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traits</title> <meta name="description" content="Search results for: weight traits"> <meta name="keywords" content="weight traits"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="weight traits"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 4436</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: weight traits</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4436</span> Improvement of the Melon (Cucumis melo L.) through Genetic Gain and Discriminant Function</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20R.%20Naroui%20Rad">M. R. Naroui Rad</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Fanaei"> H. Fanaei</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Ghalandarzehi"> A. Ghalandarzehi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To find out the yield of melon, the traits are vital. This research was performed with the objective to assess the impact of nine different morphological traits on the production of 20 melon landraces in the sistan weather region. For all the traits genetic variation was noted. Minimum genetical variance (9.66) along with high genetic interaction with the environment led to low heritability (0.24) of the yield. The broad sense heritability of the traits that were included into the differentiating model was more than it was in the production. In this study, the five selected traits, number of fruit, fruit weight, fruit width, flesh diameter and plant yield can differentiate the genotypes with high or low production. This demonstrated the significance of these 5 traits in plant breeding programs. Discriminant function of these 5 traits, particularly, the weight of the fruit, in case of the current outputs was employed as an all-inclusive parameter for pointing out landraces with the highest yield. 75% of variation in yield can be explained with this index, and the weight of fruit also has substantial relation with the total production (r=0.72**). This factor can be highly beneficial in case of future breeding program selections. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=melon" title="melon">melon</a>, <a href="https://publications.waset.org/abstracts/search?q=discriminant%20analysis" title=" discriminant analysis"> discriminant analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20components" title=" genetic components"> genetic components</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a>, <a href="https://publications.waset.org/abstracts/search?q=selection" title=" selection"> selection</a> </p> <a href="https://publications.waset.org/abstracts/48563/improvement-of-the-melon-cucumis-melo-l-through-genetic-gain-and-discriminant-function" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48563.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">333</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4435</span> Genetics of Birth and Weaning Weight of Holstein, Friesians in Sudan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Safa%20A.%20Mohammed%20Ali">Safa A. Mohammed Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Ammar%20S.%20Ahamed"> Ammar S. Ahamed</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Khair%20Abdalla"> Mohammed Khair Abdalla</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objectives of this study were to estimate the means and genetic parameters of birth and weaning weight of calves of pure Holstein-Friesian cows raised in Sudan. The traits studied were:*Weight at birth *Weight at weaning. The study also included some of the important factors that affected these traits. The data were analyzed using Harvey’s Least Squares and Maximum Likelihood programme. The results obtained showed that the overall mean weight at birth of the calves under study was 34.36±0.94kg. Male calves were found to be heavier than females; the difference between the sexes was highly significant (P<0.001). The mean weight at birth of male calves was 34.27±1.17 kg while that of females was 32.51±1.14kg. The effect of sex of calves, sire and parity of dam were highly significant (P<0.001). The overall mean of weight at weaning was 67.10 ± 5.05 kg, weight at weaning was significantly (p<0.001) effected by sex of calves, sire, year and season of birth have highly significant (P<0.001) effect on either trait. Also estimates heritabilities of birth weight was (0.033±0.015) lower than heritabilities of weaning weight (0.224±0.039), and genetic correlation was 0.563, the phenotypic correlation 0.281, and the environmental correlation 0.268. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=birth" title="birth">birth</a>, <a href="https://publications.waset.org/abstracts/search?q=weaning" title=" weaning"> weaning</a>, <a href="https://publications.waset.org/abstracts/search?q=weight" title=" weight"> weight</a>, <a href="https://publications.waset.org/abstracts/search?q=friesian" title=" friesian"> friesian</a> </p> <a href="https://publications.waset.org/abstracts/28077/genetics-of-birth-and-weaning-weight-of-holstein-friesians-in-sudan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28077.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">665</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4434</span> Genetic Divergence Study of Rice on the Basis of Various Morphological Traits</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Ashfaq">Muhammad Ashfaq</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Saleem%20Haider"> Muhammad Saleem Haider</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Ali"> Muhammad Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Sajjad"> Muhammad Sajjad</a>, <a href="https://publications.waset.org/abstracts/search?q=Amna%20Ali"> Amna Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Urooj%20Mubashar"> Urooj Mubashar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Phenotypic diversity was confirmed by measuring different morphological traits i.e. seed traits (seed length, seed width, seed thickness, seed length-width ratio, 1000 grain weight) and root-shoot traits (shoot length, root length, shoot fresh weight, root fresh weight, root-shoot ratio, root numbers and root thickness). Variance and association study of desirable traits determine the genotypic differences among the rice germplasm. All the traits showed significant differences among the genotypes. The traits were studied in Randomized complete block design (RCBD) at different water levels. Some traits showed positive correlation with each other and beneficial for increasing the yield and production of the crop. Seed thickness has positive correlation with seed length and seed width (r= 0.104**, r=0.246**). On the other hand, various root shoot traits showed positive highly significant association at different water levels i.e. root length, fresh root weight, root thickness, shoot thickness and root numbers. Our main focus to study the performance/correlation of root shoots traits under stress condition. Fresh root weight, shoot thickness and root numbers showed positive significant association with shoot length, root length, fresh root and shoot weight (r=0.2530**, r=0.2891**, r=0.4626**, r=0.4515**, r=0.5781**, r=0.7164**, r=0.0603**, r= 0.5570**, r=0.5824**). Long root length genotypes favors and suitable for drought stress conditions and screening of diverse genotypes for the further development of new plant material that performing well under different environmental conditions. After screening genetic diversity of potential rice, lines were studied to check the polymorphism by using some SSR markers. DNA was extracted, and PCR analyses were done to study PIC values and allelic diversity of the genotypes. The main objective of this study is to screen out the genotypes on the basis of various genotypic and phenotypic traits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=rice" title="rice">rice</a>, <a href="https://publications.waset.org/abstracts/search?q=morphological%20traits" title=" morphological traits"> morphological traits</a>, <a href="https://publications.waset.org/abstracts/search?q=association" title=" association"> association</a>, <a href="https://publications.waset.org/abstracts/search?q=germplasm" title=" germplasm"> germplasm</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20diversity" title=" genetic diversity"> genetic diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20levels" title=" water levels"> water levels</a>, <a href="https://publications.waset.org/abstracts/search?q=variation" title=" variation"> variation</a> </p> <a href="https://publications.waset.org/abstracts/53359/genetic-divergence-study-of-rice-on-the-basis-of-various-morphological-traits" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53359.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">321</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4433</span> Prediction of Fillet Weight and Fillet Yield from Body Measurements and Genetic Parameters in a Complete Diallel Cross of Three Nile Tilapia (Oreochromis niloticus) Strains</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kassaye%20Balkew%20Workagegn">Kassaye Balkew Workagegn</a>, <a href="https://publications.waset.org/abstracts/search?q=Gunnar%20Klemetsdal"> Gunnar Klemetsdal</a>, <a href="https://publications.waset.org/abstracts/search?q=Hans%20Magnus%20Gj%C3%B8en"> Hans Magnus Gjøen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, the first objective was to investigate whether non-lethal or non-invasive methods, utilizing body measurements, could be used to efficiently predict fillet weight and fillet yield for a complete diallel cross of three Nile tilapia (Oreochromis niloticus) strains collected from three Ethiopian Rift Valley lakes, Lakes Ziway, Koka and Chamo. The second objective was to estimate heritability of body weight, actual and predicted fillet traits, as well as genetic correlations between these traits. A third goal was to estimate additive, reciprocal, and heterosis effects for body weight and the various fillet traits. As in females, early sexual maturation was widespread, only 958 male fish from 81 full-sib families were used, both for the prediction of fillet traits and in genetic analysis. The prediction equations from body measurements were established by forward regression analysis, choosing models with the least predicted residual error sums of squares (PRESS). The results revealed that body measurements on live Nile tilapia is well suited to predict fillet weight but not fillet yield (R²= 0.945 and 0.209, respectively), but both models were seemingly unbiased. The genetic analyses were carried out with bivariate, multibreed models. Body weight, fillet weight, and predicted fillet weight were all estimated with a heritability ranged from 0.23 to 0.28, and with genetic correlations close to one. Contrary, fillet yield was only to a minor degree heritable (0.05), while predicted fillet yield obtained a heritability of 0.19, being a resultant of two body weight variables known to have high heritability. The latter trait was estimated with genetic correlations to body weight and fillet weight traits larger than 0.82. No significant differences among strains were found for their additive genetic, reciprocal, or heterosis effects, while total heterosis effects were estimated as positive and significant (P < 0.05). As a conclusion, prediction of prediction of fillet weight based on body measurements is possible, but not for fillet yield. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=additive" title="additive">additive</a>, <a href="https://publications.waset.org/abstracts/search?q=fillet%20traits" title=" fillet traits"> fillet traits</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20correlation" title=" genetic correlation"> genetic correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=heritability" title=" heritability"> heritability</a>, <a href="https://publications.waset.org/abstracts/search?q=heterosis" title=" heterosis"> heterosis</a>, <a href="https://publications.waset.org/abstracts/search?q=prediction" title=" prediction"> prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=reciprocal" title=" reciprocal"> reciprocal</a> </p> <a href="https://publications.waset.org/abstracts/158832/prediction-of-fillet-weight-and-fillet-yield-from-body-measurements-and-genetic-parameters-in-a-complete-diallel-cross-of-three-nile-tilapia-oreochromis-niloticus-strains" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158832.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">188</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4432</span> Genetic Analysis of Growth Traits in White Boni Sheep under the Central Highlands Region of Yemen</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abed%20Al-Bial">Abed Al-Bial</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Alazazie"> S. Alazazie</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Shami"> A. Shami</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The data were collected from 1992 to 2009 of White Boni sheep maintained at the Regional Research Station in the Central Highlands of Yemen. Data were analyzed to study the growth related traits and their genetic control. The least square means for body weights were 2.26±0.67, 11.14±0.46 and 19.21±1.25 kg for birth weight (BW), weaning weight (WW), six-month weight (WM6), respectively. The pre- and post-weaning average daily weight gains (ADG1 and ADG2) were 106.04±4.98g and 46.21±8.36 g/ day. Significant differences associated with the year of lambing were observed in body weight and weight gain at different stages of growth. Males were heavier and had a higher weight gain than females at almost all stages of growth and differences tended to increase with age. Single-born lambs had a distinct advantage over those born in twin births at all stages of growth. The lambs in the dam’s second to fourth parities were generally of heavier weight and higher daily weight gain than those in other parities. The heritabilities of all body weights, weight gains at different stages of growth were moderate (0.11-0.43). The phenotypic and genetic correlation among the different body weights were positive and high. The genetic correlations of the pre- and post-weaning average daily gains with body weights were hight to moderate, except BW with ADG2. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breed" title="breed">breed</a>, <a href="https://publications.waset.org/abstracts/search?q=genetics" title=" genetics"> genetics</a>, <a href="https://publications.waset.org/abstracts/search?q=growth%20traits" title=" growth traits"> growth traits</a>, <a href="https://publications.waset.org/abstracts/search?q=heritability" title=" heritability"> heritability</a>, <a href="https://publications.waset.org/abstracts/search?q=sheep" title=" sheep "> sheep </a> </p> <a href="https://publications.waset.org/abstracts/29533/genetic-analysis-of-growth-traits-in-white-boni-sheep-under-the-central-highlands-region-of-yemen" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29533.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">513</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4431</span> Estimates of (Co)Variance Components and Genetic Parameters for Body Weights and Growth Efficiency Traits in the New Zealand White Rabbits</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Sakthivel">M. Sakthivel</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Devaki"> A. Devaki</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Balasubramanyam"> D. Balasubramanyam</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Kumarasamy"> P. Kumarasamy</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Raja"> A. Raja</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Anilkumar"> R. Anilkumar</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Gopi"> H. Gopi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The genetic parameters of growth traits in the New Zealand White rabbits maintained at Sheep Breeding and Research Station, Sandynallah, The Nilgiris, India were estimated by partitioning the variance and covariance components. The (co)variance components of body weights at weaning (W42), post-weaning (W70) and marketing (W135) age and growth efficiency traits viz., average daily gain (ADG), relative growth rate (RGR) and Kleiber ratio (KR) estimated on a daily basis at different age intervals (1=42 to 70 days; 2=70 to 135 days and 3=42 to 135 days) from weaning to marketing were estimated by restricted maximum likelihood, fitting six animal models with various combinations of direct and maternal effects. Data were collected over a period of 15 years (1998 to 2012). A log-likelihood ratio test was used to select the most appropriate univariate model for each trait, which was subsequently used in bivariate analysis. Heritability estimates for W42, W70 and W135 were 0.42 ± 0.07, 0.40 ± 0.08 and 0.27 ± 0.07, respectively. Heritability estimates of growth efficiency traits were moderate to high (0.18 to 0.42). Of the total phenotypic variation, maternal genetic effect contributed 14 to 32% for early body weight traits (W42 and W70) and ADG1. The contribution of maternal permanent environmental effect varied from 6 to 18% for W42 and for all the growth efficiency traits except for KR2. Maternal permanent environmental effect on most of the growth efficiency traits was a carryover effect of maternal care during weaning. Direct maternal genetic correlations, for the traits in which maternal genetic effect was significant, were moderate to high in magnitude and negative in direction. Maternal effect declined as the age of the animal increased. The estimates of total heritability and maternal across year repeatability for growth traits were moderate and an optimum rate of genetic progress seems possible in the herd by mass selection. The estimates of genetic and phenotypic correlations among body weight traits were moderate to high and positive; among growth efficiency traits were low to high with varying directions; between body weights and growth efficiency traits were very low to high in magnitude and mostly negative in direction. Moderate to high heritability and higher genetic correlation in body weight traits promise good scope for genetic improvement provided measures are taken to keep the inbreeding at the lowest level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetic%20parameters" title="genetic parameters">genetic parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=growth%20traits" title=" growth traits"> growth traits</a>, <a href="https://publications.waset.org/abstracts/search?q=maternal%20effects" title=" maternal effects"> maternal effects</a>, <a href="https://publications.waset.org/abstracts/search?q=rabbit%20genetics" title=" rabbit genetics"> rabbit genetics</a> </p> <a href="https://publications.waset.org/abstracts/68262/estimates-of-covariance-components-and-genetic-parameters-for-body-weights-and-growth-efficiency-traits-in-the-new-zealand-white-rabbits" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68262.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">447</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4430</span> A Study of Body Weight and Type Traits Recorded on Hairy Goat in Punjab, Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Qayyum">A. Qayyum</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Bilal"> G. Bilal</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20M.%20Waheed"> H. M. Waheed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objectives of the study were to determine phenotypic variations in Hairy goats for quantitative and qualitative traits and to analyze the relationship between different body measurements and body weight in Hairy goats. Data were collected from the Barani Livestock Production Research Institute (BLPRI) at Kherimurat, Attock and potential farmers who were raising hairy goats in the Potohar region. Twelve (12) phenotypic parameters were measured on 99 adult Hairy goat (18 male and 81 female). Four qualitative and 8 quantitative traits were investigated. Qualitative traits were visually observed and expressed as percentages. Descriptive analysis was done on quantitative variables. All hairy goats had predominately black body coat color (72%), whereas white (11%) and brown (11%) body coat color were also observed. Both the pigmented (45.5%) and non-pigmented (54.5%) type of body skin were observed in the goat breed. Horns were present in the majority (91%) of animals. Most of the animals (83%) had straight facial head profiles. Analysis was performed in SAS On-Demand for Academics using PROC mixed model procedure. Overall means ± SD of body weight (BW), body length (BL), height at wither (HAW), ear length (EL), head length (HL), heart girth (HG), tail length (TL) and MC (muzzle circumference) were 41.44 ± 12.21 kg, 66.40 ± 7.87 cm, 75.17 ± 7.83 cm, 22.99 ± 6.75 cm, 15.07 ± 3.44 cm, 76.54 ± 8.80 cm, 18.28 ± 4.18 cm, and 26.24 ± 5.192 cm, respectively. Sex had a significant effect on BL and HG (P < 0.05), whereas BW, HAW, EL, HL, TL, and MC were not significantly affected (P > 0.05). The herd had a significant effect on BW, BL, HAW, HL, HG, and TL (P < 0.05) except EL and MC (P > 0.05). Hairy goats appear to have the potential for selection as mutton breeds in the Potohar region of Punjab. The findings of the present study would help in the characterization and conservation of hairy goats using genetic and genomic tools in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20weight" title="body weight">body weight</a>, <a href="https://publications.waset.org/abstracts/search?q=Hairy%20goat" title=" Hairy goat"> Hairy goat</a>, <a href="https://publications.waset.org/abstracts/search?q=type%20traits%20Punjab" title=" type traits Punjab"> type traits Punjab</a>, <a href="https://publications.waset.org/abstracts/search?q=Pakistan" title=" Pakistan"> Pakistan</a> </p> <a href="https://publications.waset.org/abstracts/184481/a-study-of-body-weight-and-type-traits-recorded-on-hairy-goat-in-punjab-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184481.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">66</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4429</span> Determination of the Some IGF and IGFBP2 Polymorphisms and Their Association with Growth and Egg Traits in Atak-S Chickens</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Huseyi%CC%87n%20Das">Huseyi̇n Das</a>, <a href="https://publications.waset.org/abstracts/search?q=B%C3%BClent%20Tarim"> Bülent Tarim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sunay%20Demi%CC%87r"> Sunay Demi̇r</a>, <a href="https://publications.waset.org/abstracts/search?q=Nur%C3%A7i%CC%87n%20K%C3%BC%C3%A7%C3%BCkkent"> Nurçi̇n Küçükkent</a>, <a href="https://publications.waset.org/abstracts/search?q=Sevi%CC%87l%20Cengi%CC%87z"> Sevi̇l Cengi̇z</a>, <a href="https://publications.waset.org/abstracts/search?q=Engi%CC%87n%20T%C3%BClek"> Engi̇n Tülek</a>, <a href="https://publications.waset.org/abstracts/search?q=Veci%CC%87hi%CC%87%20Aksakal"> Veci̇hi̇ Aksakal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Atak-S laying hens are a high-performance strain obtained by crossing of the Rhode Island Red (RIR) X the Barred Plymouth Rock (BR) and are being produced in the Ankara Poultry Research Institute since 1997. Phenotypic and genetic improving studies are continued for this strain. In this study, 2 from IGF and 1 from IGFBP2, totally 3 different SNP polymorphisms were examined in 200 Atak-S chickens. Genotypes of SNPs were compared using ANOVA to body weight and egg number thorough 32 weeks of age, body weight at sexual maturity, age at sexual maturity and also egg quality traits such as egg shell breaking strength, shell thickness, Haugh unit, albumen index, yolk index, shape index. Only IGF(a) locus was in agreement with Hardy-Weinberg equilibrium, while, the other loci were not. As a result of the performance comparisons to the 3 SNP loci, it was determined that there has a significant association (P<0.05) between only TC genotypes of the IGF(b) locus and body weight at 32 weeks of age, but there was not any association to the other traits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Atak-S" title="Atak-S">Atak-S</a>, <a href="https://publications.waset.org/abstracts/search?q=Igf" title=" Igf"> Igf</a>, <a href="https://publications.waset.org/abstracts/search?q=Igfbp2" title=" Igfbp2"> Igfbp2</a>, <a href="https://publications.waset.org/abstracts/search?q=single%20nucleotide%20polymorphism" title=" single nucleotide polymorphism"> single nucleotide polymorphism</a> </p> <a href="https://publications.waset.org/abstracts/48416/determination-of-the-some-igf-and-igfbp2-polymorphisms-and-their-association-with-growth-and-egg-traits-in-atak-s-chickens" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48416.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">367</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4428</span> Evaluation of Different Cowpea Genotypes Using Grain Yield and Canning Quality Traits</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Magdeline%20Pakeng%20Mohlala">Magdeline Pakeng Mohlala</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20L.%20Molatudi"> R. L. Molatudi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Mofokeng"> M. A. Mofokeng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cowpea (Vigna unguiculata (L.) Walp) is an important annual leguminous crop in semi-arid and tropics. Most of cowpea grain production in South Africa is mainly used for domestic consumption, as seed planting and little or none gets to be used in industrial processing; thus, there is a need to expand the utilization of cowpea through industrial processing. Agronomic traits contribute to the understanding of the association between yield and its component traits to facilitate effective selection for yield improvement. The aim of this study was to evaluate cowpea genotypes using grain yield and canning quality traits. The field experiment was conducted in two locations in Limpopo Province, namely Syferkuil Agricultural Experimental farm and Ga-Molepo village during 2017/2018 growing season and canning took place at ARC-Grain Crops Potchefstroom. The experiment comprised of 100 cowpea genotypes laid out in a Randomized Complete Block Designs (RCBD). The grain yield, yield components, and canning quality traits were analysed using Genstat software. About 62 genotypes were suitable for canning, 38 were not due to their seed coat texture, and water uptake was less than 80% resulting in too soft (mushy) seeds. Grain yield for RV115, 99k-494-6, ITOOK1263, RV111, RV353 and 53 other genotypes recorded high positive association with number of branches, pods per plant, and number of seeds per pod, unshelled weight and shelled weight for Syferkuil than at Ga-Molepo are therefore recommended for canning quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agronomic%20traits" title="agronomic traits">agronomic traits</a>, <a href="https://publications.waset.org/abstracts/search?q=canning%20quality" title=" canning quality"> canning quality</a>, <a href="https://publications.waset.org/abstracts/search?q=genotypes" title=" genotypes"> genotypes</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a> </p> <a href="https://publications.waset.org/abstracts/111192/evaluation-of-different-cowpea-genotypes-using-grain-yield-and-canning-quality-traits" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111192.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">152</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4427</span> Genetic Trait Analysis of RIL Barley Genotypes to Sort-out the Top Ranked Elites for Advanced Yield Breeding Across Multi Environments of Tigray, Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hailekiros%20Tadesse%20Tekle">Hailekiros Tadesse Tekle</a>, <a href="https://publications.waset.org/abstracts/search?q=Yemane%20Tsehaye"> Yemane Tsehaye</a>, <a href="https://publications.waset.org/abstracts/search?q=Fetien%20Abay"> Fetien Abay</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Barley (Hordeum vulgare L.) is one of the most important cereal crops in the world, grown for the poor farmers in Tigray with low yield production. The purpose of this research was to estimate the performance of 166 barley genotypes against the quantitative traits with detailed analysis of the variance component, heritability, genetic advance, and genetic usefulness parameters. The finding of ANOVA was highly significant variation (p ≤ 0:01) for all the genotypes. We found significant differences in coefficient of variance (CV of 15%) for 5 traits out of the 12 quantitative traits. The topmost broad sense heritability (H2) was recorded for seeds per spike (98.8%), followed by thousand seed weight (96.5%) with 79.16% and 56.25%, respectively, of GAM. The traits with H2 ≥ 60% and GA/GAM ≥ 20% suggested the least influenced by the environment, governed by the additive genes and direct selection for improvement of such beneficial traits for the studied genotypes. Hence, the 20 outstanding recombinant inbred lines (RIL) barley genotypes performing early maturity, high yield, and 1000 seed weight traits simultaneously were the top ranked group barley genotypes out of the 166 genotypes. These are; G5, G25, G33, G118, G36, G123, G28, G34, G14, G10, G3, G13, G11, G32, G8, G39, G23, G30, G37, and G26. They were early in maturity, high TSW and GYP (TSW ≥ 55 g, GYP ≥ 15.22 g/plant, and DTM below 106 days). In general, the 166 genotypes were classified as high (group 1), medium (group 2), and low yield production (group 3) genotypes in terms of yield and yield component trait analysis by clustering; and genotype parameter analysis such as the heritability, genetic advance, and genetic usefulness traits in this investigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=barley" title="barley">barley</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20advance" title=" genetic advance"> genetic advance</a>, <a href="https://publications.waset.org/abstracts/search?q=heritability" title=" heritability"> heritability</a>, <a href="https://publications.waset.org/abstracts/search?q=usefulness" title=" usefulness"> usefulness</a>, <a href="https://publications.waset.org/abstracts/search?q=variability" title=" variability"> variability</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a> </p> <a href="https://publications.waset.org/abstracts/167264/genetic-trait-analysis-of-ril-barley-genotypes-to-sort-out-the-top-ranked-elites-for-advanced-yield-breeding-across-multi-environments-of-tigray-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167264.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">86</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4426</span> Fatty Acid Binding Protein 3 Gene Polymorphisms and Their Associations with Growth Traits and Blood Parameters in Two Iranian Sheep Breeds</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sahar%20Javadi-Novashnagh">Sahar Javadi-Novashnagh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Moradi-Shahrbabak"> Mohammad Moradi-Shahrbabak</a>, <a href="https://publications.waset.org/abstracts/search?q=Mostafa%20Sadeghi"> Mostafa Sadeghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Katarzyna%20Ropka-Molik"> Katarzyna Ropka-Molik</a>, <a href="https://publications.waset.org/abstracts/search?q=Hossein%20Moradi-Shahrbabak"> Hossein Moradi-Shahrbabak</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20Consuelo%20Mura"> Maria Consuelo Mura</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this study was to investigate two single nucleotide polymorphisms located in exon 2 (g.939A > G) and intron 3 (g.4349A > G) of fatty acid binding protein 3 (FABP3) gene in two Iranian sheep breeds, Lori-Bakhtiari and Zel, using polymerase chain reaction -restriction fragment length polymorphism (PCR-RFLP) approach. The association of the polymorphisms with growth traits and blood parameters was also examined. Results revealed a g.939A > G SNP (single nucleotide polymorphism) in the exon 2 exhibiting three genotypes: AA, AG, and GG. Statistical analysis indicated that this polymorphism significantly influenced blood triglyceride (P < 0.05) and cholesterol (P < 0.08) levels as well as weaning weight (P < 0.05). Animals with AG genotype had the highest blood triglyceride level and weaning weight while the highest amount of blood cholesterol was observed in animals with GG genotype. On the other hand, no significant effect was observed on birth and fat-tail weight traits. The intron 3 (g.4349A > G) was monomorphic across the studied samples. Lori-Bakhtiari breed showed significantly higher blood triglyceride and cholesterol levels, as also birth and weaning weight compared to Zel breed (P < 0.01). Considering that the literature is bereft of any report on the association study between FABP3 SNPs and sheep growth traits and blood parameters, our findings suggest that the investigated polymorphism might be one of the main genetic factors affecting growth and physiological traits in sheep. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=FABP3%20gene" title="FABP3 gene">FABP3 gene</a>, <a href="https://publications.waset.org/abstracts/search?q=fatness" title=" fatness"> fatness</a>, <a href="https://publications.waset.org/abstracts/search?q=weaning%20weight" title=" weaning weight"> weaning weight</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20triglyceride" title=" blood triglyceride"> blood triglyceride</a>, <a href="https://publications.waset.org/abstracts/search?q=cholesterol" title=" cholesterol"> cholesterol</a>, <a href="https://publications.waset.org/abstracts/search?q=Zel" title=" Zel"> Zel</a>, <a href="https://publications.waset.org/abstracts/search?q=Lori-Bakhtiari" title=" Lori-Bakhtiari"> Lori-Bakhtiari</a> </p> <a href="https://publications.waset.org/abstracts/28858/fatty-acid-binding-protein-3-gene-polymorphisms-and-their-associations-with-growth-traits-and-blood-parameters-in-two-iranian-sheep-breeds" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28858.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">699</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4425</span> Principal Component Analysis of Body Weight and Morphometric Traits of New Zealand Rabbits Raised under Semi-Arid Condition in Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Abayomi%20Rotimi">Emmanuel Abayomi Rotimi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Context: Rabbits production plays important role in increasing animal protein supply in Nigeria. Rabbit production provides a cheap, affordable, and healthy source of meat. The growth of animals involves an increase in body weight, which can change the conformation of various parts of the body. Live weight and linear measurements are indicators of growth rate in rabbits and other farm animals. Aims: This study aimed to define the body dimensions of New Zealand rabbits and also to investigate the morphometric traits variables that contribute to body conformation by the use of principal component analysis (PCA). Methods: Data were obtained from 80 New Zealand rabbits (40 bucks and 40 does) raised in Livestock Teaching and Research Farm, Federal University Dutsinma. Data were taken on body weight (BWT), body length (BL), ear length (EL), tail length (TL), heart girth (HG) and abdominal circumference (AC). Data collected were subjected to multivariate analysis using SPSS 20.0 statistical package. Key results: The descriptive statistics showed that the mean BWT, BL, EL, TL, HG, and AC were 0.91kg, 27.34cm, 10.24cm, 8.35cm, 19.55cm and 21.30cm respectively. Sex showed significant (P<0.05) effect on all the variables examined, with higher values recorded for does. The phenotypic correlation coefficient values (r) between the morphometric traits were all positive and ranged from r = 0.406 (between EL and BL) to r = 0.909 (between AC and HG). HG is the most correlated with BWT (r = 0.786). The principal component analysis with variance maximizing orthogonal rotation was used to extract the components. Two principal components (PCs) from the factor analysis of morphometric traits explained about 80.42% of the total variance. PC1 accounted for 64.46% while PC2 accounted for 15.97% of the total variances. Three variables, representing body conformation, loaded highest in PC1. PC1 had the highest contribution (64.46%) to the total variance, and it is regarded as body conformation traits. Conclusions: This component could be used as selection criteria for improving body weight of rabbits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conformation" title="conformation">conformation</a>, <a href="https://publications.waset.org/abstracts/search?q=multicollinearity" title=" multicollinearity"> multicollinearity</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate" title=" multivariate"> multivariate</a>, <a href="https://publications.waset.org/abstracts/search?q=rabbits%20and%20principal%20component%20analysis" title=" rabbits and principal component analysis"> rabbits and principal component analysis</a> </p> <a href="https://publications.waset.org/abstracts/110184/principal-component-analysis-of-body-weight-and-morphometric-traits-of-new-zealand-rabbits-raised-under-semi-arid-condition-in-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110184.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4424</span> A Multimodal Approach to Improve the Performance of Biometric System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chander%20Kant">Chander Kant</a>, <a href="https://publications.waset.org/abstracts/search?q=Arun%20Kumar"> Arun Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Biometric systems automatically recognize an individual based on his/her physiological and behavioral characteristics. There are also some traits like weight, age, height etc. that may not provide reliable user recognition because of there common and temporary nature. These traits are called soft bio metric traits. Although soft bio metric traits are lack of permanence to uniquely and reliably identify an individual, yet they provide some beneficial evidence about the user identity and may improve the system performance. Here in this paper, we have proposed an approach for integrating the soft bio metrics with fingerprint and face to improve the performance of personal authentication system. In our approach we have proposed a combined architecture of three different sensors to elevate the system performance. The approach includes, soft bio metrics, fingerprint and face traits. We have also proven the efficiency of proposed system regarding FAR (False Acceptance Ratio) and total response time, with the help of MUBI (Multimodal Bio metrics Integration) software. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=FAR" title="FAR">FAR</a>, <a href="https://publications.waset.org/abstracts/search?q=minutiae%20point" title=" minutiae point"> minutiae point</a>, <a href="https://publications.waset.org/abstracts/search?q=multimodal%20bio%20metrics" title=" multimodal bio metrics"> multimodal bio metrics</a>, <a href="https://publications.waset.org/abstracts/search?q=primary%20bio%20metric" title=" primary bio metric"> primary bio metric</a>, <a href="https://publications.waset.org/abstracts/search?q=soft%20bio%20metric" title=" soft bio metric"> soft bio metric</a> </p> <a href="https://publications.waset.org/abstracts/12625/a-multimodal-approach-to-improve-the-performance-of-biometric-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12625.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">346</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4423</span> Growth Curves Genetic Analysis of Native South Caspian Sea Poultry Using Bayesian Statistics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jamal%20Fayazi">Jamal Fayazi</a>, <a href="https://publications.waset.org/abstracts/search?q=Farhad%20Anoosheh"> Farhad Anoosheh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20R.%20Ghorbani"> Mohammad R. Ghorbani</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20R.%20Paydar"> Ali R. Paydar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, to determine the best non-linear regression model describing the growth curve of native poultry, 9657 chicks of generations 18, 19, and 20 raised in Mazandaran breeding center were used. Fowls and roosters of this center distributed in south of Caspian Sea region. To estimate the genetic variability of none linear regression parameter of growth traits, a Gibbs sampling of Bayesian analysis was used. The average body weight traits in the first day (BW1), eighth week (BW8) and twelfth week (BW12) were respectively estimated as 36.05, 763.03, and 1194.98 grams. Based on the coefficient of determination, mean squares of error and Akaike information criteria, Gompertz model was selected as the best growth descriptive function. In Gompertz model, the estimated values for the parameters of maturity weight (A), integration constant (B) and maturity rate (K) were estimated to be 1734.4, 3.986, and 0.282, respectively. The direct heritability of BW1, BW8 and BW12 were respectively reported to be as 0.378, 0.3709, 0.316, 0.389, 0.43, 0.09 and 0.07. With regard to estimated parameters, the results of this study indicated that there is a possibility to improve some property of growth curve using appropriate selection programs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=direct%20heritability" title="direct heritability">direct heritability</a>, <a href="https://publications.waset.org/abstracts/search?q=Gompertz" title=" Gompertz"> Gompertz</a>, <a href="https://publications.waset.org/abstracts/search?q=growth%20traits" title=" growth traits"> growth traits</a>, <a href="https://publications.waset.org/abstracts/search?q=maturity%20weight" title=" maturity weight"> maturity weight</a>, <a href="https://publications.waset.org/abstracts/search?q=native%20poultry" title=" native poultry"> native poultry</a> </p> <a href="https://publications.waset.org/abstracts/91206/growth-curves-genetic-analysis-of-native-south-caspian-sea-poultry-using-bayesian-statistics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91206.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">264</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4422</span> Effect of Probiotic and Prebiotic on Performance, Some Blood Parameters, and Intestine Morphology of Laying Hens</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Zarei">A. Zarei</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Porkhalili"> M. Porkhalili</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Gholamhosseini"> B. Gholamhosseini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this experiment, sixty Hy-Line (W-36) laying hens were selected in 40weeks of age. Experimental diets were consumed for 12 weeks duration by them. The experimental design was completely randomized block included four treatments and each of them with five replications and three sample in each replicate. Treatments were as follow: Basal diet+probiotic, basal diet + prebiotic and basal diet+probiotic+ prebiotic. Performance traits were measured such as: hen production, egg weight, feed intake, feed conversion ratio ,shell thickness, shell strength, shell weight, hough unit, yolk color, and yolk cholesterol. Blood parameters like; Ca, cholesterol, triglyceride, VLDL and antibody titer and so morphological of intestine were determined. At the end of experimental period, after sampling from end of cecum, bacterial colony count was measured. Results showed; shell weight was significantly greater than other treatments in probiotic treatment.Yolk weight in prebiotic treatment was significantly greater than other treatments. The ratio of height of villi to dept of crypt cells in duodenum, jejunum, ileum and secum in prebiotic treatment were significantly greater. Results from the other traits were not significant between treatments, however there were totally good results in other traits with simultaneous usage of probiotic and prebiotic. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=probiotic" title="probiotic">probiotic</a>, <a href="https://publications.waset.org/abstracts/search?q=prebiotic" title=" prebiotic"> prebiotic</a>, <a href="https://publications.waset.org/abstracts/search?q=laying%20hens" title=" laying hens"> laying hens</a>, <a href="https://publications.waset.org/abstracts/search?q=performance" title=" performance"> performance</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20parameters" title=" blood parameters"> blood parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=intestine%20morphology" title=" intestine morphology"> intestine morphology</a> </p> <a href="https://publications.waset.org/abstracts/23875/effect-of-probiotic-and-prebiotic-on-performance-some-blood-parameters-and-intestine-morphology-of-laying-hens" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23875.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">322</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4421</span> Callous-Unemotional Traits in Preschoolers: Distinct Associations with Empathy Subcomponents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Stylianopoulou">E. Stylianopoulou</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20K.%20Fanti"> A. K. Fanti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Object: Children scoring high on Callous-Unemotional traits (CU traits) exhibit lack of empathy. More specifically, children scoring high on CU traits appear to exhibit deficits on affective empathy or deficits in other constructs. However, little is known about cognitive empathy, and it's relation with CU traits in preschoolers. Despite the fact that empathy is measurable at a very young age, relatively less study has focused on empathy in preschoolers than older children with CU traits. The present study examines the cognitive and affective empathy in preschoolers with CU traits. The aim was to examine the differences between cognitive and affective empathy in those individuals. Based on previous research in children with CU traits, it was hypothesized that preschoolers scoring high in CU traits will show deficits in both cognitive and affective empathy; however, more deficits will be detected in affective empathy rather than cognitive empathy. Method: The sample size was 209 children, of which 109 were male, and 100 were female between the ages of 3 and 7 (M=4.73, SD=0.71). From those participants, only 175 completed all the items. The Inventory of Callous-Unemotional traits was used to measure CU traits. Moreover, the Griffith Empathy Measure (GEM) Affective Scale and the Griffith Empathy Measure (GEM) Cognitive Scale was used to measure Affective and Cognitive empathy, respectively. Results: Linear Regression was applied to examine the preceding hypotheses. The results showed that generally, there was a moderate negative association between CU traits and empathy, which was significant. More specifically, it has been found that there was a significant and negative moderate relation between CU traits and cognitive empathy. Surprisingly, results indicated that there was no significant relation between CU traits and affective empathy. Conclusion: The current findings support that preschoolers show deficits in understanding others emotions, indicating a significant association between CU traits and cognitive empathy. However, such a relation was not found between CU traits and affective empathy. The current results raised the importance that there is a need for focusing more on cognitive empathy in preschoolers with CU traits, a component that seems to be underestimated till now. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=affective%20empathy" title="affective empathy">affective empathy</a>, <a href="https://publications.waset.org/abstracts/search?q=callous-unemotional%20traits" title=" callous-unemotional traits"> callous-unemotional traits</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20empathy" title=" cognitive empathy"> cognitive empathy</a>, <a href="https://publications.waset.org/abstracts/search?q=preschoolers" title=" preschoolers"> preschoolers</a> </p> <a href="https://publications.waset.org/abstracts/129655/callous-unemotional-traits-in-preschoolers-distinct-associations-with-empathy-subcomponents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129655.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">152</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4420</span> Polymorphism in Myostatin Gene and Its Association with Growth Traits in Kurdi Sheep of Northern Khorasan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Masoud%20Alipanah">Masoud Alipanah</a>, <a href="https://publications.waset.org/abstracts/search?q=Sekineh%20Akbari"> Sekineh Akbari</a>, <a href="https://publications.waset.org/abstracts/search?q=Gholamreza%20Dashab"> Gholamreza Dashab</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Myostatin genes or factor 8 affecting on growth and making differentiation works (GDF8) as a moderator in the development of skeletal muscle inhibitor. If mutations occurs in the coding region of myostatin, alter its inhibitory role and the muscle growth is increased. In this study, blood samples were collected randomly from 60 Kurdish sheep in northern Khorasan and DNA extraction was performed using a modified salt. A fragment 337 bp from exon 3 myostatin gene and-specific primers by using a polymerase chain reaction (PCR) were amplified. In order to detect different forms of an allele at this locus HaeΙΙΙ restriction enzymes and PCR-RFLP analysis were used. Band patterns clarification was performed using agarose gel electrophoresis. The frequency of genotypes mm, Mm, and MM, were respectively detected, 0, 0.15 and 0.85. The allele frequency for alleles m and M, were respectively, 0.07 and 0.93. The statistical analyses indicated that m allele was significantly associated with body weight. The results of this study suggest that the Myostatin gene possibly is a candidate gene that affects growth traits in Kurdish sheep. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GDF8%20gene" title="GDF8 gene">GDF8 gene</a>, <a href="https://publications.waset.org/abstracts/search?q=Kurdi%20Sheep%20of%20Northern%20Khorasan" title=" Kurdi Sheep of Northern Khorasan"> Kurdi Sheep of Northern Khorasan</a>, <a href="https://publications.waset.org/abstracts/search?q=polymorphism" title=" polymorphism"> polymorphism</a>, <a href="https://publications.waset.org/abstracts/search?q=weight%20traits" title=" weight traits"> weight traits</a> </p> <a href="https://publications.waset.org/abstracts/25104/polymorphism-in-myostatin-gene-and-its-association-with-growth-traits-in-kurdi-sheep-of-northern-khorasan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25104.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">340</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4419</span> Bartlett Factor Scores in Multiple Linear Regression Equation as a Tool for Estimating Economic Traits in Broilers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oluwatosin%20M.%20A.%20Jesuyon">Oluwatosin M. A. Jesuyon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to propose a simpler tool that eliminates the age-long problems associated with the traditional index method for selection of multiple traits in broilers, the Barttlet factor regression equation is being proposed as an alternative selection tool. 100 day-old chicks each of Arbor Acres (AA) and Annak (AN) broiler strains were obtained from two rival hatcheries in Ibadan Nigeria. These were raised in deep litter system in a 56-day feeding trial at the University of Ibadan Teaching and Research Farm, located in South-west Tropical Nigeria. The body weight and body dimensions were measured and recorded during the trial period. Eight (8) zoometric measurements namely live weight (g), abdominal circumference, abdominal length, breast width, leg length, height, wing length and thigh circumference (all in cm) were recorded randomly from 20 birds within strain, at a fixed time on the first day of the new week respectively with a 5-kg capacity Camry scale. These records were analyzed and compared using completely randomized design (CRD) of SPSS analytical software, with the means procedure, Factor Scores (FS) in stepwise Multiple Linear Regression (MLR) procedure for initial live weight equations. Bartlett Factor Score (BFS) analysis extracted 2 factors for each strain, termed Body-length and Thigh-meatiness Factors for AA, and; Breast Size and Height Factors for AN. These derived orthogonal factors assisted in deducing and comparing trait-combinations that best describe body conformation and Meatiness in experimental broilers. BFS procedure yielded different body conformational traits for the two strains, thus indicating the different economic traits and advantages of strains. These factors could be useful as selection criteria for improving desired economic traits. The final Bartlett Factor Regression equations for prediction of body weight were highly significant with P < 0.0001, R2 of 0.92 and above, VIF of 1.00, and DW of 1.90 and 1.47 for Arbor Acres and Annak respectively. These FSR equations could be used as a simple and potent tool for selection during poultry flock improvement, it could also be used to estimate selection index of flocks in order to discriminate between strains, and evaluate consumer preference traits in broilers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alternative%20selection%20tool" title="alternative selection tool">alternative selection tool</a>, <a href="https://publications.waset.org/abstracts/search?q=Bartlet%20factor%20regression%20model" title=" Bartlet factor regression model"> Bartlet factor regression model</a>, <a href="https://publications.waset.org/abstracts/search?q=consumer%20preference%20trait" title=" consumer preference trait"> consumer preference trait</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20and%20body%20measurements" title=" linear and body measurements"> linear and body measurements</a>, <a href="https://publications.waset.org/abstracts/search?q=live%20body%20weight" title=" live body weight"> live body weight</a> </p> <a href="https://publications.waset.org/abstracts/65356/bartlett-factor-scores-in-multiple-linear-regression-equation-as-a-tool-for-estimating-economic-traits-in-broilers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65356.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">203</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4418</span> Variations in Wood Traits across Major Gymnosperm and Angiosperm Tree Species and the Driving Factors in China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meixia%20Zhang">Meixia Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Chengjun%20Ji"> Chengjun Ji</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenxuan%20Han"> Wenxuan Han</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many wood traits are important functional attributes for tree species, connected with resource competition among species, community dynamics, and ecosystem functions. Large variations in these traits exist among taxonomic categories, but variation in these traits between gymnosperms and angiosperms is still poorly documented. This paper explores the systematic differences in 12 traits between the two tree categories and the potential effects of environmental factors and life form. Based on a database of wood traits for major gymnosperm and angiosperm tree species across China, the values of 12 wood traits and their driving factors in gymnosperms vs. angiosperms were compared. The results are summarized below: i) Means of wood traits were all significantly lower in gymnosperms than in angiosperms. ii) Air-dried density (ADD) and tangential shrinkage coefficient (TSC) reflect the basic information of wood traits for gymnosperms, while ADD and radial shrinkage coefficient (RSC) represent those for angiosperms, providing higher explanation power when used as the evaluation index of wood traits. iii) For both gymnosperm and angiosperm species, life form exhibits the largest explanation rate for large-scale spatial patterns of ADD, TSC (RSC), climatic factors the next, and edaphic factors have the least effect, suggesting that life form is the dominant factor controlling spatial patterns of wood traits. Variations in the magnitude and key traits between gymnosperms and angiosperms and the same dominant factors might indicate the evolutionary divergence and convergence in key functional traits among woody plants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=allometry" title="allometry">allometry</a>, <a href="https://publications.waset.org/abstracts/search?q=functional%20traits" title=" functional traits"> functional traits</a>, <a href="https://publications.waset.org/abstracts/search?q=phylogeny" title=" phylogeny"> phylogeny</a>, <a href="https://publications.waset.org/abstracts/search?q=shrinkage%20coefficient" title=" shrinkage coefficient"> shrinkage coefficient</a>, <a href="https://publications.waset.org/abstracts/search?q=wood%20density" title=" wood density"> wood density</a> </p> <a href="https://publications.waset.org/abstracts/70653/variations-in-wood-traits-across-major-gymnosperm-and-angiosperm-tree-species-and-the-driving-factors-in-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70653.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">276</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4417</span> Agro-Morphological Traits Based Genetic Diversity Analysis of ‘Ethiopian Dinich’ Plectranthus edulis (Vatke) Agnew Populations Collected from Diverse Agro-Ecologies in Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fekadu%20Gadissa">Fekadu Gadissa</a>, <a href="https://publications.waset.org/abstracts/search?q=Kassahun%20Tesfaye"> Kassahun Tesfaye</a>, <a href="https://publications.waset.org/abstracts/search?q=Kifle%20Dagne"> Kifle Dagne</a>, <a href="https://publications.waset.org/abstracts/search?q=Mulatu%20Geleta"> Mulatu Geleta </a> </p> <p class="card-text"><strong>Abstract:</strong></p> ‘Ethiopian dinich’ also called ‘Ethiopian potato’ is one of the economically important ‘orphan’ edible tuber crops indigenous to Ethiopia. We evaluated the morphological and agronomic traits performances of 174 samples from Ethiopia at multiple locations using 12 qualitative and 16 quantitative traits, recorded at the correct growth stages. We observed several morphotypes and phenotypic variations for qualitative traits along with a wide range of mean performance values for all quantitative traits. Analysis of variance for each quantitative trait showed a highly significant (p<0.001) variation among the collections with eventually non-significant variation for environment-traits interaction for all but flower length. A comparatively high phenotypic and genotypic coefficient of variation was observed for plant height, days to flower initiation, days to 50% flowering and tuber number per hill. Moreover, the variability and coefficients of variation due to genotype-environment interaction was nearly zero for all the traits except flower length. High genotypic coefficients of variation coupled with a high estimate of broad sense heritability and high genetic advance as a percent of collection mean were obtained for tuber weight per hill, number of primary branches per plant, tuber number per hill and number of plants per hill. Association of tuber yield per hectare of land showed a large magnitude of positive phenotypic and genotypic correlation with those traits. Principal components analysis revealed 76% of the total variation for the first six principal axes with high factor loadings again from tuber number per hill, number of primary branches per plant and tuber weight. The collections were grouped into four clusters with the weak region (zone) of origin based pattern. In general, there is high genetic-based variability for ‘Ethiopian dinich’ improvement and conservation. DNA based markers are recommended for further genetic diversity estimation for use in breeding and conservation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agro-morphological%20traits" title="agro-morphological traits">agro-morphological traits</a>, <a href="https://publications.waset.org/abstracts/search?q=Ethiopian%20dinich" title=" Ethiopian dinich"> Ethiopian dinich</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20diversity" title=" genetic diversity"> genetic diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=variance%20components" title=" variance components"> variance components</a> </p> <a href="https://publications.waset.org/abstracts/86088/agro-morphological-traits-based-genetic-diversity-analysis-of-ethiopian-dinich-plectranthus-edulis-vatke-agnew-populations-collected-from-diverse-agro-ecologies-in-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86088.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">190</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4416</span> Autistic Traits and Multisensory Integration–Using a Size-Weight Illusion Paradigm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Man%20Wai%20Lei">Man Wai Lei</a>, <a href="https://publications.waset.org/abstracts/search?q=Charles%20Mark%20Zaroff"> Charles Mark Zaroff</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: A majority of studies suggest that people with Autism Spectrum Disorder (ASD) have multisensory integration deficits. However, normal and even supranormal multisensory integration abilities have also been reported. Additionally, little of this work has been undertaken utilizing a dimensional conceptualization of ASD; i.e., a broader autism phenotype. Utilizing methodology that controls for common potential confounds, the current study aimed to examine if deficits in multisensory integration are associated with ASD traits in a non-clinical population. The contribution of affective versus non-affective components of sensory hypersensitivity to multisensory integration was also examined. Methods: Participants were 147 undergraduate university students in Macau, a Special Administrative Region of China, of Chinese ethnicity, aged 16 to 21 (Mean age = 19.13; SD = 1.07). Participants completed the Autism-Spectrum Quotient, the Sensory Perception Quotient, and the Adolescent/Adult Sensory Profile, in order to measure ASD traits, non-affective, and affective aspects of sensory/perceptual hypersensitivity, respectively. In order to explore multisensory integration across visual and haptic domains, participants were asked to judge which one of two equally weighted, but different sized cylinders was heavier, as a means of detecting the presence of the size-weight illusion (SWI). Results: ASD trait level was significantly and negatively correlated with susceptibility to the SWI (p < 0.05); this correlation was not associated with either accuracy in weight discrimination or gender. Examining the top decile of the non-normally distributed SWI scores revealed a significant negative association with sensation avoiding, but not other aspects of effective or non-effective sensory hypersensitivity. Conclusion and Implications: Within the normal population, a greater degree of ASD traits is associated with a lower likelihood of multisensory integration; echoing was often found in individuals with a clinical diagnosis of ASD, and providing further evidence for the dimensional nature of this disorder. This tendency appears to be associated with dysphoric emotional reactions to sensory input. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Autism%20Spectrum%20Disorder" title="Autism Spectrum Disorder">Autism Spectrum Disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=dimensional" title=" dimensional"> dimensional</a>, <a href="https://publications.waset.org/abstracts/search?q=multisensory%20integration" title=" multisensory integration"> multisensory integration</a>, <a href="https://publications.waset.org/abstracts/search?q=size-weight%20illusion" title=" size-weight illusion"> size-weight illusion</a> </p> <a href="https://publications.waset.org/abstracts/34641/autistic-traits-and-multisensory-integration-using-a-size-weight-illusion-paradigm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34641.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">482</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4415</span> Prediction of Slaughter Body Weight in Rabbits: Multivariate Approach through Path Coefficient and Principal Component Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20A.%20Bindu">K. A. Bindu</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20V.%20Raja"> T. V. Raja</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20M.%20Rojan"> P. M. Rojan</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Siby"> A. Siby</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The multivariate path coefficient approach was employed to study the effects of various production and reproduction traits on the slaughter body weight of rabbits. Information on 562 rabbits maintained at the university rabbit farm attached to the Centre for Advanced Studies in Animal Genetics, and Breeding, Kerala Veterinary and Animal Sciences University, Kerala State, India was utilized. The manifest variables used in the study were age and weight of dam, birth weight, litter size at birth and weaning, weight at first, second and third months. The linear multiple regression analysis was performed by keeping the slaughter weight as the dependent variable and the remaining as independent variables. The model explained 48.60 percentage of the total variation present in the market weight of the rabbits. Even though the model used was significant, the standardized beta coefficients for the independent variables viz., age and weight of the dam, birth weight and litter sizes at birth and weaning were less than one indicating their negligible influence on the slaughter weight. However, the standardized beta coefficient of the second-month body weight was maximum followed by the first-month weight indicating their major role on the market weight. All the other factors influence indirectly only through these two variables. Hence it was concluded that the slaughter body weight can be predicted using the first and second-month body weights. The principal components were also developed so as to achieve more accuracy in the prediction of market weight of rabbits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=component%20analysis" title="component analysis">component analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=multivariate" title=" multivariate"> multivariate</a>, <a href="https://publications.waset.org/abstracts/search?q=slaughter" title=" slaughter"> slaughter</a>, <a href="https://publications.waset.org/abstracts/search?q=regression" title=" regression"> regression</a> </p> <a href="https://publications.waset.org/abstracts/104373/prediction-of-slaughter-body-weight-in-rabbits-multivariate-approach-through-path-coefficient-and-principal-component-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/104373.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4414</span> Genetic Variability in Advanced Derivatives of Interspecific Hybrids in Brassica</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yasir%20Ali">Yasir Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Farhatullah"> Farhatullah </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present study was conducted to estimate the genetic variability, heritability and genetic advance in six parental lines and their 56 genotypes derived from five introgressed brassica populations on the basis of morphological and biochemical traits. The experiment was laid out in a randomized complete block design with two replications at The University of Agriculture Peshawar-Pakistan during growing season of 2015-2016. The ANOVA of all traits of F5:6 populations showed highly significant differences (P ≤ 0.01) for all morphological and biochemical traits. Among F5:6 populations, the genotype 2(526) was earlier in flowering (108.65 days), and genotype 14(485) was earlier in maturity (170 days). Tallest plants (182.5 cm), largest main raceme (91.5 cm) and maximum number of pods (80.5) on main raceme were recorded for genotype 17(34). Maximum primary branches plant-1(6.2) and longest pods (10.26 cm) were recorded for genotype 15, while genotype 16(171) had more seeds pod⁻¹ (22) and gave maximum yield plant-1 (30.22 g). The maximum 100-seed weight (0.60 g) was observed for genotype 10(506) while high protein content (22.61%) was recorded for genotype 4(99). Maximum oil content (54.08 %) and low linoleic acid (7.07 %) were produced by genotype (12(138) and low glucosinolate (59.01 µMg⁻¹) was recorded for genotype 21(113). The genotype 27(303) having high oleic acid content (51.73 %) and genotype 1(209) gave low erucic acid (35.97 %). Among the F5:6 populations moderate to high heritability observed for all morphological and biochemical traits coupled with high genetic advance. Cluster analysis grouped the 56 F5:6 populations along their parental lines into seven different groups. Each group was different from the other group on the basis of morphological and biochemical traits. Moreover all the F5:6 populations showed sufficient variability. Genotypes 10(506) and 16(171) were superior for high seed yield⁻¹, 100-seeds weight, and seed pod⁻¹ and are recommended for future breeding program. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Brassicaceae" title="Brassicaceae">Brassicaceae</a>, <a href="https://publications.waset.org/abstracts/search?q=biochemical%20characterization" title=" biochemical characterization"> biochemical characterization</a>, <a href="https://publications.waset.org/abstracts/search?q=introgression" title=" introgression"> introgression</a>, <a href="https://publications.waset.org/abstracts/search?q=morphological%20characterization" title=" morphological characterization"> morphological characterization</a> </p> <a href="https://publications.waset.org/abstracts/81504/genetic-variability-in-advanced-derivatives-of-interspecific-hybrids-in-brassica" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81504.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">180</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4413</span> Correlation of the Biometric Parameters of Eggs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Zenia">S. Zenia</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Menasseria"> A. Menasseria</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20E.%20Kheidous"> A. E. Kheidous</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Lariouna"> F. Lariouna</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Smai"> A. Smai</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Saadi"> H. Saadi</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Haddadj"> F. Haddadj</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Milla"> A. Milla</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Marniche"> F. Marniche</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this study was to estimate the correlation ship between different pheasant external egg quality traits. A total of 938 eggs were collected. Egg weight (g), egg length (mm), egg width (mm), volume (cm3), shape index egg, surface area and water loss were measured. The overall mean values obtained for the different variables are respectively 29.2 ± 2,24, 43.01 ± 1,84, 34.05 ± 1,44, 25.63 ± 2.88 cm3, 79.00 ± 3%, 68% and 13%. Concerning studied regressions, it was considered only the most important regressions. Those that show significant links between the different parameters studied. The ANOVA procedure was applied to estimate correlations for the examined traits. The weights of the eggs being observed before incubation and before hatching are linearly correlated with a positive correlation coefficient of order 0.75. Egg length and the weight before incubation had a good and positive correlation with a coefficient r = 0.6. However, density had high and negative correlations with egg height r = -0.78. Shape index had a good linear and negative r= - 0.71 correlation with water loss. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=correlation" title="correlation">correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=egg" title=" egg"> egg</a>, <a href="https://publications.waset.org/abstracts/search?q=morphometry%20of%20eggs" title=" morphometry of eggs"> morphometry of eggs</a>, <a href="https://publications.waset.org/abstracts/search?q=analysis%20of%20variance" title=" analysis of variance"> analysis of variance</a> </p> <a href="https://publications.waset.org/abstracts/40337/correlation-of-the-biometric-parameters-of-eggs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40337.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">450</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4412</span> The Study of Genetic Diversity in Canola Cultivars of Kashmar-Iran Region</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Habib%20Shojaei">Seyed Habib Shojaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Eivazi"> Reza Eivazi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mir%20Sajad%20Shojaei"> Mir Sajad Shojaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Akbari"> Alireza Akbari</a>, <a href="https://publications.waset.org/abstracts/search?q=Pooria%20Mazloom"> Pooria Mazloom</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyede%20Mitra%20Sadati"> Seyede Mitra Sadati</a>, <a href="https://publications.waset.org/abstracts/search?q=Mir%20Zeinalabedin%20Shojaei"> Mir Zeinalabedin Shojaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Farnaz%20Farbakhsh"> Farnaz Farbakhsh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To study the genetic diversity in rapeseeds and agronomic traits, an experiment was conducted using multivariate statistical methods at Agricultural Research Station of Kashmar in 2012-2013.In this experiment, ten genotypes of rapeseed in a Randomized Complete Block designs with three replications were evaluated. The following traits were studied: seed yield, number of days to the fifty percent of flowering, plant height, number of pods on main stem, length of the pod, seed yield per plant, number of seed in pod, harvest index, weight of 100 seeds, number of pods on lateral branch, number of lateral branches. In analyzing the variance, differences between cultivars were significant. The average comparative revealed that the most valuable variety was Licord regarding to the traits while the least valuable variety was Opera. In stepwise regression, harvest index, grain yield per plant and number of pods per lateral branches were entering to model. Correlation analysis showed that the grain yield with the number of pods per lateral branches and seed yield per plant have positive and significant correlation. In the factor analysis, the first five components explained more than 83% of the variance in the data. In the first factor, seed yield and the number of pods per lateral branches were of the highest importance. The traits, seed yield per plant, and pod per main stem were of a great significance in the second factor. Moreover, in the third factor, plant height and the number of lateral branches were more important. In the fourth factor, plant height and one hundred seeds weight were of the highest variance. Finally, days to fifty percent of flowering and one hundred seeds weight were more important in fifth factor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=rapeseed" title="rapeseed">rapeseed</a>, <a href="https://publications.waset.org/abstracts/search?q=variance%20analysis" title=" variance analysis"> variance analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=regression" title=" regression"> regression</a>, <a href="https://publications.waset.org/abstracts/search?q=factor%20analysis" title=" factor analysis"> factor analysis</a> </p> <a href="https://publications.waset.org/abstracts/80385/the-study-of-genetic-diversity-in-canola-cultivars-of-kashmar-iran-region" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80385.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">257</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4411</span> Effect of Supplementation with Fresh Citrus Pulp on Growth Performance, Slaughter Traits and Mortality in Guinea Pigs </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carlos%20Minguez">Carlos Minguez</a>, <a href="https://publications.waset.org/abstracts/search?q=Christian%20F.%20Sagbay"> Christian F. Sagbay</a>, <a href="https://publications.waset.org/abstracts/search?q=Erika%20E.%20Ordo%C3%B1ez"> Erika E. Ordoñez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Guinea pigs (Cavia porcellus) play prominent roles as experimental models for medical research and as pets. However, in developing countries like South America, the Philippines, and sub-Saharan Africa, the meat of guinea pigs is an economic source of animal protein for the poor and malnourished humans because guinea pigs are mainly fed with forage and do not compete directly with human beings for food resources, such as corn or wheat. To achieve efficient production of guinea pigs, it is essential to provide insurance against vitamin C deficiency. The objective of this research was to investigate the effect of the partial replacement of alfalfa with fresh citrus pulp (Citrus sinensis) in a diet of guinea pigs on the growth performance, slaughter traits and mortality during the fattening period (between 20 and 74 days of age). A total of 300 guinea pigs were housed in collective cages of about ten animals (2 x 1 x 0.4 m) and were distributed into two completely randomized groups. Guinea pigs in both groups were fed ad libitum, with a standard commercial pellet diet (10 MJ of digestible energy/kg, 17% crude protein, 11% crude fiber, and 4.5% crude fat). Control group was supplied with fresh alfalfa as forage. In the treatment group, 30% of alfalfa was replaced by fresh citrus pulp. Growth traits, including body weight (BW), average daily gain (ADG), feed intake (FI), and feed conversion ratio (FCR), were measured weekly. On day 74, the animals were slaughtered, and slaughter traits, including live weight at slaughter (LWS), full gastrointestinal tract weight (FGTW), hot carcass weight (with head; HCW), cold carcass weight (with head; CCW), drip loss percentage (DLP) and dressing out carcass yield percentage (DCY), were evaluated. Contrasts between groups were obtained by calculated generalized least squares values. Mortality was evaluated by Fisher's exact test due to low numbers in some cells. In the first week, there were significant differences in the growth traits BW, ADG, FI, and FCR, which were superior in control group. These differences may have been due to the origin of the young guinea pigs, which, before weaning, were all raised without fresh citrus pulp, and they were not familiarized with the new supplement. In the second week, treatment group had significantly increased ADG compared with control group, which may have been the result of a process of compensatory growth. During subsequent weeks, no significant differences were observed between animals raised in the two groups. Neither were any significant differences observed across the total fattening period. No significant differences in slaughter traits or mortality rate were observed between animals from the two groups. In conclusion, although there were no significant differences in growth performance, slaughter traits, or mortality, the use of fresh citrus pulp is recommended. Fresh citrus pulp is a by-product of orange juice industry and it is cheap or free. Forage made with fresh citrus pulp could reduce about of 30 % the quantity of alfalfa in guinea pig for meat and as consequence, reduce the production costs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fresh%20citrus" title="fresh citrus">fresh citrus</a>, <a href="https://publications.waset.org/abstracts/search?q=growth" title=" growth"> growth</a>, <a href="https://publications.waset.org/abstracts/search?q=Guinea%20pig" title=" Guinea pig"> Guinea pig</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a> </p> <a href="https://publications.waset.org/abstracts/60983/effect-of-supplementation-with-fresh-citrus-pulp-on-growth-performance-slaughter-traits-and-mortality-in-guinea-pigs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60983.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">192</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4410</span> Investigation of Drought Resistance in Iranian Sesamum Germpelasm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fatemeh%20Najafi">Fatemeh Najafi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The major stress factor limiting crop growth and development of sesame (Sesamum indicum L.) is drought stress in arid and semiarid regions of the world. For this study the effects of water stress on some qualitative and quantitative traits in sesame germplasm was conducted in the Research Farm of Seed and Plant Improvement Institute, Karaj, in the crop year. Genotypes in a randomized complete block design with three replications in two environments (moisture stress and normal) were studied in regard of the seed weight, capsule weight, grain yield, biomass, plant height, number of capsules per plant, etc. The characteristics were evaluated based on the combined analysis. Irrigation was based on first class evaporation basin. After flowering stage drought stress was applied. The water deficit reduced growth period. Days to reach full ripening decreased so that the reduction was significant at the five percent level. Drought stress reduces yield and plant biomass. Genotypes based on combined analysis of these two traits were significant at the one percent level. Genotypes differ in terms of yield stress in terms of density plots, grain yield, days to first flowering and days to the half of the cap on the confidence level of five percent and traits of days to emergence of the first capsule and days to reach full ripening at the one percent level were significant. Other traits were not significant. The correlation of traits in circumstances of stress the number of seeds per capsule has the greatest impact on performance. The sensitivity and stress tolerance index was calculated. Based on the indicators, (Fars variety) and variety Karaj were identified as the most tolerant genotypes among the studied genotypes to drought stress. The highest sensitivity indicator of stress was related to genotype (FARS). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sesamum" title="sesamum">sesamum</a>, <a href="https://publications.waset.org/abstracts/search?q=drought" title=" drought"> drought</a>, <a href="https://publications.waset.org/abstracts/search?q=stress" title=" stress"> stress</a>, <a href="https://publications.waset.org/abstracts/search?q=germplasm" title=" germplasm"> germplasm</a>, <a href="https://publications.waset.org/abstracts/search?q=resistance" title=" resistance"> resistance</a> </p> <a href="https://publications.waset.org/abstracts/171841/investigation-of-drought-resistance-in-iranian-sesamum-germpelasm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171841.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">72</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4409</span> Effect of Three Sand Types on Potato Vegetative Growth and Yield</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shatha%20A.%20Yousif">Shatha A. Yousif</a>, <a href="https://publications.waset.org/abstracts/search?q=Qasim%20M.%20Zamil"> Qasim M. Zamil</a>, <a href="https://publications.waset.org/abstracts/search?q=Hasan%20Y.%20Al%20Muhi"> Hasan Y. Al Muhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Jamal%20A.%20Al%20Shammari"> Jamal A. Al Shammari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Potato (Solanum tuberosum L.) is one of the major vegetable crops that are grown world wide because of its economic importance. This experiment investigated the effect of local sands (River Base, Al-Ekader and Karbala) on number and total weight of mini tubers. Statistical analysis revealed that there were no significant differences among sand cultures in number of stem/plant, chlorophyll index and tubers dry weight. River Base sand had the highest plant height (74.9 cm), leaf number/plant number (39.3), leaf area (84.4 dcm2⁄plant), dry weight/plant (26.31), tubers number/plant (8.5), tubers weight/plant (635.53 gm) and potato tuber yields/trove (28.60 kg), whereas the Karbala sand had lower performance. All the characters had positive and significant correlation with yields except the traits number of stem and tuber dry weight. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=correlation" title="correlation">correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=potato" title=" potato"> potato</a>, <a href="https://publications.waset.org/abstracts/search?q=sand%20culture" title=" sand culture"> sand culture</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a> </p> <a href="https://publications.waset.org/abstracts/25112/effect-of-three-sand-types-on-potato-vegetative-growth-and-yield" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25112.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">476</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4408</span> Primary and Secondary Psychopathic Traits: Assessing Differences in Interpersonal Relationships through Friendship, Emotional Contagion, and Social Rewards</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Silene%20Ten%20Seldam">Silene Ten Seldam</a>, <a href="https://publications.waset.org/abstracts/search?q=Kiara%20Margarita%20Lu"> Kiara Margarita Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=Melina%20Nicole%20Kyranides"> Melina Nicole Kyranides</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Psychopathic traits are marked by a lack of empathy and an inability to maintain meaningful relationships. Yet little research has investigated differences in interpersonal relationships between primary and secondary psychopathic traits. Emotional contagion, the tendency to automatically mimic others’ facial expressions and movements, is a type of empathy contributing to relationship quality. Additionally, the motivating and pleasurable aspects of social interaction, social reward is integral to understanding relationships. Therefore, the current research investigated interpersonal relationships through relationship status, the quality of friendships, the susceptibility to positive (happiness, love) and negative (sadness, fear, anger) emotional contagion, and social reward. Recruited online, 389 participants between 18 and 76 years old (M = 33.61; of which 241 were female) completed self-report questionnaires assessing primary and secondary psychopathic traits, friendship, emotional contagion, and social rewards. Hierarchical multiple regression showed relationship status as a protective factor and that individuals with secondary psychopathic traits are less likely to be in a relationship. This study is the first to investigate emotional contagion with primary and secondary psychopathic traits. Emotional contagion for sadness predicted secondary psychopathic traits. Negative social potency (enjoying being cruel and antagonistic to others) predicted both primary and secondary traits. However, admiration and prosocial interactions only predicted primary psychopathic traits. Findings infer differences in maintaining relationships, regulating emotions, empathising with others through emotional contagion, and motivation to socially engage, perhaps due to each dimensions’distinct origins and manifestations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=primary%20psychopathic%20traits" title="primary psychopathic traits">primary psychopathic traits</a>, <a href="https://publications.waset.org/abstracts/search?q=secondary%20psychopathic%20traits" title=" secondary psychopathic traits"> secondary psychopathic traits</a>, <a href="https://publications.waset.org/abstracts/search?q=interpersonal%20relationships" title=" interpersonal relationships"> interpersonal relationships</a>, <a href="https://publications.waset.org/abstracts/search?q=friendship" title=" friendship"> friendship</a>, <a href="https://publications.waset.org/abstracts/search?q=emotional%20contagion" title=" emotional contagion"> emotional contagion</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20reward" title=" social reward"> social reward</a> </p> <a href="https://publications.waset.org/abstracts/149434/primary-and-secondary-psychopathic-traits-assessing-differences-in-interpersonal-relationships-through-friendship-emotional-contagion-and-social-rewards" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149434.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">122</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4407</span> Determination of Genetic Markers, Microsatellites Type, Liked to Milk Production Traits in Goats</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Fawzy%20Elzarei">Mohamed Fawzy Elzarei</a>, <a href="https://publications.waset.org/abstracts/search?q=Yousef%20Mohammed%20Al-Dakheel"> Yousef Mohammed Al-Dakheel</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Mohamed%20Alseaf"> Ali Mohamed Alseaf</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modern molecular techniques, like single marker analysis for linked traits to these markers, can provide us with rapid and accurate genetic results. In the last two decades of the last century, the applications of molecular techniques were reached a faraway point in cattle, sheep, and pig. In goats, especially in our region, the application of molecular techniques is still far from other species. As reported by many researchers, microsatellites marker is one of the suitable markers for lie studies. The single marker linked to traits of interest is one technique allowed us to early select animals without the necessity for mapping the entire genome. Simplicity, applicability, and low cost of this technique gave this technique a wide range of applications in many areas of genetics and molecular biology. Also, this technique provides a useful approach for evaluating genetic differentiation, particularly in populations that are poorly known genetically. The expected breeding value (EBV) and yield deviation (YD) are considered as the most parameters used for studying the linkage between quantitative characteristics and molecular markers, since these values are raw data corrected for the non-genetic factors. A total of 17 microsatellites markers (from chromosomes 6, 14, 18, 20 and 23) were used in this study to search for areas that could be responsible for genetic variability for some milk traits and search of chromosomal regions that explain part of the phenotypic variance. Results of single-marker analyses were used to identify the linkage between microsatellite markers and variation in EBVs of these traits, Milk yield, Protein percentage, Fat percentage, Litter size and weight at birth, and litter size and weight at weaning. The estimates of the parameters from forward and backward solutions using stepwise regression procedure on milk yield trait, only two markers, OARCP9 and AGLA29, showed a highly significant effect (p≤0.01) in backward and forward solutions. The forward solution for different equations conducted that R2 of these equations were highly depending on only two partials regressions coefficient (βi,) for these markers. For the milk protein trait, four marker showed significant effect BMS2361, CSSM66 (p≤0.01), BMS2626, and OARCP9 (p≤0.05). By the other way, four markers (MCM147, BM1225, INRA006, andINRA133) showed highly significant effect (p≤0.01) in both backward and forward solutions in association with milk fat trait. For both litter size at birth and at weaning traits, only one marker (BM143(p≤0.01) and RJH1 (p≤0.05), respectively) showed a significant effect in backward and forward solutions. The estimates of the parameters from forward and backward solution using stepwise regression procedure on litter weight at birth (LWB) trait only one marker (MCM147) showed highly significant effect (p≤0.01) and two marker (ILSTS011, CSSM66) showed a significant effect (p≤0.05) in backward and forward solutions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microsatellites%20marker" title="microsatellites marker">microsatellites marker</a>, <a href="https://publications.waset.org/abstracts/search?q=estimated%20breeding%20value" title=" estimated breeding value"> estimated breeding value</a>, <a href="https://publications.waset.org/abstracts/search?q=stepwise%20regression" title=" stepwise regression"> stepwise regression</a>, <a href="https://publications.waset.org/abstracts/search?q=milk%20traits" title=" milk traits"> milk traits</a> </p> <a href="https://publications.waset.org/abstracts/164814/determination-of-genetic-markers-microsatellites-type-liked-to-milk-production-traits-in-goats" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164814.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">93</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=weight%20traits&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=weight%20traits&page=3">3</a></li> <li class="page-item"><a class="page-link" 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