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analysis</title> <meta name="description" content="Search results for: genetic analysis"> <meta name="keywords" content="genetic analysis"> <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 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action="https://publications.waset.org/abstracts/search"> <div 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="genetic analysis"> <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> 28840</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: genetic analysis</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">28840</span> Level of Awareness of Genetic Counselling in Benue State Nigeria: Its Advocacy on the Inheritance of Sickle Cell Disease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Agi%20Sunday">Agi Sunday</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A descriptive analysis of reported cases of sickle cell disease and the level of awareness about genetic counselling in 30 hospitals were carried out. Additionally, 150 individuals between ages 16-45 were randomly selected for evaluation of genetic counselling awareness. The main tools for this study were questionnaires which were taken to hospitals, and individuals completed the others. The numbers of reported cases of sickle cell disease recorded in private, public and teaching hospitals were 14 and 57; 143 and 89; 272 and 57 for the periods of 1995-2000 and 2001-2005, respectively. A general informal genetic counselling took place mostly in the hospitals visited. 122 (86%) individuals had the knowledge of genetic disease and only 43 (30.3%) individuals have been exposed to genetic counselling. 64% of individuals agreed that genetic counselling would help in the prevention of genetic disease. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sickle%20disease" title="sickle disease">sickle disease</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20counseling" title=" genetic counseling"> genetic counseling</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20testing" title=" genetic testing"> genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=advocacy" title=" advocacy"> advocacy</a> </p> <a href="https://publications.waset.org/abstracts/8810/level-of-awareness-of-genetic-counselling-in-benue-state-nigeria-its-advocacy-on-the-inheritance-of-sickle-cell-disease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8810.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">389</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">28839</span> Genetic Variation of Shvicezebuvides Cattle in Tajikistan Based on Microsatellite Markers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Norezzine%20Abdelaziz">Norezzine Abdelaziz</a>, <a href="https://publications.waset.org/abstracts/search?q=Rebouh%20Nazih%20Yacer"> Rebouh Nazih Yacer</a>, <a href="https://publications.waset.org/abstracts/search?q=Kezimana%20Parfait"> Kezimana Parfait</a>, <a href="https://publications.waset.org/abstracts/search?q=Parpura%20D.%20I."> Parpura D. I.</a>, <a href="https://publications.waset.org/abstracts/search?q=Gadzhikurbanov%20A."> Gadzhikurbanov A.</a>, <a href="https://publications.waset.org/abstracts/search?q=Anastasios%20Dranidis"> Anastasios Dranidis </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The genetic variation of Shvicezebuvides cattle from three different farms in the Tajikistan Republic was studied using 10 microsatellite markers (SSR). The trials were laid out using a multi- locus analysis system for the analysis of cattle microsatellite locus. An estimated genetic variability of the examined livestock is given in the article. The results of our SSR analysis as well as the numbers and frequencies of common alleles in studied samples, we established a high genetic similarity of studied samples. These results can also be furthermore useful in the decision making for preservation and rational genetic resources usage of the Tajik Shvicezebuvides cattle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetic%20characteristic" title="genetic characteristic">genetic characteristic</a>, <a href="https://publications.waset.org/abstracts/search?q=frequencies%20of%20the%20occurrence%20alleles" title=" frequencies of the occurrence alleles"> frequencies of the occurrence alleles</a>, <a href="https://publications.waset.org/abstracts/search?q=microsatellite%20markers" title=" microsatellite markers"> microsatellite markers</a>, <a href="https://publications.waset.org/abstracts/search?q=Swiss%20cattle" title=" Swiss cattle"> Swiss cattle</a> </p> <a href="https://publications.waset.org/abstracts/83760/genetic-variation-of-shvicezebuvides-cattle-in-tajikistan-based-on-microsatellite-markers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83760.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">302</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">28838</span> A Survey of Grammar-Based Genetic Programming and Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matthew%20T.%20Wilson">Matthew T. Wilson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper covers a selection of research utilizing grammar-based genetic programming, and illustrates how context-free grammar can be used to constrain genetic programming. It focuses heavily on grammatical evolution, one of the most popular variants of grammar-based genetic programming, and the way its operators and terminals are specialized and modified from those in genetic programming. A variety of implementations of grammatical evolution for general use are covered, as well as research each focused on using grammatical evolution or grammar-based genetic programming on a single application, or to solve a specific problem, including some of the classically considered genetic programming problems, such as the Santa Fe Trail. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=context-free%20grammar" title="context-free grammar">context-free grammar</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithms" title=" genetic algorithms"> genetic algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20programming" title=" genetic programming"> genetic programming</a>, <a href="https://publications.waset.org/abstracts/search?q=grammatical%20evolution" title=" grammatical evolution"> grammatical evolution</a> </p> <a href="https://publications.waset.org/abstracts/120249/a-survey-of-grammar-based-genetic-programming-and-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120249.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">187</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">28837</span> Genetic Diversity Analysis in Triticum Aestivum Using Microsatellite Markers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prachi%20Sharma">Prachi Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=Mukesh%20Kumar%20Rana"> Mukesh Kumar Rana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study, the simple sequence repeat(SSR) markers have been used in analysis of genetic diversity of 37 genotypes of Triticum aestivum. The DNA was extracted using cTAB method. The DNA was quantified using the fluorimeter. The annealing temperatures for 27 primer pairs were standardized using gradient PCR, out of which 16 primers gave satisfactory amplification at temperature ranging from 50-62⁰ C. Out of 16 polymorphic SSR markers only 10 SSR primer pairs were used in the study generating 34 reproducible amplicons among 37 genotypes out of which 30 were polymorphic. Primer pairs Xgwm533, Xgwm 160, Xgwm 408, Xgwm 120, Xgwm 186, Xgwm 261 produced maximum percent of polymorphic bands (100%). The bands ranged on an average of 3.4 bands per primer. The genetic relationship was determined using Jaccard pair wise similarity co-efficient and UPGMA cluster analysis with NTSYS Pc.2 software. The values of similarity index range from 0-1. The similarity coefficient ranged from 0.13 to 0.97. A minimum genetic similarity (0.13) was observed between VL 804 and HPW 288, meaning they are only 13% similar. More number of available SSR markers can be useful for supporting the genetic diversity analysis in the above wheat genotypes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wheat" title="wheat">wheat</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=microsatellite" title=" microsatellite"> microsatellite</a>, <a href="https://publications.waset.org/abstracts/search?q=polymorphism" title=" polymorphism"> polymorphism</a> </p> <a href="https://publications.waset.org/abstracts/27365/genetic-diversity-analysis-in-triticum-aestivum-using-microsatellite-markers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27365.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">614</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">28836</span> The Legal Regulation of Direct-to-Consumer Genetic Testing In South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amy%20Gooden">Amy Gooden</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Despite its prevalence, direct-to-consumer genetic testing (DTC-GT) remains under-investigated in South Africa (SA), and the issue of regulation is yet to be examined. Therefore, this research maps the current legal landscape relating to DTC-GT in SA through a legal analysis of the extant law relevant to the industry and the issues associated therewith – with the intention of determining if and how DTC-GT is legally governed. This research analyses: whether consumers are legally permitted to collect their saliva; whether DTC-GT are medical devices; licensing, registering, and advertising; importing and exporting; and genetic research conducted by companies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=direct-to-consumer%20genetic%20testing" title="direct-to-consumer genetic testing">direct-to-consumer genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20testing" title=" genetic testing"> genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=health" title=" health"> health</a>, <a href="https://publications.waset.org/abstracts/search?q=law" title=" law"> law</a>, <a href="https://publications.waset.org/abstracts/search?q=regulation" title=" regulation"> regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a> </p> <a href="https://publications.waset.org/abstracts/153430/the-legal-regulation-of-direct-to-consumer-genetic-testing-in-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153430.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">139</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">28835</span> Factors Determining Intention to Pursue Genetic Testing for People in Taiwan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ju-Chun%20Chien">Ju-Chun Chien</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Ottawa Charter for Health Promotion proposed that the role of health services should shift the focus from cure to prevention. Nowadays, besides having physical examinations, people could also conduct genetic tests to provide important information for diagnosing, treating, and/or preventing illnesses. However, because of the incompletion of the Chinese Genetic Database, people in Taiwan were still unfamiliar with genetic testing. The purposes of the present study were to: (1) Figure out people’s attitudes towards genetic testing. (2) Examine factors that influence people’s intention to pursue genetic testing by means of the Health Belief Model (HBM). A pilot study was conducted on 249 Taiwanese in 2017 to test the feasibility of the self-developed instrument. The reliability and construct validity of scores on the self-developed questionnaire revealed that this HBM-based questionnaire with 40 items was a well-developed instrument. A total of 542 participants were recruited and the valid participants were 535 (99%) between the ages of 20 and 86. Descriptive statistics, one-way ANOVA, two-way contingency table analysis, Pearson’s correlation, and stepwise multiple regression analysis were used in this study. The main results were that only 32 participants (6%) had already undergone genetic testing; moreover, their attitude towards genetic testing was more positive than those who did not have the experience. Compared with people who never underwent genetic tests, those who had gone for genetic testing had higher self-efficacy, greater intention to pursue genetic testing, had academic majors in health-related fields, had chronic and genetic diseases, possessed Catastrophic Illness Cards, and all of them had heard about genetic testing. The variables that best predicted people’s intention to pursue genetic testing were cues to action, self-efficacy, and perceived benefits (the three variables all correlated with one another positively at high magnitudes). To sum up, the HBM could be effective in designing and identifying the needs and priorities of the target population to pursue genetic testing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetic%20testing" title="genetic testing">genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20of%20GT" title=" knowledge of GT"> knowledge of GT</a>, <a href="https://publications.waset.org/abstracts/search?q=people%20in%20Taiwan" title=" people in Taiwan"> people in Taiwan</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20health%20belief%20model" title=" the health belief model"> the health belief model</a> </p> <a href="https://publications.waset.org/abstracts/91788/factors-determining-intention-to-pursue-genetic-testing-for-people-in-taiwan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91788.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">308</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">28834</span> Landscape Genetic and Species Distribution Modeling of Date Palm (Phoenix dactylifera L.)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Masoud%20Sheidaei">Masoud Sheidaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Fahimeh%20Koohdar"> Fahimeh Koohdar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Date palms are economically important tree plants with high nutrition and medicinal values. More than 400 date palm cultivars are cultivated in many regions of Iran, but no report is available on landscape genetics and species distribution modeling of these trees from the country. Therefore, the present study provides a detailed insight into the genetic diversity and structure of date palm populations in Iran and investigates the effects of geographical and climatic variables on the structuring of genetic diversity in them. We used different computational methods in the study like, spatial principal components analysis (sPCA), redundancy analysis (RDA), latent factor mixed model (LFMM), and Maxent and Dismo models of species distribution modeling. We used a combination of different molecular markers for this study. The results showed that both global and local spatial features play an important role in the genetic structuring of date palms, and the genetic regions associated with local adaptation and climatic variables were identified. The effects of climatic change on the distribution of these taxa and the genetic regions adaptive to these changes will be discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20genetic%20regions" title="adaptive genetic regions">adaptive genetic regions</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=isolation%20by%20distance" title=" isolation by distance"> isolation by distance</a>, <a href="https://publications.waset.org/abstracts/search?q=populations%20divergence" title=" populations divergence"> populations divergence</a> </p> <a href="https://publications.waset.org/abstracts/166909/landscape-genetic-and-species-distribution-modeling-of-date-palm-phoenix-dactylifera-l" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166909.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">109</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">28833</span> Genetic Diversity Based Population Study of Freshwater Mud Eel (Monopterus cuchia) in Bangladesh</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20F.%20Miah">M. F. Miah</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20M.%20A.%20Zinnah"> K. M. A. Zinnah</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20J.%20Raihan"> M. J. Raihan</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Ali"> H. Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20N.%20Naser"> M. N. Naser</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As genetic diversity is most important for existing, breeding and production of any fish; this study was undertaken for investigating genetic diversity of freshwater mud eel, <em>Monopterus cuchia</em> at population level where three ecological populations such as flooded area of Sylhet (P1), open water of Moulvibazar (P2) and open water of Sunamganj (P3) districts of Bangladesh were considered. Four arbitrary RAPD primers (OPB-12, C0-4, B-03 and OPB-08) were screened and RAPD banding patterns were analyzed among the populations considering 15 individuals of each population. In total 174, 138 and 149 bands were detected in the populations of P1, P2 and P3 respectively; however, each primer revealed less number of bands in each population. 100% polymorphic loci were recorded in P2 and P3 whereas only one monomorphic locus was observed in P1, recorded 97.5% polymorphism. Different genetic parameters such as inter-individual pairwise similarity, genetic distance, Nei genetic similarity, linkage distances, cluster analysis and allelic information, etc. were considered for measuring genetic diversity. The average inter-individual pairwise similarity was recorded 2.98, 1.47 and 1.35 in P1, P2 and P3 respectively. Considering genetic distance analysis, the highest distance 1 was recorded in P2 and P3 and the lowest genetic distance 0.444 was found in P2. The average Nei genetic similarity was observed 0.19, 0.16 and 0.13 in P1, P2 and P3, respectively; however, the average linkage distance was recorded 24.92, 17.14 and 15.28 in P1, P3 and P2 respectively. Based on linkage distance, genetic clusters were generated in three populations where 6 clades and 7 clusters were found in P1, 3 clades and 5 clusters were observed in P2 and 4 clades and 7 clusters were detected in P3. In addition, allelic information was observed where the frequency of p and q alleles were observed 0.093 and 0.907 in P1, 0.076 and 0.924 in P2, 0.074 and 0.926 in P3 respectively. The average gene diversity was observed highest in P2 (0.132) followed by P3 (0.131) and P1 (0.121) respectively. <p class="card-text"><strong>Keywords:</strong> <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=Monopterus%20cuchia" title=" Monopterus cuchia"> Monopterus cuchia</a>, <a href="https://publications.waset.org/abstracts/search?q=population" title=" population"> population</a>, <a href="https://publications.waset.org/abstracts/search?q=RAPD" title=" RAPD"> RAPD</a>, <a href="https://publications.waset.org/abstracts/search?q=Bangladesh" title=" Bangladesh"> Bangladesh</a> </p> <a href="https://publications.waset.org/abstracts/45221/genetic-diversity-based-population-study-of-freshwater-mud-eel-monopterus-cuchia-in-bangladesh" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45221.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">505</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">28832</span> Genetic Testing and Research in South Africa: The Sharing of Data Across Borders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amy%20Gooden">Amy Gooden</a>, <a href="https://publications.waset.org/abstracts/search?q=Meshandren%20Naidoo"> Meshandren Naidoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Genetic research is not confined to a particular jurisdiction. Using direct-to-consumer genetic testing (DTC-GT) as an example, this research assesses the status of data sharing into and out of South Africa (SA). While SA laws cover the sending of genetic data out of SA, prohibiting such transfer unless a legal ground exists, the position where genetic data comes into the country depends on the laws of the country from where it is sent – making the legal position less clear. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cross-border" title="cross-border">cross-border</a>, <a href="https://publications.waset.org/abstracts/search?q=data" title=" data"> data</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20testing" title=" genetic testing"> genetic testing</a>, <a href="https://publications.waset.org/abstracts/search?q=law" title=" law"> law</a>, <a href="https://publications.waset.org/abstracts/search?q=regulation" title=" regulation"> regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=research" title=" research"> research</a>, <a href="https://publications.waset.org/abstracts/search?q=sharing" title=" sharing"> sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a> </p> <a href="https://publications.waset.org/abstracts/153426/genetic-testing-and-research-in-south-africa-the-sharing-of-data-across-borders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153426.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">161</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">28831</span> A Review Paper on Data Mining and Genetic Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sikander%20Singh%20Cheema">Sikander Singh Cheema</a>, <a href="https://publications.waset.org/abstracts/search?q=Jasmeen%20Kaur"> Jasmeen Kaur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the concept of data mining is summarized and its one of the important process i.e KDD is summarized. The data mining based on Genetic Algorithm is researched in and ways to achieve the data mining Genetic Algorithm are surveyed. This paper also conducts a formal review on the area of data mining tasks and genetic algorithm in various fields. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=KDD" title=" KDD"> KDD</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=descriptive%20mining" title=" descriptive mining"> descriptive mining</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20mining" title=" predictive mining"> predictive mining</a> </p> <a href="https://publications.waset.org/abstracts/43637/a-review-paper-on-data-mining-and-genetic-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43637.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">591</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">28830</span> Sensitivity Analysis during the Optimization Process Using Genetic Algorithms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Rubio">M. A. Rubio</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Urquia"> A. Urquia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Genetic algorithms (GA) are applied to the solution of high-dimensional optimization problems. Additionally, sensitivity analysis (SA) is usually carried out to determine the effect on optimal solutions of changes in parameter values of the objective function. These two analyses (i.e., optimization and sensitivity analysis) are computationally intensive when applied to high-dimensional functions. The approach presented in this paper consists in performing the SA during the GA execution, by statistically analyzing the data obtained of running the GA. The advantage is that in this case SA does not involve making additional evaluations of the objective function and, consequently, this proposed approach requires less computational effort than conducting optimization and SA in two consecutive steps. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optimization" title="optimization">optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=sensitivity" title=" sensitivity"> sensitivity</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithms" title=" genetic algorithms"> genetic algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20calibration" title=" model calibration"> model calibration</a> </p> <a href="https://publications.waset.org/abstracts/62152/sensitivity-analysis-during-the-optimization-process-using-genetic-algorithms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62152.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">436</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">28829</span> Development of Microsatellite Markers for Genetic Variation Analysis in House Cricket, Acheta domesticus</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yash%20M.%20Gupta">Yash M. Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Kittisak%20Buddhachat"> Kittisak Buddhachat</a>, <a href="https://publications.waset.org/abstracts/search?q=Surin%20Peyachoknagul"> Surin Peyachoknagul</a>, <a href="https://publications.waset.org/abstracts/search?q=Somjit%20Homchan"> Somjit Homchan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The house cricket, Acheta domesticus is one of the commonly found species of field crickets. Although it is very commonly used as food and feed, the genomic information of house cricket is still missing for genetic investigation. DNA sequencing technology has evolved over the decades, and it has also revolutionized the molecular marker development for genetic analysis. In the present study, we have sequenced the whole genome of A. domesticus using illumina platform based HiSeq X Ten sequencing technology for searching simple sequence repeats (SSRs) in DNA to develop polymorphic microsatellite markers for population genetic analysis. A total of 112,157 SSRs with primer pairs were identified, 91 randomly selected SSRs used to check DNA amplification, of which nine primers were polymorphic. These microsatellite markers have shown cross-amplification with other three species of crickets which are Gryllus bimaculatus, Gryllus testaceus and Brachytrupes portentosus. These nine polymorphic microsatellite markers were used to check genetic variation for forty-five individuals of A. domesticus, Phitsanulok population, Thailand. For nine loci, the number of alleles was ranging from 5 to 15. The observed heterozygosity was ranged from 0.4091 to 0.7556. These microsatellite markers will facilitate population genetic analysis for future studies of A. domesticus populations. Moreover, the transferability of these SSR makers would also enable researchers to conduct genetic studies for other closely related species. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cross-amplification" title="cross-amplification">cross-amplification</a>, <a href="https://publications.waset.org/abstracts/search?q=microsatellite%20markers" title=" microsatellite markers"> microsatellite markers</a>, <a href="https://publications.waset.org/abstracts/search?q=observed%20heterozygosity" title=" observed heterozygosity"> observed heterozygosity</a>, <a href="https://publications.waset.org/abstracts/search?q=population%20genetic" title=" population genetic"> population genetic</a>, <a href="https://publications.waset.org/abstracts/search?q=simple%20sequence%20repeats" title=" simple sequence repeats"> simple sequence repeats</a> </p> <a href="https://publications.waset.org/abstracts/109733/development-of-microsatellite-markers-for-genetic-variation-analysis-in-house-cricket-acheta-domesticus" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109733.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">142</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">28828</span> Hardware for Genetic Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fariborz%20Ahmadi">Fariborz Ahmadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Tati"> Reza Tati</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Genetic algorithm is a soft computing method that works on set of solutions. These solutions are called chromosome and the best one is the absolute solution of the problem. The main problem of this algorithm is that after passing through some generations, it may be produced some chromosomes that had been produced in some generations ago that causes reducing the convergence speed. From another respective, most of the genetic algorithms are implemented in software and less works have been done on hardware implementation. Our work implements genetic algorithm in hardware that doesn’t produce chromosome that have been produced in previous generations. In this work, most of genetic operators are implemented without producing iterative chromosomes and genetic diversity is preserved. Genetic diversity causes that not only do not this algorithm converge to local optimum but also reaching to global optimum. Without any doubts, proposed approach is so faster than software implementations. Evaluation results also show the proposed approach is faster than hardware ones. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hardware" title="hardware">hardware</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20science" title=" computer science"> computer science</a>, <a href="https://publications.waset.org/abstracts/search?q=engineering" title=" engineering"> engineering</a> </p> <a href="https://publications.waset.org/abstracts/5598/hardware-for-genetic-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5598.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">506</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">28827</span> Enhancement of Genetic Diversity through Cross Breeding of Two Catfish (Heteropneustes fossilis and Clarias batrachus) in Bangladesh</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20F.%20Miah">M. F. Miah</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Chakrabarty"> A. Chakrabarty</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Two popular and highly valued fish, Stinging catfish (Heteropneustes fossilis) and Asian catfish (Clarias batrachus) are considered for observing genetic enhancement. Cross breeding was performed considering wild and farmed fish through inducing agent. Five RAPD markers were used to assess genetic diversity among parents and offspring of these two catfish for evaluating genetic enhancement in F1 generation. Considering different genetic data such as banding pattern of DNA, polymorphic loci, polymorphic information content (PIC), inter individual pair wise similarity, Nei genetic similarity, genetic distance, phylogenetic relationships, allele frequency, genotype frequency, intra locus gene diversity and average gene diversity of parents and offspring of these two fish were analyzed and finally in both cases higher genetic diversity was found in F1 generation than the parents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Heteropneustes%20fossilis" title="Heteropneustes fossilis">Heteropneustes fossilis</a>, <a href="https://publications.waset.org/abstracts/search?q=Clarias%20batrachus" title=" Clarias batrachus"> Clarias batrachus</a>, <a href="https://publications.waset.org/abstracts/search?q=cross%20breeding" title=" cross breeding"> cross breeding</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20enhancement" title=" genetic enhancement"> genetic enhancement</a> </p> <a href="https://publications.waset.org/abstracts/82616/enhancement-of-genetic-diversity-through-cross-breeding-of-two-catfish-heteropneustes-fossilis-and-clarias-batrachus-in-bangladesh" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82616.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">252</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">28826</span> RAPD Analysis of Genetic Diversity of Castor Bean</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Vivod%C3%ADk">M. Vivodík</a>, <a href="https://publications.waset.org/abstracts/search?q=%C5%BD.%20Bal%C3%A1%C5%BEov%C3%A1"> Ž. Balážová</a>, <a href="https://publications.waset.org/abstracts/search?q=Z.%20G%C3%A1lov%C3%A1"> Z. Gálová</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this work was to detect genetic variability among the set of 40 castor genotypes using 8 RAPD markers. Amplification of genomic DNA of 40 genotypes, using RAPD analysis, yielded in 66 fragments, with an average of 8.25 polymorphic fragments per primer. Number of amplified fragments ranged from 3 to 13, with the size of amplicons ranging from 100 to 1200 bp. Values of the polymorphic information content (PIC) value ranged from 0.556 to 0.895 with an average of 0.784 and diversity index (DI) value ranged from 0.621 to 0.896 with an average of 0.798. The dendrogram based on hierarchical cluster analysis using UPGMA algorithm was prepared and analyzed genotypes were grouped into two main clusters and only two genotypes could not be distinguished. Knowledge on the genetic diversity of castor can be used for future breeding programs for increased oil production for industrial uses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dendrogram" title="dendrogram">dendrogram</a>, <a href="https://publications.waset.org/abstracts/search?q=polymorphism" title=" polymorphism"> polymorphism</a>, <a href="https://publications.waset.org/abstracts/search?q=RAPD%20technique" title=" RAPD technique"> RAPD technique</a>, <a href="https://publications.waset.org/abstracts/search?q=Ricinus%20communis%20L." title=" Ricinus communis L."> Ricinus communis L.</a> </p> <a href="https://publications.waset.org/abstracts/6531/rapd-analysis-of-genetic-diversity-of-castor-bean" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6531.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">471</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">28825</span> Genomic Diversity of Clostridium perfringens Strains in Food and Human Sources</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asma%20Afshari">Asma Afshari</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdollah%20Jamshidi"> Abdollah Jamshidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Jamshid%20Razmyar"> Jamshid Razmyar</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehrnaz%20Rad"> Mehrnaz Rad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Clostridium perfringens is a serious pathogen which causes enteric diseases in domestic animals and food poisoning in humans. Spores can survive cooking processes and play an important role in the possible onset of disease. In this study RAPD-PCR and REP-PCR were used to examine the genetic diversity of 49isolates ofC. Perfringens type A from 3 different sources. The results of RAPD-PCR revealed the most genetic diversity among poultry isolates, while human isolates showed the least genetic diversity. Cluster analysis obtained from RAPD_PCR and based on the genetic distances split the 49 strains into five distinct major clusters (A, B, C, D, and E). Cluster A and C were composed of isolates from poultry meat, cluster B was composed of isolates from human feces, cluster D was composed of isolates from minced meat, poultry meat and human feces and cluster E was composed of isolates from minced meat. Further characterization of these strains by using (GTG) 5 fingerprint repetitive sequence-based PCR analysis did not show further differentiation between various types of strains. To our knowledge, this is the first study in which the genetic diversity of C. perfringens isolates from different types of meats and human feces has been investigated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20perfringens" title="C. perfringens">C. perfringens</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=RAPD-PCR" title=" RAPD-PCR"> RAPD-PCR</a>, <a href="https://publications.waset.org/abstracts/search?q=REP-PCR" title=" REP-PCR"> REP-PCR</a> </p> <a href="https://publications.waset.org/abstracts/35846/genomic-diversity-of-clostridium-perfringens-strains-in-food-and-human-sources" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35846.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">492</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">28824</span> Optimization of Steel Moment Frame Structures Using Genetic Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Befkin">Mohammad Befkin</a>, <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Momtaz"> Alireza Momtaz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Structural design is the challenging aspect of every project due to limitations in dimensions, functionality of the structure, and more importantly, the allocated budget for construction. This research study aims to investigate the optimized design for three steel moment frame buildings with different number of stories using genetic algorithm code. The number and length of spans, and height of each floor were constant in all three buildings. The design of structures are carried out according to AISC code within the provisions of plastic design with allowable stress values. Genetic code for optimization is produced using MATLAB program, while buildings modeled in Opensees program and connected to the MATLAB code to perform iterations in optimization steps. In the end designs resulted from genetic algorithm code were compared with the analysis of buildings in ETABS program. The results demonstrated that suggested structural elements by the code utilize their full capacity, indicating the desirable efficiency of produced code. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title="genetic algorithm">genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20analysis" title=" structural analysis"> structural analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=steel%20moment%20frame" title=" steel moment frame"> steel moment frame</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20design" title=" structural design"> structural design</a> </p> <a href="https://publications.waset.org/abstracts/166927/optimization-of-steel-moment-frame-structures-using-genetic-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166927.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">118</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">28823</span> Assessment of Genetic Diversity of Iranian Purslane (Portulaca Oleracea L.) Accessions Using ISSR Makers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Mohebodini">Mehdi Mohebodini</a>, <a href="https://publications.waset.org/abstracts/search?q=Iman%20Khalili-Baseri"> Iman Khalili-Baseri</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Behnamian"> Mehdi Behnamian</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Dezhsetan"> Sara Dezhsetan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Diversity analysis at the molecular level using PCR-based markers is the efficient and rapid method of identifying the relationships and differences among the genotypes. In the present study, genetic diversity and relationships among 20 collected purslane accessions were evaluated using ISSR markers. The genotyping data were used to understand the relationships among the collected accessions and identify genetically diverse purslane accessions. The 25 primers gave a total of 92 bands, of which 62 were polymorphic (67.4%). The genetic diversity as estimated by Shannon’s information index was 0.55, revealing a quite high level of genetic diversity in the germplasm. The average number of an observed allele, effective allele, polymorphic information content (PIC) and Nei’s index were 2, 1.65, 0.37 and 0.37, respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Portulaca%20oleracea%20L." title="Portulaca oleracea L.">Portulaca oleracea L.</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=ISSR" title=" ISSR"> ISSR</a>, <a href="https://publications.waset.org/abstracts/search?q=germplasm" title=" germplasm"> germplasm</a> </p> <a href="https://publications.waset.org/abstracts/63005/assessment-of-genetic-diversity-of-iranian-purslane-portulaca-oleracea-l-accessions-using-issr-makers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63005.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">451</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">28822</span> Resequencing and Genomic Study of Wild Coffea Arabica Unveils Genetic Groups at Its Origin and Their Geographic Distribution</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zate%20Zewdneh%20Zana">Zate Zewdneh Zana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Coffea arabica (Arabica coffee), a cornerstone of the global beverage industry, necessitates rigorous genetic conservation due to its economic significance and genetic complexity. In this study, we performed whole-genome resequencing of wild species collected from its birthplace, Ethiopia. Advanced Illumina sequencing technology facilitated the mapping of a high percentage of clean reads to the C. arabica reference genome, revealing a substantial number of genetic variants, predominantly SNPs. Our comprehensive analysis not only uncovered a notable distribution of genomic variants across the coffee genome but also identified distinct genetic groups through phylogenetic and population structure analyses. This genomic study provides invaluable insights into the genetic diversity of C. arabica, highlighting the potential of identified SNPs and InDels in enhancing our understanding of key agronomic traits. The findings contribute significantly to genetic studies and support strategic breeding and conservation efforts essential for sustaining the global coffee industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=population%20genetics" title="population genetics">population genetics</a>, <a href="https://publications.waset.org/abstracts/search?q=wild%20species" title=" wild species"> wild species</a>, <a href="https://publications.waset.org/abstracts/search?q=evolutionary%20study" title=" evolutionary study"> evolutionary study</a>, <a href="https://publications.waset.org/abstracts/search?q=coffee%20plant" title=" coffee plant"> coffee plant</a> </p> <a href="https://publications.waset.org/abstracts/187447/resequencing-and-genomic-study-of-wild-coffea-arabica-unveils-genetic-groups-at-its-origin-and-their-geographic-distribution" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187447.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">40</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">28821</span> Genetic and Non-Genetic Evaluation of Milk Yield and Litter Size of Awassi Sheep in Drylands</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Al-Najjar">Khaled Al-Najjar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Q.%20Al-Momani"> Ahmad Q. Al-Momani</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Elnahas"> Ahmed Elnahas</a>, <a href="https://publications.waset.org/abstracts/search?q=Reda%20Elsaid"> Reda Elsaid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research was carried out using records of Awassi sheep bred in drylands at Al-Fjaj Station, Jordan. That aimed to study non-genetic factors affecting milk yield (MK), litter size at birth (LZB); estimate heritability, repeatability, and genetic and phenotypic correlation using SAS and MTDFREML programs. The results were as follows, the average MK and LZB were 92.84 (kg) and 1.16, respectively. MK was highly significantly affected by each parity, age of ewe, year of lambing, and lactation period, while only the year of lambing had a significant effect on LZB. The heritability and repeatability were 0.07 and 0.10 for MK, while it was 0.05 and 0.25 for LZB. The genetic and phenotypic correlations were 0.17 and 0.02 between MK and LZB, respectively. The research concluded that the herd is genetically homozygous and therefore needs to increase genetic variance by introducing LZB-improved rams and selecting females from dams who achieved at least four parties to increase returns in drylands. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Awassi%20sheep" title="Awassi sheep">Awassi sheep</a>, <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=litter%20size" title=" litter size"> litter size</a>, <a href="https://publications.waset.org/abstracts/search?q=milk%20yield" title=" milk yield"> milk yield</a> </p> <a href="https://publications.waset.org/abstracts/149418/genetic-and-non-genetic-evaluation-of-milk-yield-and-litter-size-of-awassi-sheep-in-drylands" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149418.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">121</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">28820</span> High-Risk Gene Variant Profiling Models Ethnic Disparities in Diabetes Vulnerability </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jianhua%20Zhang">Jianhua Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Weiping%20Chen"> Weiping Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Guanjie%20Chen"> Guanjie Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Jason%20Flannick"> Jason Flannick</a>, <a href="https://publications.waset.org/abstracts/search?q=Emma%20Fikse"> Emma Fikse</a>, <a href="https://publications.waset.org/abstracts/search?q=Glenda%20Smerin"> Glenda Smerin</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanqin%20Yang"> Yanqin Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yulong%20Li"> Yulong Li</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20A.%20Hanover"> John A. Hanover</a>, <a href="https://publications.waset.org/abstracts/search?q=William%20F.%20Simonds"> William F. Simonds</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ethnic disparities in many diseases are well recognized and reflect the consequences of genetic, behavior, and environmental factors. However, direct scientific evidence connecting the ethnic genetic variations and the disease disparities has been elusive, which may have led to the ethnic inequalities in large scale genetic studies. Through the genome-wide analysis of data representing 185,934 subjects, including 14,955 from our own studies of the African America Diabetes Mellitus, we discovered sets of genetic variants either unique to or conserved in all ethnicities. We further developed a quantitative gene function-based high-risk variant index (hrVI) of 20,428 genes to establish profiles that strongly correlate with the subjects' self-identified ethnicities. With respect to the ability to detect human essential and pathogenic genes, the hrVI analysis method is both comparable with and complementary to the well-known genetic analysis methods, pLI and VIRlof. Application of the ethnicity-specific hrVI analysis to the type 2 diabetes mellitus (T2DM) national repository, containing 20,791 cases and 24,440 controls, identified 114 candidate T2DM-associated genes, 8.8-fold greater than that of ethnicity-blind analysis. All the genes identified are defined as either pathogenic or likely-pathogenic in ClinVar database, with 33.3% diabetes-associated and 54.4% obesity-associated genes. These results demonstrate the utility of hrVI analysis and provide the first genetic evidence by clustering patterns of how genetic variations among ethnicities may impede the discovery of diabetes and foreseeably other disease-associated genes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diabetes-associated%20genes" title="diabetes-associated genes">diabetes-associated genes</a>, <a href="https://publications.waset.org/abstracts/search?q=ethnic%20health%20disparities" title=" ethnic health disparities"> ethnic health disparities</a>, <a href="https://publications.waset.org/abstracts/search?q=high-risk%20variant%20index" title=" high-risk variant index"> high-risk variant index</a>, <a href="https://publications.waset.org/abstracts/search?q=hrVI" title=" hrVI"> hrVI</a>, <a href="https://publications.waset.org/abstracts/search?q=T2DM" title=" T2DM"> T2DM</a> </p> <a href="https://publications.waset.org/abstracts/131697/high-risk-gene-variant-profiling-models-ethnic-disparities-in-diabetes-vulnerability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131697.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">137</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">28819</span> Genetic and Non-Genetic Factors Affecting the Response to Clopidogrel Therapy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Snezana%20Mugosa">Snezana Mugosa</a>, <a href="https://publications.waset.org/abstracts/search?q=Zoran%20Todorovic"> Zoran Todorovic</a>, <a href="https://publications.waset.org/abstracts/search?q=Zoran%20Bukumiric"> Zoran Bukumiric</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivan%20Radosavljevic"> Ivan Radosavljevic</a>, <a href="https://publications.waset.org/abstracts/search?q=Natasa%20Djordjevic"> Natasa Djordjevic</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Various studies have shown that the frequency of clopidogrel resistance ranges from 4-40%. The aim of this study was to provide in depth analysis of genetic and non-genetic factors that influence clopidogrel resistance in cardiology patients. Methods: We have conducted a prospective study in 200 hospitalized patients hospitalized at Cardiology Centre of the Clinical Centre of Montenegro. CYP2C19 genetic testing was conducted, and the PREDICT score was calculated in 102 out of 200 patients treated with clopidogrel in order to determine the influence of genetic and non-genetic factors on outcomes of interest. Adverse cardiovascular events and adverse reactions to clopidogrel were assessed during 12 months follow up period. Results: PREDICT score and CYP2C19 enzymatic activity were found to be statistically significant predictors of expressing lack of therapeutic efficacy of clopidogrel by multivariate logistic regression, without multicollinearity or interaction between the predictors (p = 0.002 and 0.009, respectively). Conclusions: Pharmacogenetics analyses that were done in the Montenegrin population of patients for the first time suggest that these analyses can predict patient response to the certain therapy. Stepwise approach could be used in assessing the clopidogrel resistance in cardiology patients, combining the PREDICT score, platelet aggregation test, and genetic testing for CYP2C19 polymorphism. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clopidogrel" title="clopidogrel">clopidogrel</a>, <a href="https://publications.waset.org/abstracts/search?q=pharmacogenetics" title=" pharmacogenetics"> pharmacogenetics</a>, <a href="https://publications.waset.org/abstracts/search?q=pharmacotherapy" title=" pharmacotherapy"> pharmacotherapy</a>, <a href="https://publications.waset.org/abstracts/search?q=PREDICT%20score" title=" PREDICT score"> PREDICT score</a> </p> <a href="https://publications.waset.org/abstracts/37484/genetic-and-non-genetic-factors-affecting-the-response-to-clopidogrel-therapy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37484.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">351</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">28818</span> Investigation of Genetic Diversity of Tilia tomentosa Moench. (Silver Lime) in Duzce-Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20Ilker%20Ozyigit">Ibrahim Ilker Ozyigit</a>, <a href="https://publications.waset.org/abstracts/search?q=Ertugrul%20Filiz"> Ertugrul Filiz</a>, <a href="https://publications.waset.org/abstracts/search?q=Seda%20Birbilener"> Seda Birbilener</a>, <a href="https://publications.waset.org/abstracts/search?q=Semsettin%20Kulac"> Semsettin Kulac</a>, <a href="https://publications.waset.org/abstracts/search?q=Zeki%20Severoglu"> Zeki Severoglu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, we have performed genetic diversity analysis of Tilia tomentosa genotypes by using randomly amplified polymorphic DNA (RAPD) primers. A total of 28 genotypes, including 25 members from the urban ecosystem and 3 genotypes from forest ecosystem as outgroup were used. 8 RAPD primers produced a total of 53 bands, of which 48 (90.6 %) were polymorphic. Percentage of polymorphic loci (P), observed number of alleles (Na), effective number of alleles (Ne), Nei's (1973) gene diversity (h), and Shannon's information index (I) were found as 94.29 %, 1.94, 1.60, 0.34, and 0.50, respectively. The unweighted pair-group method with arithmetic average (UPGMA) cluster analysis revealed that two major groups were observed. The genotypes of urban and forest ecosystems showed a high genetic similarity between 28% and 92% and these genotypes did not separate from each other in UPGMA tree. Also, urban and forest genotypes clustered together in principal component analysis (PCA). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tilia%20tomentosa" title="Tilia tomentosa">Tilia tomentosa</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=urban%20ecosystem" title=" urban ecosystem"> urban ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=RAPD" title=" RAPD"> RAPD</a>, <a href="https://publications.waset.org/abstracts/search?q=UPGMA" title=" UPGMA"> UPGMA</a> </p> <a href="https://publications.waset.org/abstracts/26352/investigation-of-genetic-diversity-of-tilia-tomentosa-moench-silver-lime-in-duzce-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26352.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">510</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">28817</span> Optimization Analysis of a Concentric Tube Heat Exchanger with Field Synergy Principle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20C.%20Lin">M. C. Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20W.%20Su"> C. W. Su</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper investigates the optimization analysis to the heat exchanger design, mainly with response surface method and genetic algorithm to explore the relationship between optimal fluid flow velocity and temperature of the heat exchanger using field synergy principle. First, finite volume method is proposed to calculate the flow temperature and flow rate distribution for numerical analysis. We identify the most suitable simulation equations by response surface methodology. Furthermore, a genetic algorithm approach is applied to optimize the relationship between fluid flow velocity and flow temperature of the heat exchanger. The results show that the field synergy angle plays vital role in the performance of a true heat exchanger. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optimization%20analysis" title="optimization analysis">optimization analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=field%20synergy" title=" field synergy"> field synergy</a>, <a href="https://publications.waset.org/abstracts/search?q=heat%20exchanger" title=" heat exchanger"> heat exchanger</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a> </p> <a href="https://publications.waset.org/abstracts/50449/optimization-analysis-of-a-concentric-tube-heat-exchanger-with-field-synergy-principle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50449.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">307</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">28816</span> Security System for Safe Transmission of Medical Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Jamal%20Al-Mansor">Mohammed Jamal Al-Mansor</a>, <a href="https://publications.waset.org/abstracts/search?q=Kok%20Beng%20Gan"> Kok Beng Gan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper develops an optimized embedding of payload in medical image by using genetic optimization. The goal is to preserve region of interest from being distorted because of the watermark. By using this developed system there is no need of manual defining of region of interest through experts as the system will apply the genetic optimization to select the parts of image that can carry the watermark with guaranteeing less distortion. The experimental results assure that genetic based optimization is useful for performing steganography with less mean square error percentage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AES" title="AES">AES</a>, <a href="https://publications.waset.org/abstracts/search?q=DWT" title=" DWT"> DWT</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=watermarking" title=" watermarking"> watermarking</a> </p> <a href="https://publications.waset.org/abstracts/52270/security-system-for-safe-transmission-of-medical-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52270.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">411</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">28815</span> Genetic Characterization of Barley Genotypes via Inter-Simple Sequence Repeat</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Yorganc%C4%B1lar">Mustafa Yorgancılar</a>, <a href="https://publications.waset.org/abstracts/search?q=Emine%20Atalay"> Emine Atalay</a>, <a href="https://publications.waset.org/abstracts/search?q=Necdet%20Akg%C3%BCn"> Necdet Akgün</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Topal"> Ali Topal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, polymerase chain reaction based Inter-simple sequence repeat (ISSR) from DNA fingerprinting techniques were used to investigate the genetic relationships among barley crossbreed genotypes in Turkey. It is important that selection based on the genetic base in breeding programs via ISSR, in terms of breeding time. 14 ISSR primers generated a total of 97 bands, of which 81 (83.35%) were polymorphic. The highest total resolution power (RP) value was obtained from the F2 (0.53) and M16 (0.51) primers. According to the ISSR result, the genetic similarity index changed between 0.64–095; Lane 3 with Line 6 genotypes were the closest, while Line 36 were the most distant ones. The ISSR markers were found to be promising for assessing genetic diversity in barley crossbreed genotypes. <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=crossbreed" title=" crossbreed"> crossbreed</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20similarity" title=" genetic similarity"> genetic similarity</a>, <a href="https://publications.waset.org/abstracts/search?q=ISSR" title=" ISSR"> ISSR</a> </p> <a href="https://publications.waset.org/abstracts/63629/genetic-characterization-of-barley-genotypes-via-inter-simple-sequence-repeat" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63629.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">347</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">28814</span> The Role of Genetic Markers in Prostate Cancer Diagnosis and Treatment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farman%20Ali">Farman Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Asif%20Mahmood"> Asif Mahmood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The utilization of genetic markers in prostate cancer management represents a significant advance in personalized medicine, offering the potential for more precise diagnosis and tailored treatment strategies. This paper explores the pivotal role of genetic markers in the diagnosis and treatment of prostate cancer, emphasizing their contribution to the identification of individual risk profiles, tumor aggressiveness, and response to therapy. By integrating current research findings, we discuss the application of genetic markers in developing targeted therapies and the implications for patient outcomes. Despite the promising advancements, challenges such as accessibility, cost, and the need for further validation in diverse populations remain. The paper concludes with an outlook on future directions, underscoring the importance of genetic markers in revolutionizing prostate cancer care. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=prostate%20cancer" title="prostate cancer">prostate cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20markers" title=" genetic markers"> genetic markers</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=BRCA1%20and%20BRCA2" title=" BRCA1 and BRCA2"> BRCA1 and BRCA2</a> </p> <a href="https://publications.waset.org/abstracts/184866/the-role-of-genetic-markers-in-prostate-cancer-diagnosis-and-treatment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184866.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">62</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">28813</span> Morpho-Genetic Assessment of Guava (Psidium guajava L.) Genetic Resources in Pakistan </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asim%20Mehmood">Asim Mehmood</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Karim"> Abdul Karim</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20J.%20Jaskani"> Muhammad J. Jaskani</a>, <a href="https://publications.waset.org/abstracts/search?q=Faisal%20S.%20Awan"> Faisal S. Awan</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20W.%20Sajid"> Muhammad W. Sajid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Guava (Psidium guajava L.) is an important commercial fruit crop of Pakistan. It is an allogamous crop having 25-40% cross pollination which on the one hand leads to clonal degradation and on the other hand can add variations to generated new cultivars. Morpho-genetic characterization of 37 guava accessions was carried out for study of the genetic diversity among guava accessions located in province Punjab, Pakistan. For morphological analysis, 17 morphological traits were studied, and strong positive correlation was found among the 7 morphological traits which included thickness of outer flesh in relation to core diameter, fruit length, fruit width, fruit juiciness, fruit size, fruit sweetness and number of seeds. For genetic characterization, 18 microsatellites were used, and the sizes of reproducible and scorable bands ranged from 150 to 320 bp. These 18 primer pairs amplified a total of 85 alleles in P. guajava, with an average total number of 4.7 alleles per locus and no more than two displayed bands (nuclear SSR loci). The phylogenetic tree based on the morphological and genetic traits showed the diversity of these 37 guava genotypes into two major groups. These results indicated that Pakistani guava is quite diverse and a more detail study is needed to define the level of genetic variability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Psidium%20guajava%20L" title="Psidium guajava L">Psidium guajava L</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=SSR%20markers" title=" SSR markers"> SSR markers</a>, <a href="https://publications.waset.org/abstracts/search?q=polymorphism" title=" polymorphism"> polymorphism</a>, <a href="https://publications.waset.org/abstracts/search?q=dendrogram" title=" dendrogram "> dendrogram </a> </p> <a href="https://publications.waset.org/abstracts/83595/morpho-genetic-assessment-of-guava-psidium-guajava-l-genetic-resources-in-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83595.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">208</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">28812</span> Microsatellite-Based Genetic Variations and Relationships among Some Farmed Nile Tilapia Populations in Ghana: Implications for Nile Tilapia Culture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Acheampong%20Addo">Acheampong Addo</a>, <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Odartei%20Armah"> Emmanuel Odartei Armah</a>, <a href="https://publications.waset.org/abstracts/search?q=Seth%20Koranteng%20Agyakwah"> Seth Koranteng Agyakwah</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruby%20Asmah"> Ruby Asmah</a>, <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Tetteh-Doku%20Mensah"> Emmanuel Tetteh-Doku Mensah</a>, <a href="https://publications.waset.org/abstracts/search?q=Rhoda%20Lims%20Diyie"> Rhoda Lims Diyie</a>, <a href="https://publications.waset.org/abstracts/search?q=Sena%20Amewu"> Sena Amewu</a>, <a href="https://publications.waset.org/abstracts/search?q=Catherine%20Ragasa"> Catherine Ragasa</a>, <a href="https://publications.waset.org/abstracts/search?q=Edward%20Kofi%20Abban"> Edward Kofi Abban</a>, <a href="https://publications.waset.org/abstracts/search?q=Mike%20Yaw%20Osei-Atweneboana"> Mike Yaw Osei-Atweneboana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study investigated genetic variation and relationships among populations of Nile tilapia cultured in small-scale fish farms in selected regions of Ghana. A total of 700 samples were collected. All samples were screened with five microsatellite markers and results were analyzed using (Genetic Analysis in Excel), (Molecular and Evolutionary Genetic Analysis software, and Genpop on the web for Heterozygosity and Shannon diversity, (Analysis of Molecular Variance), and (Principal Coordinate Analysis). Fish from the 16 populations (made up of 14 farms and 2 selectively bred populations) clustered into three groups: 7 populations clustered with the GIFT-derived strain, 4 populations clustered with the Akosombo strain, and three populations were in a separate cluster. The clustering pattern indicated groups of different strains of Nile tilapia cultured. Mantel correlation test also showed low genetic variations among the 16 populations hence the need to boost seed quality in order to accelerate aquaculture production in Ghana. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microsatellites" title="microsatellites">microsatellites</a>, <a href="https://publications.waset.org/abstracts/search?q=small-%20scale" title=" small- scale"> small- scale</a>, <a href="https://publications.waset.org/abstracts/search?q=Nile%20tilapia" title=" Nile tilapia"> Nile tilapia</a>, <a href="https://publications.waset.org/abstracts/search?q=akosombo%20strain" title=" akosombo strain"> akosombo strain</a>, <a href="https://publications.waset.org/abstracts/search?q=GIFT%20strain" title=" GIFT strain"> GIFT strain</a> </p> <a href="https://publications.waset.org/abstracts/163597/microsatellite-based-genetic-variations-and-relationships-among-some-farmed-nile-tilapia-populations-in-ghana-implications-for-nile-tilapia-culture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163597.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">167</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">28811</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> <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=genetic%20analysis&page=2">2</a></li> <li class="page-item"><a class="page-link" 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