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yield</title> <meta name="description" content="Search results for: crop yield"> <meta name="keywords" content="crop yield"> <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 ml-auto" 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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="crop yield"> <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> 3144</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: crop yield</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3144</span> Evaluating the Effects of Weather and Climate Change to Risks in Crop Production</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marcus%20Bellett-Travers">Marcus Bellett-Travers</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Different modelling approaches have been used to determine or predict yield of crops in different geographies. Central to the methodologies are the presumption that it is the absolute yield of the crop in a given location that is of the highest priority to those requiring information on crop productivity. Most individuals, companies and organisations within the agri-food sector need to be able to balance the supply of crops with the demand for them. Different modelling approaches have been used to determine and predict crop yield. The growing need to ensure certainty of supply and stability of prices requires an approach that describes the risk in producing a crop. A review of current methodologies to evaluate the risk to food production from changes in the weather and climate is presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crop%20production" title="crop production">crop production</a>, <a href="https://publications.waset.org/abstracts/search?q=risk" title=" risk"> risk</a>, <a href="https://publications.waset.org/abstracts/search?q=climate" title=" climate"> climate</a>, <a href="https://publications.waset.org/abstracts/search?q=modelling" title=" modelling"> modelling</a> </p> <a href="https://publications.waset.org/abstracts/68054/evaluating-the-effects-of-weather-and-climate-change-to-risks-in-crop-production" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68054.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">386</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">3143</span> Effect of Marginal Quality Groundwater on Yield of Cotton Crop and Soil Salinity Status</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20L.%20Qureshi">A. L. Qureshi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20Mahessar"> A. A. Mahessar</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20K.%20Dashti"> R. K. Dashti</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20M.%20Yasin"> S. M. Yasin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, effect of marginal quality groundwater on yield of cotton crop and soil salinity was studied. In this connection, three irrigation treatments each with four replications were applied. These treatments were use of canal water, use of marginal quality groundwater from tube well, and conjunctive use by mixing with the ratio of 1:1 of canal water and marginal quality tubewell water. Water was applied to the crop cultivated in Kharif season 2011; its quantity has been measured using cut-throat flume. Total 11 watering each of 50 mm depth have been applied from 20th April to 20th July, 2011. Further, irrigations were stopped from last week of July, 2011 due to monsoon rainfall. Maximum crop yield (seed cotton) was observed under T1 which was 1,516.8 kg/ha followed by T3 (mixed canal and tube well water) having 1009 kg/ha and 709 kg/ha for T2 i.e. marginal quality groundwater. This concludes that crop yield in T2 and T3 with in comparison to T1was reduced by about 53 and 30% respectively. It has been observed that yield of cotton crop is below potential limit for three treatments due to unexpected rainfall at the time of full flowering season; thus the yield was adversely affected. However, salt deposition in soil profiles was not observed that is due to leaching effect of heavy rainfall occurred during monsoon season. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conjunctive%20use" title="conjunctive use">conjunctive use</a>, <a href="https://publications.waset.org/abstracts/search?q=cotton%20crop" title=" cotton crop"> cotton crop</a>, <a href="https://publications.waset.org/abstracts/search?q=groundwater" title=" groundwater"> groundwater</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20salinity%20status" title=" soil salinity status"> soil salinity status</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20use%20efficiency" title=" water use efficiency "> water use efficiency </a> </p> <a href="https://publications.waset.org/abstracts/17342/effect-of-marginal-quality-groundwater-on-yield-of-cotton-crop-and-soil-salinity-status" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17342.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">448</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">3142</span> Evaluation of Ceres Wheat and Rice Model for Climatic Conditions in Haryana, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mamta%20Rana">Mamta Rana</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20K.%20Singh"> K. K. Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Nisha%20Kumari"> Nisha Kumari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The simulation models with its soil-weather-plant atmosphere interacting system are important tools for assessing the crops in changing climate conditions. The CERES-Wheat & Rice vs. 4.6 DSSAT was calibrated and evaluated for one of the major producers of wheat and rice state- Haryana, India. The simulation runs were made under irrigated conditions and three fertilizer applications dose of N-P-K to estimate crop yield and other growth parameters along with the phenological development of the crop. The genetic coefficients derived by iteratively manipulating the relevant coefficients that characterize the phenological process of wheat and rice crop to the best fit match between the simulated and observed anthesis, physological maturity and final grain yield. The model validated by plotting the simulated and remote sensing derived LAI. LAI product from remote sensing provides the edge of spatial, timely and accurate assessment of crop. For validating the yield and yield components, the error percentage between the observed and simulated data was calculated. The analysis shows that the model can be used to simulate crop yield and yield components for wheat and rice cultivar under different management practices. During the validation, the error percentage was less than 10%, indicating the utility of the calibrated model for climate risk assessment in the selected region. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=simulation%20model" title="simulation model">simulation model</a>, <a href="https://publications.waset.org/abstracts/search?q=CERES-wheat%20and%20rice%20model" title=" CERES-wheat and rice model"> CERES-wheat and rice model</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20yield" title=" crop yield"> crop yield</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20coefficient" title=" genetic coefficient"> genetic coefficient</a> </p> <a href="https://publications.waset.org/abstracts/67021/evaluation-of-ceres-wheat-and-rice-model-for-climatic-conditions-in-haryana-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67021.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">305</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">3141</span> Assessment of Yield and Water Use Efficiency of Soybean under Deficit Irrigation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meysam%20Abedinpour">Meysam Abedinpour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Water limitation is the main challenge for crop production in a semi-arid environment. Deficit irrigation is a strategy that allows a crop to sustain some degree of water deficit in order to reduce costs and potentially increase income. For this goal, a field experimental carried out at Asrieh fields of Gorgan city in the north of Iran, during summer season 2011. The treatments imposed were different irrigation water regimes (i.e. W1:70, W2:80, W3:90, and W4:100) percent of field capacity (FC). The results showed that there was Significant difference between the yield and (WUE) under different levels of irrigation, excepting of soil moisture content at field capacity (W4) and 90% of field capacity (W3) on yield and water use efficiency (WUE). The seasonal irrigation water applied were (i.e. 375, 338, 300, and 263 mm ha-1) under different irrigation water treatments (100, 90, 80, 80 and 70%) of FC, respectively. Grain yield productions under treatments were 4180, 3955, 3640, and 3355 (kg ha-1) respectively. Furthermore, the results showed that water use efficiency (WUE) at different treatments were 7.67, 7.79, 7.74, and 7.75 Kg mm ha-1 for (100, 90, 80, and 70) per cent of field capacity, therefore the 90 % of FC treatment (W3) is recommended for Soybean irrigation for water saving. Furthermore, the result showed that the treatment of 90 % of filed capacity (W3) seemed to be better adapted to product a high crop yield with acceptable yield coupling with water use efficiency in Golestan province. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deficit%20irrigation" title="deficit irrigation">deficit irrigation</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20use%20efficiency" title=" water use efficiency"> water use efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a>, <a href="https://publications.waset.org/abstracts/search?q=soybean" title=" soybean"> soybean</a> </p> <a href="https://publications.waset.org/abstracts/16412/assessment-of-yield-and-water-use-efficiency-of-soybean-under-deficit-irrigation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16412.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">469</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">3140</span> Vine Copula Structure among Yield, Price and Weather Variables for Rating Crop Insurance Premium</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiemiao%20Chen">Jiemiao Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuoxun%20Xu"> Shuoxun Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main goal of our research is to apply the Vine copula measuring dependency between price, temperature, and precipitation indices to calculate a fair crop insurance premium. This research is focused on Worth, Iowa, United States, over the period from 2000 to 2020, where the farmers are dependent on precipitation and average temperature during the growth period of corn. Our proposed insurance considers both the natural risk and the price risk in agricultural production. We first estimate the distributions of crops using parametric methods based on Goodness of Fit tests, and then Vine Copula is applied to model dependence between yield price, crop yield, and weather indices. Once the vine structure and its parameters are determined based on AIC/BIC criteria and forecasting price and yield are obtained from the ARIMA model, we calculate this crop insurance premium using the simulation data generated from the vine copula by the Monte Carlo Simulation method. It is shown that, compared with traditional crop insurance, our proposed insurance is more fair and thus less costly for the farmers and government. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vine%20copula" title="vine copula">vine copula</a>, <a href="https://publications.waset.org/abstracts/search?q=weather%20index" title=" weather index"> weather index</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20insurance%20premium" title=" crop insurance premium"> crop insurance premium</a>, <a href="https://publications.waset.org/abstracts/search?q=insurance%20risk%20management" title=" insurance risk management"> insurance risk management</a>, <a href="https://publications.waset.org/abstracts/search?q=Monte%20Carlo%20simulation" title=" Monte Carlo simulation"> Monte Carlo simulation</a> </p> <a href="https://publications.waset.org/abstracts/141303/vine-copula-structure-among-yield-price-and-weather-variables-for-rating-crop-insurance-premium" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141303.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">201</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">3139</span> Estimation of Maize Yield by Using a Process-Based Model and Remote Sensing Data in the Northeast China Plain</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jia%20Zhang">Jia Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Fengmei%20Yao"> Fengmei Yao</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanjing%20Tan"> Yanjing Tan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The accurate estimation of crop yield is of great importance for the food security. In this study, a process-based mechanism model was modified to estimate yield of C4 crop by modifying the carbon metabolic pathway in the photosynthesis sub-module of the RS-P-YEC (Remote-Sensing-Photosynthesis-Yield estimation for Crops) model. The yield was calculated by multiplying net primary productivity (NPP) and the harvest index (HI) derived from the ratio of grain to stalk yield. The modified RS-P-YEC model was used to simulate maize yield in the Northeast China Plain during the period 2002-2011. The statistical data of maize yield from study area was used to validate the simulated results at county-level. The results showed that the Pearson correlation coefficient (R) was 0.827 (P < 0.01) between the simulated yield and the statistical data, and the root mean square error (RMSE) was 712 kg/ha with a relative error (RE) of 9.3%. From 2002-2011, the yield of maize planting zone in the Northeast China Plain was increasing with smaller coefficient of variation (CV). The spatial pattern of simulated maize yield was consistent with the actual distribution in the Northeast China Plain, with an increasing trend from the northeast to the southwest. Hence the results demonstrated that the modified process-based model coupled with remote sensing data was suitable for yield prediction of maize in the Northeast China Plain at the spatial scale. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=process-based%20model" title="process-based model">process-based model</a>, <a href="https://publications.waset.org/abstracts/search?q=C4%20crop" title=" C4 crop"> C4 crop</a>, <a href="https://publications.waset.org/abstracts/search?q=maize%20yield" title=" maize yield"> maize yield</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=Northeast%20China%20Plain" title=" Northeast China Plain"> Northeast China Plain</a> </p> <a href="https://publications.waset.org/abstracts/28997/estimation-of-maize-yield-by-using-a-process-based-model-and-remote-sensing-data-in-the-northeast-china-plain" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28997.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">375</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">3138</span> Assessing the Effects of Climate Change on Wheat Production, Ensuring Food Security and Loss Compensation under Crop Insurance Program in Punjab-Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mirza%20Waseem%20Abbas">Mirza Waseem Abbas</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Qayyum"> Abdul Qayyum</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Islam"> Muhammad Islam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change has emerged as a significant threat to global food security, affecting crop production systems worldwide. This research paper aims to examine the specific impacts of climate change on wheat production in Pakistan, Punjab in particular, a country highly dependent on wheat as a staple food crop. Through a comprehensive review of scientific literature, field observations, and data analysis, this study assesses the key climatic factors influencing wheat cultivation and the subsequent implications for food security in the region. A comparison of two subsequent Wheat seasons in Punjab was examined through climatic conditions, area, yield, and production data. From the analysis, it is observed that despite a decrease in the area under cultivation in the Punjab during the Wheat 2023 season, the production and average yield increased due to favorable weather conditions. These uncertain climatic conditions have a direct impact on crop yields. Last year due to heat waves, Wheat crop in Punjab suffered a significant loss. Through crop insurance, Wheat growers were provided with yield loss protection keeping in view the devastating heat wave and floods last year. Under crop insurance by the Government of the Punjab, 534,587 Wheat growers were insured with a $1.6 million premium subsidy. However, due to better climatic conditions, no loss in the yield was recorded in the insured areas. Crop Insurance is one of the suitable options for policymakers to protect farmers against climatic losses in the future as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title="climate change">climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20insurance" title=" crop insurance"> crop insurance</a>, <a href="https://publications.waset.org/abstracts/search?q=heatwave" title=" heatwave"> heatwave</a>, <a href="https://publications.waset.org/abstracts/search?q=wheat%20yield%20punjab" title=" wheat yield punjab"> wheat yield punjab</a> </p> <a href="https://publications.waset.org/abstracts/174146/assessing-the-effects-of-climate-change-on-wheat-production-ensuring-food-security-and-loss-compensation-under-crop-insurance-program-in-punjab-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174146.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">82</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">3137</span> Effects of Hypoxic Duration at Different Growth Stages on Yield Potential of Waxy Corn (Zea mays L.)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Boonlertnirun">S. Boonlertnirun</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Suvannasara"> R. Suvannasara</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Boonlertnirun"> K. Boonlertnirun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hypoxia has negative effects on growth and crop yield, its severity is so varied depending on crop growth stages, duration of hypoxia and crop species. The objective was to evaluate the sensitive growth stage and the duration of hypoxia negatively affecting growth and yield of waxy corn. Pot experiment was conducted using a split plot in randomized complete block with 3 growth stages: V3 (3-4 true leaves), V7 (7-8 true leaves), and R1 (silking stage), and three hypoxic durations: 6, 9, and 12 days, in an open–ended outdoor greenhouse during January to March 2013. The results revealed that different growth stages had significantly (p < 0.5) different responses to hypoxia, seeing that the sensitive growth stage affecting plant height, yield and yield components was mostly detected in V7 growth stage whereas leaf greenness and days to silking were sensitive to hypoxia at R1 growth stage. Different hypoxic durations significantly affected the yield and yield components, hypoxic duration of twelve days showed the most negative effect greater than the others. In this present study, it can be concluded that waxy corn plants were waterlogged at V7 growth stage for twelve days had the most negative effect on yield and yield components. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hypoxia%20duration" title="hypoxia duration">hypoxia duration</a>, <a href="https://publications.waset.org/abstracts/search?q=waxy%20corn" title=" waxy corn"> waxy corn</a>, <a href="https://publications.waset.org/abstracts/search?q=growth%20stage" title=" growth stage"> growth stage</a>, <a href="https://publications.waset.org/abstracts/search?q=Zea%20mays%20L." title=" Zea mays L. "> Zea mays L. </a> </p> <a href="https://publications.waset.org/abstracts/2297/effects-of-hypoxic-duration-at-different-growth-stages-on-yield-potential-of-waxy-corn-zea-mays-l" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2297.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">395</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">3136</span> Yield Level, Variability and Yield Gap of Maize (Zea Mays L.) Under Variable Climate Condition of the Semi-arid Central Rift Valley of Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fitih%20Ademe">Fitih Ademe</a>, <a href="https://publications.waset.org/abstracts/search?q=Kibebew%20Kibret"> Kibebew Kibret</a>, <a href="https://publications.waset.org/abstracts/search?q=Sheleme%20Beyene"> Sheleme Beyene</a>, <a href="https://publications.waset.org/abstracts/search?q=Mezgebu%20Getnet"> Mezgebu Getnet</a>, <a href="https://publications.waset.org/abstracts/search?q=Gashaw%20Meteke"> Gashaw Meteke</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Soil moisture and nutrient availability are the two key edaphic factors that affect crop yields and are directly or indirectly affected by climate variability and change. The study examined climate-induced yield level, yield variability and gap of maize during 1981-2010 main growing season in the Central Rift Valley (CRV) of Ethiopia. Pearson correlation test was employed to see the relationship between climate variables and yield. The coefficient of variation (CV) was used to analyze annual yield variability. Decision Support System for Agro-technology Transfer cropping system model (DSSAT-CSM) was used to simulate the growth and yield of maize for the study period. The result indicated that maize grain yield was strongly (P<0.01) and positively correlated with seasonal rainfall (r=0.67 at Melkassa and r = 0.69 at Ziway) in the CRV while day temperature affected grain yield negatively (r= -0.44) at Ziway (P<0.05) during the simulation period. Variations in total seasonal rainfall at Melkassa and Ziway explained 44.9 and 48.5% of the variation in yield, respectively, under optimum nutrition. Following variation in rainfall, high yield variability (CV=23.5%, Melkassa and CV=25.3%, Ziway) was observed for optimum nutrient simulation than the corresponding nutrient limited simulation (CV=16%, Melkassa and 24.1%, Ziway) in the study period. The observed farmers’ yield was 72, 52 and 43% of the researcher-managed, water-limited and potential yield of the crop, respectively, indicating a wide maize yield gap in the region. The study revealed rainfed crop production in the CRV is prone to yield variabilities due to its high dependence on seasonal rainfall and nutrient level. Moreover, the high coefficient of variation in the yield gap for the 30-year period also foretells the need for dependable water supply at both locations. Given the wide yield gap especially during lower rainfall years across the simulation periods, it signifies the requirement for a more dependable application of irrigation water and a potential shift to irrigated agriculture; hence, adopting options that can improve water availability and nutrient use efficiency would be crucial for crop production in the area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20variability" title="climate variability">climate variability</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20model" title=" crop model"> crop model</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20availability" title=" water availability"> water availability</a>, <a href="https://publications.waset.org/abstracts/search?q=yield%20gap" title=" yield gap"> yield gap</a>, <a href="https://publications.waset.org/abstracts/search?q=yield%20variability" title=" yield variability"> yield variability</a> </p> <a href="https://publications.waset.org/abstracts/175095/yield-level-variability-and-yield-gap-of-maize-zea-mays-l-under-variable-climate-condition-of-the-semi-arid-central-rift-valley-of-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175095.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">3135</span> Comparative Analysis of Yield before and after Access to Extension Services among Crop Farmers in Bauchi Local Government Area of Bauchi State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=U.%20S.%20Babuga">U. S. Babuga</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20H.%20Danwanka"> A. H. Danwanka</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Garba"> A. Garba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research was carried out to compare the yield of respondents before and after access to extension services on crop production technologies in the study area. Data were collected from the study area through questionnaires administered to seventy-five randomly selected respondents. Data were analyzed using descriptive statistics, t-test and regression models. The result disclosed that majority (97%) of the respondent attended one form of school or the other. The majority (78.67%) of the respondents had farm size ranging between 1-3 hectares. The majority of the respondent adopt improved variety of crops, plant spacing, herbicide, fertilizer application, land preparation, crop protection, crop processing and storage of farm produce. The result of the t-test between the yield of respondents before and after access to extension services shows that there was a significant (p<0.001) difference in yield before and after access to extension. It also indicated that farm size was significant (p<0.001) while household size, years of farming experience and extension contact were significant at (p<0.005). The major constraint to adoption of crop production technologies were shortage of extension agents, high cost of technology and lack of access to credit facility. The major pre-requisite for the improvement of extension service are employment of more extension agents or workers and adequate training. Adequate agricultural credit to farmers at low interest rates will enhance their adoption of crop production technologies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=comparative" title="comparative">comparative</a>, <a href="https://publications.waset.org/abstracts/search?q=analysis" title=" analysis"> analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a>, <a href="https://publications.waset.org/abstracts/search?q=access" title=" access"> access</a>, <a href="https://publications.waset.org/abstracts/search?q=extension" title=" extension"> extension</a> </p> <a href="https://publications.waset.org/abstracts/47039/comparative-analysis-of-yield-before-and-after-access-to-extension-services-among-crop-farmers-in-bauchi-local-government-area-of-bauchi-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47039.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">364</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">3134</span> Assimilating Remote Sensing Data Into Crop Models: A Global Systematic Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Luleka%20Dlamini">Luleka Dlamini</a>, <a href="https://publications.waset.org/abstracts/search?q=Olivier%20Crespo"> Olivier Crespo</a>, <a href="https://publications.waset.org/abstracts/search?q=Jos%20van%20Dam"> Jos van Dam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accurately estimating crop growth and yield is pivotal for timely sustainable agricultural management and ensuring food security. Crop models and remote sensing can complement each other and form a robust analysis tool to improve crop growth and yield estimations when combined. This study thus aims to systematically evaluate how research that exclusively focuses on assimilating RS data into crop models varies among countries, crops, data assimilation methods, and farming conditions. A strict search string was applied in the Scopus and Web of Science databases, and 497 potential publications were obtained. After screening for relevance with predefined inclusion/exclusion criteria, 123 publications were considered in the final review. Results indicate that over 81% of the studies were conducted in countries associated with high socio-economic and technological advancement, mainly China, the United States of America, France, Germany, and Italy. Many of these studies integrated MODIS or Landsat data into WOFOST to improve crop growth and yield estimation of staple crops at the field and regional scales. Most studies use recalibration or updating methods alongside various algorithms to assimilate remotely sensed leaf area index into crop models. However, these methods cannot account for the uncertainties in remote sensing observations and the crop model itself. l. Over 85% of the studies were based on commercial and irrigated farming systems. Despite a great global interest in data assimilation into crop models, limited research has been conducted in resource- and data-limited regions like Africa. We foresee a great potential for such application in those conditions. Hence facilitating and expanding the use of such an approach, from which developing farming communities could benefit. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crop%20models" title="crop models">crop models</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20assimilation" title=" data assimilation"> data assimilation</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20yield%20estimation" title=" crop yield estimation"> crop yield estimation</a> </p> <a href="https://publications.waset.org/abstracts/152890/assimilating-remote-sensing-data-into-crop-models-a-global-systematic-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152890.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">131</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">3133</span> Assimilating Remote Sensing Data into Crop Models: A Global Systematic Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Luleka%20Dlamini">Luleka Dlamini</a>, <a href="https://publications.waset.org/abstracts/search?q=Olivier%20Crespo"> Olivier Crespo</a>, <a href="https://publications.waset.org/abstracts/search?q=Jos%20van%20Dam"> Jos van Dam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accurately estimating crop growth and yield is pivotal for timely sustainable agricultural management and ensuring food security. Crop models and remote sensing can complement each other and form a robust analysis tool to improve crop growth and yield estimations when combined. This study thus aims to systematically evaluate how research that exclusively focuses on assimilating RS data into crop models varies among countries, crops, data assimilation methods, and farming conditions. A strict search string was applied in the Scopus and Web of Science databases, and 497 potential publications were obtained. After screening for relevance with predefined inclusion/exclusion criteria, 123 publications were considered in the final review. Results indicate that over 81% of the studies were conducted in countries associated with high socio-economic and technological advancement, mainly China, the United States of America, France, Germany, and Italy. Many of these studies integrated MODIS or Landsat data into WOFOST to improve crop growth and yield estimation of staple crops at the field and regional scales. Most studies use recalibration or updating methods alongside various algorithms to assimilate remotely sensed leaf area index into crop models. However, these methods cannot account for the uncertainties in remote sensing observations and the crop model itself. l. Over 85% of the studies were based on commercial and irrigated farming systems. Despite a great global interest in data assimilation into crop models, limited research has been conducted in resource- and data-limited regions like Africa. We foresee a great potential for such application in those conditions. Hence facilitating and expanding the use of such an approach, from which developing farming communities could benefit. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crop%20models" title="crop models">crop models</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20assimilation" title=" data assimilation"> data assimilation</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20yield%20estimation" title=" crop yield estimation"> crop yield estimation</a> </p> <a href="https://publications.waset.org/abstracts/149067/assimilating-remote-sensing-data-into-crop-models-a-global-systematic-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149067.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">82</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">3132</span> Effect of Deficit Irrigation on Barley Yield and Water Productivity through Field Experiment and Modeling at Koga Irrigation Scheme, Amhara Region, Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bekalu%20Melis%20Alehegn">Bekalu Melis Alehegn</a>, <a href="https://publications.waset.org/abstracts/search?q=Dagnenet%20Sultan%20Alemu"> Dagnenet Sultan Alemu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The insufficiency of water is the most severe restraint for the expansion of agriculture in arid and semi-arid areas. An important strategy for increasing water productivity and improving water productivity deficit irrigation at different growth stages is important to advance the yield and Water Productivity of barley in water scarce areas. A field experiment was conducted at the Koga irrigation scheme in Ethiopia to examine barley yield response to different irrigation regimes and validate the aqua crop model. The experimental setup comprised six randomized treatments (T) with three replications for one irrigation season because of financial limitations. The irrigation regimes were selected 100%, 75%, and 50% application levels in different growth stages of gross irrigation requirements using trial and error in order to select the optimal water application level. The treatments were: no stress at all (T1), 25% stressed during all crop stages (T2), 50% stressed at all stages (T3), 50% stressed at the development stage (T4), 50% stressed at mid-stage (T5) and 50% stress at initial and late season (T6). The agronomic parameters, including canopy cover, biomass, and grain yield, were collected to compare the ground-based crop yield and the aqua crop model. The results showed that the initial and late stages and stress 25% through the whole season were the right time for practice deficit irrigation without significant yield reduction. The highest (2.62kg/m³) and the lowest (2.03 kg/m³) water productivity were found under T3 and T4, respectively. The stress of 50% at the mid-growth stage and stress 50% of the full irrigation water requirement at all growth stages significantly (α=5%) affected the canopy expansion, biomass and yield production. The aqua Crop model performed well in simulating the yield of barley for most of the treatments (R2 = 0.84 and RMSE = 0.7 t ha–¹). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aqua%20crop" title="aqua crop">aqua crop</a>, <a href="https://publications.waset.org/abstracts/search?q=barley" title=" barley"> barley</a>, <a href="https://publications.waset.org/abstracts/search?q=deficit%20irrigation" title=" deficit irrigation"> deficit irrigation</a>, <a href="https://publications.waset.org/abstracts/search?q=irrigation%20regimes" title=" irrigation regimes"> irrigation regimes</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20productivity" title=" water productivity"> water productivity</a> </p> <a href="https://publications.waset.org/abstracts/189154/effect-of-deficit-irrigation-on-barley-yield-and-water-productivity-through-field-experiment-and-modeling-at-koga-irrigation-scheme-amhara-region-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/189154.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">26</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">3131</span> The Effect of Different Level Crop Load and Humic Substance Applications on Yield and Yield Components of Alphonse Lavallee Grape Cultivar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Sar%C4%B1kaya">A. Sarıkaya</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Ak%C4%B1n"> A. Akın</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was carried out to investigate effects of Control (C), 18 bud/vine, 23 bud/vine, 28 bud/vine, 18 bud/vine + TKI-Humas (soil), 23 bud/vine + TKI-Humas (soil), 28 bud/vine + TKI-Humas (soil) applications on yield and yield components of Alphonse Lavallee grape cultivar. The results were obtained as the highest cluster weight (302.31 g) with 18 bud/vine application; the highest berry weight (6.31 g) with 23 bud/vine + TKI-Humas (soil) and (6.79 g) with 28 bud/vine + TKI-Humas (soil) applications; the highest maturity index (36.95) with 18 bud/vine + TKI-Humas (soil) application; the highest L* color intensity (33.99) with 18 bud/vine + TKI-Humas (soil); the highest a* color intensity (1.53) with 23 bud/vine + TKI-Humas (soil) application. The effects of applications on grape fresh yield, grape juice yield and b* color intensity values were not found statistically significant. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alphonse%20Lavallee%20grape%20cultivar" title="Alphonse Lavallee grape cultivar">Alphonse Lavallee grape cultivar</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20load" title=" crop load"> crop load</a>, <a href="https://publications.waset.org/abstracts/search?q=TKI-Humas%20substances%20%28soil%29" title=" TKI-Humas substances (soil)"> TKI-Humas substances (soil)</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a>, <a href="https://publications.waset.org/abstracts/search?q=quality" title=" quality"> quality</a> </p> <a href="https://publications.waset.org/abstracts/46088/the-effect-of-different-level-crop-load-and-humic-substance-applications-on-yield-and-yield-components-of-alphonse-lavallee-grape-cultivar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46088.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">291</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">3130</span> A Method to Estimate Wheat Yield Using Landsat Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zama%20Mahmood">Zama Mahmood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The increasing demand of food management, monitoring of the crop growth and forecasting its yield well before harvest is very important. These days, yield assessment together with monitoring of crop development and its growth are being identified with the help of satellite and remote sensing images. Studies using remote sensing data along with field survey validation reported high correlation between vegetation indices and yield. With the development of remote sensing technique, the detection of crop and its mechanism using remote sensing data on regional or global scales have become popular topics in remote sensing applications. Punjab, specially the southern Punjab region is extremely favourable for wheat production. But measuring the exact amount of wheat production is a tedious job for the farmers and workers using traditional ground based measurements. However, remote sensing can provide the most real time information. In this study, using the Normalized Differentiate Vegetation Index (NDVI) indicator developed from Landsat satellite images, the yield of wheat has been estimated during the season of 2013-2014 for the agricultural area around Bahawalpur. The average yield of the wheat was found 35 kg/acre by analysing field survey data. The field survey data is in fair agreement with the NDVI values extracted from Landsat images. A correlation between wheat production (ton) and number of wheat pixels has also been calculated which is in proportional pattern with each other. Also a strong correlation between the NDVI and wheat area was found (R2=0.71) which represents the effectiveness of the remote sensing tools for crop monitoring and production estimation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=landsat" title="landsat">landsat</a>, <a href="https://publications.waset.org/abstracts/search?q=NDVI" title=" NDVI"> NDVI</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20images" title=" satellite images"> satellite images</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a> </p> <a href="https://publications.waset.org/abstracts/31728/a-method-to-estimate-wheat-yield-using-landsat-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31728.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">335</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">3129</span> Effect of Scattered Vachellia Tortilis (Umbrella Torn) and Vachellia nilotica (Gum Arabic) Trees on Selected Physio-Chemical Properties of the Soil and Yield of Sorghum (Sorghum bicolor (L.) Moench) in Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sisay%20Negash">Sisay Negash</a>, <a href="https://publications.waset.org/abstracts/search?q=Zebene%20Asfaw"> Zebene Asfaw</a>, <a href="https://publications.waset.org/abstracts/search?q=Kibreselassie%20Daniel"> Kibreselassie Daniel</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Zech"> Michael Zech</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A significant portion of the Ethiopian landscape features scattered trees that are deliberately managed in crop fields to enhance soil fertility and crop yield in which the compatibility of crops with these trees varies depending on location, tree species, and annual crop type. This study aimed to examine the effects of scattered Vachellia tortilis and Vachellia nilotica trees on selected physico-chemical properties of the soil, as well as the yield and yield components of sorghum in Ethiopia. Vachellia tortilis and Vachellia nilotica were selected on abundance occurrence and managed in crop fields. A randomized complete block design was used, with a distance from the tree canopy (middle, edge, and outside) as a treatment, and five trees of each species served as replications. Sorghum was planted up to 15 meters in the east, west, south, and north directions from the tree trunk to assess growth and yield. Soil samples were collected from the two tree species, three distance factors, three soil depths(0-20cm, 20-40cm, and 40-60cm), and five replications, totaling 45 samples for each tree species. These samples were analyzed for physical and chemical properties. The results indicated that both V. tortilis and V. nilotica significantly affected soil physico-chemical properties and sorghum yield. Specifically, soil moisture content, EC, total nitrogen, organic carbon, available phosphorus and potassium, CEC, sorghum plant height, panicle length, biomass, and yield decreased with increasing distance from the canopy. Conversely, bulk density and pH increased. Under the canopy, sorghum yield increased by 66.4% and 53.5% for V. tortilis and V. nilotica, respectively, due to higher soil moisture and nutrient availability. The study recommends promoting trees in crop fields, management options for new saplings, and further research on root decomposition and nutrient supply. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=canopy" title="canopy">canopy</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20yield" title=" crop yield"> crop yield</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20nutrient" title=" soil nutrient"> soil nutrient</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20organic%20matter" title=" soil organic matter"> soil organic matter</a>, <a href="https://publications.waset.org/abstracts/search?q=yield%20components" title=" yield components"> yield components</a> </p> <a href="https://publications.waset.org/abstracts/188954/effect-of-scattered-vachellia-tortilis-umbrella-torn-and-vachellia-nilotica-gum-arabic-trees-on-selected-physio-chemical-properties-of-the-soil-and-yield-of-sorghum-sorghum-bicolor-l-moench-in-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188954.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">25</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">3128</span> Evaluation of Wheat Varieties on Water Use Efficiency under Staggering Sowing times and Variable Irrigation Regimes under Timely and Late Sown Conditions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vaibhav%20Baliyan">Vaibhav Baliyan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shweta%20Mehrotra"> Shweta Mehrotra</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20S.%20Parihar"> S. S. Parihar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The agricultural productivity is challenged by climate change and depletion in natural resources, including water and land, which significantly affects the crop yield. Wheat is a thermo-sensitive crop and is prone to heat stress. High temperature decreases crop duration, yield attributes, and, subsequently, grain yield and biomass production. Terminal heat stress affects grain filling duration, grain yield, and yield attributes, thus causing a reduction in wheat yield. A field experiment was conducted at Indian Agricultural Research Institute, New Delhi, for two consecutive rabi seasons (2017-18 and 2018-19) on six varieties of wheat (early sown - HD 2967, HD 3086, HD 2894 and late sown - WR 544, HD 3059, HD 3117 ) with three moisture regimes (100%, 80%, and 60% ETc, and no irrigation) and six sowing dates in three replications to investigate the effect of different moisture regimes and sowing dates on growth, yield and water use efficiency of wheat for development of best management practices for mitigation of terminal heat stress. HD3086 and HD3059 gave higher grain yield than others under early sown and late sown conditions, respectively. Maximum soil moisture extraction was recorded from 0-30 cm soil depth across the sowing dates, irrigation regimes, and varieties. Delayed sowing resulted in reducing crop growth period and forced maturity, in turn, led to significant deterioration in all the yield attributing characters and, there by, reduction in yield, suggesting that terminal heat stress had greater impact on yield. Early sowing and irrigation at 80% ETc resulted in improved growth and yield attributes and water use efficiency in both the seasons and helped to some extent in reducing the risk of terminal heat stress of wheat grown on sandy loam soils of semi-arid regions of India. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sowing" title="sowing">sowing</a>, <a href="https://publications.waset.org/abstracts/search?q=irrigation" title=" irrigation"> irrigation</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a>, <a href="https://publications.waset.org/abstracts/search?q=heat%20stress" title=" heat stress"> heat stress</a> </p> <a href="https://publications.waset.org/abstracts/164830/evaluation-of-wheat-varieties-on-water-use-efficiency-under-staggering-sowing-times-and-variable-irrigation-regimes-under-timely-and-late-sown-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164830.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">97</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">3127</span> Evaluation of Water Management Options to Improve the Crop Yield and Water Productivity for Semi-Arid Watershed in Southern India Using AquaCrop Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20S.%20Manivasagam">V. S. Manivasagam</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Nagarajan"> R. Nagarajan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modeling the soil, water and crop growth interactions are attaining major importance, considering the future climate change and water availability for agriculture to meet the growing food demand. Progress in understanding the crop growth response during water stress period through crop modeling approach provides an opportunity for improving and sustaining the future agriculture water use efficiency. An attempt has been made to evaluate the potential use of crop modeling approach for assessing the minimal supplementary irrigation requirement for crop growth during water limited condition and its practical significance in sustainable improvement of crop yield and water productivity. Among the numerous crop models, water driven-AquaCrop model has been chosen for the present study considering the modeling approach and water stress impact on yield simulation. The study has been evaluated in rainfed maize grown area of semi-arid Shanmuganadi watershed (a tributary of the Cauvery river system) located in southern India during the rabi cropping season (October-February). In addition to actual rainfed maize growth simulation, irrigated maize scenarios were simulated for assessing the supplementary irrigation requirement during water shortage condition for the period 2012-2015. The simulation results for rainfed maize have shown that the average maize yield of 0.5-2 t ha-1 was observed during deficit monsoon season (<350 mm) whereas 5.3 t ha-1 was noticed during sufficient monsoonal period (>350 mm). Scenario results for irrigated maize simulation during deficit monsoonal period has revealed that 150-200 mm of supplementary irrigation has ensured the 5.8 t ha-1 of irrigated maize yield. Thus, study results clearly portrayed that minimal application of supplementary irrigation during the critical growth period along with the deficit rainfall has increased the crop water productivity from 1.07 to 2.59 kg m-3 for major soil types. Overall, AquaCrop is found to be very effective for the sustainable irrigation assessment considering the model simplicity and minimal inputs requirement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AquaCrop" title="AquaCrop">AquaCrop</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20modeling" title=" crop modeling"> crop modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfed%20maize" title=" rainfed maize"> rainfed maize</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20stress" title=" water stress"> water stress</a> </p> <a href="https://publications.waset.org/abstracts/54765/evaluation-of-water-management-options-to-improve-the-crop-yield-and-water-productivity-for-semi-arid-watershed-in-southern-india-using-aquacrop-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54765.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">267</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">3126</span> Effects of Tillage and Crop Residues Management in Improving Rainfall-Use Efficiency in Dryland Crops under Sandy Soils</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cosmas%20Parwada">Cosmas Parwada</a>, <a href="https://publications.waset.org/abstracts/search?q=Ronald%20Mandumbu"> Ronald Mandumbu</a>, <a href="https://publications.waset.org/abstracts/search?q=Handseni%20Tibugari"> Handseni Tibugari</a>, <a href="https://publications.waset.org/abstracts/search?q=Trust%20Chinyama"> Trust Chinyama</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A 3-yr field experiment to evaluate effects of tillage and residue management on soil water storage (SWS), grain yield, harvest index (HI) and water use efficiency (WUE) of sorghum was done in sandy soils. Treatments were conventional (CT) and minimum (MT) tillage without residue retention and conventional (CT × RT) and minimum (MT × RT) tillage with residue retention. Change in SWS was higher under CT and MT than in CT × RT and MT × RT, especially in the 0-10 cm soil layer. Grain yield and HI were significantly (P < 0.05) lower in CT and MT than CT × RT and MT × RT. Grain yield and HI were significantly (P < 0.05) positively correlated to WUE but WUE significantly (P < 0.05) negatively correlated to sand (%) particle content. The SWS was lower in winter but higher in summer and was significantly correlated to soil organic carbon (SOC), sand (%), grain yield (t/ha), HI and WUE. The WUE linearly increasing from first to last cropping seasons in tillage with returned residues; higher in CT × RT and MT × RT that promoted SOC buildup than where crop residues were removed. Soil tillage decreased effects of residues on SWS, WUE, grain yield and HI. Minimum tillage coupled to residue retention sustainably enhanced WUE but further research to investigate the interaction effects of the tillage on WUE and soil fertility management is required. Understanding and considering the WUE in crops can be a primary condition for cropping system designs. The findings pave way for further research and crop management programmes, allowing to valorize the water in crop production. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=evapotranspiration" title="evapotranspiration">evapotranspiration</a>, <a href="https://publications.waset.org/abstracts/search?q=infiltration%20rate" title=" infiltration rate"> infiltration rate</a>, <a href="https://publications.waset.org/abstracts/search?q=organic%20mulch" title=" organic mulch"> organic mulch</a>, <a href="https://publications.waset.org/abstracts/search?q=sand" title=" sand"> sand</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20use%20efficiency" title=" water use efficiency"> water use efficiency</a> </p> <a href="https://publications.waset.org/abstracts/95785/effects-of-tillage-and-crop-residues-management-in-improving-rainfall-use-efficiency-in-dryland-crops-under-sandy-soils" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95785.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">215</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">3125</span> An Assessment of the Impacts of Agro-Ecological Practices towards the Improvement of Crop Health and Yield Capacity: A Case of Mopani District, Limpopo, South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tshilidzi%20C.%20Manyanya">Tshilidzi C. Manyanya</a>, <a href="https://publications.waset.org/abstracts/search?q=Nthaduleni%20S.%20Nethengwe"> Nthaduleni S. Nethengwe</a>, <a href="https://publications.waset.org/abstracts/search?q=Edmore%20Kori"> Edmore Kori</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The UNFCCC, FAO, GCF, IPCC and other global structures advocate for agro-ecology do address food security and sovereignty. However, most of the expected outcomes concerning agro-ecological were not empirically tested for universal application. Agro-ecology is theorised to increase crop health over ago-ecological farms and decrease over conventional farms. Increased crop health means increased carbon sequestration and thus less CO2 in the atmosphere. This is in line with the view that global warming is anthropogenically enhanced through GHG emissions. Agro-ecology mainly affects crop health, soil carbon content and yield on the cultivated land. Economic sustainability is directly related to yield capacity, which is theorized to increase by 3-10% in a space of 3 - 10 years as a result of agro-ecological implementation. This study aimed to empirically assess the practicality and validity of these assumptions. The study utilized mainly GIS and RS techniques to assess the effectiveness of agro-ecology in crop health improvement from satellite images. The assessment involved a longitudinal study (2013 – 2015) assessing the changes that occur after a farm retrofits from conventional agriculture to agro-ecology. The assumptions guided the objectives of the study. For each objective, an agro-ecological farm was compared with a conventional farm in the same climatic conditional occupying the same general location. Crop health was assessed using satellite images analysed through ArcGIS and Erdas. This entailed the production of NDVI and Re-classified outputs of the farm area. The NDVI ranges of the entire period of study were thus compared in a stacked histogram for each farm to assess for trends. Yield capacity was calculated based on the production records acquired from the farmers and plotted in a stacked bar graph as percentages of a total for each farm. The results of the study showed decreasing crop health trends over 80% of the conventional farms and an increase over 80% of the organic farms. Yield capacity showed similar patterns to those of crop health. The study thus showed that agro-ecology is an effective strategy for crop-health improvement and yield increase. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agro-ecosystem" title="agro-ecosystem">agro-ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=conventional%20farm" title=" conventional farm"> conventional farm</a>, <a href="https://publications.waset.org/abstracts/search?q=dialectical" title=" dialectical"> dialectical</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/53543/an-assessment-of-the-impacts-of-agro-ecological-practices-towards-the-improvement-of-crop-health-and-yield-capacity-a-case-of-mopani-district-limpopo-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53543.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">216</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">3124</span> Effect of Distillery Spentwash Application on Soil Properties and Yield of Maize (Zea mays L.) and Finger Millet (Eleusine coracana (L.) G)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20N.%20Lingaraju">N. N. Lingaraju</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Sathish"> A. Sathish</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20N.%20Geetha"> K. N. Geetha</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20A.%20Srinivasamurthy"> C. A. Srinivasamurthy</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Bhaskar"> S. Bhaskar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Studies on spent wash utilization as a nutrient source through 'Effect of distillery spentwash application on soil properties and yield of maize (Zea may L.) and finger millet (Eleusine coracana (L.) G)' was carried out in Malavalli Taluk, Mandya District, Karnataka State, India. The study was conducted in fourteen different locations of Malavalli (12) and Maddur taluk (2) involving maize and finger millet as a test crop. The spentwash was characterized for various parameters like pH, EC, total NPK, Na, Ca, Mg, SO₄, Fe, Zn, Cu, Mn and Cl content. It was observed from the results that the pH was slightly alkaline (7.45), EC was excess (23.3 dS m⁻¹), total NPK was 0.12, 0.02, and 1.31 percent respectively, Na, Ca, Mg and SO₄ concentration was 664, 1305, 745 and 618 (mg L⁻¹) respectively, total solid content was quite high (6.7%), Fe, Zn, Cu, Mn, values were 23.5, 5.70, 3.64, 4.0 mg L⁻¹, respectively. The crops were grown by adopting different crop management practices after application of spentwash at 100 m³ ha⁻¹ to the identified farmer fields. Soil samples were drawn at three stages i.e., before sowing of crop, during crop growth stage and after harvest of the crop at 2 depths (0-30 and 30-60 cm) and analyzed for pH, EC, available K and Na parameters by adopting standard procedures. The soil analysis showed slightly acidic reaction (5.93), normal EC (0.43 dS m⁻¹), medium available potassium (267 kg ha⁻¹) before application of spentwash. Application of spentwash has enhanced pH level of soil towards neutral (6.97), EC 0.25 dS m⁻¹, available K2O to 376 kg ha⁻¹ and sodium content of 0.73 C mol (P+) kg⁻¹ during the crop growth stage. After harvest of the crops soil analysis data indicated a decrease in pH to 6.28, EC of 0.22 dS m⁻¹, available K₂O to 316 kg ha⁻¹ and Na 0.52 C mol (P⁺) kg⁻¹ compared with crop growth stage. The study showed that, there will be enhancement of potassium levels if the spentwash is applied once to dryland. The yields of both the crops were quantified and found to be in the range of 35.65 to 65.55 q ha⁻¹ and increased yield to the extent of 13.36-22.36 percent as compared to control field (11.36-22.33 q ha⁻¹) in maize crop. Also, finger millet yield was increased with the spentwash application to the extent of 14.21-20.49 percent (9.5-17.73 q ha⁻¹) higher over farmers practice (8.15-14.15 q ha⁻¹). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distillery%20spentwash" title="distillery spentwash">distillery spentwash</a>, <a href="https://publications.waset.org/abstracts/search?q=finger%20millet" title=" finger millet"> finger millet</a>, <a href="https://publications.waset.org/abstracts/search?q=maize" title=" maize"> maize</a>, <a href="https://publications.waset.org/abstracts/search?q=waste%20water" title=" waste water"> waste water</a> </p> <a href="https://publications.waset.org/abstracts/83639/effect-of-distillery-spentwash-application-on-soil-properties-and-yield-of-maize-zea-mays-l-and-finger-millet-eleusine-coracana-l-g" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83639.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">358</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">3123</span> Response of Wheat (Triticum aestivum L.) to Deficit Irrigation Management in the Semi-Arid Awash Basin of Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gobena%20D.%20Bayisa">Gobena D. Bayisa</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Mekonen"> A. Mekonen</a>, <a href="https://publications.waset.org/abstracts/search?q=Megersa%20O.%20Dinka"> Megersa O. Dinka</a>, <a href="https://publications.waset.org/abstracts/search?q=Tilahun%20H.%20Nebi"> Tilahun H. Nebi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Boja"> M. Boja</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Crop production in arid and semi-arid regions of Ethiopia is largely limited by water availability. Changing climate conditions and declining water resources increase the need for appropriate approaches to improve water use and find ways to increase production through reduced and more reliable water supply. In the years 2021/22 and 2022/23, a field experiment was conducted to evaluate the effect of limited irrigation water use on bread wheat (Triticum aestivum L.) production, water use efficiency, and financial benefits. Five irrigation treatments, i.e., full irrigation (100% ETc/ control), 85% ETc, 70% ETc, 55% ETc, and 40% ETc, were evaluated using a randomized complete block design (RCBD) with four replicates in the semi-arid climate condition of Awash basin of Ethiopia. Statistical analysis showed a significant effect of irrigation levels on wheat grain yield, water use efficiency, crop water response factor, economic profit, wheat grain quality, aboveground biomass, and yield index. The highest grain yield (5085 kg ha⁻¹) was obtained with 100% ETc irrigation (417.2 mm), and the lowest grain yield with 40% ETc (223.7 mm). Of the treatments, 70% ETc produced the higher wheat grain yield (4555 kg ha⁻¹), the highest water use efficiency (1.42 kg m⁻³), and the highest yield index (0.43). Using the saved water, wheat could be produced 23.4% more with a 70% ETc deficit than full irrigation on 1.38 ha of land, and it could get the highest profit (US$2563.9) and higher MRR (137%). The yield response factor and crop-water production function showed potential reductions associated with increased irrigation deficits. However, a 70% ETc deficit is optimal for increasing wheat grain yield, water use efficiency, and economic benefits of irrigated wheat production. The result indicates that deficit irrigation of wheat under the typical arid and semi-arid climatic conditions of the Awash Basin can be a viable irrigation management approach for enhancing water use efficiency while minimizing the decrease in crop yield could be considered effective. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crop-water%20response%20factor" title="crop-water response factor">crop-water response factor</a>, <a href="https://publications.waset.org/abstracts/search?q=deficit%20irrigation" title=" deficit irrigation"> deficit irrigation</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20use%20efficiency" title=" water use efficiency"> water use efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=wheat%20production" title=" wheat production"> wheat production</a> </p> <a href="https://publications.waset.org/abstracts/174913/response-of-wheat-triticum-aestivum-l-to-deficit-irrigation-management-in-the-semi-arid-awash-basin-of-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174913.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">69</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">3122</span> Effect of BYMV on Faba Bean Productivity in Libya</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20S.%20El-Ammari">Abdullah S. El-Ammari</a>, <a href="https://publications.waset.org/abstracts/search?q=Omar%20M.%20El-Sanousi"> Omar M. El-Sanousi</a>, <a href="https://publications.waset.org/abstracts/search?q=Fathi%20S.%20El-Mesmari"> Fathi S. El-Mesmari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One distinct virus namely bean yellow mosaic potyvirus (BYMV) was isolated from naturally infected faba bean plants and identified through the serological reaction, mechanical transmission, host range and symptomology. To study the effect of BYMV on faba bean crop productivity, the experiment was carried out in naturally infected field in a completely randomized design with two treatments (the early infected plants and the lately infected plants). T- test was used to analyze the data. plants of each treatment were harvested when the pods were fully ripened. Early infection significantly reduced the yield of broad bean crop leading to 85.04% yield loss in productivity of seeds per plant, 72.42% yield loss in number of pods per plants, 31.58% yield loss in number of seeds per pod and 18.2% yield loss in weight of seeds per plant. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bean%20yellow%20mosaic%20potyvirus" title="bean yellow mosaic potyvirus">bean yellow mosaic potyvirus</a>, <a href="https://publications.waset.org/abstracts/search?q=faba%20bean" title=" faba bean"> faba bean</a>, <a href="https://publications.waset.org/abstracts/search?q=productivity" title=" productivity"> productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=libya" title=" libya"> libya</a> </p> <a href="https://publications.waset.org/abstracts/35584/effect-of-bymv-on-faba-bean-productivity-in-libya" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35584.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">315</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">3121</span> Determination of Yield and Yield Components of Fodder Beet (Beta vulgaris L. var. rapacea Koch.) Cultivars under the Konya Region Conditions </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Ozkose">A. Ozkose</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was conducted to determination of yield and yield components of some fodder beet types (Amarilla Barres, Feldherr, Kyros, Magnum, and Rota) under the Konya region conditions. Fodder beet was obtained from the Selcuk University, Faculty of Agriculture, at 2006-2007 season and the experiment was established in a randomized complete block design with three replicates. Differences among the averages of the fodder beet cultivars are statistically important in terms of all the characteristics investigated. Leaf attitude value was 1.2–2.2 (1=erect; 5= prostrate), root shape scale value was (1=spheroidal – 9=cylindrical), root diameter 11.0–12.2 cm, remaining part of root on the ground was 6.3–13.7 cm, root length was 21.4 – 29.6 cm, leaf yield 1592 – 1917 kg/da, root yield was 10083–12258 kg/da, root dry matter content was %8.2– 18.6 and root dry matter yield was 889–1887 kg/da. As a result of the study, it was determined that fodder beet cultivars are different conditions in terms of yield and yield components. Therefore, determination of appropriate cultivars for each region affect crop yield importantly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fedder%20beet" title="fedder beet">fedder beet</a>, <a href="https://publications.waset.org/abstracts/search?q=root%20yield" title=" root yield"> root yield</a>, <a href="https://publications.waset.org/abstracts/search?q=yield%20components" title=" yield components"> yield components</a>, <a href="https://publications.waset.org/abstracts/search?q=Konya" title=" Konya"> Konya</a>, <a href="https://publications.waset.org/abstracts/search?q=agriculture" title=" agriculture"> agriculture</a> </p> <a href="https://publications.waset.org/abstracts/3225/determination-of-yield-and-yield-components-of-fodder-beet-beta-vulgaris-l-var-rapacea-koch-cultivars-under-the-konya-region-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3225.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">484</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">3120</span> Geoinformation Technology of Agricultural Monitoring Using Multi-Temporal Satellite Imagery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Olena%20Kavats">Olena Kavats</a>, <a href="https://publications.waset.org/abstracts/search?q=Dmitry%20Khramov"> Dmitry Khramov</a>, <a href="https://publications.waset.org/abstracts/search?q=Kateryna%20Sergieieva"> Kateryna Sergieieva</a>, <a href="https://publications.waset.org/abstracts/search?q=Vladimir%20Vasyliev"> Vladimir Vasyliev</a>, <a href="https://publications.waset.org/abstracts/search?q=Iurii%20Kavats"> Iurii Kavats</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Geoinformation technologies of space agromonitoring are a means of operative decision making support in the tasks of managing the agricultural sector of the economy. Existing technologies use satellite images in the optical range of electromagnetic spectrum. Time series of optical images often contain gaps due to the presence of clouds and haze. A geoinformation technology is created. It allows to fill gaps in time series of optical images (Sentinel-2, Landsat-8, PROBA-V, MODIS) with radar survey data (Sentinel-1) and use information about agrometeorological conditions of the growing season for individual monitoring years. The technology allows to perform crop classification and mapping for spring-summer (winter and spring crops) and autumn-winter (winter crops) periods of vegetation, monitoring the dynamics of crop state seasonal changes, crop yield forecasting. Crop classification is based on supervised classification algorithms, takes into account the peculiarities of crop growth at different vegetation stages (dates of sowing, emergence, active vegetation, and harvesting) and agriculture land state characteristics (row spacing, seedling density, etc.). A catalog of samples of the main agricultural crops (Ukraine) is created and crop spectral signatures are calculated with the preliminary removal of row spacing, cloud cover, and cloud shadows in order to construct time series of crop growth characteristics. The obtained data is used in grain crop growth tracking and in timely detection of growth trends deviations from reference samples of a given crop for a selected date. Statistical models of crop yield forecast are created in the forms of linear and nonlinear interconnections between crop yield indicators and crop state characteristics (temperature, precipitation, vegetation indices, etc.). Predicted values of grain crop yield are evaluated with an accuracy up to 95%. The developed technology was used for agricultural areas monitoring in a number of Great Britain and Ukraine regions using EOS Crop Monitoring Platform (https://crop-monitoring.eos.com). The obtained results allow to conclude that joint use of Sentinel-1 and Sentinel-2 images improve separation of winter crops (rapeseed, wheat, barley) in the early stages of vegetation (October-December). It allows to separate successfully the soybean, corn, and sunflower sowing areas that are quite similar in their spectral characteristics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=geoinformation%20technology" title="geoinformation technology">geoinformation technology</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20classification" title=" crop classification"> crop classification</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20yield%20prediction" title=" crop yield prediction"> crop yield prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=agricultural%20monitoring" title=" agricultural monitoring"> agricultural monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=EOS%20Crop%20Monitoring%20Platform" title=" EOS Crop Monitoring Platform"> EOS Crop Monitoring Platform</a> </p> <a href="https://publications.waset.org/abstracts/89623/geoinformation-technology-of-agricultural-monitoring-using-multi-temporal-satellite-imagery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89623.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">456</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">3119</span> The Effect of Annual Weather and Sowing Date on Different Genotype of Maize (Zea mays L.) in Germination and Yield</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=%C3%81kos%20T%C3%B3tin">Ákos Tótin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In crop production the most modern hybrids are available for us, therefore the yield and yield stability is determined by the agro-technology. The purpose of the experiment is to adapt the modern agrotechnology to the new type of hybrids. The long-term experiment was set up in 2015-2016 on chernozem soil in the Hajdúság (eastern Hungary). The plots were set up in 75 thousand ha-1 plant density. We examined some mainly use hybrids of Hungary. The conducted studies are: germination dynamic, growing dynamic and the effect of annual weather for the yield. We use three different sowing date as early, average and late, and measure how many plant germinated during the germination process. In the experiment, we observed the germination dynamics in 6 hybrid in 4 replication. In each replication, we counted the germinated plants in 2m long 2 row wide area. Data will be shown in the average of the 6 hybrid and 4 replication. Growing dynamics were measured from the 10cm (4-6 leaf) plant highness. We measured 10 plants’ height in two weeks replication. The yield was measured buy a special plot harvester - the Sampo Rosenlew 2010 – what measured the weight of the harvested plot and also took a sample from it. We determined the water content of the samples for the water release dynamics. After it, we calculated the yield (t/ha) of each plot at 14% of moisture content to compare them. We evaluated the data using Microsoft Excel 2015. The annual weather in each crop year define the maize germination dynamics because the amount of heat is determinative for the plants. In cooler crop year the weather is prolonged the germination. At the 2015 crop year the weather was cold in the beginning what prolonged the first sowing germination. But the second and third sowing germinated faster. In the 2016 crop year the weather was much favorable for plants so the first sowing germinated faster than in the previous year. After it the weather cooled down, therefore the second and third sowing germinated slower than the last year. The statistical data analysis program determined that there is a significant difference between the early and late sowing date growing dynamics. In 2015 the first sowing date had the highest amount of yield. The second biggest yield was in the average sowing time. The late sowing date has lowest amount of yield. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=germination" title="germination">germination</a>, <a href="https://publications.waset.org/abstracts/search?q=maize" title=" maize"> maize</a>, <a href="https://publications.waset.org/abstracts/search?q=sowing%20date" title=" sowing date"> sowing date</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a> </p> <a href="https://publications.waset.org/abstracts/54322/the-effect-of-annual-weather-and-sowing-date-on-different-genotype-of-maize-zea-mays-l-in-germination-and-yield" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54322.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">231</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">3118</span> Optimized Cropping Calendar and Land Suitability for Maize through GIS and Crop Modelling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marilyn%20S.%20Painagan">Marilyn S. Painagan</a>, <a href="https://publications.waset.org/abstracts/search?q=Willie%20Jones%20B.%20Saliling"> Willie Jones B. Saliling</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper reports an optimized cropping calendar and land suitability for maize in North Cotabato derived from modeling crop productivity over time and space. Using Quantum GIS, eight representative soil types and 0.3o x 0.3o climate grids shapefiles were intersected to form thirty two pedoclimatic zones within the boundaries of the province. Surveys were done to ascertain crop performance and phenological properties on field. Based on these surveys, crop parameters were calibrated specific for a variety of maize. Soil properties and climatic data (daily precipitation, maximum and minimum temperatures) from pedoclimatic zones were loaded to the FAO Aquacrop Water Productivity Model along with the crop properties from field surveys to simulate yield from 1980 to 2010. The average yield per month was computed to come up with the month of planting having the highest and lowest probable yield in a year assuming that all lands were planted with maize. The yield attributes were visualized in the Quantum GIS environment. The study revealed that optimal cropping patterns varied across North Cotabato. Highest probable yield (8000 kg/ha) can be obtained when maize is planted on May and September (sandy clay-loam soils) in the northern part of the province while the lowest probable yield (1000 kg/ha) can be obtained when maize is planted on January, February and March (clay loam soils) at the northern part of the province. Yields are simulated on the basis of varieties currently planted by farmers of North Cotabato. The resulting maps suggest where and when maize is most suitable to achieve high yields. There is a need to ground truth and validate the cropping calendar on field. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aquacrop" title="aquacrop">aquacrop</a>, <a href="https://publications.waset.org/abstracts/search?q=quantum%20GIS" title=" quantum GIS"> quantum GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=maize" title=" maize"> maize</a>, <a href="https://publications.waset.org/abstracts/search?q=cropping%20calendar" title=" cropping calendar"> cropping calendar</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20productivity" title=" water productivity"> water productivity</a> </p> <a href="https://publications.waset.org/abstracts/49265/optimized-cropping-calendar-and-land-suitability-for-maize-through-gis-and-crop-modelling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49265.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">255</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">3117</span> Effects of Chemical and Organic Fertilizer Application on Yield of Herbaceous Crops in Succession</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tarantino%20E.">Tarantino E.</a>, <a href="https://publications.waset.org/abstracts/search?q=Disciglio%20G."> Disciglio G.</a>, <a href="https://publications.waset.org/abstracts/search?q=Gagliardi%20A."> Gagliardi A.</a>, <a href="https://publications.waset.org/abstracts/search?q=Gatta%20G."> Gatta G.</a>, <a href="https://publications.waset.org/abstracts/search?q=Tarantino%20A."> Tarantino A.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fertilizer is a critical input for improving production and increasing crop yields. Consecutive experimental trials during six years (from 2010-2015) were carried out in Apulia region (south-eastern Italy) on seven crops grown in cylinder pots. The aim was to determinate the effects of chemical and organic fertilizer on marketable yield and other parameters of processing tomato (Lycopersicum esculentum L., cv Docet), lettuce (Lactuca sativa L., cv Canasta), cauliflower (Brassica oleracea L., cv Casper), pepper (Capsicum annum L., cv Akron), fennel (Foeniculum vulgare L., cv Tarquinia), eggplant (Solanum melongena L. cv Primato F1) and chard (Beta vulgaris L., Argentata). At harvest the quail-quantitative yield characteristics of each crop were determined. All of the experimental data were subjected to analysis of variance (ANOVA). Results showed that the yields for all of these crops were greater under the chemical system than the organic system whereas quite variable results were generally observed for the other characteristics of the yield. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fertilizers" title="fertilizers">fertilizers</a>, <a href="https://publications.waset.org/abstracts/search?q=herbaceous%20crops" title=" herbaceous crops"> herbaceous crops</a>, <a href="https://publications.waset.org/abstracts/search?q=yield%20characteristics" title=" yield characteristics"> yield characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=succession" title=" succession"> succession</a> </p> <a href="https://publications.waset.org/abstracts/34730/effects-of-chemical-and-organic-fertilizer-application-on-yield-of-herbaceous-crops-in-succession" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34730.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">583</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">3116</span> Weeds Density Affects Yield and Quality of Wheat Crop under Different Crop Densities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ijaz%20Ahmad">Ijaz Ahmad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Weed competition is one of the major biotic constraints in wheat crop productivity. Avena fatua L. and Silybum marianum (L.) Gaertn. are among the worst weeds of wheat, greatly deteriorating wheat quality subsequently reducing its market value. In this connection, two-year experiments were conducted in 2018 & 2019. Different seeding rate wheat viz; 80, 100, 120 and 140 kg ha-1 and different weeds ratio (A. fatua: S. marianum ) sown at the rate 1:8, 2:7, 3:6, 4:5, 5:4, 6:3, 7:2, 8:1 and 0:0 respectively. The weeds ratio and wheat densities are indirectly proportional. However, the wheat seed at the rate of 140 kg ha-1 has minimal weeds interference. Yield losses were 17.5% at weeds density 1:8 while 7.2% at 8:1. However, in wheat density, the highest percent losses were computed on 80 kg ha-1 while the lowest was recorded on 140 kg ha-1. Since due to the large leaf canopy of S. marianum other species can't sustain their growth. Hence, it has been concluded that S. marianum is the hotspot that causes reduction to the yield-related parameters, followed by A. fatua and the other weeds. Due to the morphological mimicry of A. fatua with wheat crop during the vegetative growth stage, it cannot be easily distinguished. Therefore, managing A. fatua and S. marianum before seed setting is recommended for reducing the future weed problem. Based on current studies, it is suggested that sowing wheat seed at the rate of 140 kg ha-1 is recommended to better compete with all the field weeds. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fat%20content" title="fat content">fat content</a>, <a href="https://publications.waset.org/abstracts/search?q=holly%20thistle" title=" holly thistle"> holly thistle</a>, <a href="https://publications.waset.org/abstracts/search?q=protein%20content" title=" protein content"> protein content</a>, <a href="https://publications.waset.org/abstracts/search?q=weed%20competition" title=" weed competition"> weed competition</a>, <a href="https://publications.waset.org/abstracts/search?q=wheat" title=" wheat"> wheat</a>, <a href="https://publications.waset.org/abstracts/search?q=wild%20oat" title=" wild oat"> wild oat</a> </p> <a href="https://publications.waset.org/abstracts/139251/weeds-density-affects-yield-and-quality-of-wheat-crop-under-different-crop-densities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139251.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">207</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">3115</span> Simulation of Corn Yield in Carmen, North Cotabato, Philippines Using Aquacrop Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marilyn%20S.%20Painagan">Marilyn S. Painagan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This general objective of the study was to apply the AquaCrop model to the conditions in the municipality of Carmen, North Cotabato in terms of predicting corn yields in this area and determine the influence of rainfall and soil depth on simulated yield. The study revealed wide disparity in monthly yields as a consequence of similarly varying monthly rainfall magnitudes. It also found out that simulated yield varies with the depth of soil, which in this case was clay loam, the predominant soil in the study area. The model was found to be easy to use even with limited data and shows a vast potential for various farming and policy applications, such as formulation of a cropping calendar. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aquacrop" title="aquacrop">aquacrop</a>, <a href="https://publications.waset.org/abstracts/search?q=evapotranspiration" title=" evapotranspiration"> evapotranspiration</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20modelling" title=" crop modelling"> crop modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20simulation" title=" crop simulation"> crop simulation</a> </p> <a href="https://publications.waset.org/abstracts/49266/simulation-of-corn-yield-in-carmen-north-cotabato-philippines-using-aquacrop-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49266.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">251</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=crop%20yield&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=crop%20yield&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=crop%20yield&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=crop%20yield&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=crop%20yield&page=6">6</a></li> <li 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