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Search results for: crop productivity
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text-center" style="font-size:1.6rem;">Search results for: crop productivity</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2505</span> The Impact of Climate Change on Cropland Ecosystem in Tibet Plateau</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Weishou%20Shen">Weishou Shen</a>, <a href="https://publications.waset.org/abstracts/search?q=Chunyan%20Yang"> Chunyan Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhongliang%20Li"> Zhongliang Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The crop climate productivity and the distribution of cropland reflect long-term adaption of agriculture to climate. In order to fully understand the impact of climate change on cropland ecosystem in Tibet, the spatiotemporal changes of crop climate productivity and cropland distribution were analyzed with the help of GIS and RS software. Results indicated that the climate change to the direction of wet and warm in Tibet in the recent 30 years, with a rate of 0.79℃/10 yr and 23.28 mm/10yr respectively. Correspondingly, the climate productivity increased gradually, with a rate of 346.3kg/(hm2•10a), of which, the fastest-growing rate of the crop climate productivity is in Southern Tibet Mountain- plain-valley. During the study period, the total cropland area increased from 32.54 million ha to 37.13 million ha, and cropland has expanded to higher altitude area and northward. Overall, increased cropland area and crop climate productivity due to climate change plays a positive role for agriculture in Tibet. <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=productivity" title=" productivity"> productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=cropland%20area" title=" cropland area"> cropland area</a>, <a href="https://publications.waset.org/abstracts/search?q=Tibet%20plateau" title=" Tibet plateau"> Tibet plateau</a> </p> <a href="https://publications.waset.org/abstracts/7569/the-impact-of-climate-change-on-cropland-ecosystem-in-tibet-plateau" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7569.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">378</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">2504</span> Linkages between Climate Change, Agricultural Productivity, Food Security and Economic Growth</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jih%C3%A8ne%20Khalifa">Jihène Khalifa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study analyzed the relationships between Tunisia’s economic growth, food security, agricultural productivity, and climate change using the ARDL model for the period from 1990 to 2022. The ARDL model reveals a positive correlation between economic growth and lagged agricultural productivity. Additionally, the vector autoregressive (VAR) model highlights the beneficial impact of lagged agricultural productivity on economic growth and the negative effect of rainfall on economic growth. Granger causality analysis identifies unidirectional relationships from economic growth to agricultural productivity, crop production, food security, and temperature variations, as well as from temperature variations to crop production. Furthermore, a bidirectional causality is established between crop production and food security. The study underscores the impact of climate change on crop production and suggests the need for adaptive strategies to mitigate these climate effects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=economic%20growth" title="economic growth">economic growth</a>, <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=agriculture" title=" agriculture"> agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=ARDL" title=" ARDL"> ARDL</a>, <a href="https://publications.waset.org/abstracts/search?q=Granger%20causality" title=" Granger causality"> Granger causality</a>, <a href="https://publications.waset.org/abstracts/search?q=VAR" title=" VAR"> VAR</a> </p> <a href="https://publications.waset.org/abstracts/189244/linkages-between-climate-change-agricultural-productivity-food-security-and-economic-growth" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/189244.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">31</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">2503</span> Drainage Management In A Cascade Hydroponic System: Combination Of Cucumber And Melon Crops</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nikolaos%20Katsoulas">Nikolaos Katsoulas</a>, <a href="https://publications.waset.org/abstracts/search?q=Ioannis%20Naounoulis"> Ioannis Naounoulis</a>, <a href="https://publications.waset.org/abstracts/search?q=Sofia%20Faliagka"> Sofia Faliagka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cascade hydroponic systems have the potential to minimize environmental impact and improve resource efficiency by recycling the nutrient solution drained from a hydroponic (primary-donor) crop to irrigate another (secondary-receiver), less sensitive to salinity crop. However, it remains unclear if the drained solution from the primary crop can fully meet the nutritional requirements of a secondary crop and whether the productivity of the secondary crop is affected. To address this question, a prototype cascade hydroponic system was designed and tested using a cucumber crop as the donor crop and a melon as secondary crop. The performance of the system in terms of productivity and water and nutrient use efficiency was evaluated by measuring plant growth, fresh and dry matter production, nutrients content, and photosynthesis rate in the secondary crop. The amount of water and nutrients used for the primary and secondary crops was also recorded. This work was carried out under the ECONUTRI project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Horizon Europe Grant agreement: 101081858. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hydroponics" title="hydroponics">hydroponics</a>, <a href="https://publications.waset.org/abstracts/search?q=salinity" title=" salinity"> salinity</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20use%20efficiencu" title=" water use efficiencu"> water use efficiencu</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrients%20use%20efficiency" title=" nutrients use efficiency"> nutrients use efficiency</a> </p> <a href="https://publications.waset.org/abstracts/175832/drainage-management-in-a-cascade-hydroponic-system-combination-of-cucumber-and-melon-crops" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175832.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">2502</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">2501</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">2500</span> Productivity and Household Welfare Impact of Technology Adoption: A Microeconometric Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tigist%20Mekonnen%20Melesse">Tigist Mekonnen Melesse</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Since rural households are basically entitled to food through own production, improving productivity might lead to enhance the welfare of rural population through higher food availability at the household level and lowering the price of agricultural products. Increasing agricultural productivity through the use of improved technology is one of the desired outcomes from sensible food security and agricultural policy. The ultimate objective of this study was to evaluate the potential impact of improved agricultural technology adoption on smallholders’ crop productivity and welfare. The study is conducted in Ethiopia covering 1500 rural households drawn from four regions and 15 rural villages based on data collected by Ethiopian Rural Household Survey. Endogenous treatment effect model is employed in order to account for the selection bias on adoption decision that is expected from the self-selection of households in technology adoption. The treatment indicator, technology adoption is a binary variable indicating whether the household used improved seeds and chemical fertilizer or not. The outcome variables were cereal crop productivity, measured in real value of production and welfare of households, measured in real per capita consumption expenditure. Results of the analysis indicate that there is positive and significant effect of improved technology use on rural households’ crop productivity and welfare in Ethiopia. Adoption of improved seeds and chemical fertilizer alone will increase the crop productivity by 7.38 and 6.32 percent per year of each. Adoption of such technologies is also found to improve households’ welfare by 1.17 and 0.25 percent per month of each. The combined effect of both technologies when adopted jointly is increasing crop productivity by 5.82 percent and improving welfare by 0.42 percent. Besides, educational level of household head, farm size, labor use, participation in extension program, expenditure for input and number of oxen positively affect crop productivity and household welfare, while large household size negatively affect welfare of households. In our estimation, the average treatment effect of technology adoption (average treatment effect on the treated, ATET) is the same as the average treatment effect (ATE). This implies that the average predicted outcome for the treatment group is similar to the average predicted outcome for the whole population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Endogenous%20treatment%20effect" title="Endogenous treatment effect">Endogenous treatment effect</a>, <a href="https://publications.waset.org/abstracts/search?q=technologies" title=" technologies"> technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=productivity" title=" productivity"> productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=welfare" title=" welfare"> welfare</a>, <a href="https://publications.waset.org/abstracts/search?q=Ethiopia" title=" Ethiopia"> Ethiopia</a> </p> <a href="https://publications.waset.org/abstracts/19936/productivity-and-household-welfare-impact-of-technology-adoption-a-microeconometric-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19936.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">655</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">2499</span> Climate-Smart Agriculture for Sustainable Maize-Wheat Production: Effects on Crop Productivity, Profitability and Irrigation Water Use</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20K.%20Kakraliya">S. K. Kakraliya</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20D.%20Jat"> R. D. Jat</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20S.%20Jat"> H. S. Jat</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20C.%20Sharma"> P. C. Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20L.%20Jat"> M. L. Jat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The traditional rice-wheat (RW) system in the IGP of South Asia is tillage, water, energy, and capital intensive. Coupled with more pumping of groundwater over the years to meet the high irrigation water requirement of the RW system has resulted in over-exploitation of groundwater. Replacement of traditional rice with less water crops such as maize under climate-smart agriculture (CSA) based management (tillage, crop establishment and residue management) practices are required to promote sustainable intensification. Furthermore, inefficient nutrient management practices are responsible for low crop yields and nutrient use efficiencies in maize-wheat (MW) system. A 7-year field experiment was conducted in farmer’s participatory strategic research mode at Taraori, Karnal, India to evaluate the effects of tillage and crop establishment (TCE) methods, residue management, mungbean integration, and nutrient management practices on crop yields, water productivity and profitability of MW system. The main plot treatments included four combinations of TCE, residue and mungbean integration [conventional tillage (CT), conventional tillage with mungbean (CT + MB), permanent bed (PB) and permanent bed with MB (PB + MB] with three nutrient management practices [farmer’s fertilizer practice (FFP), recommended dose of fertilizer (RDF) and site-specific nutrient management (SSNM)] using Nutrient Expert® as subplot treatments. System productivity, water use efficiency (WUE) and net returns under PB + MB were significantly increased by 25–30%, 28–31% and 35–40% compared to CT respectively, during seven years of experimentation. The integration of MB in MW system contributed ~25and ~ 28% increases in system productivity and net returns compared with no MB, respectively. SSNM based nutrient management increased the mean (averaged across 7 yrs) system productivity by 12- 15% compared with FFP. The study revealed that CSA based sustainable intensification (PB + MB) and SSNM approach provided opportunities for enhancing crop productivity, WUE and profitability of the MW system in India. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Conservation%20Agriculture" title="Conservation Agriculture">Conservation Agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=Precision%20water%20and%20nutrient%20management" title=" Precision water and nutrient management"> Precision water and nutrient management</a>, <a href="https://publications.waset.org/abstracts/search?q=Permanent%20beds" title=" Permanent beds"> Permanent beds</a>, <a href="https://publications.waset.org/abstracts/search?q=Crop%20yields" title=" Crop yields"> Crop yields</a> </p> <a href="https://publications.waset.org/abstracts/123908/climate-smart-agriculture-for-sustainable-maize-wheat-production-effects-on-crop-productivity-profitability-and-irrigation-water-use" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123908.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">132</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">2498</span> Application of Molecular Markers for Crop Improvement</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Monisha%20Isaac">Monisha Isaac</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Use of molecular markers for selecting plants with desired traits has been started long back. Due to their heritable characteristics, they are useful for identification and characterization of specific genotypes. The study involves various types of molecular markers used to select multiple desired characters in plants, their properties, and advantages to improve crop productivity in adverse climatological conditions for the purpose of providing food security to fast-growing global population. The study shows that genetic similarities obtained from molecular markers provide more accurate information and the genetic diversity can be better estimated from the genetic relationship obtained from the dendrogram. The information obtained from markers assisted characterization is more suitable for the crops of economic importance like sugarcane. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=molecular%20markers" title="molecular markers">molecular markers</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20productivity" title=" crop productivity"> crop productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20diversity" title=" genetic diversity"> genetic diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=genotype" title=" genotype"> genotype</a> </p> <a href="https://publications.waset.org/abstracts/69621/application-of-molecular-markers-for-crop-improvement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69621.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">517</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">2497</span> Remote Sensing and GIS Based Methodology for Identification of Low Crop Productivity in Gautam Buddha Nagar District</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shivangi%20Somvanshi">Shivangi Somvanshi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Poor crop productivity in salt-affected environment in the country is due to insufficient and untimely canal supply to agricultural land and inefficient field water management practices. This could further degrade due to inadequate maintenance of canal network, ongoing secondary soil salinization and waterlogging, worsening of groundwater quality. Large patches of low productivity in irrigation commands are occurring due to waterlogging and salt-affected soil, particularly in the scarcity rainfall year. Satellite remote sensing has been used for mapping of areas of low crop productivity, waterlogging and salt in irrigation commands. The spatial results obtained for these problems so far are less reliable for further use due to rapid change in soil quality parameters over the years. The existing spatial databases of canal network and flow data, groundwater quality and salt-affected soil were obtained from the central and state line departments/agencies and were integrated with GIS. Therefore, an integrated methodology based on remote sensing and GIS has been developed in ArcGIS environment on the basis of canal supply status, groundwater quality, salt-affected soils, and satellite-derived vegetation index (NDVI), salinity index (NDSI) and waterlogging index (NSWI). This methodology was tested for identification and delineation of area of low productivity in the Gautam Buddha Nagar district (Uttar Pradesh). It was found that the area affected by this problem lies mainly in Dankaur and Jewar blocks of the district. The problem area was verified with ground data and was found to be approximately 78% accurate. The methodology has potential to be used in other irrigation commands in the country to obtain reliable spatial data on low crop productivity. <p class="card-text"><strong>Keywords:</strong> <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=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=salt%20affected%20soil" title=" salt affected soil"> salt affected soil</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20productivity" title=" crop productivity"> crop productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=Gautam%20Buddha%20Nagar" title=" Gautam Buddha Nagar"> Gautam Buddha Nagar</a> </p> <a href="https://publications.waset.org/abstracts/88822/remote-sensing-and-gis-based-methodology-for-identification-of-low-crop-productivity-in-gautam-buddha-nagar-district" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88822.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">287</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">2496</span> Value-Added Tax Exemptions and Farm-Level Productivity: The Case of Rice, Millet, and Maize in Senegal</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Awa%20Diouf">Awa Diouf</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Since 2004, inputs specific to the agricultural sector have been exempt from VAT in Senegal. This paper measures, using the Naatal Mbay survey, the impact of this reform on agricultural productivity. The survey covers a sample of 3,122 rice, millet and maize farms for the 2016 crop year. The regressions show that tax incentives are ineffective in improving partial productivity of the land factor: the higher the share of the value of exemptions in the higher the production costs, the less productive the operation. The negative effect of the exemptions on productivity is accentuated for the most intensive agricultural area: the Senegal River Delta, and the most intensive crop: irrigated rice. This relationship could stem from a decrease in allocative efficiency: farmers have overinvested in the most accessible inputs. The loose budget constraint syndrome, therefore, explains this result: farmers who benefit more from exemptions reduce their managerial effort. The results suggest a removal of the VAT exemptions applied to finished products and agricultural inputs for a better efficiency of this tax, which typically taxes final consumption and should be neutral for the producer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agricultural%20productivity" title="agricultural productivity">agricultural productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=agricultural%20taxation" title=" agricultural taxation"> agricultural taxation</a>, <a href="https://publications.waset.org/abstracts/search?q=Senegal" title=" Senegal"> Senegal</a>, <a href="https://publications.waset.org/abstracts/search?q=tax%20incentives" title=" tax incentives"> tax incentives</a> </p> <a href="https://publications.waset.org/abstracts/122919/value-added-tax-exemptions-and-farm-level-productivity-the-case-of-rice-millet-and-maize-in-senegal" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122919.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">130</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2495</span> Diversification of Rice-Based Cropping Systems under Irrigated Condition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20H.%20Nanher">A. H. Nanher</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20P.%20Singh"> N. P. Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In India, Agriculture is largely in rice- based cropping system. It has indicated decline in factor productivity along with emergence of multi - nutrient deficiency, buildup of soil pathogen and weed flora because it operates and removes nutrients from the same rooting depth. In designing alternative cropping systems, the common approaches are crop intensification, crop diversification and cultivar options. The intensification leads to the diversification of the cropping system. Intensification is achieved by introducing an additional component crop in a pre-dominant sequential system by desirable adjustments in cultivars of one or all the component crops. Invariably, this results in higher land use efficiency and productivity per unit time Crop Diversification through such crop and inclusion of fodder crops help to improve the economic situation of small and marginal farmers because of higher income. Inclusion of crops in sequential and intercropping systems reduces some obnoxious weeds through formation of canopies due to competitive planting pattern and thus provides an opportunity to utilize cropping systems as a tool of weed management with non-chemical means. Use of organic source not only acts as supplement for fertilizer (nitrogen) but also improve the physico-chemical properties of soils. Production and use of nitrogen rich biomass offer better prospect for supplementing chemical fertilizers on regular basis. Such biological diversity brings yield and economic stability because of its potential for compensation among components of the system. In a particular agro-climatic and resource condition, the identification of most suitable crop sequence is based on its productivity, stability, land use efficiency as well as production efficiency and its performance is chiefly judged in terms of productivity and net return. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=integrated%20farming%20systems" title="integrated farming systems">integrated farming systems</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20intensification" title=" sustainable intensification"> sustainable intensification</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20of%20crop%20intensification" title=" system of crop intensification"> system of crop intensification</a>, <a href="https://publications.waset.org/abstracts/search?q=wheat" title=" wheat"> wheat</a> </p> <a href="https://publications.waset.org/abstracts/23291/diversification-of-rice-based-cropping-systems-under-irrigated-condition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23291.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">424</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">2494</span> Impact of Gender Difference on Crop Productivity: The Case of Decha Woreda, Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Getinet%20Gezahegn%20Gebre">Getinet Gezahegn Gebre</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study examined the impact of gender differences on Crop productivity in Decha woreda of southwest Kafa zone, located 140 Km from Jimma Town and 460 km southwest of Addis Ababa, between Bonga town and Omo River. The specific objectives were to assess the extent to which the agricultural production system is gender oriented, to examine access and control over productive resources, and to estimate men’s and women’s productivity in agriculture. Cross-sectional data collected from a total of 140 respondents were used in this study, whereby 65 were female-headed and 75 were male-headed households. The data were analyzed by using Statistical Package for Social Science (SPSS). Descriptive statistics such as frequency, mean, percentage, t-test and chi-square were used to summarize and compare the information between the two groups. Moreover, Cobb-Douglas(CD) production function was used to estimate the productivity difference in agriculture between male and female-headed households. Results of the study showed that male-headed households (MHH) own more productive resources such as land, livestock, labor and other agricultural inputs as compared to female-headed households (FHH). Moreover, the estimate of CD production function shows that livestock, herbicide use, land size and male labor were statistically significant for MHH, while livestock, land size, herbicides use and female labor were significant variables for FHH. The crop productivity difference between MHH and FHH was about 68.83% in the study area. However, if FHH had equal access to the inputs as MHH, the gross value of the output would be higher by 23.58% for FHH. This might suggest that FHH would be more productive than MHH if they had equal access to inputs as MHH. Based on the results obtained, the following policy implication can be drawn: accessing FHH to inputs that increase the productivity of agriculture, such as herbicides, livestock and male labor; increasing the productivity of land; and introducing technologies that reduce the time and energy of women, especially for enset processing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gender%20difference" title="gender difference">gender difference</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20productivity" title=" crop productivity"> crop productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=GDP" title=" GDP"> GDP</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency" title=" efficiency"> efficiency</a> </p> <a href="https://publications.waset.org/abstracts/163857/impact-of-gender-difference-on-crop-productivity-the-case-of-decha-woreda-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163857.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">74</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">2493</span> The Impact of Gender Difference on Crop Productivity: The Case of Decha Woreda, Ethiopia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Getinet%20Gezahegn%20Gebre">Getinet Gezahegn Gebre</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study examined the impact of gender differences on Crop productivity in Decha woreda of south west Kafa zone, located 140 Km from Jimma Town and 460 km south west of Addis Ababa, between Bonga town and Omo River. The specific objectives were to assess the extent to which the agricultural production system is gender oriented, to examine access and control over productive resources, and to estimate men’s and women’s productivity in agriculture. Cross-sectional data collected from a total of 140 respondents were used in this study, whereby 65 were female headed and 75 were male headed households. The data were analyzed by using Statistical Package for Social Science (SPSS). Descriptive statistics such as frequency, mean, percentage, t-test, and chi-square were used to summarize and compare the information between the two groups. Moreover, Cobb-Douglas(CD) production function was to estimate the productivity difference in agriculture between male and female headed households. Results of the study showed that male headed households (MHH) own more productive resources such as land, livestock, labor, and other agricultural inputs as compared to female headed households (FHH). Moreover, the estimate of CD production function shows that livestock, herbicide use, land size, and male labor were statistically significant for MHH, while livestock, land size, herbicides use and female labor were significant variables for FHH. The crop productivity difference between MHH and FHH was about 68.83% in the study area. However, if FHH had equal access to the inputs as MHH, the gross value of the output would be higher by 23.58% for FHH. This might suggest that FHH would be more productive than MHH if they had equal access to inputs as MHH. Based on the results obtained, the following policy implication can be drawn: accessing FHH to inputs that increase the productivity of agriculture, such as herbicides, livestock, and male labor; increasing the productivity of land; and introducing technologies that reduce the time and energy of women, especially for inset processing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gender%20difference" title="gender difference">gender difference</a>, <a href="https://publications.waset.org/abstracts/search?q=crop" title=" crop"> crop</a>, <a href="https://publications.waset.org/abstracts/search?q=productivity" title=" productivity"> productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency" title=" efficiency"> efficiency</a> </p> <a href="https://publications.waset.org/abstracts/163943/the-impact-of-gender-difference-on-crop-productivity-the-case-of-decha-woreda-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163943.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">96</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">2492</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">2491</span> Impact of Tillage and Crop Establishment on Fertility and Sustainability of the Rice-Wheat Cropping System in Inceptisols of Varanasi, Up, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pramod%20Kumar%20Sharma">Pramod Kumar Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=Pratibha%20Kumari"> Pratibha Kumari</a>, <a href="https://publications.waset.org/abstracts/search?q=Udai%20Pratap%20Singh"> Udai Pratap Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sustainability"> Sustainability</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the Indo-Gangetic Plains of South-East Asia, the rice-wheat cropping system (RWCS) is dominant with conventional tillage (CT) without residue management, which shows depletion of soil fertility and non-sustainable crop productivity. Hence, this investigation was planned to identify suitable natural resource management practices involving different tillage and crop establishment (TCE) methods along with crop residue and their effects, on the sustainability of dominant cropping systems through enhancing soil fertility and productivity. This study was conducted for two consecutive years 2018-19 and 2019-20 on a long-term field experiment that was started in the year 2015-16 taking six different combinations of TCE methods viz. CT, partial conservation agriculture (PCA) i.e. anchored residue of rice and full conservation agriculture (FCA)] i.e. anchored residue of rice and wheat under RWCS in terms of crop productivity, sustainability of soil health, and crop nutrition by the crops. Results showed that zero tillage direct-seeded rice (ZTDSR) - zero tillage wheat (ZTW) [FCA + green gram residue retention (RR)] recorded the highest yield attributes and yield during both the crops. Compared to conventional tillage rice (CTR)-conventional tillage wheat (CTW) [residue removal (R 0 )], the soil quality parameters were improved significantly with ZTDSR-ZTW (FCA+RR). Overall, ZTDSR-ZTW (FCA+RR) had higher nutrient uptake by the crops than CT-based treatment CTR-CTW (R 0 ) and CTR-CTW (RI).These results showed that there is significant profitability of yield and resource utilization by the adoption of FCA it may be a better alternative to the dominant tillage system i.e. CT in RWSC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tillage%20and%20crop%20establishment" title="tillage and crop establishment">tillage and crop establishment</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20fertility" title=" soil fertility"> soil fertility</a>, <a href="https://publications.waset.org/abstracts/search?q=rice-wheat%20cropping%20system" title=" rice-wheat cropping system"> rice-wheat cropping system</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/155340/impact-of-tillage-and-crop-establishment-on-fertility-and-sustainability-of-the-rice-wheat-cropping-system-in-inceptisols-of-varanasi-up-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155340.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">107</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">2490</span> Optimizing Irrigation Scheduling for Sustainable Agriculture: A Case Study of a Farm in Onitsha, Anambra State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ejoh%20Nonso%20Francis">Ejoh Nonso Francis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> : Irrigation scheduling is a critical aspect of sustainable agriculture as it ensures optimal use of water resources, reduces water waste, and enhances crop yields. This paper presents a case study of a farm in Onitsha, Anambra State, Nigeria, where irrigation scheduling was optimized using a combination of soil moisture sensors and weather data. The study aimed to evaluate the effectiveness of this approach in improving water use efficiency and crop productivity. The results showed that the optimized irrigation scheduling approach led to a 30% reduction in water use while increasing crop yield by 20%. The study demonstrates the potential of technology-based irrigation scheduling to enhance sustainable agriculture in Nigeria and beyond. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=irrigation%20scheduling" title="irrigation scheduling">irrigation scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20agriculture" title=" sustainable agriculture"> sustainable agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20moisture%20sensors" title=" soil moisture sensors"> soil moisture sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=weather%20data" title=" weather data"> weather data</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=crop%20productivity" title=" crop productivity"> crop productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=nigeria" title=" nigeria"> nigeria</a>, <a href="https://publications.waset.org/abstracts/search?q=onitsha" title=" onitsha"> onitsha</a>, <a href="https://publications.waset.org/abstracts/search?q=anambra%20state" title=" anambra state"> anambra state</a>, <a href="https://publications.waset.org/abstracts/search?q=technology-based%20irrigation%20scheduling" title=" technology-based irrigation scheduling"> technology-based irrigation scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20resources" title=" water resources"> water resources</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20degradation" title=" environmental degradation"> environmental degradation</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20water%20requirements" title=" crop water requirements"> crop water requirements</a>, <a href="https://publications.waset.org/abstracts/search?q=overwatering" title=" overwatering"> overwatering</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20waste" title=" water waste"> water waste</a>, <a href="https://publications.waset.org/abstracts/search?q=farming%20systems" title=" farming systems"> farming systems</a>, <a href="https://publications.waset.org/abstracts/search?q=scalability" title=" scalability"> scalability</a> </p> <a href="https://publications.waset.org/abstracts/165989/optimizing-irrigation-scheduling-for-sustainable-agriculture-a-case-study-of-a-farm-in-onitsha-anambra-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165989.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">78</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">2489</span> Crop Recommendation System Using Machine Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prathik%20Ranka">Prathik Ranka</a>, <a href="https://publications.waset.org/abstracts/search?q=Sridhar%20K"> Sridhar K</a>, <a href="https://publications.waset.org/abstracts/search?q=Vasanth%20Daniel"> Vasanth Daniel</a>, <a href="https://publications.waset.org/abstracts/search?q=Mithun%20Shankar"> Mithun Shankar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With growing global food needs and climate uncertainties, informed crop choices are critical for increasing agricultural productivity. Here we propose a machine learning-based crop recommendation system to help farmers in choosing the most proper crops according to their geographical regions and soil properties. We can deploy algorithms like Decision Trees, Random Forests and Support Vector Machines on a broad dataset that consists of climatic factors, soil characteristics and historical crop yields to predict the best choice of crops. The approach includes first preprocessing the data after assessing them for missing values, unlike in previous jobs where we used all the available information and then transformed because there was no way such a model could have worked with missing data, and normalizing as throughput that will be done over a network to get best results out of our machine learning division. The model effectiveness is measured through performance metrics like accuracy, precision and recall. The resultant app provides a farmer-friendly dashboard through which farmers can enter their local conditions and receive individualized crop suggestions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crop%20recommendation" title="crop recommendation">crop recommendation</a>, <a href="https://publications.waset.org/abstracts/search?q=precision%20agriculture" title=" precision agriculture"> precision agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=crop" title=" crop"> crop</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/193115/crop-recommendation-system-using-machine-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193115.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">15</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">2488</span> Conservation Agriculture and Precision Water Management in Alkaline Soils under Rice-Wheat Cropping System: Effect on Wheat Productivity and Irrigation Water Use-a Case Study from India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20K.%20Kakraliya">S. K. Kakraliya</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20S.%20Jat"> H. S. Jat</a>, <a href="https://publications.waset.org/abstracts/search?q=Manish%20Kakraliya"> Manish Kakraliya</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20C.%20Sharma"> P. C. Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20L.%20Jat"> M. L. Jat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The biggest challenge in agriculture is to produce more food for the continually increasing world population with in the limited land and water resources. Serious water deficits and reducing natural resources are some of the major threats to the agricultural sustainability in many regions of South Asia. Food and water security may be gained by bringing improvement in the crop water productivity and the amount produced per unit of water consumed. Improvement in the crop water productivity may be achieved by pursuing alternative modern agronomics approaches, which are more friendly and efficient in utilizing natural resources. Therefore, a research trial on conservation agriculture (CA) and precision water management (PWM) was conducted in 2018-19 at Karnal, India to evaluate the effect on crop productivity and irrigation in sodic soils under rice-wheat (RW) systems of Indo-Gangetic Plains (IGP). Eight scenarios were compared varied in the tillage, crop establishment, residue and irrigarion management i.e., {First four scenarios irrigated with flood irrigation method;Sc1-Conventional tillage (CT) without residue, Sc2-CT with residue, Sc3- Zero tillage (ZT) without residue, Sc4-ZT with residue}, and {last four scenarios irrigated with sub-surface drip irrigation method; Sc5-ZT without residue, Sc6- ZT with residue, Sc7-ZT inclusion legume without residue and Sc8- ZT inclusion legume with residue}. Results revealed that CA-flood irrigation (S3, Sc4) and CA-PWM system (Sc5, Sc6, Sc7 and Sc8) recorded about ~5% and ~15% higher wheat yield, respectively compared to Sc1. Similar, CA-PWM saved ~40% irrigation water compared to Sc1. Rice yield was not different under different scenarios in the first year (kharif 2019) but almost half irrigation water saved under CA-PWM system. Therefore, results of our study on modern agronomic practices including CA and precision water management (subsurface drip irrigation) for RW rotation would be addressed the existing and future challenges in the RW system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sub-surface%20drip" title="Sub-surface drip">Sub-surface drip</a>, <a href="https://publications.waset.org/abstracts/search?q=Crop%20residue" title=" Crop residue"> Crop residue</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=Zero%20tillage" title=" Zero tillage"> Zero tillage</a> </p> <a href="https://publications.waset.org/abstracts/123897/conservation-agriculture-and-precision-water-management-in-alkaline-soils-under-rice-wheat-cropping-system-effect-on-wheat-productivity-and-irrigation-water-use-a-case-study-from-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123897.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">120</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">2487</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">269</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">2486</span> Analyzing the Climate Change Impact and Farmer's Adaptability Strategies in Khyber Pakhtunkhwa, Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khuram%20Nawaz%20Sadozai">Khuram Nawaz Sadozai</a>, <a href="https://publications.waset.org/abstracts/search?q=Sonia"> Sonia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The agriculture sector is deemed more vulnerable to climate change as its variation can directly affect the crop’s productivity, but farmers’ adaptation strategies play a vital role in climate change-agriculture relationship. Therefore, this research has been undertaken to assess the Climate Change impact on wheat productivity and farmers’ adaptability strategies in Khyber Pakhtunkhwa province, Pakistan. The panel dataset was analyzed to gauge the impact of changing climate variables (i.e., temperature, rainfall, and humidity) on wheat productivity from 1985 to 2015. Amid the study period, the fixed effect estimates confirmed an inverse relationship of temperature and rainfall on the wheat yield. The impact of temperature is observed to be detrimental as compared to the rainfall, causing 0.07 units reduction in the production of wheat with 1C upsurge in temperature. On the flip side, humidity revealed a positive association with the wheat productivity by confirming that high humidity could be beneficial to the production of the crop over time. Thus, this study ensures significant nexus between agricultural production and climatic parameters. However, the farming community in the underlying study area has limited knowledge about the adaptation strategies to lessen the detrimental impact of changing climate on crop yield. It is recommended that farmers should be well equipped with training and advanced agricultural management practices under the realm of climate change. Moreover, innovative technologies pertinent to the agriculture system should be encouraged to handle the challenges arising due to variations in climate factors. <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=fixed%20effect%20model" title=" fixed effect model"> fixed effect model</a>, <a href="https://publications.waset.org/abstracts/search?q=panel%20data" title=" panel data"> panel data</a>, <a href="https://publications.waset.org/abstracts/search?q=wheat%20productivity" title=" wheat productivity"> wheat productivity</a> </p> <a href="https://publications.waset.org/abstracts/122547/analyzing-the-climate-change-impact-and-farmers-adaptability-strategies-in-khyber-pakhtunkhwa-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122547.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">123</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">2485</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">2484</span> Crop Water Productivity for Sunflower under Different Irrigation Regimes and Plant Spacing, at Gezira Clay Soil, Sudan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20A.%20Eman%20Elsheikh">R. A. Eman Elsheikh</a>, <a href="https://publications.waset.org/abstracts/search?q=Bart%20Schultz"> Bart Schultz</a>, <a href="https://publications.waset.org/abstracts/search?q=Abraham%20Mehari%20Haile"> Abraham Mehari Haile</a>, <a href="https://publications.waset.org/abstracts/search?q=Hussein%20S.%20Adam"> Hussein S. Adam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A field experiment was conducted at Gezira research station farm during the winter season in the third week of November 2012, in WadMedani, Sudan (Lat 14.23 W, Long 33.39 E and altitude 405 m above sea level, in deep cracking alkaline heavy clay Vertisols). The objective of this study was to determine the effect of three different irrigation for 10 days (W1), 15 days (W2) and 20 days (W3) and for two rows of 30 cm (S1) and 40 cm (S2), respectively. The experimental design was split plot with three replicates. The sunflower test variety was Hysun 33 cultivar. The seasonal water applied during the study was 6898, 6647, 5256, 5435, 5214, 5416 m3/ha for W1S1, W1S2, W2S1, W2S2, W3S1 and W3S2 respectively. The seed yield obtained for the above treatment in that sequence was 4208, 5542, 5167, 4579, 2931, 2936 kg/ha. The corresponding computed water productivity was 0.61, 0.82, 0.87, 0.95, 0.54, 0.56 kg/m3. The study clearly indicated that the highest seed yield was obtained when the crop was sown at 40 cm row spacing and was irrigated every 10 days (W1S2), followed by W2S1. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=water%20productivity" title="water productivity">water productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20deficit" title=" water deficit"> water deficit</a>, <a href="https://publications.waset.org/abstracts/search?q=sunflower" title=" sunflower"> sunflower</a>, <a href="https://publications.waset.org/abstracts/search?q=plant%20spacing" title=" plant spacing"> plant spacing</a> </p> <a href="https://publications.waset.org/abstracts/6521/crop-water-productivity-for-sunflower-under-different-irrigation-regimes-and-plant-spacing-at-gezira-clay-soil-sudan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6521.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">349</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">2483</span> Assessing Impacts of Climate Variability and Change on Water Productivity and Nutrient Use Efficiency of Maize in 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> Changes in precipitation, temperature and atmospheric CO2 concentration are expected to alter agricultural productivity patterns worldwide. The interactive effects of soil moisture and nutrient availability are the two key edaphic factors that determine crop yield and are sensitive to climatic changes. The study assessed the potential impacts of climate change on maize yield and corresponding water productivity and nutrient use efficiency under climate change scenarios for the Central Rift Valley of Ethiopia by mid (2041-2070) and end century (2071-2100). Projected impacts were evaluated using climate scenarios generated from four General Circulation Models (GCMs) dynamically downscaled by the Swedish RCA4 Regional Climate Model (RCM) in combination with two Representative Concentration Pathways (RCP 4.5 and RCP8.5). Decision Support System for Agro-technology Transfer cropping system model (DSSAT-CSM) was used to simulate yield, water and nutrient use for the study periods. Results indicate that rainfed maize yield might decrease on average by 16.5 and 23% by the 2050s and 2080s, respectively, due to climate change. Water productivity is expected to decline on average by 2.2 and 12% in the CRV by mid and end centuries with respect to the baseline. Nutrient uptake and corresponding nutrient use efficiency (NUE) might also be negatively affected by climate change. Phosphorus uptake probably will decrease in the CRV on average by 14.5 to 18% by 2050s, while N uptake may not change significantly at Melkassa. Nitrogen and P use efficiency indicators showed decreases in the range between 8.5 to 10.5% and between 9.3 to 10.5%, respectively, by 2050s relative to the baseline average. The simulation results further indicated that a combination of increased water availability and optimum nutrient application might increase both water productivity and nutrient use efficiency in the changed climate, which can ensure modest production in the future. Potential options that can improve water availability and nutrient uptake should be identified for the study locations using a crop modeling approach. <p class="card-text"><strong>Keywords:</strong> <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=climate%20change%20scenario" title=" climate change scenario"> climate change scenario</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrient%20uptake" title=" nutrient uptake"> nutrient uptake</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrient%20use%20efficiency" title=" nutrient use efficiency"> nutrient use efficiency</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/175106/assessing-impacts-of-climate-variability-and-change-on-water-productivity-and-nutrient-use-efficiency-of-maize-in-the-semi-arid-central-rift-valley-of-ethiopia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175106.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">86</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2482</span> Water Productivity as an Indicator of Bioenergetic Sustainability in Sugarcane</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rubens%20Duarte%20Coelho">Rubens Duarte Coelho</a>, <a href="https://publications.waset.org/abstracts/search?q=Tim%C3%B3teo%20Herculino%20da%20Silva%20Barros"> Timóteo Herculino da Silva Barros</a>, <a href="https://publications.waset.org/abstracts/search?q=Jefferson%20de%20Olveira%20Costa"> Jefferson de Olveira Costa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Brazil has an electrical matrix of predominantly renewable origin, with emphasis on water sources, which account for 65.2%, biomass energy for 8.2%, wind for 6.8% and solar for 0.13% of the domestic supply. Among these sources, sugarcane cultivation stands out, aiming both at the production of bioethanol and biomass to supply “clean energy”. However, like all other crops, sugar cane demands a large volume of a natural resource that is increasingly “scarce” in quantity and quality: water. Adequate and strategic water management throughout the entire sugarcane cycle is of fundamental importance, and water productivity can be used to adjust irrigation planning and decision-making, increasing the productivity of stalks, bioethanol, biomass, and sugar. In this way, water productivity is a good indicator for analysis and decision-making considering the sustainability of cultivation, as it allows evaluation of the variation in the ratio between production and the amount of water used, suggesting values that maximize the use of this natural resource. In this context, studies that relate water demand, in this case, expressed by water productivity, with the energy production of this crop, in this case, expressed by the production of bioethanol, biomass and sugar, are fundamental to obtaining an efficient production of renewable energy, which aims at the rational use of natural resources, especially water. The objective of the present work was to evaluate the response of sugarcane varieties subjected to different water availability to obtain better sustainability in bioenergy production, presenting water productivity indices for Bioethanol, Sugar and Biomass. The variety that responded best was RB966928, with a bioethanol yield of 68.7 L Mg-1. Future research should focus on the water response under each of the sugarcane fractions in terms of their elemental composition so that the influence of water on the energy supply of this crop can be better understood. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20matrix" title="energy matrix">energy matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20use" title=" water use"> water use</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=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/175807/water-productivity-as-an-indicator-of-bioenergetic-sustainability-in-sugarcane" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175807.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">76</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">2481</span> Monitoring Land Productivity Dynamics of Gombe State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ishiyaku%20Abdulkadir">Ishiyaku Abdulkadir</a>, <a href="https://publications.waset.org/abstracts/search?q=Satish%20Kumar%20J"> Satish Kumar J</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Land Productivity is a measure of the greenness of above-ground biomass in health and potential gain and is not related to agricultural productivity. Monitoring land productivity dynamics is essential to identify, especially when and where the trend is characterized degraded for mitigation measures. This research aims to monitor the land productivity trend of Gombe State between 2001 and 2015. QGIS was used to compute NDVI from AVHRR/MODIS datasets in a cloud-based method. The result appears that land area with improving productivity account for 773sq.km with 4.31%, stable productivity traced to 4,195.6 sq.km with 23.40%, stable but stressed productivity represent 18.7sq.km account for 0.10%, early sign of decline productivity occupied 5203.1sq.km with 29%, declining productivity account for 7019.7sq.km, represent 39.2%, water bodies occupied 718.7sq.km traced to 4% of the state’s area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=above-ground%20biomass" title="above-ground biomass">above-ground biomass</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamics" title=" dynamics"> dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20productivity" title=" land productivity"> land productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=man-environment%20relationship" title=" man-environment relationship"> man-environment relationship</a> </p> <a href="https://publications.waset.org/abstracts/134221/monitoring-land-productivity-dynamics-of-gombe-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134221.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">145</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">2480</span> The Role of Land Consolidation to Reduce Soil Degradation in the Czech Republic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Miroslav%20Dumbrovsky">Miroslav Dumbrovsky</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper deals with positive impacts of land consolidation on decreasing soil degradation with the main emphasis on soil and water conservation in the landscape. The importance of land degradation is very high because of its impact on crop productivity and many other adverse effects. Soil degradation through soil erosion is causing losses in crop productivity and quality of the environment, through decreasing quality of soil and water (especially water resources). Negative effects of conventional farming practices are increased water erosion, as well as crusting and compaction of the topsoil and subsoil. Soil erosion caused by water destructs the soil’s structure, reduces crop productivity due to deterioration in soil physical and chemical properties such as infiltration rate, water holding capacity, loss of nutrients needed for crop production, and loss of soil carbon. Recently, a new process of complex land consolidation in the Czech Republic has provided a unique opportunity for improving the quality of the environment and sustainability of the crop production by means a better soil and water conservation. The present process of the complex land consolidation is not only a reallocation of plots, but this system consists of a new layout of plots within a certain territory, aimed at establishing the integrated land-use economic units, based on the needs of individual landowners and land users. On the other hand, the interests of the general public and the environmental protection have to be solved, too. From the general point of view, a large part of the Czech landscape shall be reconstructed in the course of complex land consolidation projects. These projects will be based on new integrated soil-economic units, spatially arranged in a designed multifunctional system of soil and water conservation measures, such as path network and a territorial system of ecological stability, according to structural changes in agriculture. This new approach will be the basis of a rational economic utilization of the region which will comply with the present ecological and aesthetic demands at present. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=soil%20degradation" title="soil degradation">soil degradation</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20consolidation" title=" land consolidation"> land consolidation</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20erosion" title=" soil erosion"> soil erosion</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20conservation" title=" soil conservation"> soil conservation</a> </p> <a href="https://publications.waset.org/abstracts/67572/the-role-of-land-consolidation-to-reduce-soil-degradation-in-the-czech-republic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67572.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">356</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">2479</span> Effectiveness of Climate Smart Agriculture in Managing Field Stresses in Robusta Coffee</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrew%20Kirabira">Andrew Kirabira</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study is an investigation into the effectiveness of climate-smart agriculture (CSA) technologies in improving productivity through managing biotic and abiotic stresses in the coffee agroecological zones of Uganda. The motive is to enhance farmer livelihoods. The study was initiated as a result of the decreasing productivity of the crop in Uganda caused by the increasing prevalence of pests, diseases and abiotic stresses. Despite 9 years of farmers’ application of CSA, productivity has stagnated between 700kg -800kg/ha/yr which is only 26% of the 3-5tn/ha/yr that CSA is capable of delivering if properly applied. This has negatively affected the incomes of the 10.6 million people along the crop value chain which has in essence affected the country’s national income. In 2019/20 FY for example, Uganda suffered a deficit of $40m out of singularly the increasing incidence of one pest; BCTB. The amalgamation of such trends cripples the realization of SDG #1 and #13 which are the eradication of poverty and mitigation of climate change, respectively. In probing CSA’s effectiveness in curbing such a trend, this study is guided by the objectives of; determining the existing farmers’ knowledge and perceptions of CSA amongst the coffee farmers in the diverse coffee agro-ecological zones of Uganda; examining the relationship between the use of CSA and prevalence of selected coffee pests, diseases and abiotic stresses; ascertaining the difference in the market organization and pricing between conventionally and CSA produced coffee; and analyzing the prevailing policy environment concerning the use of CSA in coffee production. The data collection research design is descriptive in nature; collecting data from farmers and agricultural extension workers in the districts of Ntungamo, Iganga and Luweero; each of these districts representing a distinct coffee agroecological zone. Policy custodian officers at district, cooperatives and at the crop’s overseeing national authority were also interviewed. <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=food%20security" title=" food security"> food security</a>, <a href="https://publications.waset.org/abstracts/search?q=field%20stresses" title=" field stresses"> field stresses</a>, <a href="https://publications.waset.org/abstracts/search?q=Productivity" title=" Productivity"> Productivity</a> </p> <a href="https://publications.waset.org/abstracts/164898/effectiveness-of-climate-smart-agriculture-in-managing-field-stresses-in-robusta-coffee" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164898.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">57</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">2478</span> Quantile Smoothing Splines: Application on Productivity of Enterprises</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Semra%20Turkan">Semra Turkan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we have examined the factors that affect the productivity of Turkey’s Top 500 Industrial Enterprises in 2014. The labor productivity of enterprises is taken as an indicator of productivity of industrial enterprises. When the relationships between some financial ratios and labor productivity, it is seen that there is a nonparametric relationship between labor productivity and return on sales. In addition, the distribution of labor productivity of enterprises is right-skewed. If the dependent distribution is skewed, the quantile regression is more suitable for this data. Hence, the nonparametric relationship between labor productivity and return on sales by quantile smoothing splines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=quantile%20regression" title="quantile regression">quantile regression</a>, <a href="https://publications.waset.org/abstracts/search?q=smoothing%20spline" title=" smoothing spline"> smoothing spline</a>, <a href="https://publications.waset.org/abstracts/search?q=labor%20productivity" title=" labor productivity"> labor productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20ratios" title=" financial ratios"> financial ratios</a> </p> <a href="https://publications.waset.org/abstracts/60552/quantile-smoothing-splines-application-on-productivity-of-enterprises" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60552.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2477</span> Conservation Agriculture Practice in Bangladesh: Farmers’ Socioeconomic Status and Soil Environment Perspective</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20T.%20Uddin">Mohammad T. Uddin</a>, <a href="https://publications.waset.org/abstracts/search?q=Aurup%20R.%20Dhar"> Aurup R. Dhar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study was conducted to assess the impact of conservation agriculture practice on farmers’ socioeconomic condition and soil environmental quality in Bangladesh. A total of 450 (i.e., 50 focal, 150 proximal and 250 control) farmers from five districts were selected for this study. Descriptive statistics like sum, averages, percentages, etc. were calculated to evaluate the socioeconomic data. Using Enyedi’s crop productivity index, it was found that the crop productivity of focal, proximal and control farmers was increased by 0.9, 1.2 and 1.3 percent, respectively. The result of DID (Difference-in-difference) analysis indicated that the impact of conservation agriculture practice on farmers’ average annual income was significant. Multidimensional poverty index (MPI) indicates that poverty in terms of deprivation of health, education and living standards was decreased; and a remarkable improvement in farmers’ socioeconomic status was found after adopting conservation agriculture practice. Most of the focal and proximal farmers stated about increased soil environmental condition where majority of control farmers stated about constant environmental condition in this regard. The Probit model reveals that minimum tillage operation, permanent organic soil cover, and application of compost and vermicompost were found significant factors affecting soil environmental quality under conservation agriculture. Input support, motivation, training programmes and extension services are recommended to implement in order to raise the awareness and enrich the knowledge of the farmers on conservation agriculture practice. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conservation%20agriculture" title="conservation agriculture">conservation agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20productivity" title=" crop productivity"> crop productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=socioeconomic%20status" title=" socioeconomic status"> socioeconomic status</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20environment%20quality" title=" soil environment quality"> soil environment quality</a> </p> <a href="https://publications.waset.org/abstracts/63697/conservation-agriculture-practice-in-bangladesh-farmers-socioeconomic-status-and-soil-environment-perspective" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63697.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">327</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">2476</span> Crop Productivity, Nutrient Uptake and Apparent Balance for Rice Based Cropping Systems under Improved Crop Varieties and Nutrient Management Practices in Previous Enclaves of Bangladesh</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Md.%20Samim%20Hossain%20Molla">Md. Samim Hossain Molla</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Mazharul%20Anwar"> Md. Mazharul Anwar</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Akkas%20Ali"> Md. Akkas Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Mian%20Sayeed%20Hassan"> Mian Sayeed Hassan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Being detached about 68 years from the mainland, the previous enclaves’ (Chhitmohal) farmers were engaged only in subsistence farming with low agricultural productivity and restricted access to inputs technology. To increase crop productivity for attaining food security by addressing soil status, the experiments were undertaken in 2017 and 2018 in three previous enclaves of Northern Bangladesh i.e. Dasiarchhara of Kurigram district; Dahalakhagrabari of Panchagarh district and Banskata of Lalmonirhat district under On-Farm Research Division, Bangladesh Agricultural Research Institute, Rangpur. The Mustard (var. BARI Sarisha-14)-Boro rice (var. BRRI dhan58)-T. Aman rice (var. BRRI dhan49) cropping pattern using soil test based (STB) fertilizer with cowdung (T1) or recommended fertilizer dose (T2) were tested against existing cropping pattern Fallow-Boro rice (var. BRRI dhan28)-T. Aman rice (var. Swarna) using farmers’ practices fertilizer dose (T3) in six disperse replications at each location maintaining Randomized Complete Block design. Almost all crops yields were relatively higher in T1 followed by T2. Farmers existing pattern with local varieties and imbalance fertilizer (T3) use may be decreased the crop yield. The rice equivalent yield of T1 was 109, 103 and 95% higher than T3 and the gross margin was 164, 153 and 133% higher in T1 than T3 at Dasiarchhara, Dahalakhagrabari and Banskata, respectively. The Benefit Cost Ratio for T1, T2 and T3 were 1.99, 1.78 and 1.28 in Dasiarchhara; 1.93, 1.81 and 1.27 in Dahalakhagrabari and 1.78, 1.71 and 1.25 in Banskata, respectively. There was a remarkable decrease in mineral N, P and K in the topsoil (0–15 cm) of T3 and T2 treatments at Dasiarchhara and Dahalakhagrabari, and a generally less marked decline under the same treatments at Banskata. The same practices (T1) exhibited the greatest nutrients uptake by the test crops. The apparent balance of N, P and K was negative in most cases, where it was less negative in T1 treatment. However, from the experimentation, it is revealed that balanced fertilization (STB) and inclusion of National Agricultural Research Institutes developed improved crops varieties in cropping pattern may increase the crop productivity, farm efficiency and farmer’s income in a remarkable level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cropping%20pattern" title="cropping pattern">cropping pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=fertilizer%20management" title=" fertilizer management"> fertilizer management</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrient%20balance" title=" nutrient balance"> nutrient balance</a>, <a href="https://publications.waset.org/abstracts/search?q=previous%20enclaves" title=" previous enclaves"> previous enclaves</a> </p> <a href="https://publications.waset.org/abstracts/120215/crop-productivity-nutrient-uptake-and-apparent-balance-for-rice-based-cropping-systems-under-improved-crop-varieties-and-nutrient-management-practices-in-previous-enclaves-of-bangladesh" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120215.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">145</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">‹</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%20productivity&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=crop%20productivity&page=3">3</a></li> <li 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