نتایج جستجو برای: apsim maize
تعداد نتایج: 36702 فیلتر نتایج به سال:
The Agricultural Production Systems Simulator (APSIM) is a modular modelling framework that has been developed by the Agricultural Production Systems Research Unit in Australia. APSIM was developed to simulate biophysical process in farming systems, in particular where there is interest in the economic and ecological outcomes of management practice in the face of climatic risk. The paper outlin...
Declining soil fertility and climatic extremes are among major problems for agricultural production in most dryland agro-ecologies of sub-Saharan Africa. In response, the agroforestry technology intercropping Gliricidia (Gliricidia sepium (Jacq.)) Maize (Zea mays L.) was developed to complement conventional management technologies. However, diversified information on profitability Gliricidia-Ma...
Drought is an enduring abiotic constraint to stable and consistent maize productivity under climate change, especially for low rainfall regions with limited irrigation. One adaptation severe drought using drought-tolerant (DT) hybrids. Here, we characterize differences between conventional DT hybrids in terms of yield water-use efficiency conditions at a regional scale the Texas High Plains (TH...
Soil evaporation (Es) and crop transpiration (Tc) are important components of water balance in cropping systems. Comparing the accurate calculation by models Es Tc to measured has significant advances optimal configuration resource evaluation accuracy estimating consumption. To evaluate adaptation APSIM (Agricultural Production Systems simulator) calculating Nanjing, model parameters, including...
The Agricultural Production Systems Simulator (APSIM) is a mature and stable modelling framework used widely in Australia and elsewhere in the domain of farming systems research and extension. It is capable of simulating a diverse range of farming systems including broadacre dryland and irrigated cropping, small holder farming and on-farm agroforestry systems. This includes the interaction of t...
Goals of the Crop Modelers during this Workshop: 1) to calibrate and intercompare multiple crop models (APSIM, DSSAT, INFOCROP, and STICS) against rice and wheat data at sites in South Asia, 2) to simulate growth and yield sensitivity of those four crop models for rice and wheat to temperature and carbon dioxide levels, and 3) to demonstrate the process of predicting district-level yield of pea...
Cultivar and sowing date selection are major factors in determining the yield potential of any crop region. To explore how climate change affects these choices, this study performed a regional scale analysis using well-validated APSIM-maize model for Northeast China Plain (NEC) which is leading maize (Zea mays L.) producing area China. Results indicated that high temperature had significantly n...
Bioenergy sorghum is targeted for production in water-limited annual cropland therefore traits that improve plant water capture, water use efficiency, and resilience to water deficit are necessary to maximize productivity. A crop modeling framework, APSIM, was adapted to predict the growth and biomass yield of energy sorghum and to identify potentially useful traits for crop improvement. APSIM ...
The evaluation of climatic change impact on maize grain and biomass yield under different N management practices through a well-calibrated validated APSIM model in Vertisol central India has been made. Climate scenarios were derived from seven global climate models (GCM) for two representative concentration pathways (RCPs), i.e. RCP4.5 RCP8.5, two-time slices, 2050 2080. five scenarios, namely ...
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