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Showing 1 to 8 of 8 for “"APSIM"”.

  1. Modelling the effects of mulch application rates on cowpea growth, yield and soil water content using APSIM

    … Agricultural Production Systems Simulator (APSIM) is one such model that continues to be applied and adapted to meet this challenge. The APSIM model was used to assess the impact of different mulch application rates on cowpea grown under dry conditions in Vhembe district of South Africa.The …

    venda Repository record for Modelling the effects of mulch application rates on cowpea growth, yield and soil water content using APSIM (opens in a new tab)

  2. Simulating the effects of nitrogen and phosphorus on the growth and yield of maize in Vhembe District, Limpopo Province

    … in Agricultural Production Systems Simulator (APSIM) to predict the response of maize toN andP applications as observed in the field. The study was conducted over two seasons, 2005/2006 and 2006/2007. The study evaluated the biomass production, grain yield, plant tissue N and p content and soil …

    venda Repository record for Simulating the effects of nitrogen and phosphorus on the growth and yield of maize in Vhembe District, Limpopo Province (opens in a new tab)

  3. Interactive effects of n fertilization rate, cultivars and planting date under climate change on maize (zea mays l.) yield using crop simulation and statistical downscaling of climate models

    … homogeneity, and trends using ClimPACT2. The APSIM-Maize v7.9 and CERES-Maize v4.7 models were calibrated using rainfed experimental site data. Days after planting (DAP) to anthesis, and maturity, grain and biomass yield, LAI and soil water content measurements were used to calibrate the CSMs. …

    zambia Repository record for Interactive effects of n fertilization rate, cultivars and planting date under climate change on maize (zea mays l.) yield using crop simulation and statistical downscaling of climate models (opens in a new tab)

  4. Using crop simulation to optimize variable rate experimentation

    … to optimize OFE. To address those questions, the APSIM crop growth model was used to simulate the concept of running on-field trials, use that information to calculate the Economic Optimum Nitrogen Rate (EONR), and finally use that EONR in a regular crop production. Spatially variable layers of …

    uiuc Repository record for Using crop simulation to optimize variable rate experimentation (opens in a new tab)

  5. Modelling the impact of future climate change on subregional wheat production in the Western Cape

    … is produced. To address this heterogeneity, the APSIM crop model was applied to assess future climate impacts on wheat in 21 relatively homogeneous farming areas (RHFAs) across the province.

    cape-town Repository record for Modelling the impact of future climate change on subregional wheat production in the Western Cape (opens in a new tab)

  6. Impact of drought on grape yields in the Western Cape, South Africa

    … (Agricultural Production Systems sIMulator, APSIM) in simulating the grape yield at farm scale and investigating the sensitivity of yields to drought, with and without irrigation was evaluated.

    cape-town Repository record for Impact of drought on grape yields in the Western Cape, South Africa (opens in a new tab)

  7. Crop modeling for assessing and mitigating the impacts of extreme climatic events on the US agriculture system

    … the Agricultural Production Systems sIMulator (APSIM) and running an ensemble of simulations at typical farms from the US Midwest. Results show that current parameterizations in most models favor the use of daylight temperature even though the algorithm was designed for using daily mean …

    purdue-thes Repository record for Crop modeling for assessing and mitigating the impacts of extreme climatic events on the US agriculture system (opens in a new tab)

  8. Modelling impacts of climate variability and change on wheat cropping across New South Wales

    … period 1961-2000. A crop simulation model (APSIM) driven by statistical downscaling data was used to simulate wheat productivity and water use efficiency under the CMIP5 multimodel ensemble projections across the NSW wheat belt. Despite an acceleration of crop development and shortening of …

    uts Repository record for Modelling impacts of climate variability and change on wheat cropping across New South Wales (opens in a new tab)