Applications of, and limitations to, crop growth simulation models to fit crops and cropping systems to semi-arid environments
1988
Boote, K.J. | Jones, J.W.
The selection of a candidate model should be based on its sensitivity of factors of interest to the researcher, the availability of inputs, the ease with which the model can be used, and the model credibility. If a suitable model for the crop of interest does not exist, present models can be adapted to simulate the crop. A systematic approach followed to convert soybean crop growth model (SOYGRO) to simulate growth and yield of groundnut (PNUTGRO) is described. To illustrate plant breeding applications of crop growth simulation, sensitivity analysis was conducted on various crop genetic traits simulated by PNUTGRO using 21 years of Gainesville weather and 3 planting dates. Simulations with PNUTGRO were done with 4 years of weather from Niamey, Niger, to demonstrate management applications: optimum sowing date, cultivar choice, and sowing density for a semi-arid environment.
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