Selecting the appropriate genotypes for particular planting dates may help increase cassava productivity. The CSM–MANIHOT–Cassava model is a new tool to support decision making for crop management. However, it is important to explore the potential of a model prior to any application. The objective of this study was to evaluate the CSM–MANIHOT–Cassava model in simulating the performance of cassava genotypes for different planting dates. An experiment with four cassava genotypes and eight planting dates was conducted on the experimental farm of the Faculty of Agriculture at Khon Kaen University, Thailand, under optimum conditions. The data for soil and weather conditions, crop management, and crop traits were recorded. The cultivar parameters were determined using experimental data for three planting dates, while the remaining five planting dates were used for model evaluation. A scenario analysis for different planting dates using historical weather data from 2003 to 2018 was also conducted. The calibration results showed a good agreement between simulated and observed phenology and crop traits. Model evaluation based on the d-index showed a good agreement between simulated and observed total crop, stem, and storage root dry weights with values above 0.8 for almost all four genotypes and five planting dates. The model provided acceptable outputs for final total crop dry matter and storage root yield. The results from both the scenario analysis with the CSM–MANIHOT–Cassava model and the actual experiment classified Kasetsart 50 and CMR38–125–77 as one out of the top two genotypes based on final total crop biomass, demonstrating the potential of the model to help identify promising cassava genotypes.
Read full abstract