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.

为特定的播种日期选择合适的基因型可能有助于提高木薯的生产力。CSM–MANIHOT–木薯模型是支持作物管理决策的新工具。但是，在任何应用程序之前探索模型的潜力很重要。这项研究的目的是评估CSM–MANIHOT–木薯模型，以模拟不同种植日期的木薯基因型表现。在最佳条件下，对泰国孔敬大学农业学院的实验农场进行了四种木薯基因型和八种播种日期的试验。记录土壤和天气状况，作物管理和作物性状的数据。使用三个种植日期的实验数据确定了品种参数，其余五个播种日期用于模型评估。还使用2003年至2018年的历史天气数据对不同播种日期进行了情景分析。校准结果表明，模拟和观察到的物候与作物性状之间有很好的一致性。基于d指数的模型评估显示，模拟的和观察到的总作物，茎和贮藏根的干重之间有很好的一致性，几乎所有四种基因型和五个播种日期的值均大于0.8。该模型为最终作物总干物质和储藏根的产量提供了可接受的输出。CSM–MANIHOT–木薯模型的情景分析结果和实际实验结果均基于最终作物总生物量将Kasetsart 50和CMR38–125–77列为前两种基因型之一，