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Performance of a model in simulating growth and stability for cassava grown after rice
Agronomy Journal ( IF 2.1 ) Pub Date : 2021-04-23 , DOI: 10.1002/agj2.20687
Nateetip Sawatraksa 1 , Poramate Banterng 1, 2 , Sanun Jogloy 1, 2 , Nimitr Vorasoot 1 , Leidy Patricia Moreno Cadena 3, 4, 5, 6 , Gerrit Hoogenboom 3, 4
Affiliation  

Selecting the appropriate genotype for growing cassava (Manihot esculenta Crantz) after rice (Oryza sativa L.) can help increase the supply of cassava and improve land use efficiency. However, conducting the selection requires data from many years of multi-environment yield trials. A systems analysis approach using crop models can support this process. This study aimed to evaluate a potential application of the Cropping System Model (CSM)-MANIHOT-Cassava in determining genotype stability across different upper paddy field conditions when planted following rice. Four cassava genotypes, that is, Kasetsart 50, Rayong 9, Rayong 11, and CMR38-125-77, were evaluated for the six different environments in Thailand from the 2015 through 2018 growing seasons. The data required for the model were recorded, including biomass and yield. The cultivar coefficients of the CSM-MANIHOT-Cassava model for the four genotypes were calibrated and evaluated with the experimental data. The model was then run for historical weather data from 1988 to 2018 for the six environments for production under rain-fed conditions in upper paddy fields following rice. The overall results showed that the model was able to simulate biomass and yield of the four cassava genotypes quite well when compared to the experimental data. The model identified the same stable genotypes as presented in the actual trials. The genotype CMR38-125-77 was found to be a stable genotype and had the highest mean performance for both the actual yield trials and the simulation study. Therefore, the CSM-MANIHOT-Cassava model could be used to help identify the favorable genotype for planting in various paddy field conditions after rice harvest.

中文翻译:

水稻后种木薯生长和稳定性模拟模型的性能

选择合适的基因型在水稻 ( Oryza sativa ) 之后种植木薯 ( Manihot esculenta Crantz)L.) 有助于增加木薯供应,提高土地利用效率。然而,进行选择需要来自多年多环境产量试验的数据。使用作物模型的系统分析方法可以支持这一过程。本研究旨在评估种植系统模型 (CSM)-MANIHOT-木薯在确定水稻后种植时不同上部稻田条件的基因型稳定性的潜在应用。对泰国 2015 年至 2018 年生长季节的六种不同环境评估了四种木薯基因型,即 Kasetsart 50、Rayong 9、Rayong 11 和 CMR38-125-77。记录模型所需的数据,包括生物量和产量。四种基因型的 CSM-MANIHOT-Cassava 模型的栽培品种系数用实验数据进行校准和评估。然后运行该模型以获取 1988 年至 2018 年的六种环境的历史天气数据,用于在水稻之后的上层稻田雨养条件下生产。总体结果表明,与实验数据相比,该模型能够很好地模拟四种木薯基因型的生物量和产量。该模型确定了与实际试验中呈现的相同的稳定基因型。发现基因型 CMR38-125-77 是一种稳定的基因型,在实际产量试验和模拟研究中均具有最高的平均性能。所以,
更新日期:2021-04-23
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