水稻籽粒直链淀粉含量的生态模型研究

An ecological model for predicting amylose content in rice grain

在中国、日本和泰国不同生态环境下进行了多品种籼稻和粳稻的种植试验 ,通过分析水稻籽粒直链淀粉含量与纬度、海拔、温度、太阳辐射等气候生态因子的相互关系 ,确立了影响水稻籽粒直链淀粉积累的主要气候因子函数 ,并使用权重系数进一步修订各个气候生态因子对籽粒直链淀粉的作用 ,构建出基于生态效应 (综合气候因子函数 )的水稻籽粒直链淀粉含量预测模型 .利用不同年份、不同生态点和不同品种类型的试验资料对所建模型进行了检验 ,籼稻和粳稻籽粒直链淀粉含量的预测误差 (RMSE)平均分别为0 4 %和 0 5% ;籼稻和粳稻种植区的预测误差 (RMSE)平均为 0 39%和 0 50 % ,表明模型具有较好的预测性和实用性 .

By planting rice varieties Indica and Japonica under different ecological environments in China,Japan and Thailand,this study analyzed the relationships between the grain amylose content of test varieties and the environmental factors including latitude,altitude,temperature and solar radiation during grain filling period,established the factor driven equations for amylose accumulation in rice grain,and developed an ecological model for predicting rice grain amylose content.The model was validated by using the data of different years,sites and varieties,with the RMSE being 0.4% and 0.5% for the grain amylose content of Indica and Japonica,and 0.39% and 0 50% for their planting areas,respectively.The results indicated that the model was accurate and applicable.