title: [An ecological model for predicting amylose content in rice grain].
abstract: 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.
authors.affiliation: Hi-Tech Key Laboratory of Information Agriculture of Jiangsu Province, Key Laboratory of Crop Growth Regulation of MOA, Nanjing Agricultural University, Nanjing 210095, China. sxaalwg@tom.com
authors.forename: Weiguo
authors.initials: W
authors.lastname: Li
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhu
authors.forename: Tingbo
authors.initials: T
authors.lastname: Dai
authors.forename: Weixing
authors.initials: W
authors.lastname: Cao
mesh_terms: D000688:Amylose / Q000032:analysis*; D018556:Crops, Agricultural / Q000254:growth & development; D017753:Ecosystem; D008962:Models, Theoretical; D012275:Oryza / Q000737:chemistry* / Q000254:growth & development*
chemical_list: D000688:Amylose