Analyzing relationship between genetic, geographical factors and protein content of winter wheat at different regional scales
文献类型： 外文期刊
作者： Dong, Yingying 1 ; Wang, Jihua 1 ; Li, Cunjun 1 ; Luo, Juhua 1 ; Wang, Huifang 1 ; Wang, Qian 1 ; Huang, Wenjiang 1 ;
作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
关键词： Protein content;Geographical factors;Genetic factors;Single factor modeling;Multivariate nonlinear regression
期刊名称：GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS, PTS 1 AND 2
ISSN： 1660-9336
年卷期： 2011 年 84-85 卷
页码：
收录情况： SCI
摘要： According to the important status and practical values of geographical factors and genetic factors in protein content estimation of winter wheat, a method analyzing the relationship between factors and protein content was proposed in this paper. In the method, genetic, geographical factors were chosen as independent variables, multivariate nonlinear regression model was introduced to estimate protein content. Firstly, construct one-dimensional nonlinear regression model based on each factor. Secondly, analyze and select sensitive factors on basis of the above simulations. Finally, couple the selected sensitive factors into multivariate nonlinear regression model for protein content estimation. Winter wheat was chosen as experimental subject. The results showed that, at province scale and county scale, the proposed method could not only effectively improve simulation efficiency, but also enhance whole estimation accuracy.
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