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  • 标题:Modeling Analysis of Mungbean in Regional Trials with Partial Least Squares Regression
  • 本地全文:下载
  • 作者:Juanqin Wang ; Zhiyong Zhang ; Xiaoli Gao
  • 期刊名称:Advance Journal of Food Science and Technology
  • 印刷版ISSN:2042-4868
  • 电子版ISSN:2042-4876
  • 出版年度:2016
  • 卷号:11
  • 期号:11
  • 页码:728-733
  • DOI:10.19026/ajfst.11.2771
  • 出版社:MAXWELL Science Publication
  • 摘要:The study is conducted to determine the reactions of different mungbean varieties to the test-environment in regional trials, the agronomic traits of different kinds of mungbean expressed and the impact of different agronomic traits on the output at the same site, ultimately provide improved methods and ideas for mungbean cultivation and help improve the experimental design. Based on the characteristics of experimental samples in regional trials and the data analysis, partial least squares regression is adopted to analyze the experimental data of the national regional trials of mungbean in spring from 2009 to 2011 and derived the production standard regression coefficients graph, established production model analysis of four high-yielding varieties of mungbean between the agronomic traits and the yield. The study is valuable for clarifying the characteristics of different varieties, evaluating varieties objectively. Identifying the main factors affecting yield performance, fully demonstrating the regularity of test data. All would provide improved methods and new ideas for mungbean breeding and the designing of regional pilot programs and provide the basis for the improvement of the production and cultivation techniques.
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