Research Article | OPEN ACCESS
Modeling Analysis of Mungbean in Regional Trials with Partial Least Squares Regression
1Juanqin Wang, 1Zhiyong Zhang and 2Xiaoli Gao
1College of Information Engineering
2College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
Advance Journal of Food Science and Technology 2016 11:728-733
Received: June 17, 2015 | Accepted: July 14, 2015 | Published: August 15, 2016
Abstract
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.
Keywords:
Mungbean, partial least squares regression, regional trials, standard regression coefficient, yield model,
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