摘要
研究通过对亚麻12个农艺性状的相关性分析,确定亚麻纤维产量相关显著的农艺性状,利用主成分分析原理进行相关性状的降维处理,消除亚麻纤维产量综合评价中存在的性状间多重共线性影响,对亚麻纤维产量进行综合评价。结果表明,主成分回归法可以有效消除亚麻纤维产量综合评价中出现的性状间多重相关性问题,该法可对亚麻纤维产量进行综合评价,为作物产量的综合评价提供新思路。
The correlation analysis between the 12 agronomic traits of flax in this study, and the flax fiber production related significant agronomic traits are determined. Comprehensive evaluation for flax fiber production based on the principle of using principal component analysis to reduce the dimension related traits, yield-related traits of flax fiber multivariate linear regression analysis. The results showed that the principal component regression method ccould effectively eliminate the multiple correlation among characters of flax production in the comprehensive evaluation. The method can be integrated assessment of flax fiber production. This study provides a new idea and method for the comprehensive evaluation of crop yield.
出处
《东北农业大学学报》
CAS
CSCD
北大核心
2014年第11期22-27,共6页
Journal of Northeast Agricultural University
基金
国家麻类产业技术体系建设专项资金(CARS-19)
国家农业部科技支撑计划基金(2013BAD01B03)
国家自然科学青年基金(31401451)
黑龙江省农科创新青年基金(2012QN009)
哈尔滨市科技创新工程青年基金(2013RFQYJ010)
关键词
亚麻
纤维产量
主成分回归
综合评价
flax
fiber yield
principal component regression analysis
comprehensive evaluation
