主成分回归法对亚麻纤维产量的综合评价

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。...

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Bibliographic Details
Published in东北农业大学学报 Vol. 45; no. 11; pp. 22 - 27
Main Author 吴建忠
Format Journal Article
LanguageChinese
Published 黑龙江省农业科学院经济作物研究所,哈尔滨,150086 2014
Subjects
主成分回归
亚麻
纤维产量
综合评价
flax
comprehensive evaluation
principal component regression analysis
综合评价
fiber yield
亚麻
主成分回归
纤维产量
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Summary: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。
Bibliography:WU Jianzhong （Institute of Industrial Crops, Heilongjiang Academy of Agricultur- al Sciences, Harbin 150086, China）
23-1391/S
flax;fiber yield;principal component regression analysis;comprehensive evaluation
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.
ISSN:1005-9369