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[Objectives] This study was conducted to give play to the yield-increasing potential of new broad bean varieties. [Methods] The correlation analysis and principal component analysis of eight main agronomic traits of 15 autumn-sown broad bean varieties in 2017-2018 were carried out. [Results] There were extremely complicated correlations between the agronomic traits. Among the various agronomic traits, the number of pods per plant showed a significant negative correlation from the number of seeds per pod(P<0.05), and significant negative correlations with pod length and 100-grain weight(P<0.01). The number of seeds per pod was significantly positively correlated with pod length(P<0.01). The 100-grain weight of broad beans was significantly positively correlated with the pod length(P<0.01), and was significantly negatively correlated with the number of pods per plant(P<0.01). Three principal components were established by principal component analysis, and the contribution rate of the first principal component was the highest, which was 40.18%. The contribution rates of the second principal component and the third principal component to the total variance were 24.08% and 13.55%, respectively. The score equations of the principal components were derived. [Conclusions] This study provides a theoretical reference for the application and promotion of new varieties of autumn broad beans.
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篇名 Correlation Analysis and Principal Component Analysis of Eight Agronomic Traits of Autumn Broad Beans (Vicia faba L.)
来源期刊 农业生物技术:英文版 学科 数学
关键词 VICIA faba L. AGRONOMIC TRAIT Correlation ANALYSIS Principal component ANALYSIS
年,卷(期) 2019,(6) 所属期刊栏目
研究方向 页码范围 23-26
页数 4页 分类号 O17
字数 语种
DOI
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VICIA
faba
L.
AGRONOMIC
TRAIT
Correlation
ANALYSIS
Principal
component
ANALYSIS
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研究分支
研究去脉
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期刊影响力
农业生物技术:英文版
双月刊
2164-4993
合肥市农科南路40号省农科院老水产所30
出版文献量(篇)
766
总下载数(次)
7
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0
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