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山东间作大豆产量与主要农艺性状关联分析

刘明 卜伟召 杨文钰 武晓玲

中国油料作物学报2018,Vol.40Issue(3):344-351,8.
中国油料作物学报2018,Vol.40Issue(3):344-351,8.DOI:10.7505/j.issn.1007-9084.2018.03.005

山东间作大豆产量与主要农艺性状关联分析

Correlation analysis of yield and agronomic traits of soybean for intercropping in Shangdong

刘明 1卜伟召 1杨文钰 1武晓玲1

作者信息

  • 1. 四川农业大学 农学院 四川省作物带状复合种植工程技术研究中心,四川 成都,611130
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摘要

Abstract

In this study,the characters of intercropping soybean were identified with an aim to screen high yield soybean germplasms for intercropping pattern.The correlation between yield traits and 11 agronomic traits of 50 soybean materials were analyzed by grey correlation degree analysis,and their adaptability and yield stability an-alyzed by GGE-biplot method.The results showed that the variation coefficients and the generalized heritability of agronomic and yield traits were 6.87%-77.32%and 0.62-0.97 in two years respectively.Generalized herita-bility of 9 characteristics was greater than 0.8,such as growth period,vegetative growth stage and hundred-grain weight.The correlation analysis showed that the yield per plant was significantly positively correlated with stem di-ameter,growth period,plant height,node number,branch number,bottom pod height,vegetative growth,100-seed weight,pods per plant,seeds number per plant.The grey correlation degree analysis showed that the order of the correlative degree of main characteristics to yield was stem diameter﹥growth period﹥vegetative growth﹥ pods per plant﹥100-seed weight﹥bottom pod height ﹥seeds number per plant ﹥branch number ﹥node number on main stem ﹥plant height ﹥reproductive growth period.GGE-biplot method analysis showed that Fendou 79,Zhongzuo J7018 and Wandou 30 were suitable for intercropping in Shandong.

关键词

大豆/间作/相关性分析/灰色关联度分析/稳产性

Key words

soybean/intercropping/correlation analysis/gray correlation degree/stability

分类

农业科技

引用本文复制引用

刘明,卜伟召,杨文钰,武晓玲..山东间作大豆产量与主要农艺性状关联分析[J].中国油料作物学报,2018,40(3):344-351,8.

基金项目

国家重点研发计划(2017YFD0101503) (2017YFD0101503)

四川省科技厅育种攻关项目(2016NYZ0031) (2016NYZ0031)

福建省农业科学院创新团队(STIT2017-2-6) (STIT2017-2-6)

中国油料作物学报

OA北大核心CSCDCSTPCD

1007-9084

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