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结构方程模型在冬小麦农艺性状与产量关系分析中的应用

郑立飞 尚一斐 李学军 冯浩 魏永胜

作物学报2017,Vol.43Issue(9):1395-1400,6.
作物学报2017,Vol.43Issue(9):1395-1400,6.DOI:10.3724/SP.J.1006.2017.01395

结构方程模型在冬小麦农艺性状与产量关系分析中的应用

Structural Equation Model for Analyzing Relationship between Yield and Agronomic Traits in Winter Wheat

郑立飞 1尚一斐 1李学军 2冯浩 3魏永胜4

作者信息

  • 1. 西北农林科技大学理学院,陕西杨凌 712100
  • 2. 西北农林科技大学农学院,陕西杨凌 712100
  • 3. 西北农林科技大学国家节水灌溉杨凌技术研究中心,陕西杨凌 712100
  • 4. 西北农林科技大学生命科学学院,陕西杨凌 712100
  • 折叠

摘要

Abstract

This study aimed at understanding the relationship between winter wheat yield and major agronomic traits using struc-tural equation model. The parameters collected from the 2010–2011 National Winter Wheat Region Trail for Upper Yangtze River Group (19 varieties in 19 locations) were grain yield (GY), grain number per spike (GNP), density of basic seedlings (BS), spike number per ha (SN), growth duration (GD), thousand-grain weight (TGW), and plant height (PH). The variance coefficient in structural equation model showed a trend of GY > GNP > SN > BS > PH > TGW > GD. According toPearson correlation, the correlation levels with yield wasGNP > BS > SN > GD > TGW > PH. The effect of a single trait on yield was SN > GNP > TGW > BS > GD > PH according to multiple regression analysis and BS > GNP > TGW > SN > PH > GD according to the sum of direct and indirect effects in structural equation model. Both direct and indirect effects of agronomic traits in winter wheat on yield can be explained by structural equation model. As a prior experimental model, structural equation model can be used to analysis the complex relationship between crop physiological properties and wheat yield. Our results suggest that large- and multi-spikes need to be considered simultaneously in winter wheat breeding.

关键词

冬小麦/产量/农艺性状/结构方程模型

Key words

Winter wheat/Yield/Agronomic traits/Structural equation model

引用本文复制引用

郑立飞,尚一斐,李学军,冯浩,魏永胜..结构方程模型在冬小麦农艺性状与产量关系分析中的应用[J].作物学报,2017,43(9):1395-1400,6.

基金项目

本研究由国家高技术研究发展计划(863计划)项目(2013AA102904), 西北农林科技大学基本科研业务费专项资金(2014YB023)和西北农林科技大学本科优质课程建设项目资助. This study was supported by the National High Technology Research and Development Program of China (2013AA102904), the Special Funds for Research Activities in Northwest A&F University (2014YB023), and the Quality Curriculum project in Northwest A&F University. (863计划)

作物学报

OA北大核心CSCDCSTPCD

0496-3490

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