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Acta Agron Sin ›› 2017, Vol. 43 ›› Issue (09): 1395-1400.doi: 10.3724/SP.J.1006.2017.01395

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

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

ZHENG Li-Fei 2,SHANG Yi-Fei 2,LI Xue-Jun3,FENG Hao4,WEI Yong-Sheng1,*   

  1. 1 College of Life Sciences, Northwest A&F University, Yangling 712100, China;2 College of Science, Northwest A&F University, Yangling 712100, China; 3 College of Agronomy, Northwest A&F University, Yangling 712100, China; 4 China Water Saving Irrigation Institute, Northwest A&F University, Yangling 712100, China
  • Received:2016-12-07 Revised:2017-05-10 Online:2017-09-12 Published:2017-06-05
  • Contact: Wei yonghseng, E-mail: wysh70@nwsuaf.edu.cn E-mail:zhenglifei@nwsuaf.edu.cn
  • Supported by:

    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.

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Abstract:

This study aimed at understanding the relationshipbetween winterwheat yield andmajor agronomic traits using structural 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 ofGY > GNP > SN > BS > PH > TGW > GD. According toPearson correlation, the correlation levels with yield was GNP > 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.

Key words: Winter wheat, Yield, Agronomic traits, Structural equation model

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