Correlation Analysis and Path Analysis on Main Characters and Yield of Maize Hybrids
Zhuo Yu
Abstract
Zhuo Yu
Abstract
[Objective] Main characters affecting ear grain quality of maize were screened out to provide reference for breeding high yielding hybrids. [Method] Correlation analysis and path analysis on main characters of 81 maize hybrids were carried out,and multivariate linear regression equation was established. [Result] Rare ear length,ear axis quality,ear length,100-grain mass and kernel number of per row had larger coefficient of variation,and 100-grain mass,plant height,ear height,growth period,ear axis quality,ear perimeter and kernel number of per row had very significant and significant positive correlation with ear kernel quality. The ear kernel quality had multivariate linear positive correlation with ear height,growth period,ear axis quality,ear rows,kernel number of per row and 100-grain mass. [Conclusion] When new maize hybrids were screened,100-grain mass was put in the first place,and kernel number of per row,growth period,ear axis quality and ear height should be also paid attention.
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[Objective] Main characters affecting ear grain quality of maize were screened out to provide reference for breeding high yielding hybrids. [Method] Correlation analysis and path analysis on main characters of 81 maize hybrids were carried out,and multivariate linear regression equation was established. [Result] Rare ear length,ear axis quality,ear length,100-grain mass and kernel number of per row had larger coefficient of variation,and 100-grain mass,plant height,ear height,growth period,ear axis quality,ear perimeter and kernel number of per row had very significant and significant positive correlation with ear kernel quality. The ear kernel quality had multivariate linear positive correlation with ear height,growth period,ear axis quality,ear rows,kernel number of per row and 100-grain mass. [Conclusion] When new maize hybrids were screened,100-grain mass was put in the first place,and kernel number of per row,growth period,ear axis quality and ear height should be also paid attention.
Key concepts: Hybrid, Path analysis (statistics), Kernel (algebra), Path coefficient, Mathematics, Correlation, Correlation coefficient, Multivariate statistics