2015•Anhui nongye kexueRequires access

Correlation Analysis and Path Analysis on Main Characters and Yield of Maize Hybrids

Zhuo Yu

Open publisher page 0 citations

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.

About this research paper

What this paper is about

[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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Hybrid, Path analysis (statistics), Kernel (algebra), Path coefficient, Mathematics, Correlation, Correlation coefficient, Multivariate statistics

Related papers

Back to paper searchBrowse research topicsOriginal source
Correlation Analysis and Path Analysis on Main Characters and Yield of Maize Hybrids — Research Paper | ScholarLens