2018International Journal of Current Microbiology and Applied SciencesOpen access

Association and Path Analysis of Yield and Yield Attributing Traits in Sesame (Sesamum indicum L.)

Bhagwat Singh, Rjani Bisen

Open full text 3 citations

Abstract

Correlation and path coefficient analysis were carried out for yield and yield attributing traits in 60 genotypes of sesame during 2018. The genotypic correlation coefficients were found to be of relatively higher magnitude than phenotypic correlation coefficient, indicating strong inherent correlation between traits. The seed yield/plant exhibited positive and significant correlation with days to flower initiation, days to 50% flowering, number of primary branches per plant, number of secondary branches per plant and number of capsules per plant both at genotypic and phenotypic levels. Path analysis revealed that, days to flower initiation and number of capsules per plant exhibited highest direct effect on seed yield per plant. This suggests that selection for this component characters can help in improvement of seed yield in sesame.

Open-access reader

About this research paper

What this paper is about

Correlation and path coefficient analysis were carried out for yield and yield attributing traits in 60 genotypes of sesame during 2018. The genotypic correlation coefficients were found to be of relatively higher magnitude than phenotypic correlation coefficient, indicating strong inherent correlation between traits. The seed yield/plant exhibited positive and significant correlation with days to flower initiation, days to 50% flowering, number of primary branches per plant, number of secondary branches per plant and number of capsules per plant both at genotypic and phenotypic levels. Path analysis revealed that, days to flower initiation and number of capsules per plant exhibited highest direct effect on seed yield per plant. This suggests that selection for this component characters can help in improvement of seed yield in sesame.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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

Correlation and path coefficient analysis were carried out for yield and yield attributing traits in 60 genotypes of sesame during 2018. The genotypic correlation coefficients were found to be of relatively higher magnitude than phenotypic correlation coefficient, indicating strong inherent correlation between traits. The seed yield/plant exhibited positive and significant correlation with days to flower initiation, days to 50% flowering, number of primary branches per plant, number of secondary branches per plant and number of capsules per plant both at genotypic and phenotypic levels. Path analysis revealed that, days to flower initiation and number of capsules per plant exhibited highest direct effect on seed yield per plant. This suggests that selection for this component characters can help in improvement of seed yield in sesame.

Key concepts: Sesamum, Path coefficient, Path analysis (statistics), Yield (engineering), Biology, Correlation, Horticulture, Correlation coefficient

Related papers

Back to paper searchBrowse research topicsOriginal source
Association and Path Analysis of Yield and Yield Attributing Traits in Sesame (Sesamum indicum L.) — Research Paper | ScholarLens