Correlation and path analysis for yield and yielding components in Indian mustard (brassica juncea (l.) czer and coss.)

This study evaluated phenotypic and genotypic associations between seed yield and component traits in Indian mustard (Brassica juncea L.). Results revealed that siliquae per plant (rp=0.756,rg=0.826), secondary branches, and plant height were the primary determinants directly enhancing seed yield. Conversely, extended maturity duration and days to 50% flowering promoted vegetative growth while reducing seeds per siliqua. A key trade-off emerged between seed size and seed count. Crucially, oil content showed a strong negative correlation with yield (rg=-0.878). Selection strategies targeting higher siliquae density and optimal branching are recommended for effective yield improvement in mustard breeding.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23828572
Primary Topic
Agricultural Practices and Plant Genetics
Type
article
Field-Weighted Citation Impact
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article

Correlation and path analysis for yield and yielding components in Indian mustard (brassica juncea (l.) czer and coss.)

Satwik Bisarya
Zenodo (CERN European Organization for Nuclear Research)
Agricultural Practices and Plant Genetics
article

Correlation and path analysis for yield and yielding components in Indian mustard (brassica juncea (l.) czer and coss.)

Satwik Bisarya
article en

Abstract

This study evaluated phenotypic and genotypic associations between seed yield and component traits in Indian mustard (Brassica juncea L.). Results revealed that siliquae per plant (rp=0.756,rg=0.826), secondary branches, and plant height were the primary determinants directly enhancing seed yield. Conversely, extended maturity duration and days to 50% flowering promoted vegetative growth while reducing seeds per siliqua. A key trade-off emerged between seed size and seed count. Crucially, oil content showed a strong negative correlation with yield (rg=-0.878). Selection strategies targeting higher siliquae density and optimal branching are recommended for effective yield improvement in mustard breeding.

Zenodo (CERN European Organization for Nuclear Research)
SAM Global University (IN)
Openalex Percentile: Top 14%
Agricultural Practices and Plant Genetics
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