Genetic variability analysis in different F1 combinations in Indian mustard (Brassica juncea L)


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Authors

  • Sharanjeet Kaur Mata Gujri College Fatehgarh Sahib, Punjabi University, Patiala 140406 Punjab, India Author
  • Ravindra Kumar Mata Gujri College (Punjabi University, Patiala), Fatehgarh Sahib 140406, Punjab, India Author
  • Vijay Singh Mata Gujri College (Punjabi University, Patiala), Fatehgarh Sahib 140406, Punjab, India Author
  • Saurabh Gupta Mata Gujri College (Punjabi University, Patiala), Fatehgarh Sahib 140406, Punjab, India Author

https://doi.org/10.56093/job.v13i1.

Keywords:

Character, correlation, heritability, Indian mustard, variability

Abstract

The existence of genetic variability for the selection of improved genotypes is a crucial necessity for crop improvement
program in Indian mustard (Brassica juncea L.) which is important to understand the relationship between attributes for
effective indirect selection of traits. Five diverse parents were crossed in half diallel mating design and made 10 F1
hybrids during winter 2019-2020. With the aim to study the genetic variability and correlation between traits among,
these genotypes and their hybrids were evaluated. Study observed high PCV and GCV by siliquae/ plant. High heritability
along with high genetic advance (GA) was observed for siliquae/ plant, biological yield/ plant and test weight (TW). At
genotypic levels, it was revealed that harvest index (HI) had significant positive correlation with seed yield/ plant. Path
coefficient analysis of yield traits contributing towards seed yield/ plant revealed high positive path coefficient in HI
followed by biological yield/ plant and highly negative path coefficient exhibited in TW followed by siliquae/ plant.

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Submitted

2024-10-14

Published

2026-04-09

Issue

Section

Articles

How to Cite

Genetic variability analysis in different F1 combinations in Indian mustard (Brassica juncea L) (Sharanjeet Kaur, Ravindra Kumar, Vijay Singh, & Saurabh Gupta, Trans.). (2026). Journal of Oilseed Brassica, 13(1), 59-63. https://doi.org/10.56093/job.v13i1.