Genetic variability and character association studies for yield and yield traits in Indian mustard (Brassica juncea)
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Authors
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Nandini Guguloth
Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
Author
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Shivangi Saha
Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
Author
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Rohit Kumar Verma
Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
Author
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Aditi Eliza Tirkey
Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
Author
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Arvind Patel
Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
Author
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Divya Prakash
Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
Author
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Kartikeya Srivastava
Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
Author
Keywords:
Correlation, genetic variability, Indian mustard, path analysisAbstract
An experiment for genetic parameters and character association studies for yield and yield traits, was conducted during
the Rabi season 2021-22. Twenty-four Indian mustard genotypes were grown in randomized complete block design
with three replications and observations were recorded for 15 characters. The analysis of variance revealed that all the
traits had significant differences between the treatments. Genotypic coefficient of variation, phenotypic coefficient of
variation, heritability coupled with genetic advance were recorded higher for the harvest index, biological yield, seed
yield/plant, number of secondary branches, main raceme length, siliquae/plant. Genotypic correlation showed that the
harvest index (0.93), seed yield q/ha (0.92), siliquae/plant (0.92), number of secondary branches (0.91) and biological
yield (0.81) had positive significant correlation with seed yield/plant. So, more emphasis should be given to these traits
for selection of genotypes. Genotypic path coefficient analysis revealed that the characters harvest index (0.74),
biological yield (0.44), siliquae/plant (0.42), plant height (0.31) and length of main raceme (0.19) showed the positive
direct effect on seed yield/plant.
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