Agricultural Science Digest - A Research Journal
SCOPUS
  • Year: 2022
  • Volume: 42
  • Issue: 5

Genetic variability and trait association in Indian mustard [Brassica juncea (L.) czern and coss]

  • Author:
  • Kashinath Mandal1,*, Aditi Ghosh1, T. Dasgupta2, S. Kundagrami1
  • Total Page Count: 6
  • Page Number: 580 to 585

1Institute of Agricultural Science, University of Calcutta, Kolkata-700 073, West Bengal, India

2School of Agriculture and Rural Development, Ramakrishna Mission Vivekananda Educational and Research Institute, Narendrapur, Ramakrishna Mission Campus, Kolkata-700 103, West Bangal, India

*Corresponding Author: Kashinath Mandal, Institute of Agricultural Science, University of Calcutta, Kolkata-700 073, West Bengal, India, Email: kashinath_pors@yahoo.com

Online Published on 10 November, 2022.

Abstract

Twenty-four released varieties of Indian Mustard were evaluated during rabi 2015–16 and 2016–17 under irrigated environment to study character association for seed yield and its component traits.

Analysis of variance on thirteen quantitative characters was carried out and pooled over the years. Path analysis was carried out using correlation coefficients to know the yield contributing traits.

Significant differences were noticed for all the traits among the genotypes. The genotypic and phenotypic variation is higher for seed yield/plant, 1000 seed weight, secondary branches/plant and total siliquae/plant. Heritability estimate were very high for 1000 seed weight, siliqua length, plant height, seeds/siliqua, total siliquae/plant and days to maturity. Genetic advance as percent of mean were high for seed yield/plant, 1000 seed weight, secondary branches/plant and total siliquae/plant. The correlation of seed yield/plant shows significant positive association with days to maturity, primary branches/plant, secondary branches/plant, total siliquae/plant, siliqua length, seeds/siliqua, 1000 seed weight and length of main shoot. From correlation coefficients and path analysis it appeared that length of main shoot, 1000 seed weight, number of secondary branches/plant and days to maturity were most important yield components having highly positive direct and indirect effects.

Keywords

Brassica juncea, Correlation, GCV, Path analysis, PCV, Variability