Electronic Journal of Plant Breeding
Open Access
SCOPUS
  • Year: 2019
  • Volume: 10
  • Issue: 4

Trait's association, cause and effect analyses in Indian mustard [Brassica juncea (L.) Czern & Coss]

  • Author:
  • Sanghamitra Rout1, Bijaya Sur1, Supratim Sadhu2, Tulsi Saran Ghimiray3, Hossain Ali Mondal4, Lakshmi Hijam5, Moumita Chakraborty5, Suvendu Kumar Roy5,
  • Total Page Count: 13
  • Page Number: 1482 to 1494

1Research Scholar, Department of Genetics and Plant Breeding, UBKV, Pundibari, Cooch Behar, West Bengal, India

2M. Sc. Student, Department of Genetics and Plant Breeding, UBKV, Pundibari, Cooch Behar, West Bengal, India

3Regional Research Station, New Alluvial Zone, Directorate of Research, UBKV, Pundibari, Cooch Behar, West Bengal, India

4Regional Research Station, Terai Zone, Directorate of Research, UBKV, Pundibari, Cooch Behar, West Bengal, India

5Department of Genetics and Plant Breeding, UBKV, Pundibari, Cooch Behar, West Bengal, India

*E-Mail: suvendukumarroy@gmail.com

Online published on 22 January, 2020.

Abstract

In a study carried out with 71 genotypes of Indian mustard under sub-Himalayan condition during rabi 2017–18, it was found that all the genotypes differed significantly for yield and its attributing traits. Both GCV and PCV were found to be higher for height up to first fruiting branch, aphid count and penetration force indicating high variability in the genotypes. High heritability along with high genetic advance was observed for height up to first fruiting branch, primary branches per plant, secondary branches per plant, siliquae per plant and 1000 seed weight. The trait association study revealed that secondary branches per plant and siliquae per plant had positive significant association with seed yield per plant. Path coefficient analysis indicated that penetration force exhibited the highest direct effect on seed yield. Siliquae per plant and secondary branches per plant exhibited high direct positive effect and positive association with seed yield per plant. On the basis of all the eleven traits taken together, the genotype PRD-2013-9 (rank-1) was the best.

Keywords

Variability, Heritability, Genetic Advance, Correlation, Path Analysis