Estimation of genetic variability, correlation and path analysis for yield andyield contributing characters in TM-136 × KMR(E) 16-1 F2 population ofIndian mustard [Brassica juncea L. (Czern and Coss)]

  • B. P. MARUTHI PRASAD Department of Genetics and Plant breeding, College of Agriculture, DharwadUniversity of Agricultural Sciences, Dharwad - 580 005, Karnataka, India
  • B. R. PATIL Department of Genetics and Plant breeding, College of Agriculture, DharwadUniversity of Agricultural Sciences, Dharwad - 580 005, Karnataka, India
  • S. B. REVANAPPA Department of Genetics and Plant breeding, College of Agriculture, DharwadUniversity of Agricultural Sciences, Dharwad - 580 005, Karnataka, India
  • B. N. ARAVIND KUMAR Department of Genetics and Plant breeding, College of Agriculture, DharwadUniversity of Agricultural Sciences, Dharwad - 580 005, Karnataka, India
Keywords: Correlation, Genetic variability, Indian mustard, Path analysis

Abstract

The present study was carried out to estimate the amount of genetic variability, correlation, direct and indirecteffects of yield attributes on yield in F2 population of cross combination TM-136 × KMR(E) 16-1 of Indian mustard. Theexperimental F2 population was laid out during Rabi 2020-21 in an un-replicated trial along with parents. The observationsfor eleven traits were recorded for 300 F2 progeny plants and ten plants from each parent. The range for all the traits revealeda maximum variability. High genotypic and phenotypic coefficient of variation coupled with high heritability and highgenetic advance over mean were observed for the traits viz., yield per plant, primary branches per plant, secondary branchesper plant, racemes per plant, siliqua per raceme suggesting that these traits were controlled by additive gene action and wereless influenced by environment and can be improved through simple selection. The traits, number of primary branches perplant, secondary branches per plant, racemes per plant, siliqua per raceme, siliqua length and 1000-seed weight showed apositive and significant association with the yield. The trait number of secondary branches per plant exhibited the highestdirect positive effect on seed yield per plant. Hence, major emphasis may be given to these traits while developing selectionstrategies.
Published
2021-12-25
How to Cite
PRASAD, B. P. M., PATIL, B. R., REVANAPPA, S. B., & KUMAR, B. N. A. (2021). Estimation of genetic variability, correlation and path analysis for yield andyield contributing characters in TM-136 × KMR(E) 16-1 F2 population ofIndian mustard [Brassica juncea L. (Czern and Coss)]. Journal of Farm Sciences, 34(04), 348-351. https://doi.org/10.61475/jfm.v34i04.150