Estimation of genetic variability, correlation and path coefficient analysis in earlysegregating generation of maize (Zea mays L.)

  • P. RAMA KANTH REDDY Department of Genetics and Plant Breeding, College of Agriculture, Dharwad
  • S. C. TALEKAR All India Coordinated Maize Improvement Projct, MARS, DharwadUniversity of Agricultural Sciences, Dharwad - 580 005 (Karnataka), India
  • G. K. NAIDU All India Coordinated Maize Improvement Projct, MARS, DharwadUniversity of Agricultural Sciences, Dharwad - 580 005 (Karnataka), India
  • S. I. HARLAPUR All India Coordinated Maize Improvement Projct, MARS, DharwadUniversity of Agricultural Sciences, Dharwad - 580 005 (Karnataka), India
Keywords: Correlation, Genetic variability, Maize, Path analysis

Abstract

The present investigation was carried out to assess the extent of genetic variability, character association, directand indirect effects of yield attributes on yield in bi-parental F2 population of DHKN 509 × CM 111. The experiment wasconducted using 421 F2 progeny plants laid out in an un-replicated trial along with parents and F1during Rabi 2020-21. Theobservations were recorded for ten traits in all the F2 plants and ten plants each from parents and F1. It was revealed thatthere was significant variation among the traits studied. The extent of phenotypic coefficient of variation was higher thangenotypic coefficient of variation for all the traits studied. High variability coupled with high heritability and high geneticadvance over mean were observed for number of kernels per row, pith weight and grain yield per plant suggesting that thesetraits are controlled by additive gene action and less influenced by environment and can be improved through simpleselection. The traits viz., cob girth, number of kernels per row, pith weight and shelling per cent recorded positive andsignificant association with grain yield. Pith weight and shelling per cent exhibited highest direct positive effect on grainyield per plant. Hence, it would be rewarding to lay emphasis on these traits while formulating crop improvementprograms.
Published
2021-12-25
How to Cite
REDDY, P. R. K., TALEKAR, S. C., NAIDU, G. K., & HARLAPUR, S. I. (2021). Estimation of genetic variability, correlation and path coefficient analysis in earlysegregating generation of maize (Zea mays L.). Journal of Farm Sciences, 34(04), 357-360. https://doi.org/10.61475/jfm.v34i04.152