ESTIMATION OF GENETIC PARAMETERS FOR YIELD AND YIELD CONTRIBUTING CHARACTERS IN F4 GENERATION OF WHEAT (Triticum aestivum L)

PRATIK KUMAR¹*, G.M. LAL^2
1Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, 211007, Uttar Pradesh, India
²Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, 211007, Uttar Pradesh, India
* Corresponding Author : masihpratik@gmail.com

Received : 09-06-2018     Accepted : 22-06-2018     Published : 30-06-2018
Volume : 10     Issue : 12       Pages : 6385 - 6386
Int J Agr Sci 10.12 (2018):6385-6386

Keywords : Genetic variability, PCV, GCV, Heritability, Genetic Advance, Wheat
Academic Editor : Dr Abhinav Dayal, Dr Namburi Hari Satyanarayana
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, 211007, Uttar Pradesh, India
Author Contribution : All author equally contributed

Estimation of genetic parameters form the basis for selection criteria and has crucial role in the improvement in yield. The research was conducted in Rabi 2016-17 at the Field Experimentation Centre of Department of Genetics and Plant Breeding comprising 30 genotypes of wheat with three replications in randomized block design to study genetic variability, heritability and genetic advance. Analysis of variance exhibited significant differences among 30 genotypes for the characters studied. The values of PCV were higher than those of GCV indicating apparent variation not only due to genotypes but also due to the influence of environment. The highest value of GCV and PCV was recorded for biological yield. High heritability associated with high genetic advance was observed for plant height determining additive gene action in the expression of these traits. Therefore, these traits can be improved by mass selection based on progeny testing.

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