BIOINFOLET - A Quarterly Journal of Life Sciences
Web of Science
  • Year: 2012
  • Volume: 9
  • Issue: 4

Genetic variability, correlation and path co-efficient analysis for grain yield in rice (Oryza sativa L.) genotypes

  • Author:
  • Pankaj Bhatia, Rajinder Kumar Jain, Vijay Kumar Chowdhury
  • Total Page Count: 6
  • Page Number: 536 to 541

Department of Biotechnology and Molecular Biology, College of Basic Sciences, CCS Haryana Agricultural University, Hisar-125004 (Haryana), India.

*Present Address: Department of Biotechnology, Manav Bharti University, Solan-173229 (Himachal Pardesh), India

Online published on 20 December, 2012.

Abstract

Population of 211 genotypes of Azucena x HBC19 F5 rice was assessed to compute variability, correlation and path coefficient. Productive tillers per plant exhibited highest GCV and PCV estimates followed by kernel breadth, yield/plant and 1000 grain weight indicating that greater amount of variability prevailed for these traits with in F5 population. Productive tillers per plant and yield per plant had high estimates for both heritability and genetic advance. Kernel length showed lowest estimates both for heritability and genetic advance. The grain yield exhibited positive association with plant height, productive tillers per plant, 1000-grain weight and length/breadth ratio The path analysis revealed highest positive direct effect of productive tillers on yield.

Keywords

heritability, path analysis, phenotypic correlation, Azucena, yield, variability, Basmati