Agricultural Science Digest - A Research Journal
SCOPUS
  • Year: 2017
  • Volume: 37
  • Issue: 4

Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.)

  • Author:
  • Karthika Gunasekaran, Rajeswari Sivakami, Robin Sabariappan, Govintharaj Ponnaiah, Vishnu Varthini Nachimuthu, Balaji Aravindhan Pandian
  • Total Page Count: 6
  • Page Number: 251 to 256

Center for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India

*Corresponding author's e-mail: karthi.tnau07@gmail.com

Online published on 30 December, 2017.

Abstract

Nine rice genotypes were evaluated for this present study. Genetic variability parameters, correlation and path coefficient analysis were estimated for eleven agronomic and quality traits. Among all the genotypes, ASD 16 recorded highest significant grain yield per plant. In this present study, the PCV was higher than GCV for all the characters studied. The grain yield per plant recorded highest GCV, high heritability coupled with high genetic advance which indicates that the trait were governed by epistasis and dominant gene action. Number of productive tillers per plant and thousand grain weight showed positive significant correlation and direct effects on grain yield per plant. The purpose of this study is to estimate the amount of variability present in this material, which in turn helps to select these material for further breeding programme to develop high yield hybrids combine with blast and leaf folder resistance.

Keywords

Heritability, Genotype, Genetic advance, Mean, Phenotype