International Journal of Agriculture, Environment and Biotechnology
  • Year: 2012
  • Volume: 5
  • Issue: 4

Genetic architecture, interrelationship and path analysis for yield improvement in Exotic rice (Oryza Sativa L.)

  • Author:
  • Bineeta DeviC1, G.M. Lal1, Chandra Mohan Singh2,, Prashant Yadav1
  • Total Page Count: 6
  • Page Number: 387 to 392

1Department of Genetics and Plant Breeding, Allahabad School of Agriculture, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad- 211007, Uttar Pradesh, India

2Department of Plant Breeding and Genetics, Rajendra Agricultural University, Pusa - 848125, Bihar, India

Email: cmsingh.gpb@gmail.com

Online published on 31 January, 2013.

Abstract

A study of genetic variation and inter-relationship among grain yield and its component traits in rice (Oryza sativa L.) was carried out using 64 exotic rice genotypes. The maximum GCV and PCV was exhibited by number of spikelets per panicle followed by number of productive tillers per hill, harvest index and flag leaf length whereas rest of the traits showed moderate GCV and PCV. High heritability was recorded for all the traits studied except flag leaf width. High estimates of heritability coupled with high genetic advance as per cent of mean was observed for all the traits studied except flag leaf width whereas flag leaf width exhibited low heritability along with low genetic advance as percent of mean. The component traits viz., plant height, number of productive tillers per hill, biological yield per hill and harvest index showed positive and significant correlation with seed yield per hill at both genotypic level and phenotypic level. The maximum direct effect towards the total correlation with seed yield per hill was observed for harvest index followed by days to maturity and test weight. The direct contribution of days to 50 per cent flowering and flag leaf width was positive but low in magnitude. The strong positive correlation between component traits and seed yield per hill with high direct effect indicating the true relationship between them, therefore direct selection though this trait will be effective for yield improvement.

Keywords

Genetic parameters, Character association, Path analysis