Genetic variability study for yield and its attributing traits in rice (Oryza sativa L.)

  • J. S. NAGESH Department of Genetics and Plant breeding, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India
  • P. SURENDRA Department of Genetics and Plant breeding, College of Agriculture, Dharwad University of Agricultural Sciences, Dharwad - 580 005, India
Keywords: GCV, Genetic advance over mean, PCV, Rice, Variability

Abstract

A study on genetic variation and its understanding in cultivated rice (Oryza sativa L.) can help in improving the
crop yield. The present investigation was undertaken with twenty-three rice genotypes to assess the variability parameters
for yield and its component traits. The experiment was conducted in a randomized complete block design with two
replications during kharif 2022 at three locations viz., AICRIP (Vol. Centre), ARS (Paddy) Sirsi, ARS Malagi and ARS
Mugad. The investigation revealed that the estimates of GCV for all the characters studied were slightly less than PCV
estimates indicating influence of environment on the genotype performance. PCV and GCV were high for trait like straw
yield per plot (kg). Moderate GCV and PCV showed by number of panicles hill-1, number of panicles sqm-1, grain yield
per plot (kg), grain length/breadth (L/B) ratio and kernel length/breadth (kl/kb) ratio. High heritability coupled with high
genetic advance over mean were recorded for number of panicles hill-1, number of panicles sqm-1, grain yield per plot (kg),
straw yield per plot (kg) and kernel length/breadth (kl/kb) ratio indicating that most likely the heritability was due to
additive gene effects.

Published
2024-08-21
How to Cite
NAGESH, J. S., & SURENDRA, P. (2024). Genetic variability study for yield and its attributing traits in rice (Oryza sativa L.). Journal of Farm Sciences, 37(02), 122-124. Retrieved from https://journaloffarmsciences.in/index.php/JFM/article/view/454