Electronic Journal of Plant Breeding
Open Access
SCOPUS
  • Year: 2020
  • Volume: 11
  • Issue: 2

Genetic variability, correlation and path analysis studies for yield and yield attributes in African rice (Oryza glaberrima) germplasm

  • Author:
  • V. G. Ishwarya Lakshmi1, 4, M. Sreedhar2, C. Gireesh1,, S. Vanisri3
  • Total Page Count: 6
  • Page Number: 399 to 404

1ICAR-Indian Institute of Rice Research, PJTSAU, Hyderabad-500 030, India

2MFPI-Quality control Lab, Department of Genetics and Plant Breeding, College of Agriculture, PJTSAU, Hyderabad-500 030, India

3Department of Molecular Biology and Biotechnology, Institute of Biotechnology, PJTSAU, Hyderabad-500 030, India

4Scholar, Department of Genetics and Plant Breeding, College of Agriculture, PJTSAU, Hyderabad-500 030, India

*E-Mail: giri09@gmail.com

Online published on 30 July, 2020.

Abstract

Thirty-one accessions of Oryza glaberrima were evaluated to study variability, correlation and path analysis for yield and yield attributing traits. Three checks namely, BPT 5204, IR 64 and Swarna for were utilized for comparison of variability parameters. High range of variation, PCV, GCV and high heritability coupled with high genetic advance was observed for days to 50 per cent flowering and the number of spikelets per panicle. Correlation revealed that the number of productive tillers per plant, panicle length, spikelets per panicle, 1000 seed weight, kernel length, and L/B ratio showed a positive association with grain yield. However, days to 50% flowering, plant height and kernel breadth were found to be negatively correlated. Path analysis identified L/B ratio, panicle length and kernel breadth, which had the maximum direct positive effect on grain yield, while, L/B ratio via kernel length and days to 50% flowering via 1000 seed weight exhibited high positive indirect effects on grain yield per plant. Therefore, the selection of accessions with more panicle length and early maturity would be most suitable for selection in yield improvement programs.

Keywords

Correlation, Path analysis, Oryza glaberrima