Correlation and path analysis of yield traits in B & R lines of rabi sorghum [Sorghum bicolor (L.) Moench]

  • SWAROOP K O Department of Genetics and Plant Breeding University of Agricultural Sciences, Dharwad - 580 005, India
  • SAJJANAR G M Department of Genetics and Plant Breeding University of Agricultural Sciences, Dharwad - 580 005, India
  • SOREGAON C D Department of Genetics and Plant Breeding University of Agricultural Sciences, Dharwad - 580 005, India
  • AND KIRAN B O Department of Crop Physiology University of Agricultural Sciences, Dharwad - 580 005, India
Keywords: Correlation, Hybrid parents, Maintainers (B), Path analysis, Rabi sorghum, Restorer (R)

Abstract

The present investigation was carried out for correlation and path coefficient analysis using 32 rabi sorghum
hybrid parents including maintainers (B) and restorer (R) lines for grain yield and its attributes. The experimental material
was evaluated during rabi season 2021-22 at Regional Agricultural Research Station, Vijayapur in randomized block design
with two replications. The character association studies revealed that grain yield per plant was found to be significantly and
positively correlated with days to 50% flowering, plant height, panicle breadth, panicle weight, harvest index, panicle
harvest index, seed set percentage and grain number per plant both at genotypic and phenotypic level. Path analysis
revealed that characters such as panicle weight, panicle harvest index, harvest index, fodder yield per plant, days to 50%
flowering and SPAD at physiological maturity showed a positive direct effect on grain yield per plant. These traits can be
considered as principal yield determining components and it is suggested to use these as indirect selection criteria for B and
R-line improvement.

Published
2024-01-10
How to Cite
K O, S., G M, S., C D, S., & B O, A. K. (2024). Correlation and path analysis of yield traits in B & R lines of rabi sorghum [Sorghum bicolor (L.) Moench]. Journal of Farm Sciences, 36(03), 236-239. https://doi.org/10.61475/JFS.2023.v36i3.01