Scinovex
article Open Access

Path coefficient analysis of yield and its component traits in pearl millet (Pennisetum glaucum L.) germplasm

International Journal of Advanced Biochemistry Research · 2025 · Vol. 9(9S) · pp. 514–518

Abstract

An experiment entitled “Genetic diversity studies in pearl millet [Pennisetum glaucum (L.) R. Br.]”. was carried out during Kharif 2024 at the Research Farm of National Agriculture Research Project, Chhatrapati Sambhajinagar. The experiment was laid out in Randomized Block Design (RBD) with 42 genotypes and two replications to estimate the extent of genetic variability, heritability, genetic advance, correlation coefficient and path coefficient analysis among all the genotypes. Path coefficient analysis revealed that direct effect was positive on grain yield per plant by number of productive tiller per plant, days to maturity, plant height, fodder yield per plot, 1000-grain weight. This revealed that true relationship of these characters with grain yield. Hence, direct selection for these traits could be rewarding for improvement of grain yield.

Genetics and Plant BreedingAgricultural Economics and PracticesRice Cultivation and Yield ImprovementPath coefficientGermplasmKharif cropRandomized block designPennisetumFodderPath analysis (statistics)Grain yieldTiller (botany)
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
18%
vs. same field & year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.

Path coefficient analysis of yield and its component traits in pearl millet (Pennisetum glaucum L.) germplasm · Scinovex