Delineation of Selection Criterion Using Correlation and Path Analysis in Forage Pearl Millet (Pennisetum glaucum (L.) R. Br.) in North Gujarat Condition

Abstract

Knowledge of genetic and phenotypic association among economic traits helps plant breeders in outlying efficient breeding strategies for development of high yielding forage pearl millet variety. An experiment was conducted at the research farm of Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar, Gujarat to evaluate plant characteristics associated with green forage yield and its attributes in forage pearl millet [Pennisetum glaucum (L.) R. Br.] genotypes in north Gujarat condition through correlation and path analyses during 2023. Twelve independent and 1 dependent variables were evaluated for the character association analysis of the 30 forage pearl millet genotypes. The evaluation was performed in a Randomized Complete Block Design with three replications. Data collection was done from 5 randomly selected plants and this data was used for analysis using R Studio. The green forage yield per plant had positive and significant correlation with plant height, number of tiller per plant, stem thickness, leaf length, leaf width, and dry fodder yield per plant at both genotypic and phenotypic level. Path analysis revealed the importance of leaf width and dry fodder yield per plant by showing high and positive direct effects towards green forage yield per plant. These characters also exhibited significant and positive association with green forage yield per plant at the genotypic and phenotypic. Hence, these traits could be considered as the vital component characters for development of high yielding genotypes in forage pearl millet.