Journal ID : AMA-09-11-2023-12713
[This article belongs to Volume - 54, Issue - 11]
Total View : 447

Title : CHARACTER ASSOCIATION AND PATH ANALYSIS STUDIES IN HIGH YIELDING MUTANTS OF POST RAINY SORGHUM (Sorghum bicolor (L.) Moench

Abstract :

The present investigation was undertaken at Department of Agricultural Botany, Vasantrao Naik Marathwada Krishi Vidyapeeth Parbhani. The experiment was carried out with the objective of estimation of correlation and path analysis. Initially, Parbhani Moti, the popular post rainysorghum variety, had been irradiated with gamma rays and ethyl methane sulphonate and their combinations at department of Agricultural Botany, VNMKV, Parbhani under a collaborative project with BARC, Mumbai. In M4 generation, 60 promising high yielding mutants derived from the above mutagenized population along with four checks were evaluated in eight environments. The pooled correlation revealed that, the grain yield per plant hadsignificant and positive correlation both at genotypic and phenotypic levels withplant height, stem girth, panicle length, panicle breadth, panicle weight, 1000grain weight, fodder yield per plant, biological yield per plant, harvest index. Onthe other hand, grain yield per plant had highly significant and negativecorrelation both at genotypic and phenotypic levels with days to 50 per cent flowering and internodal length. It indicates selection of these characters helps toenhance the yield.11. The grain yield per plant had non significant and positive correlation both at genotypic and phenotypic levels with days to maturity, leaf area, ironcontent, zinc content and non-significant negative correlation at genotypic andphenotypic levels with protein content.12. The path coefficient analysis revealed that, biological yield, and harvestindex at genotypic level while panicle weight, fodder yield and harvest index atphenotypic level exhibited high and positive direct effects on grain yield perplant. Thus, these characters turned-out to be the major components of grain yieldand direct selection for these traits will be rewarding for yield improvement.

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