Estimation of Variability, Correlation and Path Analysis in Soybean (Glycine max (L.) Merr.) Genotypes at Jimma, South Western Ethiopia

Yechalew Sileshi

Abstract


Thirty-six soybean genotypes were tested with the aim of to determine the extent of genetic variability, correlation and path analysis among soybean genotypes. The field experiment was conducted during the 2017/2018 main cropping season in Jimma South western Ethiopia. The experimental design was triple lattice. Data were collected on 14 quantitative morphological traits .Analysis of variance showed significant to highly significant differences among genotypes for all of the studied traits. The phenotypic coefficient of variation (PCV) ranged from 8.83 for days to maturity to 39.3 for harvest index; while the genotypic coefficient of variation (GCV) value ranged from 4.7 for seed per pod to 30.22 for biomass per plant. Broad sense heritability value ranged from 5.5% for seed per pod to 95.9 % for days to flowering. The genotypic correlation analysis exhibited that seed yield had positive and significant association with harvest index and hundred seed weight. Harvest index exerted the maximum positive direct effect followed by biomass and pod per plant on grain yield at genotypic levels, these could be used for selection to improve grain yield.

Keywords:- Correlation, Path, Variability, Soybean

DOI: 10.7176/JNSR/9-7-03

Publication date: April 30th 2019


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ISSN (Paper)2224-3186 ISSN (Online)2225-0921

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