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Birsa Agricultural University, Ranchi

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Subject: Plant Breeding × Author: Ajeet Kumar Yadav × End date: 2018 × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Variability And Correlation Studies in India Mustard ( Brassica ' Juicea Coss )
    (Birsa Agricultural University, Ranchi, 1994) Ajeet Kumar Yadav; Dr. A.K. Verma
    Title: Variability and correlation studies in Indian Mustard (Brassica juncea Coss.). The present investigations on the genotypic and phenotypic variability, correlation and path coefficient analysis was carried out for ten characters in twenty five germplasms of Indian mustard taken from different sources. Analysis of variance for ten characters revealed highly significant variations among t g the genotypes for all the characters except for days to maturity. The range of variation observed in ten characters indicated a wide range of variations within characters. Highest range was observed in character, number of secondary branches and lowest in days to maturity. The coefficient of variation was highest for number of siliquae per plant followed by number of secondary branches and 1000-seed weight. Days to maturity had the lowest coefficient of variation followed by days to 50% flowering. As may be seen from the table the phenotypic and genotypic variances of 3 characters viz. plant height, number of siliquae per plant and seed yield per plot were quite high. Highest genotypic and phenotypic coefficient of variation was found for number of secondary branches. The character days to maturity had the lowest phenotypic and genotypic coefficient of variation. High heritability estimates was observed for days to maturity, days to 50% flowering, plant height, number of primary branches, number of siliquae per plant, number of seeds per siliqua. The expected genetic advance suggested relative differences among the different plant characters studied. The character, seed yield per plot showed highest genetic advance of 26.54 followed by number of siliquae per plant (22.69) and plant height (21.23). The character number of secondary branches showed lowest genetic advance. Genetic advance in per cent of mean was observed to be highest for character, 1000-seed weight and lowest for the character days to 50% flowering. Highest significant genotypic as well as phenotypic positive correlation of seed yield per plot was found with the character 1000-seed weight followed by number of seeds per siliqua, number of siliquae per plant and number of secondary and primary branches. Negative significant genotypic correlation of seed yield per plot was found with plant height. Path coefficient analysis showed that the character number of siliquae per plant had highest positive direct effect on seed yield per plot followed by number of seeds per siliqua, number of secondary branches, 1000-seed weight, number of primary branches and plant height. Hence path analysis revealed that selection based on characters number of siliquae per plant, number of seeds per plant, number of secondary branches, 1000-seed weight and number of primary branches will be more reliable.