GENETIC STUDY FOR YIELD AND YIELD ATTRIBUTING TRAITS IN NIGER GERMPLASM
Journal Title: International Journal of Agriculture Sciences - Year 2016, Vol 8, Issue 56
Abstract
The present investigation was carried out at Project Coordinating Unit (Sesame and Niger) Research Farm, JNKVV, Jabalpur (M.P.) during 2015-16 to determine the extent of genetic variation, association and their interrelationship of yield with yield attributing traits among 71 niger accessions. Results revealed that high magnitude of phenotypic and genotypic coefficient of variation was observed for seed yield per plant followed by Free fatty acid content (%), number of secondary branches per plant, number of primary branches per plant, number of capitula per plant, plant height and seed length while, all other characters showed low PCV and GCV. High heritability was recorded for almost all the characters except number of primary branches/plant which showed moderate heritability. High genetic advance was exhibited by seed yield/plant followed by free fatty acid content (%), number of secondary branches/plant, number of capitula/plant, seed length, number of primary branches/plant and plant height. Moderate genetic advance was recorded for oil content (%). High heritability coupled with high genetic advance was exhibited by seed yield/plant followed by free fatty acid content (%), number of secondary branches/plant, number of capitula/plant, seed length and plant height indicating lesser influence of environment and presence of additive gene action, hence amenable for simple selection. Correlation revealed that positive and highly significant association of seed yield/plant was exhibited by seed length, number of capitula/plant, 1000 seed weight, number of secondary branches/plant and days to 50% flowering. Path analysis showed the highest positive direct effect on seed yield/plant was exerted by seed length followed by number of capitula/plant, number of secondary branches/plant, 1000 seed weight and days to 50% flowering suggesting that these traits are good yield enhancing indices
Authors and Affiliations
RAJANI BISEN
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