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An effort was made to create and assess the variability through hybridization using parameters like PCV, GCV, heritability, genetic advance and to find out the interrelationships among the yield components for grain yield per plant with correlation and path analysis in rice. The experiment comprised 30 progenies each of four F3 population evaluated in replicated trial in summer, 2016. Observations on quantitative characters viz., days to 50% flowering, days to maturity, plant height, panicle length, productive tillers per plant, number of grains per panicle, 100 grain weight, kernel length,…mehr

Produktbeschreibung
An effort was made to create and assess the variability through hybridization using parameters like PCV, GCV, heritability, genetic advance and to find out the interrelationships among the yield components for grain yield per plant with correlation and path analysis in rice. The experiment comprised 30 progenies each of four F3 population evaluated in replicated trial in summer, 2016. Observations on quantitative characters viz., days to 50% flowering, days to maturity, plant height, panicle length, productive tillers per plant, number of grains per panicle, 100 grain weight, kernel length, kernel breadth, kernel L/B ratio, grain yield per plant, straw yield per plant and harvest index were recorded from F3 progenies.Generally grain yield per plant was strongly and positively associated with the yield components like panicle length, number of grains per panicle and harvest index in all the four segregating populations. The present findings indicated that while applying selection,more emphasis will have to be given for plant height, panicle length, number of grains per panicle, grain yield per plant, straw yield per plant and harvest index.
Autorenporträt
Hardik Patel hat einen B.Tech-Abschluss in Computertechnik von der Ganpat University, Kherva Gujarat, einen M.E. in Computertechnik von der Gujarat Technological University, Ahmedabad, und einen PhD von der S.P.University, Visnagar.