期刊名称：Current Journal of Applied Science and Technology
印刷版ISSN：2457-1024
出版年度：2022
卷号：41
期号：33
页码：41-49
DOI：10.9734/cjast/2022/v41i333950
语种：English
出版社：Sciencedomain International
摘要：This experiment was conducted to study the variability parameters of forty rice genotypes to evaluate genetic parameters i.e., Genotypic variability coefficient (GVC), Phenotypic variability coefficient (PVC), Heritability (H) and mean percent of Genetic advance (MGA) for nine different yield and yield-contributing traits at Agriculture Research Farm, Banaras Hindu University, Varanasi during Kharif-2018. The data were collected for nine yield and yield attributing traits subjected to alpha lattice design and analyzed in R-software. The PCV magnitude was found slightly higher than GCV indicating that this trait is less influenced by environmental factors. The highest GCV and PCV are found for yield (37.70 % to 38.27% respectively) followed by number of tillers per plant number of effective tillers per plant (GCV: 19.47%, PCV: 21.04%) and plant height (GCV: 14.99, PCV: 16.40). high heritability (>70%) coupled with high percent of mean genetic advance (MGA) (>20%) were recorded for days to fifty percent flowering, days to maturity, plant height, number of effective tillers, panicle length, spikelet fertility, test weight, grain yield per plant and harvest index indicating that the simple selection will be effective for this trait improvement.
