Assessment of Genetic Diversity in Rice Genotype (Oryza sativa L.)
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Date
2018-06
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Department of Plant Breeding and Genetics, BAU, Sabour
Abstract
The present investigation was carried out to study “Assessment of Genetic Diversity in Rice genotypes (Oryza sativa L.)” in thirty five genotypes including three checks (Prabhat, MTU1010, Rajendra sweta) during Kharif 2017 at Rice research farm Bihar Agricultural University, Sabour, (Bhagalpur). Analysis of variance revealed significant differences among the genotypes for all the characters under study which indicated that considerable amount of variability were present in the genotypes included in the study. Hence, there is an ample scope for inclusion of promising genotypes in breeding programme for yield and its component characters. On the basis of mean performance the genotypes viz, LPD104-B-B-1-8-2-1-1, RP5124-11-6-2 were identified as the superior genotypes for yield and yield attributing traits
.The higher magnitude of genotypic coefficient of variation was recorded for L/B ratio while, higher phenotypic coefficient of variation were recorded for grain yield per plant followed by kernel length suggested the presence of sufficient variability in genotypes which broaden the scope for genetic improvement through selection of these characters. High heritability coupled with high genetic advance as % mean was observed for kernel length ,L/B ratio which suggested that these characters can be considered as favourable attributes for the improvement through selection and this may be due to presence of additive genes effect and thus, could be improved upon by adapting selection without progeny testing. Grain yield per plant showed positive and significant association with biological yield per plant, days to 50 % flowering,
days to maturity, while remaining characters showed non-significant association. Therefore, it is suggested that these traits should be used as selection criteria for yield improvement in rice genotypes. Path coefficient analysis revealed that biological yield per plant; harvest index and kernel length had high positive direct effects on grain yield per plant indicating true relationship of these characters with grain yield and direct selection. On the basis of Mahalanobis’s D² statistics, the genotypes were grouped into six clusters. The highest inter-cluster distance was observed between cluster III and and IV followed by cluster IV and VI and cluster IV and V ,which indicated maximum diversity between the genotypes of these clusters might be used in multiple crossing programme to recover transgressive segregants. Considering the genetic divergence and mean performance of genotypes for grain yield and
other yield contributing characters, NDR9718 and BADSHAHBHOG-SBR-4 may be considered as divergent genotypes and hybridization involving these genotypes is likely to give desirable transgressive segregants for yield and yield contributing traits.
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