Genetic Diversity Analysis for Economic Traits in Advance Breeding Lines of Upland Rice (Oryza sativa L.) Germplasm
2023
Pavankumar, Reddy | Lavanaya, Gera Roopa | Taranum, Shaik Ayesha | Bishnoi, Ruchi | Krishna, Bestha Jaya Sai
The present investigation was conducted on 48 genotypes and 2 check varieties of upland rice (Oryza sativa L.) grown in Randomized block design with three replications during Kharif 2020, to estimate genetic variability and genetic diversity. Based on the mean performance high grain yield per hill was identified for the genotype SHUATS UPR-48 followed by SHUATS UPR-45. High phenotypic and genotypic coefficient of variation were observed for grain yield per hill and biological yield. High heritability coupled with high genetic advance as percent of mean was observed for plant height, spikelets per panicle, days to maturity, days to 50% flowering, panicle length and flag leaf length indicating that these traits are most probably under the control of additive gene action and hence these traits can be fixed by proper selection. Fifty genotypes were grouped into seven different clusters. Cluster I was the largest consisting of 29 genotypes followed by Cluster III with 9 genotypes and Cluster II consists of 7 genotypes. Clusters IV, VI, VII were monotypic with a single genotype in each cluster. Clusters VII (27.45) and IV (16.16) had significant and high Cluster mean for grain yield per hill. Grain yield per hill (15%) had maximum contribution to genetic divergence followed by test weight (11%). Maximum inter cluster distance was obtained between cluster IV & cluster V (198.51) followed by cluster III and cluster V (124.2). The divergent genotypes from clusters IV and V are SHUATS UPR-38, NDR-97 and SHABHAGIDHAN. Hence, these genotypes can be used as parents for further hybridization to develop new cultivars with broad genetic base.
Mostrar más [+] Menos [-]Palabras clave de AGROVOC
Información bibliográfica
Este registro bibliográfico ha sido proporcionado por Indian Council of Agricultural Research