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Studies of genetic diversity analysis in rice (Oryza sativa L.) genotypes for yield and yieldcontributing characters

International Journal of Chemical Studies · 2020 · Vol. 8(2) · pp. 176–179
Ranjit SarojSurendra SinghNidhi Bhatt

Abstract

Rice (Oryza sativa L.), an autogamous crop, is the staple food of most of the people of South-Eastern Asia. Around 90% of all rice grown in the world is produced and consumed in the Asian region specifically China followed by India. Hundred genotypes (indigenous collection) from NBPGR with four checks were evaluated at N. E. Borlaug Crop Research Centre of G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India, during kharif season, 2015-17. Analysis of variance indicated adequate genetic variability among the experimental materials. Based on Hierarchical cluster analysis, the 104 genotypes including check were grouped into 8 clusters. The maximum numbers of genotypes (44) were grouped in Cluster III and minimum (1) in Clusters I and VIII. The maximum divergence was observed between Clusters I and VII (415.80) and least divergence was observed between Clusters IV and V (90.23). Cluster I have most desirable genotypes as it exhibited highest cluster mean values for majority of the characters under study. Based on inter-cluster distance, cluster mean values and per se performance, the potential parental combinations that could be considered for enhancing the overall yield levels in rice were, IC75747, IC75738, IC75843, IC75968, IC75828, IC75811, IC75839, IC458780.

Rice Cultivation and Yield ImprovementGABA and Rice ResearchGenetics and Plant BreedingKharif cropOryza sativaCropBiologyCluster (spacecraft)Genetic divergenceForensic scienceGenetic diversityAgricultureYield (engineering)
Citations
0
FWCI
0.00
field-weighted impact
References
10
Percentile
1%
vs. same field & year
References
Hierarchical Grouping to Optimize an Objective Function
Journal of the American Statistical Association · 1963 · 3,241 citations
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