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P-ISSN: 2349-8528, E-ISSN: 2321-4902   |   Impact Factor: GIF: 0.565

Vol. 8, Issue 2 (2020)

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


Author(s): Ranjit Saroj, Surendra Singh and Nidhi 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.

DOI: 10.22271/chemi.2020.v8.i2c.8763

Pages: 176-179  |  649 Views  97 Downloads

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How to cite this article:
Ranjit Saroj, Surendra Singh, Nidhi Bhatt. Studies of genetic diversity analysis in rice (Oryza sativa L.) genotypes for yield and yieldcontributing characters. Int J Chem Stud 2020;8(2):176-179. DOI: 10.22271/chemi.2020.v8.i2c.8763
 

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