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Vol. 9, Issue 4 (2020)

Genetic analysis for grain yield and yield contributing traits in rice (Oryza sativa L.) Genotypes

Author(s):
Neeraj Ankur Toppo, G Suresh Babu, GR Lavanya, Devendra Nath Tiwari, Abhinav and Anuj Kumar
Abstract:
The experiment was conducted during Kharif-2014 with 30 rice genotypes in Randomized Block Design having three replications at the field experimentation center of Department of Genetics and Plant Breeding, SHIATS, Allahabad, Uttar Pradesh. Pooled data of 13 quantitative and 9 qualitative characters to study genetic variability and its components. Analysis of variance among 30 genotypes showed highly significant differences for all the characters indicated the presence of substantial amount of genetic variability. On the basis of mean performance highest grain yield per hill was exhibited by the genotype HKR 08-62 followed by UPR 3425-11-1-1. Highest genotypic coefficient of variance (GCV) phenotypic coefficient variance (PCV) was observed for grain yield per hill followed by harvest index indicating that these characters could be used as selection for crop improvement. High estimates of heritability coupled with high genetic advance were observed for spikelets per panicle and biological yield per hill.
Pages: 297-299  |  482 Views  38 Downloads


The Pharma Innovation Journal
How to cite this article:
Neeraj Ankur Toppo, G Suresh Babu, GR Lavanya, Devendra Nath Tiwari, Abhinav, Anuj Kumar. Genetic analysis for grain yield and yield contributing traits in rice (Oryza sativa L.) Genotypes. Pharma Innovation 2020;9(4):297-299.

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