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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:12, December, 2021

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2021.10(12): 133-138
DOI: https://doi.org/10.20546/ijcmas.2021.1012.014


Genetic Variability Studies for Yield and Related Attributes in Rice Genotypes (Oryza sativa L.)
Monika Singh*, Shweta, Vijay Kumar Yadav, Rajendra Kumar Yadav,Poonam Singh and Anjani Kumar Singh
Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur - 208002, Uttar Pradesh, India
*Corresponding author
Abstract:

The experiment on present investigation was conducted for assessment of genetic variability during kharif 2018 and 2019, at Crop Research Farm, Nawabganj and Seed Multiplication Farm Bojha, Chandra Sheker Azad University of Agriculture and Technology, Kanpur (U.P.) India under four environments taking into consideration of high to normal salt stress condition. The experimental materials comprising of 100 genotypes and six standard check varieties (PUSA36, CSR10, CSR36, CSR43, IR64, Usar Dhan 3), grown in Augmented Randomized Block Design with replications of check. Observations were obtained for. Days to 50% flowering, Days to maturity, Plant height (cm), Stress score at vegetative stage, Panicle bearing tillers/ plant, Panicle length (cm), Spikelets/ panicle, Number of grains/panicle, Spikelet fertility (%), Biological yield /plant, Grain yield / plant (g), Harvest index (%), Stress score at reproductive phase,1000- grains weight. Analysis of variance for augmented design in pooled over environment of the environment showed the significant pattern for all fourteen traits. The Analysis of variance revealed the highly significant differences among the genotypes for all the characters under study. The genotypes exhibited a wide range of variability for most of the traits. From the study, it is clear that the traits like Stress score at vegetative stage, stress score at reproductive phase and Grain yield/ plant exhibiting highest values of PCV, GCV. It is highly recommended to select these traits except Spikelet fertility to attain increased yield Days to maturity, 1000-grain weight followed by plant height, Panicle length, Biological yield/plant exhibiting low values of variance hence these traits are ineffective to attain gain by practicing selection. The genotypes IL 773 followed by IL444, IL 105, IL 277, IL 891, IL 125, IL 344, IL 1121 and IL655 produced high grain yield plant-1 and these lines constituted significant group for higher grain yield/plant. The most of the genotypes also showed high to very high mean performance for several other yield components. The superior lines identified for grain yield and other characters may be used as donor parents in hybridization programme under Alkalinity for improving the characters for which they showed high mean performance.


Keywords: Salt stress condition, genotypes, check varieties, pooled, variability,Stress score

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How to cite this article:

Monika Singh, Shweta, Vijay Kumar Yadav, Rajendra Kumar Yadav, Poonam Singh and Anjani Kumar Singh. 2021. Genetic Variability Studies for Yield and Related Attributes in Rice Genotypes (Oryza sativa L.).Int.J.Curr.Microbiol.App.Sci. 10(12): 133-138. doi: https://doi.org/10.20546/ijcmas.2021.1012.014
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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