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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

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.2020.9(3): 706-717
DOI: https://doi.org/10.20546/ijcmas.2020.903.085


Assessment of Genetic Variability, Heritability and Genetic Advance
for Yield in Advanced Breeding Line (Oryza sativa L.) of
Low Land Rice in Meghalaya
Ashish Rai1*, Mayank Rai2, Bidisha Borpatragohain3 and Shivendra kumar4
1Department of Plant Breeding and Genetics, 3Department of Soil Science, 4Department of Biotechnology, Dr. Rajendra Prasad Central Agricultural University, Pusa, Bihar
2Department of Genetics and Plant Breeding, Central Agricultural University, Imphal, Manipur
*Corresponding author
Abstract:

The genetic parameters were studied to generate information on genetic variability, heritability and genetic advance among 22 advanced breeding lines including two checks at the experimental Farm of College of post graduate studies, CAU (Imphal), Umiam, Meghalaya during Kharif 2017. Analysis of variance indicated the existence of significant differences among the genotypes for most of the characters. High Phenotypic Coefficient of variation (PCV) and Genotypic Coefficient of Variation (GCV) values were recorded for number of grain per panicle and spikelet per plant which suggests the possibility of improving this trait through selection. The low magnitude of difference between phenotypic and genotypic coefficients of variations were recorded for characters such as days to 50 % flowering, leaf length and leaf width indicating limited influence of environment in the expression of this trait. Thus, selection based on phenotypic expression of the trait would be effective for genetic improvement. High heritability in broad sense values indicate that the traits under study are less influenced by environment in their expression. Therefore, the quantitative traits are highly heritable. However, highest heritability was recorded for leaf length and leaf width. Moderate heritability estimates were observed for number of panicles per plant, spikelets per panicle, grains per panicle, and spikelet fertility.


Keywords: Genotypic coefficient of variation, Genetic improvement, Genetic variability, Heritability and phenotypic coefficient of variation
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How to cite this article:

Ashish Rai, Mayank Rai, Bidisha Borpatragohain and Shivendra Kumar. 2020. Assessment of Genetic Variability, Heritability and Genetic Advance for Yield in Advanced Breeding Line (Oryza sativa L.) of Low Land Rice in Meghalaya.Int.J.Curr.Microbiol.App.Sci. 9(3): 706-717. doi: https://doi.org/10.20546/ijcmas.2020.903.085