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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:2, February, 2018

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.2018.7(2): 3166-3173
DOI: https://doi.org/10.20546/ijcmas.2018.702.381


Genetic Analysis of Green Super Rice (Oryza sativa L.) for Yield and Quality Traits
Megha Singh1, Hausila Prasad Singh1*, Rana Saha1, Prabhudutt Samal2, Md. Ekram Hussain1, Shailja Sharma3, S. D. Nitesh3 and G. K. Koutu1
1Department of Plant Breeding and Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur-482004, India
2Department of Crop Improvement, 3Department of Agricultural Biotechnology, CSK Himachal Pradesh Agricultural University, Palampur-176062, India
*Corresponding author
Abstract:

Rice germplasm diversity is the mainstay for rice improvement programmes. High heritability accompanied with high genetic advance indicated the predominance of additive gene action for the traits number of tillers/plant, biological yield/plant, panicle weight/plant, number of spikelets/panicle, fertile spikelets/panicle, spikelet density, grain yield/plant, panicle index, harvest index, head rice recovery, amylose content. It indicates that the heritability is most likely due to additive gene effect and selection may be effective. The path coefficient analysis of different traits contributing towards grain yield revealed that stem length followed by panicle length, panicle index, fertile spikelets /panicle, panicle weight/plant, decorticated grain length, 1000-grain weight, milling percentage, number of panicle/plant and grain breadth had positive direct effect towards grain yield. Therefore, these characters may be given importance during hybridization programmes.


Keywords: Diversity, Heritability, Genetic advance, PCA and DUS etc.

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How to cite this article:

Megha Singh, Hausila Prasad Singh, Rana Saha, Prabhudutt Samal, Md. Ekram Hussain, Shailja Sharma, S. D. Nitesh and Koutu, G.K. 2018. Genetic Analysis of Green Super Rice (Oryza sativa L.) for Yield and Quality Traits.Int.J.Curr.Microbiol.App.Sci. 7(2): 3166-3173. doi: https://doi.org/10.20546/ijcmas.2018.702.381
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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