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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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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 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
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.2017.6(9): 1378-1385
DOI: https://doi.org/10.20546/ijcmas.2017.609.167


Identification of Yield Improving Quantitative Trait Loci Alleles from Japonica x Indica Sub-Species in Recombinant Inbred Lines Rice (Oryza sativa L.)
Prabha R. Chaudhari*, D.K. Mishra, G.K. Koutu, Suchita S. Xalxo, Ritu R. Saxena, Laxmi Singh and S.B. Verulkar
Department of Genetics and Plant Breeding, IGKVV, Raipur- 492012 (CG), India
*Corresponding author
Abstract:

Rice recombinant inbred lines (RILs) of Japonica x Indica cross were grown in irrigated conditions for identification of quantitative trait loci (QTLs) for yield associated traits. One hundred twenty one RIL lines were evaluated in the field environment. A total of one hundred twenty two SSR markers were used for polymorphism out of forty markers that showed parental polymorphism. Forty SSR markers were used to construct the genetic linkage map. In total, nine QTLs were identified for yield attributing traits. The number of QTLs were one to six detected in different yield attributing traits, whereas phenotypic variance ranged from 27.27 % - 66.46 % among the yield and yield attributing traits. They were located on chromosome 3, 7, 10 and 11. Six QTLs were identified for total tillers per plant, two QTLs for total number of spikelets per panicle and one QTLs for number of filled spikelets per panicle. The Loci for number of filled grains per panicle, qFSN 11-1 were increased 39.15 numbers filled grains respectively. Moreover, phenotypically these characters have more association with each other. Hence these markers may be useful for marker assisted breeding programme.


Keywords: Rice, RIL population, Yield traits, QTL identification
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How to cite this article:

Prabha R. Chaudhari, D.K. Mishra, G.K. Koutu, Suchita S. Xalxo, Ritu R. Saxena, Laxmi Singh and Verulkar, S.B. 2017. Identification of Yield Improving Quantitative Trait Loci Alleles from Japonica x Indica Sub-Species in Recombinant Inbred Lines Rice (Oryza sativa L.).Int.J.Curr.Microbiol.App.Sci. 6(9): 1378-1385. doi: https://doi.org/10.20546/ijcmas.2017.609.167