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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.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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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.2020.9(4): 3216-3224
DOI: https://doi.org/10.20546/ijcmas.2020.904.374


Association Mapping for Important Agronomic Traits in Core Collection of Rice (Oryza sativa L.) with SSR Markers
Ritu R. Saxena1, Sujit Roy1*, Suman Rawte1, Parmeshwar K. Sahu1, Ravi R. Saxena2 and S. B. Verulkar3
1Department of Genetics and Plant Breeding, 2Department of Agriculture Statistics and Social Sciences (L), 3Department of Plant Molecular Biology and Biotechnology Indira Gandhi Krishi Vishwavidyalaya, Raipur 492 012, Chhattisgarh, India
*Corresponding author
Abstract:

Mining elite genes within rice landraces is of importance for the improvement of cultivated rice. An association mapping for12 agronomic traits was carried out using a core collection of rice consisting of 100 landraces (Panel 1) with 44 simple sequence repeat (SSR) markers. Our results showed that (1) 76significant (P, 0.05) trait-marker associations were detected using mixed linear model (MLM) within Panel 1 in two years, among which 32% were identical with previously mapped QTLs, and 11 significant associations had.10% explained ratio of genetic variation; (2) A total of seven aforementioned trait-marker associations were verified within Panel 2 and 3 when using a general linear model (GLM) and 55 SSR markers of the 76 significant trait-marker associations. However, non-significant trait-marker association was found to be identical within three panels when using the MLM model; (3) several desirable alleles of the loci which showed significant trait-marker associations were identified. The research provided important information for further mining these elite genes within rice landraces and using them for rice breeding.


Keywords: Rice landraces, Cultivated rice, Linear model, Rice breeding
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How to cite this article:

Ritu R. Saxena, Sujit Roy, Suman Rawte, Parmeshwar K. Sahu, Ravi R. Saxena and Verulkar, S. B. 2020. Association Mapping for Important Agronomic Traits in Core Collection of Rice (Oryza sativa L.) with SSR Markers.Int.J.Curr.Microbiol.App.Sci. 9(4): 3216-3224. doi: https://doi.org/10.20546/ijcmas.2020.904.374