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Identification of QTLs for Yield and Associated Traits in F2 Population of Rice

Rohini Bhat1,*, Anil Kumar Singh2, Muntazir Mushtaq3, Romesh Kumar Salgotra2, Manmohan Sharma2, Basharat Ahmad Bhat4, Umer Basu5, Ibrahim Al-Ashkar 6, Mohammad Anwar Hossain7,*, Akihiro Ueda8, Ayman El Sabagh9
1 ICAR-Directorate of Onion and Garlic, Rajgurunagar, Pune, Maharashtra, 410505, India
2 School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Chatha, 180009, India
3 ICAR-National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India
4 Department of Bio-Resources, University of Kashmir, Jammu and Kashmir, 190006, India
5 Division of Plant Pathology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Chatha, 180009, India
6 Department of Plant Production, College of Food and Agriculture, King Saud University, Riyadh, 11451, Saudi Arabia
7 Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
8 Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, 739-8528, Japan
9 Department of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafrelsheikh, 33516, Egypt
* Corresponding Authors: Rohini Bhat. Email: ; Mohammad Anwar Hossain. Email:
(This article belongs to this Special Issue: High-Yield Rice Physiology & Genetics)

Phyton-International Journal of Experimental Botany 2022, 91(11), 2439-2459. https://doi.org/10.32604/phyton.2022.020100

Received 04 November 2021; Accepted 23 February 2022; Issue published 12 July 2022

Abstract

Identification of quantitative trait loci (QTLs) controlling yield and yield-related traits in rice was performed in the F2 mapping population derived from parental rice genotypes DHMAS and K343. A total of 30 QTLs governing nine different traits were identified using the composite interval mapping (CIM) method. Four QTLs were mapped for number of tillers per plant on chromosomes 1 (2 QTLs), 2 and 3; three QTLs for panicle number per plant on chromosomes 1 (2 QTLs) and 3; four QTLs for plant height on chromosomes 2, 4, 5 and 6; one QTL for spikelet density on chromosome 5; four QTLs for spikelet fertility percentage (SFP) on chromosomes 2, 3 and 5 (2 QTLs); two QTLs for grain length on chromosomes 1 and 8; three QTLs for grain width on chromosomes1, 3 and 8; three QTLs for 1000-grain weight (TGW) on chromosomes 1, 4 and 8 and six QTLs for yield per plant (YPP) on chromosomes 2 (3 QTLs), 4, 6 and 8. Most of the QTLs were detected on chromosome 2, so further studies on chromosome 2 could help unlock some new chapters of QTL for this cross of rice variety. Identified QTLs elucidating high phenotypic variance can be used for marker-assisted selection (MAS) breeding. Further, the exploitation of information regarding molecular markers tightly linked to QTLs governing these traits will facilitate future crop improvement strategies in rice.

Keywords

Rice; QTL mapping; linkage map; SSR markers; composite interval mapping; marker-assisted selection

Cite This Article

Bhat, R., Singh, A. K., Mushtaq, M., Salgotra, R. K., Sharma, M. et al. (2022). Identification of QTLs for Yield and Associated Traits in F2 Population of Rice. Phyton-International Journal of Experimental Botany, 91(11), 2439–2459.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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