Open Access

ARTICLE

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

Rohini Bhat^1,*, Anil Kumar Singh², Muntazir Mushtaq³, Romesh Kumar Salgotra², Manmohan Sharma², Basharat Ahmad Bhat⁴, Umer Basu⁵, Ibrahim Al-Ashkar ⁶, Mohammad Anwar Hossain^7,*, 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 the 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.

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