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

Authors :
Bhat, Rohini
Singh, Anil Kumar
Mushtaq, Muntazir
Salgotra, Romesh Kumar
Sharma, Manmohan
Bhat, Basharat Ahmad
Basu, Umer
Al-Ashkar, Ibrahim
Hossain, Mohammad Anwar
Ueda, Akihiro
El Sabagh, Ayman
Source :
Phyton (0031-9457); Nov2022, Vol. 91 Issue 11, p2439-2459, 21p
Publication Year :
2022

Abstract

Identification of quantitative trait loci (QTLs) controlling yield and yield-related traits in rice was performed inthe F<subscript>2</subscript> 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00319457
Volume :
91
Issue :
11
Database :
Complementary Index
Journal :
Phyton (0031-9457)
Publication Type :
Academic Journal
Accession number :
158007812
Full Text :
https://doi.org/10.32604/phyton.2022.020100