TY  - EJOU
AU  - Bhat, Rohini 
AU  - Singh, Anil Kumar 
AU  - Mushtaq, Muntazir 
AU  - Salgotra, Romesh Kumar 
AU  - Sharma, Manmohan 
AU  - Bhat, Basharat Ahmad 
AU  - Basu, Umer 
AU  - Ibrahim Al-Ashkar , 
AU  - Hossain, Mohammad Anwar 
AU  - Ueda, Akihiro 
AU  - Sabagh, Ayman El 

TI  - Identification of QTLs for Yield and Associated Traits in F<sub>2</sub> Population of Rice
T2  - Phyton-International Journal of Experimental Botany

PY  - 2022
VL  - 91
IS  - 11
SN  - 1851-5657

AB  - Identification of quantitative trait loci (QTLs) controlling yield and yield-related traits in rice was performed in
the F<sub>2</sub> 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.
KW  - Rice; QTL mapping; linkage map; SSR markers; composite interval mapping; marker-assisted selection

DO  - 10.32604/phyton.2022.020100