@Article{phyton.2022.020100, AUTHOR = {Rohini Bhat, Anil Kumar Singh, Muntazir Mushtaq, Romesh Kumar Salgotra, Manmohan Sharma, Basharat Ahmad Bhat, Umer Basu, Ibrahim Al-Ashkar , Mohammad Anwar Hossain, Akihiro Ueda, Ayman El Sabagh}, TITLE = {Identification of QTLs for Yield and Associated Traits in F2 Population of Rice}, JOURNAL = {Phyton-International Journal of Experimental Botany}, VOLUME = {91}, YEAR = {2022}, NUMBER = {11}, PAGES = {2439--2459}, URL = {http://www.techscience.com/phyton/v91n11/48785}, ISSN = {1851-5657}, 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.}, DOI = {10.32604/phyton.2022.020100} }