Open AccessQuantitative trait loci identification for yield component traits in an Indonesian local rice variety, Untup Rajab
Author(s) -
Muhamad Yunus,
Dani Satyawan,
Ahmad Dadang,
A Warsun
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/762/1/012011
Subject(s) - quantitative trait locus , panicle , biology , chromosome , population , trait , grain yield , genetics , agronomy , gene , medicine , environmental health , computer science , programming language
Local rice varieties often carry useful genes related to yield component traits that can be utilized to develop high-yielding rice varieties. This study aimed to identify quantitative trait loci (QTLs) for yield component traits in Untup Rajab, an Indonesian local rice variety. QTL mapping was conducted using Inclusive Composite Interval Mapping (ICIM) method on a F2 population from a cross between TN-1 and Untup Rajab, which was genotyped using SNP markers and phenotyped for several yield component traits. A total of eight QTLs were detected. Two QTLs for spikelet number per panicle were found in chromosome 6 and 9 with PVE values of 13.01% and 15.57%, respectively. Three QTLs were identified for the number of filled spikelets per panicle in chromosome 4, 6, and 12 with PVE values of 7.73%, 9.19%, and 19.51%, respectively. Two QTLs were identified for the ratio of filled spikelets to total spikelet number per panicle in chromosome 3 and 12 with PVE values of 9.73% and 10.71%, respectively, and only one QTL was identified for the number of empty spikelets per panicle in chromosome 11 with a PVE value of 11.07%. Further investigation is still needed to verify their applicability for marker-assisted rice breeding.