%A ZHANG Yan-Bo, WANG Yuan, FENG Gan-Yu, DUAN Hui-Rong, LIU Hai-Ying %T QTLs analysis of oil and three main fatty acid contents in cottonseeds %0 Journal Article %D 2022 %J Acta Agronomica Sinica %R 10.3724/SP.J.1006.2022.04273 %P 380-395 %V 48 %N 2 %U {https://zwxb.chinacrops.org/CN/abstract/article_7272.shtml} %8 2022-02-12 %X

In this study, in order to uncover more useful gene information for these traits, the analysis of QTLs controlling the contents of oil, palmitic acid, oleic acid, and linoleic acid in cottonseeds was conducted in different genetic systems. Based on a set of 188 recombinant inbred lines (RILs) derived from an intra-specific cross between two upland germplasms HS46 (P1) and MARCABUCAG8US-1-88 (P2), double backcross populations BC (P1) and BC (P2) were constructed in 2017 and 2018, respectively. BC (P1) and BC (P2) populations were obtained through backcrossing each of the two parents (HS46 and MARCABUCAG8US-1-88) with the 188 RILs, respectively. The cottonseeds from these backcross populations were used for QTLs analysis of oil, palmitic acid, oleic acid, and linoleic acid contents. To map QTLs for these traits, the mixed linear genetic model and the QTL Network-CL-2.0-Seed software, which were developed especially for seed traits, were applied. In total, seven QTLs for the oil content, three for the palmitic acid content, two for the oleic acid content, and three for the linoleic acid content were detected. Significant additive effects of QTLs from maternal plants and embryos were detected for all the QTLs. Seven QTLs, each of which explained more than 10% of total phenotypic variation, were found. The detected QTLs in the present study may give us better understanding of the molecular inheritance for these four traits, and provide more reliable information for molecular marker assisted breeding.