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Mapping quantitative trait loci associated with starch paste viscosity attributes by using double haploid populations of rice (Oryza sativa L.)
Tahmina Shar, Zhonghua Sheng*, Umed Ali, Sajid Fiaz, Xiangjin Wei, Lihong Xie, Guiai Jiao, Fahad Ali, Gaoneng Shao, Shikai Hu, Peisong Hu and Shaoqing Tang*
Journal of Integrative Agriculture , 2019,18(0):2-14
DOI:10.1016/S2095-3119(19)62726-7

Abstract


The paste viscosity attributes of starch, measured by rapid visco analyzer (RVA), are important factors for the evaluationof the cooking and eating qualities of rice in breeding programs. To determine the genetic roots of the paste viscosityattributes of rice grains, quantitative trait loci (QTLs) associated with the paste viscosity attributes were mapped, using adouble haploid (DH) population derived from Zhongjiazao 17 (YK17), a super rice variety, crossed with D50, a tropic japonicavariety. Fifty-four QTLs, for seven parameters of the RVA profiles, were identified in three planting seasons. The 54 QTLswere located on all of the 12 chromosomes, with a single QTL explaining 5.99 to 47.11% of phenotypic variation. Fromthe QTLs identified, four were repeatedly detected under three environmental conditions and the other four QTLs wererepeated under two environments. Most of the QTLs detected for peak viscosity (PKV), trough viscosity (TV), cool pasteviscosity (CPV), breakdown viscosity (BDV), setback viscosity (SBV), and peak time (PeT) were located in the interval ofRM6775–RM3805 under all three environmental conditions, with the exception of pasting temperature (PaT). For digenicinteractions, eight QTLs with six traits were identified for additive×environment interactions in all three planting environments.The epistatic interactions were estimated only for PKV, SBV, and PaT. The present study will facilitate further understandingof the genetic architecture of eating and cooking quality (ECQ) in the rice quality improvement program.