Mapping quantitative trait loci associated with starch paste viscosity attributes by using double haploid populations of rice (Oryza sativa L.)
| Autor: | Gaoneng Shao, Lihong Xie, Tahmina Shar, Pei-song Hu, Xiangjin Wei, Shi-kai Hu, Shaoqing Tang, Guiai Jiao, Sajid Fiaz, Umed Ali, Zhonghua Sheng, Fahad Ali |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
quantitative trait loci (QTL) Starch animal diseases Agriculture (General) Population Plant Science Quantitative trait locus 01 natural sciences Biochemistry Japonica S1-972 chemistry.chemical_compound Food Animals education education.field_of_study Oryza sativa Ecology biology rice fungi food and beverages 04 agricultural and veterinary sciences biology.organism_classification Genetic architecture eating and cooking quality (ECQ) Horticulture chemistry RVA profiles 040103 agronomy & agriculture Doubled haploidy 0401 agriculture forestry and fisheries Epistasis Animal Science and Zoology DH population Agronomy and Crop Science 010606 plant biology & botany Food Science |
| Zdroj: | Journal of Integrative Agriculture, Vol 19, Iss 7, Pp 1691-1703 (2020) |
| ISSN: | 2095-3119 |
| Popis: | The paste viscosity attributes of starch, measured by rapid visco analyzer (RVA), are important factors for the evaluation of the cooking and eating qualities of rice in breeding programs. To determine the genetic roots of the paste viscosity attributes of rice grains, quantitative trait loci (QTLs) associated with the paste viscosity attributes were mapped, using a double haploid (DH) population derived from Zhongjiazao 17 (YK17), a super rice variety, crossed with D50, a tropic japonica variety. Fifty-four QTLs, for seven parameters of the RVA profiles, were identified in three planting seasons. The 54 QTLs were located on all of the 12 chromosomes, with a single QTL explaining 5.99 to 47.11% of phenotypic variation. From the QTLs identified, four were repeatedly detected under three environmental conditions and the other four QTLs were repeated under two environments. Most of the QTLs detected for peak viscosity (PKV), trough viscosity (TV), cool paste viscosity (CPV), breakdown viscosity (BDV), setback viscosity (SBV), and peak time (PeT) were located in the interval of RM6775–RM3805 under all three environmental conditions, with the exception of pasting temperature (PaT). For digenic interactions, 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 understanding of the genetic architecture of eating and cooking quality (ECQ) in the rice quality improvement program. |
| Databáze: | OpenAIRE |
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