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Identification and Verification of Quantitative Trait Loci Affecting Milling Yield of Rice

文献类型： 外文期刊

作者： Zhang, Hui 1 ; Zhu, Yu-Jun 2 ; Zhu, An-Dong 2 ; Fan, Ye-Yang 2 ; Huang, Ting-Xu 4 ; Zhang, Jian-Fu 4 ; Xie, Hua-An 1 ; Zh 1 ;

作者机构： 1.Fujian Agr & Forestry Univ, Coll Crop Sci, Fuzhou 350002, Peoples R China

2.China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou 310006, Peoples R China

3.China Natl Rice Res Inst, Chinese Natl Ctr Rice Improvement, Hangzhou 310006, Peoples R China

4.Fujian Acad Agr Sci, Rice Res Inst, Natl Ctr Rice Improvement, Fuzhou 350018, Peoples R China

5.Fujian Acad Agr Sci, Fuzhou Branch, Natl Ctr Rice Improvement, Fuzhou 350018, Peoples R China

关键词： brown rice recovery; milled rice recovery; head rice recovery; milling yield traits; QTL mapping; rice (Oryza sativa L.)

期刊名称：AGRONOMY-BASEL （ 影响因子：3.417； 五年影响因子：3.64 ）

ISSN：

年卷期： 2020 年 10 卷 1 期

页码：

收录情况： SCI

摘要： Rice is generally consumed in the form of milled rice. The yield of total milled rice and head mill rice is affected by both the paddy rice yield and milling efficiency. In this study, three recombinant inbred line (RIL) populations and one F-4:5 population derived from a residual heterozygous (RH) plant were used to determine quantitative trait loci (QTLs) affecting milling yield of rice. Seven traits were analyzed, including recovery of brown rice (BR), milled rice (MR) and head rice (HR); grain yield (GY); and the yield of brown rice (BRY), milled rice (MRY) and head rice (HRY). A total of 77 QTLs distributed on 35 regions was detected in the three RIL populations. Four regions, where qBR5, qBR7, qBR10, and qBR12 were located, were validated in the RH-derived F-4:5 population. In the three RIL populations, all the 11 QTLs for GY detected were accompanied with QTLs for two or all the three milling yield traits. Not only the allele direction for milling yield traits was unchanged, but also the effects were consistent with GY. In the RH-derived F-4:5 population, regions controlling GY also affected all three milling yield traits. Results indicated that variations of BRY and MRY were mainly ascribed to GY, but HRY was determined by both GY and HR. Results also showed that the regions covering GW5-Chalk5 and Wx loci had major effects on milling quality and milling yield of rice. These two regions, which have been known to affect multiple traits determining grain quality and yield of rice, provide good candidates for milled yield improvement.

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