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META-ANALYSIS OF QTL ASSOCIATED WITH STARCH PASTING VISCOSITY IN RICE (ORYZA SATIVA L.)

文献类型: 外文期刊

作者: Youlin, Peng 1 ; Zhang Xia 1 ; Zou Ting 1 ; Wu Fan 1 ; Tang Shiwen 1 ; Li Lamei 1 ; Chen, Yongjun 1 ; Yang Guotao 1 ; Wang Xuechun 1 ; Hu Yungao 1 ;

作者机构: 1.Southwest Univ Sci & Technol, Rice Res Inst, Mianyang 621010, Sichuan, Peoples R China

2.Sichuan Agr Univ, Huimin Rd 211, Chengdu 611130, Peoples R China

3.Mianyang Acad Agr Sci, Songjiang Rd 8, Mianyang 621023, Sichuan, Peoples R China

关键词: Meta-analysis; Rice; Quality; Starch viscosity profile; QTL

期刊名称:BANGLADESH JOURNAL OF BOTANY ( 影响因子:0.339; 五年影响因子:0.34 )

ISSN: 0253-5416

年卷期: 2021 年 50 卷 2 期

页码:

收录情况: SCI

摘要: Rapid Visco Analyzer (RVA) profiles are important traits for indicating rice quality, which are controlled by quantitative trait loci (QTL). In the past two decades, hundreds of QTL for rice RVA profiles have been detected, but without an integration study. Consistent QTL regions associated with rice RVA profiles by QTL meta-analysis with genetic information of 592 QTL for eight RVA profiles were studied. A total of 82 meta-QTL for RVA profiles were detected on 12 chromosomes. MQTL possessed narrower confidence intervals than the initial QTL and candidate genes were identified within each MQTL. These MQTL and candidate genes are beneficial for future marker-assisted selection gene cloning.

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