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Genetic Association between Blast Resistance and Yield Traits in Rice Detected Using a High-Density Bin Map

文献类型: 外文期刊

作者: Kanyange, Lydia 1 ; Fan, Ye-Yang 1 ; Zhang, Zhen-Hua 1 ; Huang, De-Run 1 ; Huang, Ting-Xu 2 ; Zhuang, Jie-Yun 1 ; Zhu, Yu-Jun 1 ;

作者机构: 1.China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou 310006, Peoples R China

2.Fujian Acad Agr Sci, Rice Res Inst, Fuzhou 350018, Peoples R China

关键词: favorable association; blast resistance; yield trait; quantitative trait locus; bin map; rice

期刊名称:AGRONOMY-BASEL ( 影响因子:3.949; 五年影响因子:4.117 )

ISSN:

年卷期: 2022 年 12 卷 5 期

页码:

收录情况: SCI

摘要: Avoiding linkage drag of the resistance genes will facilitate the use of gene resources for rice breeding. This study was conducted to confirm the avoidance of linkage drag due to Pi26 and Pi25 blast resistance genes, and to analyze the association of Pi26, Pi25, Pib and Pita with quantitative trait loci (QTL) for yield traits. A recombinant inbred line population was derived from an indica rice cross Dan 71/Zhonghui 161. A linkage map consisting of 1219 bin markers, 22 simple sequence repeats and five gene markers was constructed. A total of 75 QTL were identified, including 2 for leaf blast resistance and 73 for eight yield traits. The two QTL for blast resistance were closely linked and located in the Pi26 and Pi25 regions, explaining 69.06 and 12.73% of the phenotypic variance, respectively. In a region covering Pi26 and Pi25, QTL were detected for grain yield and its key components. The alleles for enhancing blast resistance and grain yield were all from Dan 71. Not only was the linkage drag due to Pi26 and Pi25 avoided, but the results also indicate that these resistance genes may be used for simultaneously enhancing blast resistance and grain yield in rice. In the Pib and Pita regions, QTL was not detected for blast resistance, but was for yield traits. In each region, the allele for improving trait performance was derived from the parent carrying the resistance allele. In addition, four QTL clusters for grain weight and size, qGL4/ qGW4.1, qGL11.2/ qRLW11, qTGW11/ qGW11 and qGL12/ qGW12/qRLW12, were shown to be promising candidates for map-based cloning.

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