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Identification of reliable QTLs and designed QTL breeding for grain shape and milling quality in the reciprocal introgression lines in rice

文献类型： 外文期刊

作者： Emelin, Mwenda 1 ; Qiu, Xianjin 2 ; Fan, Fangjun 3 ; Alamin, Md. 4 ; Faruquee, Muhiuddin 5 ; Hu, Hui 2 ; Xu, Junying 2 ; Yang, Jie 3 ; Xu, Haiming 4 ; Ali, Jauhar 6 ; Liu, Bailong 7 ; Shi, Yumin 7 ; Li, Zhikang 1 ; Zhang, Luyan 1 ; Zheng, Tianqing 1 ; Xu, Jianlong 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Crop Sci, State Key Lab Crop Gene Resources & Breeding,Natl, Minist Agr,Inst Crop Sci, Beijing 100081, Peoples R China

2.Yangtze Univ, Coll Agr, Key Lab Sustainable Crop Prod Middle Reaches Yangt, Minist Agr & Rural Affairs MARA, Jingzhou 434025, Peoples R China

3.Jiangsu Acad Agr Sci, Inst Food Crops, Jiangsu High Qual Rice Res & Dev Ctr, Nanjing Branch China Natl Ctr Rice Improvement, Nanjing 210014, Peoples R China

4.Zhejiang Univ, Inst Crop Sci, Coll Agr & Biotechnol, Hangzhou 310058, Peoples R China

5.Int Rice Res Inst, Bangladesh Off, Dhaka 1213, Bangladesh

6.Int Rice Res Inst, DAPO Box 7777, Manila, Philippines

7.Guangxi Acad Agr Sci, Rice Res Inst, Nanning 530007, Peoples R China

8.Chinese Acad Agr Sci, Natl Nanfan Res Inst, Sanya 572024, Peoples R China

关键词： Reciprocal introgression lines; Milling quality; Trait correlation; Genetic overlap; Multi-environment

期刊名称：BMC PLANT BIOLOGY （ 影响因子：5.3； 五年影响因子：5.9 ）

ISSN： 1471-2229

年卷期： 2024 年 24 卷 1 期

页码：

收录情况： SCI

摘要： Milling quality (MQ) and grain shape (GS) of rice (Oryza sativa L.) are correlated traits, both determine farmers' final profit. More than one population under multiple environments may provide valuable information for breeding selection on these MQ-GS correlations. However, suitable analytical methods for reciprocal introgression lines with linkage map for this kind of correlation remains unclear. In this study, our major tasks were (1) to provide a set of reciprocal introgression lines (composed of two BC2RIL populations) suitable for mapping by linkage mapping using markers/bins with physical positions; (2) to test the mapping effects of different methods by using MQ-GS correlation dissection as sample case; (3) to perform genetic and breeding simulation on pyramiding favorite alleles of QTLs for representative MQ-GS traits. Finally, with four analysis methods and data collected under five environments, we identified about 28.4 loci on average for MQ-GS traits. Notably, 52.3% of these loci were commonly detected by different methods and eight loci were novel. There were also nine regions harboring loci for different MQ-GS traits which may be underlying the MQ-GS correlations. Background independent (BI) loci were also found for each MQ and GS trait. All these information may provide useful resources for rice molecular breeding.

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