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Research paper | Open Access

Breeding design in wheat by combining the QTL information in a GWAS panel with a general genetic map and computer simulation

Xiaobo Wanga,c,d,1Weiwei Maob,1Yongfa WangbHongyao LoubPanfeng GuanbYongming ChenbHuiru Pengb( )Jiankang Wanga,d( )
State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Crop Heterosis and Utilization, Key Laboratory of Crop Genetic Improvement, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Hainan Yazhou Bay Seed Laboratory, Sanya 572025, Hainan, China
National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, Hainan, China

1 These authors contributed equally to this work.

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Abstract

A large amount of genome-wide association study (GWAS) panels together with quantitative-trait locus (QTL) information associated with breeding-targeted traits have been described in wheat (Triticum aestivum L.). However, the application of mapping results from a GWAS panel to conventional wheat breeding remains a challenge. In this study, we first report a general genetic map which was constructed from 44 published linkage maps. It permits the estimation of genetic distances between any two genetic loci with physical map positions, thereby unifying the linkage relationships between QTL, genes, and genomic markers from multiple genetic populations. Second, we describe QTL mapping in a wheat GWAS panel of 688 accessions, identifying 77 QTL associated with 12 yield and grain-quality traits. Because these QTL have known physical map positions, they could be mapped onto the general map. Finally, we present a design approach to wheat breeding by using known QTL information and computer simulation. Potential crosses between parents in the GWAS panel may be evaluated by the relative frequency of the target genotype, trait correlations in simulated progeny populations, and genetic gain of selected progenies. It is possible to simultaneously improve yield and grain quality by suitable parental selection, progeny population size, and progeny selection scheme. Applying the design approach will allow identifying the most promising crosses and selection schemes in advance of the field experiment, increasing predictability and efficiency in wheat breeding.

The Crop Journal
Pages 1816-1827
Cite this article:
Wang X, Mao W, Wang Y, et al. Breeding design in wheat by combining the QTL information in a GWAS panel with a general genetic map and computer simulation. The Crop Journal, 2023, 11(6): 1816-1827. https://doi.org/10.1016/j.cj.2023.10.001

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Received: 05 June 2023
Revised: 09 August 2023
Accepted: 20 October 2023
Published: 29 October 2023
© 2023 Crop Science Society of China and Institute of Crop Science, CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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