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Research paper | Open Access

Detecting the QTL-allele system controlling seed-flooding tolerance in a nested association mapping population of soybean

Muhammad Jaffer Alia,b,c,d,1Guangnan Xinga,b,c,d,e,1Jianbo Hea,b,c,d,eTuanjie Zhaoa,b,c,d,eJunyi Gaia,b,c,d,e,( )
Soybean Research Institute, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China
MARA National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China
MARA Key Laboratory of Biology and Genetic Improvement of Soybean (General), Nanjing Agricultural University, Nanjing 210095, Jiangsu, China
State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China
Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China

1 These authors contributed equally to this study.

Peer review under responsibility of Crop Science Society of China and Institute of Crop Science, CAAS.

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Abstract

Soil flooding stress, including seed-flooding, is a key issue in soybean production in high-rainfall and poorly drained areas. A nested association mapping (NAM) population comprising 230 lines of two recombinant inbred line (RIL) populations with a common parent was established and tested for seed-flooding tolerance using relative seedling length as indicator in two environments. The population was genotyped using RAD-seq (restriction site-associated DNA sequencing) to generate 6137 SNPLDB (SNP linkage disequilibrium block) markers. Using RTM-GWAS (restricted two-stage multi-locus multi-allele genome-wide association study), 26 main-effect QTL with 63 alleles and 12 QEI (QTL × environment) QTL with 27 alleles in a total of 33 QTL with 78 alleles (12 dual-effect alleles) were identified, explaining respectively 50.95% and 14.79% of phenotypic variation. The QTL-alleles were organized into main-effect and QEI matrices to show the genetic architecture of seed-flooding tolerance of the three parents and the NAM population. From the main-effect matrix, the best genotype was predicted to have genotypic value 1.924, compared to the parental value range 0.652–1.069, and 33 candidate genes involved in six biological processes were identified and confirmed by χ2 test. The results may provide a way to match the breeding by design strategy.

The Crop Journal
Pages 781-792
Cite this article:
Ali MJ, Xing G, He J, et al. Detecting the QTL-allele system controlling seed-flooding tolerance in a nested association mapping population of soybean. The Crop Journal, 2020, 8(5): 781-792. https://doi.org/10.1016/j.cj.2020.06.008

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Received: 30 December 2019
Revised: 19 May 2020
Accepted: 22 July 2020
Published: 10 August 2020
© 2020 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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