Bandillo N, Jarquin D, Song Q et al (2015) A population structure and genome-wide association analysis on the USDA soybean germplasm collection. Plant Genome. https://doi.org/10.3835/plantgenome2015.04.0024
Article
Google Scholar
Bradbury PJ, Zhang Z, Kroon DE et al (2007) TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics 23:2633–2635
CAS
Article
Google Scholar
Bruce RW, Grainger CM, Ficht A et al (2019a) Trends in soybean trait improvement over generations of selective breeding. Crop Sci 59:12. https://doi.org/10.2135/cropsci2018.11.0664
CAS
Article
Google Scholar
Bruce RW, Torkamaneh D, Grainger C et al (2019b) Genome-wide genetic diversity is maintained through decades of soybean breeding in Canada. Theor Appl Genet. https://doi.org/10.1007/s00122-019-03408-y
Article
PubMed
Google Scholar
Chaudhary J, Patil GB, Sonah H et al (2015) Expanding omics resources for improvement of soybean seed composition traits. Front Plant Sci. https://doi.org/10.3389/fpls.2015.01021
Article
PubMed
PubMed Central
Google Scholar
Cober ER, Molnar SJ, Charette M, Voldeng HD (2010) A new locus for early maturity in soybean. Crop Sci 50:524. https://doi.org/10.2135/cropsci2009.04.0174
Article
Google Scholar
Contreras-Soto RI, Mora F, de Oliveira MAR et al (2017) A genome-wide association study for agronomic traits in soybean using SNP markers and SNP-based haplotype analysis. PLoS ONE 12:e0171105. https://doi.org/10.1371/journal.pone.0171105
CAS
Article
PubMed
PubMed Central
Google Scholar
Core Team R (2018) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna Austria
Google Scholar
Elshire RJ, Glaubitz JC, Sun Q et al (2011) A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PLoS ONE 6:e19379. https://doi.org/10.1371/journal.pone.0019379
CAS
Article
PubMed
PubMed Central
Google Scholar
Fang C, Ma Y, Wu S et al (2017) Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean. Genome Biol. https://doi.org/10.1186/s13059-017-1289-9
Article
PubMed
PubMed Central
Google Scholar
Fu Y-B, Peterson GW, Morrison MJ (2007) Genetic diversity of Canadian soybean cultivars and exotic germplasm revealed by simple sequence repeat markers. Crop Sci 47:1947. https://doi.org/10.2135/cropsci2006.12.0843
CAS
Article
Google Scholar
Glaubitz JC, Casstevens TM, Lu F et al (2014) TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline. PLoS ONE 9:e90346. https://doi.org/10.1371/journal.pone.0090346
CAS
Article
PubMed
PubMed Central
Google Scholar
Grainger CM, Rajcan I (2013) Characterization of the genetic changes in a multi-generational pedigree of an elite Canadian soybean cultivar. Theor Appl Genet. https://doi.org/10.1007/s00122-013-2211-9
Article
PubMed
Google Scholar
Grant D, Nelson RT, Cannon SB, Shoemaker RC (2010) SoyBase, the USDA-ARS soybean genetics and genomics database. Nucleic Acids Res 38:D843–D846. https://doi.org/10.1093/nar/gkp798
CAS
Article
PubMed
Google Scholar
Holland JB, Nyquist WE, Cervantes-Martinez CT (2003) Estimating and interpreting heritability for plant breeding: an update. Plant Breed Rev 22:9–112
Google Scholar
Hyten DL, Choi I-Y, Song Q et al (2007) Highly variable patterns of linkage disequilibrium in multiple soybean populations. Genetics 175:1937–1944. https://doi.org/10.1534/genetics.106.069740
CAS
Article
PubMed
PubMed Central
Google Scholar
Jiang Y, Jiang Q, Hao C et al (2015) A yield-associated gene TaCWI, in wheat: its function, selection and evolution in global breeding revealed by haplotype analysis. Theor Appl Genet 128:131–143. https://doi.org/10.1007/s00122-014-2417-5
CAS
Article
PubMed
Google Scholar
Kang HM, Zaitlen NA, Wade CM et al (2008) Efficient control of population structure in model organism association mapping. Genetics 178:1709–1723. https://doi.org/10.1534/genetics.107.080101
Article
PubMed
PubMed Central
Google Scholar
Lam H-M, Xu X, Liu X et al (2010) Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection. Nat Genet 42:1053–1059. https://doi.org/10.1038/ng.715
CAS
Article
PubMed
Google Scholar
Langewisch T, Zhang H, Vincent R et al (2014) Major soybean maturity gene haplotypes revealed by SNPViz analysis of 72 sequenced soybean genomes. PLoS ONE 9:e94150. https://doi.org/10.1371/journal.pone.0094150
CAS
Article
PubMed
PubMed Central
Google Scholar
Leamy LJ, Zhang H, Li C et al (2017) A genome-wide association study of seed composition traits in wild soybean (Glycine soja). BMC Genom. https://doi.org/10.1186/s12864-016-3397-4
Article
Google Scholar
Li H, Peng Z, Yang X et al (2013) Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels. Nat Genet 45:43–50. https://doi.org/10.1038/ng.2484
CAS
Article
PubMed
Google Scholar
Liu X, Huang M, Fan B et al (2016) Iterative usage of fixed and random effect models for powerful and efficient genome-wide association studies. PLoS Genet 12:e1005767. https://doi.org/10.1371/journal.pgen.1005767
CAS
Article
PubMed
PubMed Central
Google Scholar
Liu S, Kandoth PK, Lakhssassi N et al (2017) The soybean GmSNAP18 gene underlies two types of resistance to soybean cyst nematode. Nat Commun. https://doi.org/10.1038/ncomms14822
Article
PubMed
PubMed Central
Google Scholar
Patil G, Mian R, Vuong T et al (2017) Molecular mapping and genomics of soybean seed protein: a review and perspective for the future. Theor Appl Genet 130:1975–1991. https://doi.org/10.1007/s00122-017-2955-8
CAS
Article
PubMed
PubMed Central
Google Scholar
Qian L, Hickey LT, Stahl A et al (2017) Exploring and harnessing haplotype diversity to improve yield stability in crops. Front Plant Sci. https://doi.org/10.3389/fpls.2017.01534
Article
PubMed
PubMed Central
Google Scholar
Samanfar B, Molnar SJ, Charette M et al (2017) Mapping and identification of a potential candidate gene for a novel maturity locus, E10, in soybean. Theor Appl Genet 130:377–390. https://doi.org/10.1007/s00122-016-2819-7
CAS
Article
PubMed
Google Scholar
SAS Institute (2013) The SAS system for windows. Release 9.4. SAS Inst., Cary, NC
Schmutz J, Cannon SB, Schlueter J et al (2010) Genome sequence of the palaeopolyploid soybean. Nature 463:178–183. https://doi.org/10.1038/nature08670
CAS
Article
PubMed
Google Scholar
Sonah H, Bastien M, Iquira E et al (2013) An improved genotyping by sequencing (GBS) approach offering increased versatility and efficiency of SNP discovery and genotyping. PLoS ONE 8:e54603. https://doi.org/10.1371/journal.pone.0054603
CAS
Article
PubMed
PubMed Central
Google Scholar
Sonah H, O’Donoughue L, Cober E et al (2015) Identification of loci governing eight agronomic traits using a GBS-GWAS approach and validation by QTL mapping in soya bean. Plant Biotechnol J 13:211–221. https://doi.org/10.1111/pbi.12249
CAS
Article
PubMed
Google Scholar
Song Q, Hyten DL, Jia G et al (2015) Fingerprinting soybean germplasm and its utility in genomic research. G3 Genes Genomes Genet 5:1999–2006. https://doi.org/10.1534/g3.115.019000
Article
Google Scholar
Tardivel A, Sonah H, Belzile F, O’Donoughue LS (2014) Rapid identification of alleles at the soybean maturity gene E3 using genotyping by sequencing and a haplotype-based approach. Plant Genome. https://doi.org/10.3835/plantgenome2013.10.0034
Article
Google Scholar
Tardivel A, Torkamaneh D, Lemay M-A et al (2019) A systematic gene-centric approach to define haplotypes and identify alleles based on dense SNP datasets. Plant Genome. https://doi.org/10.3835/plantgenome2018.08.0061
Article
Google Scholar
Torkamaneh D, Laroche J, Bastien M et al (2017) Fast-GBS: a new pipeline for the efficient and highly accurate calling of SNPs from genotyping-by-sequencing data. BMC Bioinform. https://doi.org/10.1186/s12859-016-1431-9
Article
Google Scholar
Torkamaneh D, Laroche J, Valliyodan B et al (2019) Soybean haplotype map (GmHapMap): a universal resource for soybean translational and functional genomics. bioRxiv. https://doi.org/10.1101/534578
Article
Google Scholar
VanRaden PM (2008) Efficient methods to compute genomic predictions. J Dairy Sci 91:4414–4423. https://doi.org/10.3168/jds.2007-0980
CAS
Article
PubMed
Google Scholar
Wang M, Yan J, Zhao J et al (2012) Genome-wide association study (GWAS) of resistance to head smut in maize. Plant Sci 196:125–131. https://doi.org/10.1016/j.plantsci.2012.08.004
CAS
Article
PubMed
Google Scholar
Watanabe S, Hideshima R, Xia Z et al (2009) Map-based cloning of the gene associated with the soybean maturity locus E3. Genetics 182:1251–1262. https://doi.org/10.1534/genetics.108.098772
CAS
Article
PubMed
PubMed Central
Google Scholar
Watanabe S, Xia Z, Hideshima R et al (2011) A map-based cloning strategy employing a residual heterozygous line reveals that the GIGANTEA gene is involved in soybean maturity and flowering. Genetics 188:395–407. https://doi.org/10.1534/genetics.110.125062
CAS
Article
PubMed
PubMed Central
Google Scholar
Wickham H (2016) ggplot2: elegant graphics for data analysis. Springer, New York
Book
Google Scholar
Xia Z, Watanabe S, Yamada T et al (2012) Positional cloning and characterization reveal the molecular basis for soybean maturity locus E1 that regulates photoperiodic flowering. Proc Natl Acad Sci 109:E2155–E2164. https://doi.org/10.1073/pnas.1117982109
Article
PubMed
Google Scholar
Yan L, Hofmann N, Li S et al (2017) Identification of QTL with large effect on seed weight in a selective population of soybean with genome-wide association and fixation index analyses. BMC Genom. https://doi.org/10.1186/s12864-017-3922-0
Article
Google Scholar
Yang Q, Li Z, Li W et al (2013) CACTA-like transposable element in ZmCCT attenuated photoperiod sensitivity and accelerated the postdomestication spread of maize. Proc Natl Acad Sci 110:16969–16974. https://doi.org/10.1073/pnas.1310949110
CAS
Article
PubMed
Google Scholar
Yano K, Yamamoto E, Aya K et al (2016) Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice. Nat Genet 48:927–934. https://doi.org/10.1038/ng.3596
CAS
Article
PubMed
Google Scholar
Zhang Z, Ersoz E, Lai C-Q et al (2010) Mixed linear model approach adapted for genome-wide association studies. Nat Genet 42:355–360. https://doi.org/10.1038/ng.546
CAS
Article
PubMed
PubMed Central
Google Scholar
Zhang J, Wang X, Lu Y et al (2018) Genome-wide scan for seed composition provides insights into soybean quality improvement and the impacts of domestication and breeding. Mol Plant 11:460–472. https://doi.org/10.1016/j.molp.2017.12.016
CAS
Article
PubMed
Google Scholar
Zhao-ming Q, Ya-nan S, Qiong W et al (2011) A meta-analysis of seed protein concentration QTL in soybean. Can J Plant Sci 91:221–230. https://doi.org/10.4141/cjps09193
Article
Google Scholar