Abstract
Genomic selection (GS) can potentially accelerate genetic improvement of soybean [Glycine max L. (Merrill)] by reducing the time to complete breeding cycles. The objectives of this study were to (1) explore the accuracy of GS in soybean, (2) evaluate the contribution of intrapopulational structure to the accuracy of GS, and (3) compare the efficiencies of phenotypic selection and GS in soybean. For this, phenotypic and genotypic data were collected from 324 soybean genotypes (243 recombinant inbred lines and 81 cultivars) and GS was performed for five yield related traits. BayesB methodology with a 10-fold cross-validation was used to compute accuracies. The GS accuracies were evaluated for grain yield, plant height, insertion of first pod, days to maturity, and 1000-grain weight at eight locations. We found that GS can reduce the time required to complete a selection cycle in soybean, which can lead to increased production of this commercially important crop. Furthermore, genotypic accuracy was similar regardless of population structure correction.
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Acknowledgments
The authors extend their gratitude to Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes), for granting the masters and doctoral scholarships. GM, LGW, and IBO were funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) PSDE scholarships: 99999.000044/2015-06, 88881.135500/2016-01, and 88881.131685/2016-01, respectively.
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GM, GB, ASGC, and TF conceived and designed the study. GM developed the recombinant inbred lines (RIL). GM, LGW, ASM, ADZ, RZ, and GB designed and carried out the field trials and generated the phenotypic data. GM, RZ, ADZ, and TF designed and carried out the greenhouse experiment for the genotypic data. GM, IBO, and ASGC carried out the statistical analyses. GM, LGW, and ASM wrote the manuscript. All of authors revised and improved the final manuscript.
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Key Message
Higher efficiency was achieved by genomic selection when compared to phenotypic selection. The correction of population structure did not affect the accuracy of genomic selection models in this soybean population.
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Matei, G., Woyann, L.G., Milioli, A.S. et al. Genomic selection in soybean: accuracy and time gain in relation to phenotypic selection. Mol Breeding 38, 117 (2018). https://doi.org/10.1007/s11032-018-0872-4
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DOI: https://doi.org/10.1007/s11032-018-0872-4