LGG_2024v15n3

Legume Genomics and Genetics 2024, Vol.15, No.3, 126-139 http://cropscipublisher.com/index.php/lgg 138 Continued innovation, collaboration, and data sharing will be key to realizing the full potential of these technologies and addressing the global challenges of food security and environmental sustainability. Acknowledgments The authors sincerely thank the two anonymous peer reviewers for their valuable comments and suggestions on the manuscript. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Belzile F., Jean M., Torkamaneh D., Tardivel A., Lemay M.A., Boudhrioua C., Arsenault-Labrecque G., Dussault-Benoit C., Lebreton, A., de Ronne M., Tremblay V., Labbé C., O’Donoughue L., Boucher St-Amour V.T., Copley T.R., Fortier E., Ste-Croix D.T., Mimee B., Cober E., Rajcan I., Warkentin T., Gagnon É., Legay S., Auclair J., and Bélanger R., 2022, The soyagen project: putting genomics to work for soybean breeders, Frontiers in Plant Science, 13: 887553. https://doi.org/10.3389/fpls.2022.887553 Bernardo R., 2016, Optimizing genomic selection in recurrent selection programs: insights from maize, Genetics, 202(2): 639-647. Bhat J., and Yu D., 2021, High-throughput NGS-based genotyping and phenotyping: role in genomics-assisted breeding for soybean improvement, Legume Science, 3(3): e81. https://doi.org/10.1002/leg3.81 Chandra S., Choudhary M., Bagaria P., Nataraj V., Kumawat G., Choudhary J., Sonah H., Gupta S., Wani S.H., and Ratnaparkhe M., 2022, Progress and prospectus in genetics and genomics of phytophthora root and stem rot resistance in soybean (Glycine max L.), Frontiers in Genetics, 13: 939182. https://doi.org/10.3389/fgene.2022.939182 Chaudhary J., Deshmukh R., Mir Z., and Bhat J., 2018, Metabolomics: an emerging technology for soybean improvement, EcoProduction, 2019: 175-186. https://doi.org/10.1007/978-3-319-92399-4_12 Che Z., Yan H., Liu H., Yang H., Du H., Yang Y., and Liu B., 2020, Genome-wide association study for soybean mosaic virus SC3 resistance in soybean, Molecular Breeding, 40: 1-14. https://doi.org/10.1007/s11032-020-01149-1 Do P., Nguyen C.X., Bui H., Tran L.T.N., Stacey G., Gillman J., Zhang Z.J., and Stacey M., 2019, Demonstration of highly efficient dual gRNA CRISPR/Cas9 editing of the homeologous GmFAD2-1A and GmFAD2-1B genes to yield a high oleic, low linoleic and α-linolenic acid phenotype in soybean, BMC Plant Biology, 19: 1906. https://doi.org/10.1186/s12870-019-1906-8 Du H., Fang C., Li Y., Kong F., and Liu B., 2022, Understandings and future challenges in soybean functional genomics and molecular breeding, Journal of Integrative Plant Biology, 65(2): 468-495. https://doi.org/10.1111/jipb.13433 Dubiela C.R., Montecelli T.D., Lazzari F., Souto E.R., and Schuster I., 2019, Development and validation of SNP assays for the selection of resistance to Meloidogyne incognita in soybean, Crop Breeding and Applied Biotechnology, 19(1): 102-109. https://doi.org/10.1590/1984-70332019v19n1a14 Duhnen A., Gras A., Teyssedre S., Romestant M., Claustres B., Daydé J., and Mangin B., 2017, Genomic selection for yield and seed protein content in soybean: a study of breeding program data and assessment of prediction accuracy, Crop Science, 57: 1325-1337. https://doi.org/10.2135/cropsci2016.06.0496 Espindola S., Hamawaki O.T., Oliveira A.P., Hamawaki C., Hamawaki R.L., and Takahashi L.M., 2016, Selecting soybean resistant to the cyst nematode Heterodera glycines using simple sequence repeat (microssatellite) markers, Genetics and Molecular Research, 15(1): 1-7. https://doi.org/10.4238/gmr.15016850 Jin Z., Zhang X., Shen S., Wang X., and Liu W., 2023, Digital breeding: Intelligent acceleration of breeding process and innovative soybean breeding program using genomics, Plant Science, 316: 111-120. Kim J.M., Kim K., Jung J., Kang B., Lee J., Ha B., and Kang S., 2020, Validation of marker-assisted selection in soybean breeding program for pod shattering resistance, Euphytica, 216: 1-9. https://doi.org/10.1007/s10681-020-02703-w Kim K., Vuong T., Qiu D., Robbins R., Shannon J.G., Li Z., and Nguyen H., 2016, Advancements in breeding, genetics, and genomics for resistance to three nematode species in soybean, Theoretical and Applied Genetics, 129: 2295-2311. https://doi.org/10.1007/s00122-016-2816-x Li Z., Stewart-Brown B.B., Steketee C.J., and Vaughn J.N., 2017, Impact of genomic research on soybean breeding, The Soybean Genome, 2017: 111-129. https://doi.org/10.1007/978-3-319-64198-0_8 Nagamine A., and Ezura H., 2022, Genome editing for improving crop nutrition, Frontiers in Genome Editing, 4: 850104. https://doi.org/10.3389/fgeed.2022.850104

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