Legume Genomics and Genetics 2026, Vol.17, No.1, 49-67 http://cropscipublisher.com/index.php/lgg 63 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 Abebe A., Kolawole A., Unachukwu N., Chigeza G., Tefera H., and Gedil M., 2021, Assessment of diversity in tropical soybean (Glycine max (L.) Merr.) varieties and elite breeding lines using single nucleotide polymorphism markers, Plant Genetic Resources: Characterization and Utilization, 19(1): 20-28. https://doi.org/10.1017/S1479262121000034 Andrijanić Z., Nazzicari N., Šarčević H., Sudarić A., Annicchiarico P., and Pejić I., 2023, Genetic diversity and population structure of european soybean germplasm revealed by single nucleotide polymorphism, Plants, 12(9): 1837. https://doi.org/10.3390/plants12091837 Bandillo N., Jarquín D., Song Q., Nelson R., Cregan P., Specht J., and Lorenz A., 2015, A population structure and genome-wide association analysis on the USDA soybean germplasm collection, The Plant Genome, 8(2): plantgenome2015.04.0024. https://doi.org/10.3835/plantgenome2015.04.0024 Bhat J.A., Adeboye K.A., Ganie S.A., Barmukh R., Hu D., Varshney R.K., and Yu D., 2022, Genome-wide association study, haplotype analysis, and genomic prediction reveal the genetic basis of yield-related traits in soybean (Glycine max L.), Frontiers in Genetics, 13: 953833. https://doi.org/10.3389/fgene.2022.953833 Bunjkar A., Walia P., and Sandal S., 2024, Unlocking genetic diversity and germplasm characterization with molecular markers: strategies for crop improvement, Journal of Advances in Biology and Biotechnology, 27(6): 873. https://doi.org/10.9734/jabb/2024/v27i6873 Ćeran M., Đorđević V., Miladinović J., Vasiljević M., Đukić V., Ranđelović P., and Jaćimović S., 2024, Selective genotyping and phenotyping for optimization of genomic prediction models for populations with different diversity, Plants, 13(7): 975. https://doi.org/10.3390/plants13070975 Chander S., Garcia-Oliveira A., Gedil M., Shah T., Otusanya G., Asiedu R., and Chigeza G., 2021, Genetic diversity and population structure of soybean lines adapted to sub-saharan africa using single nucleotide polymorphism (SNP) markers, Agronomy, 11(3): 604. https://doi.org/10.3390/agronomy11030604 Contreras-Soto R.I., Mora F., de Oliveira M.A.R., Higashi W., Scapim C.A., and Schuster I., 2017, A genome-wide association study for agronomic traits in soybean using SNP markers and SNP-based haplotype analysis, PLOS ONE, 12(2): e0171105. https://doi.org/10.1371/journal.pone.0171105 da Silva A.J., da Silva D.C.G., Ferreira E.G., Abdelnoor R.V., Borém A., Arias C.A.A., and Marcelino-Guimarães F.C., 2025, Genetic diversity, population structure in a historical panel of Brazilian soybean cultivars, PLOS ONE, 20(1): e0313151. https://doi.org/10.1371/journal.pone.0313151 Diers B.W., Specht J., Rainey K.M., Cregan P., Song Q., Ramasubramanian V., Graef G., Nelson R., Schapaugh W., Wang D., Shannon G., McHale L., Kantartzi S., Xavier A., Mian R., Stupar R., Michno J., An Y., Goettel W., Ward R., Fox C., Lipka A., Hyten D., Cary T., and Beavis W.D., 2018, Genetic Architecture of Soybean Yield and Agronomic Traits, G3: Genes|Genomes|Genetics, 8(10): 3367-3375. https://doi.org/10.1534/g3.118.200332 Dong Q., Cheng Y., Li Y., Tong Y., Liu D., Yu J., Zhao N., Liu B., Ding X., and Xu C., 2025, Genome-wide association study and genomic prediction of essential agronomic traits in diversity panel of soybean varieties, Agronomy, 15(5): 1181. https://doi.org/10.3390/agronomy15051181 Duan Z., Xu L., Zhou G., Zhu Z., Wang X., Shen Y., Tian Z., and Fang C., 2025, Unlocking soybean potential: genetic resources and omics for breeding, Journal of Genetics and Genomics, 52(4): 100997. https://doi.org/10.1016/j.jgg.2025.02.004 Ferreira S.C., Dias P.P., Rezende A.A., Gomes B.F., Bonetti A.M., and Nogueira A.P.O., 2025, Analysis of genetic diversity in soybean based on agronomic traits and microsatellite markers, Ciência e Agrotecnologia, 49: e017424. https://doi.org/10.1590/1413-7054202549017424 Fu Y.B., Cober E.R., Morrison M.J., Marsolais F., Peterson G.W., and Horbach C., 2021, Patterns of genetic variation in a soybean germplasm collection as characterized with genotyping-by-sequencing, Plants, 10(8): 1611. https://doi.org/10.3390/plants10081611 Gai Y., Liu S., Zhang Z., Wei J., Wang H., Liu L., Bai Q., Qin Q., Zhao C., Zhang S., Xiang N., and Zhang X., 2025, Integrative approaches to soybean resilience, productivity, and utility: a review of genomics, computational modeling, and economic viability, Plants, 14(5): 671. https://doi.org/10.3390/plants14050671 Guo Y., Li Y., Hong H., and Qiu L., 2014, Establishment of the integrated applied core collection and its comparison with mini core collection in soybean (Glycine max), The Crop Journal, 2(1): 38-45. Hasan N., Choudhary S., Naaz N., Sharma N., and Laskar R.A., 2021, Recent advancements in molecular marker-assisted selection and applications in plant breeding programmes, Journal of Genetic Engineering and Biotechnology, 19(1): 128. https://doi.org/10.1186/s43141-021-00231-1
RkJQdWJsaXNoZXIy MjQ4ODYzNA==