APA (7th ed.) Citation

NM, B., M, Y., MA, N., A, M., J, W., FS, B., . . . PF, C. (2025). Population structure, genetic diversity, and GWAS analyses with GBS-derived SNPs and silicodart markers unveil genetic potential for breeding and candidate genes for agronomic and root quality traits in an international sugar beet germplasm collection. BMC plant biology, 25(1), 523. https://doi.org/10.1186/s12870-025-06525-7

Chicago Style (17th ed.) Citation

NM, Bahjat, et al. "Population Structure, Genetic Diversity, and GWAS Analyses with GBS-derived SNPs and Silicodart Markers Unveil Genetic Potential for Breeding and Candidate Genes for Agronomic and Root Quality Traits in an International Sugar Beet Germplasm Collection." BMC Plant Biology 25, no. 1 (2025): 523. https://doi.org/10.1186/s12870-025-06525-7.

MLA (9th ed.) Citation

NM, Bahjat, et al. "Population Structure, Genetic Diversity, and GWAS Analyses with GBS-derived SNPs and Silicodart Markers Unveil Genetic Potential for Breeding and Candidate Genes for Agronomic and Root Quality Traits in an International Sugar Beet Germplasm Collection." BMC Plant Biology, vol. 25, no. 1, 2025, p. 523, https://doi.org/10.1186/s12870-025-06525-7.