MGG_2024v15n1

Maize Genomics and Genetics 2024, Vol.15, No.1, 9-17 http://cropscipublisher.com/index.php/mgg 16 Through this multidisciplinary cooperation, we can more comprehensively understand the growth and development laws of corn, utilize genetic resources more effectively, and ultimately achieve efficient and sustainable corn breeding goals. GWAS and its integrated application with other genetic methods provide new directions and powerful tools for corn quality improvement and breeding strategies. With the continuous advancement of technology and the deepening of scientific research, future corn breeding will be able to better meet the needs of global food security and sustainable agricultural development. Acknowledgments I would like to express our gratitude to the two anonymous peer reviewers for their critical assessment and constructive suggestions on our manuscript. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Chaudhary D.P., Kumar A., Kumar R., Singode A., Mukri G., Sah R.P., and Kumar B., 2016, Evaluation of normal and specialty corn for fodder yield and quality traits, Range Management and Agroforestry, 37(1): 79-83. de Souza Camacho L.R., Coan M.M.D., Scapim C.A., Barth Pinto R.J., Tessmann D.J., and Contreras‐Soto R.I., 2019, A genome‐wide association study for partial resistance to southern corn rust in tropical maize. Plant Breeding, 138(6): 770-780. https://doi.org/10.1111/pbr.12718 Guan S.Y., Dong Z.X., Li H., Sun G.X., and Ma Y.Y., 2016, Application of biotechnology in maize breeding, Jilin Nongye Daxue Xuebao (Journal of Jilin Agricultural University), 38(2): 127-137. Guo J.J., Liu W.S., Zheng Y.X., Liu H., Zhao Y.F., Zhu L.Y., Huang Y.Q., Jia X.Y., and Chen J.T., 2019, Genome-wide association analysis of maize (Zeamays) grain quality related traits based on four test cross populations, Nongye Shengwu Jishu Xuebao (Journal of Agricultural Biotechnology), 27(5): 809-824. Guo X., Ge Z., Wang M., Zhao M., Pei Y., and Song X., 2023, Genome-wide association study of quality traits and starch pasting properties of maize kernels, BMC Genomics, 24(1): 59. https://doi.org/10.1186/s12864-022-09031-4 PMid:36732681 PMCid:PMC9893588 Hageman R.H., Leng E.R., and Dudley J.W., 1967, A biochemical approach to corn breeding, Advances in Agronomy, 19: 45-86. https://doi.org/10.1016/S0065-2113(08)60732-4 Hao H.Q., Liu L.L., Yao Y., Feng X., Li Z.G., Chao Q., Xia R., Liu H.T., Wang B.C., Qin F., Xie Q., and Jing H.C., 2018, Application and prospect of molecular module-based crop design technology in maize breeding, Zhongguo Kexueyuan Yuankan (Bulletin of Chinese Academy of Sciences), 33(9): 923-931. Karikari B., Lemay M.A., and Belzile F., 2023, k-mer-based genome-wide association studies in plants: advances, challenges, and perspectives, Genes, 14(7): 1439. https://doi.org/10.3390/genes14071439 PMid:37510343 PMCid:PMC10379394 Liu H.J., and Yan J., 2019, Crop genome‐wide association study: a harvest of biological relevance, The Plant Journal, 97(1): 8-18. https://doi.org/10.1111/tpj.14139 PMid:30368955 Reddy S.S., Saini D.K., Singh G.M., Sharma S., Mishra V.K., and Joshi A.K., 2023, Genome-wide association mapping of genomic regions associated with drought stress tolerance at seedling and reproductive stages in bread wheat, Frontiers in Plant Science, 14: 1166439. https://doi.org/10.3389/fpls.2023.1166439 PMid:37251775 PMCid:PMC10213333 Ruanjaichon V., Khammona K., Thunnom B., Suriharn K., Kerdsri C., Aesomnuk W., and Toojinda T., 2021, Identification of gene associated with sweetness in corn (Zea mays L.) by genome-wide association study (GWAS) and development of a functional SNP marker for predicting sweet corn, Plants, 10(6): 1239. https://doi.org/10.3390/plants10061239 PMid:34207135 PMCid:PMC8235792 Sahito J.H., Zhang H., Gishkori Z.G.N., Ma C., Wang Z., Ding D., and Tang J., 2024, Advancements and prospects of genome-wide association studies (GWAS) in maize, International Journal of Molecular Sciences, 25(3): 1918. https://doi.org/10.3390/ijms25031918 PMid:38339196 PMCid:PMC10855973 Uffelmann E., Huang Q.Q., Munung N.S., De Vries J., Okada Y., Martin A.R., Lappalainen T., and Posthuma D., 2021, Genome-wide association studies, Nature Reviews Methods Primers, 1(1): 59. https://doi.org/10.1038/s43586-021-00056-9

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