Chen, L.; Ma, S.; Li, F.; Li, L.; Yu, W.; Yu, L.; Tang, C.; Liu, C.; Xin, D.; Chen, Q.;
et al. QTL Mapping and Data Mining to Identify Genes Associated with Soybean Epicotyl Length Using Cultivated Soybean and Wild Soybean. Int. J. Mol. Sci. 2024, 25, 3296.
https://doi.org/10.3390/ijms25063296
AMA Style
Chen L, Ma S, Li F, Li L, Yu W, Yu L, Tang C, Liu C, Xin D, Chen Q,
et al. QTL Mapping and Data Mining to Identify Genes Associated with Soybean Epicotyl Length Using Cultivated Soybean and Wild Soybean. International Journal of Molecular Sciences. 2024; 25(6):3296.
https://doi.org/10.3390/ijms25063296
Chicago/Turabian Style
Chen, Lin, Shengnan Ma, Fuxin Li, Lanxin Li, Wenjun Yu, Lin Yu, Chunshuang Tang, Chunyan Liu, Dawei Xin, Qingshan Chen,
and et al. 2024. "QTL Mapping and Data Mining to Identify Genes Associated with Soybean Epicotyl Length Using Cultivated Soybean and Wild Soybean" International Journal of Molecular Sciences 25, no. 6: 3296.
https://doi.org/10.3390/ijms25063296
APA Style
Chen, L., Ma, S., Li, F., Li, L., Yu, W., Yu, L., Tang, C., Liu, C., Xin, D., Chen, Q., & Wang, J.
(2024). QTL Mapping and Data Mining to Identify Genes Associated with Soybean Epicotyl Length Using Cultivated Soybean and Wild Soybean. International Journal of Molecular Sciences, 25(6), 3296.
https://doi.org/10.3390/ijms25063296