Application of machine learning to explore the genomic prediction accuracy of fall dormancy in autotetraploid alfalfa

Fall dormancy (FD) is an essential trait to overcome winter damage and for alfalfa (Medicago sativa) cultivar selection. The plant regrowth height after autumn clipping is an indirect way to evaluate FD. Transcriptomics, proteomics, and quantitative trait locus mapping have revealed crucial genes co...

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Detalles Bibliográficos
Autores principales: Zhang, Fan, Kang, Junmei, Long, Ruicai, Li, Mingna, Sun, Yan, He, Fei, Jiang, Xueqian, Yang, Changfu, Yang, Xijiang, Kong, Jie, Wang, Yiwen, Wang, Zhen, Zhang, Zhiwu, Yang, Qingchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832841/
https://www.ncbi.nlm.nih.gov/pubmed/36643744
http://dx.doi.org/10.1093/hr/uhac225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832841/
https://www.ncbi.nlm.nih.gov/pubmed/36643744
http://dx.doi.org/10.1093/hr/uhac225

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