Cargando…
Genomic prediction of optimal cross combinations to accelerate genetic improvement of soybean (Glycine max)
Improving yield is a primary soybean breeding goal, as yield is the main determinant of soybean’s profitability. Within the breeding process, selection of cross combinations is one of most important elements. Cross prediction will assist soybean breeders in identifying the best cross combinations am...
Autores principales: | Miller, Mark J., Song, Qijian, Fallen, Benjamin, Li, Zenglu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206060/ https://www.ncbi.nlm.nih.gov/pubmed/37235007 http://dx.doi.org/10.3389/fpls.2023.1171135 |
Ejemplares similares
-
Progresses, Challenges, and Prospects of Genome Editing in Soybean (Glycine max)
por: Xu, Hu, et al.
Publicado: (2020) -
Cloning and Functional Identification of Phosphoethanolamine Methyltransferase in Soybean (Glycine max)
por: Ji, Xiaomin, et al.
Publicado: (2021) -
Molecular Characterization of Magnesium Chelatase in Soybean [Glycine max (L.) Merr.]
por: Zhang, Dan, et al.
Publicado: (2018) -
Genome-wide analysis of cold imbibition stress in soybean, Glycine max
por: Haidar, Siwar, et al.
Publicado: (2023) -
Characterization of a soybean (Glycine max L. Merr.) germplasm collection for root traits
por: Fried, Harrison Gregory, et al.
Publicado: (2018)