Modeling Flood-Induced Stress in Soybeans

Despite the detrimental impact that excess moisture can have on soybean (Glycine max [L.] Merr) yields, most of today's crop models do not capture soybean's dynamic responses to waterlogged conditions. In light of this, we synthesized literature data and used the APSIM software to enhance...

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Detalles Bibliográficos
Autores principales: Pasley, Heather R., Huber, Isaiah, Castellano, Michael J., Archontoulis, Sotirios V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028700/
https://www.ncbi.nlm.nih.gov/pubmed/32117398
http://dx.doi.org/10.3389/fpls.2020.00062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028700/
https://www.ncbi.nlm.nih.gov/pubmed/32117398
http://dx.doi.org/10.3389/fpls.2020.00062

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