Evaluating maize and soybean grain dry-down in the field with predictive algorithms and genotype-by-environment analysis

A delayed harvest of maize and soybean crops is associated with yield or revenue losses, whereas a premature harvest requires additional costs for artificial grain drying. Accurately predicting the ideal harvest date can increase profitability of US Midwest farms, but today’s predictive capacity is...

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Detalles Bibliográficos
Autores principales: Martinez-Feria, Rafael A., Licht, Mark A., Ordóñez, Raziel A., Hatfield, Jerry L., Coulter, Jeffrey A., Archontoulis, Sotirios V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509253/
https://www.ncbi.nlm.nih.gov/pubmed/31073235
http://dx.doi.org/10.1038/s41598-019-43653-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509253/
https://www.ncbi.nlm.nih.gov/pubmed/31073235
http://dx.doi.org/10.1038/s41598-019-43653-1

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