Predicting in-season maize (Zea mays L.) yield potential using crop sensors and climatological data

The environment randomly influences nitrogen (N) response, demand, and optimum N rates. Field experiments were conducted at Lake Carl Blackwell (LCB) and Efaw Agronomy Research Station (Efaw) from 2015 to 2018 in Oklahoma, USA. Fourteen site years of data were used from two different trials, namely...

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Detalles Bibliográficos
Autores principales: Dhillon, Jagmandeep, Aula, Lawrence, Eickhoff, Elizabeth, Raun, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351762/
https://www.ncbi.nlm.nih.gov/pubmed/32651438
http://dx.doi.org/10.1038/s41598-020-68415-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351762/
https://www.ncbi.nlm.nih.gov/pubmed/32651438
http://dx.doi.org/10.1038/s41598-020-68415-2

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