Cargando…
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...
Autores principales: | Dhillon, Jagmandeep, Aula, Lawrence, Eickhoff, Elizabeth, Raun, William |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
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 |
Ejemplares similares
-
Macronutrients influence yield and oil quality of hybrid maize (Zea mays L.)
por: Ray, Krishnendu, et al.
Publicado: (2019) -
Identification of Markers Associated with Yield Traits and Morphological Features in Maize (Zea mays L.)
por: Tomkowiak, Agnieszka, et al.
Publicado: (2019) -
Dry Matter Yield of Maize (Zea mays L.) as an Indicator of Mineral Fertilizer Efficiency
por: Szulc, Piotr, et al.
Publicado: (2021) -
Effect of Sowing Methods and NPK Levels on Growth and Yield of
Rainfed Maize (Zea mays L.)
por: Gul, Shamim, et al.
Publicado: (2015) -
Yield Stability Analysis of Maize (Zea mays L.) Hybrids Using Parametric and AMMI Methods
por: Shojaei, Seyed Habib, et al.
Publicado: (2021)