Cargando…
Gradient boosting machine learning model to predict aflatoxins in Iowa corn
INTRODUCTION: Aflatoxin (AFL), a secondary metabolite produced from filamentous fungi, contaminates corn, posing significant health and safety hazards for humans and livestock through toxigenic and carcinogenic effects. Corn is widely used as an essential commodity for food, feed, fuel, and export m...
Autores principales: | Branstad-Spates, Emily H., Castano-Duque, Lina, Mosher, Gretchen A., Hurburgh, Charles R., Owens, Phillip, Winzeler, Edwin, Rajasekaran, Kanniah, Bowers, Erin L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502509/ https://www.ncbi.nlm.nih.gov/pubmed/37720139 http://dx.doi.org/10.3389/fmicb.2023.1248772 |
Ejemplares similares
-
Prevalence and Risk Assessment of Aflatoxin in Iowa Corn during a Drought Year
por: Branstad-Spates, Emily H., et al.
Publicado: (2023) -
Gradient boosting and bayesian network machine learning models predict aflatoxin and fumonisin contamination of maize in Illinois – First USA case study
por: Castano-Duque, Lina, et al.
Publicado: (2022) -
Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning
por: Castano-Duque, Lina, et al.
Publicado: (2023) -
Flavonoids Modulate Aspergillus flavus Proliferation and Aflatoxin Production
por: Castano-Duque, Lina, et al.
Publicado: (2022) -
Developing Resistance to Aflatoxin in Maize and Cottonseed
por: Cary, Jeffrey W., et al.
Publicado: (2011)