Gradient boosting and bayesian network machine learning models predict aflatoxin and fumonisin contamination of maize in Illinois – First USA case study by Lina Castano-Duque, Martha Vaughan, James Lindsay, Kristin Barnett, Kanniah Rajasekaran

Get full text

Flavonoids Modulate <i>Aspergillus flavus</i> Proliferation and Aflatoxin Production by Lina Castano-Duque, Matthew D. Lebar, Carol Carter-Wientjes, David Ambrogio, Kanniah Rajasekaran

Get full text

Genes and genetic mechanisms contributing to fall armyworm resistance in maize by Marilyn L. Warburton, Sandra W. Woolfolk, J. Spencer Smith, Leigh K. Hawkins, Lina Castano‐Duque, Matthew D. Lebar, W. Paul Williams

Get full text

Gradient boosting machine learning model to predict aflatoxins in Iowa corn by Emily H. Branstad-Spates, Lina Castano-Duque, Gretchen A. Mosher, Charles R. Hurburgh, Phillip Owens, Edwin Winzeler, Kanniah Rajasekaran, Erin L. Bowers

Get full text

Flavonoids Modulate the Accumulation of Toxins From Aspergillus flavus in Maize Kernels by Lina Castano-Duque, Matthew K. Gilbert, Brian M. Mack, Matthew D. Lebar, Carol H. Carter-Wientjes, Christine M. Sickler, Jeffrey W. Cary, Kanniah Rajasekaran

Get full text

Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning by Lina Castano-Duque, Edwin Winzeler, Joshua M. Blackstock, Cheng Liu, Noemi Vergopolan, Marlous Focker, Kristin Barnett, Phillip Ray Owens, H. J. van der Fels-Klerx, Martha M. Vaughan, Kanniah Rajasekaran

Get full text