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A novel solution to the variable selection problem in Window Pane approaches of plant pathogen – Climate models: Development, evaluation and application of a climatological model for brown rust of wheat

2015-06-01

Abstract excerpt

A model for predicting brown rust severity in France was developed using the systematic screening of climatic variables of the Window Pane approach and data from 400 field trials spanning 30 years. The model was built using novel methods to manage the variable selection problem posed by the very large number of predictor variables generated by Window Pane, namely the elastic-net, and a systematic cross-validation...

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Literature Corpus work
9421e0d2-7dbf-5a42-a47c-d40ae035ad2b
DOI
10.1016/j.agrformet.2015.02.013
Open publication

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A novel solution to the variable selection problem in Window Pane approaches of plant pathogen – Climate models: Development, evaluation and application of a climatological model for brown rust of wheatDOI 10.1016/j.agrformet.2015.02.013
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