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Selection of the Most Informative Wavenumbers to Improve Prediction Accuracy of Milk Fatty Acid Profile Based on Milk Mid-Infrared Spectra Data

2023-10-20

Abstract excerpt

Milk MIR spectra have been shown to provide valuable information on a wide range of traits to be used in dairy cattle breeding programs. Selecting the most informative variables from complex data can improve prediction accuracy and model robustness and, consequently, the interpretability of MIR spectra. Thus, we aimed to investigate the prediction performance of feature selection methods based on MIR spectra data,...

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Literature Corpus work
0bba7bc2-1264-5fa0-b18e-fff7817cc562
DOI
10.20944/preprints202310.1324.v1
Open publication

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Selection of the Most Informative Wavenumbers to Improve Prediction Accuracy of Milk Fatty Acid Profile Based on Milk Mid-Infrared Spectra DataDOI 10.20944/preprints202310.1324.v1
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