Mining data from milk mid-infrared spectroscopy and animal characteristics to improve the prediction of dairy cow's liveweight using feature selection algorithms based on partial least squares and Elastic Net regressions

Author:

Zhang Lei,Tedde Anthony,Ho Phuong,Grelet Clément,Dehareng Frédéric,Froidmont Eric,Gengler Nicolas,Brostaux Yves,Hailemariam Dagnachew,Pryce Jennie,Soyeurt Hélène

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference56 articles.

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2. Technical note: Prediction of liveweight from linear conformation traits in dairy cattle;Banos;J. Dairy Sci.,2012

3. An Interdisciplinary Review of Body Condition Scoring for Dairy Cattle;Bewley;Prof. Anim. Sci.,2008

4. Genetic analysis of the Fourier-transform infrared spectra of bovine milk with emphasis on individual wavelengths related to specific chemical bonds;Bittante;J. Dairy Sci.,2013

5. Bjørn-Helge Mevik, R.W., K.H.L., 2019. Partial Least Squares and Principal Component Regression. R package version 2.7-2.

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