Integrating genomic and infrared spectral data improves the prediction of milk protein composition in dairy cattle

Baba, T; Pegolo, S; Mota, LFM; Penagaricano, F; Bittante, G; Cecchinato, A; Morota, G

Morota, G (corresponding author), Virginia Polytech Inst & State Univ, Dept Anim & Poultry Sci, Blacksburg, VA 24061 USA.; Pegolo, S (corresponding author), Univ Padua, Dept Agron Food Nat Resources Anim & Environm DAF, Viale Univ 16, I-35020 Legnaro, Italy.

GENETICS SELECTION EVOLUTION, 2021; 53 (1):

Abstract

Background Over the past decade, Fourier transform infrared (FTIR) spectroscopy has been used to predict novel milk protein phenotypes. Genomic data m......

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