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

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

Abstract Background Over the past decade, Fourier transform infrared (FTIR) spectroscopy has been used to predict novel milk protein phenotypes. Genomic data might help predict these phenotypes when integrated with milk FTIR spectra. The objective of this study was to investigate prediction accuracy...

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Bibliographic Details
Main Authors: Toshimi Baba, Sara Pegolo, Lucio F. M. Mota, Francisco Peñagaricano, Giovanni Bittante, Alessio Cecchinato, Gota Morota
Format: Article
Language:deu
Published: BMC 2021-03-01
Series:Genetics Selection Evolution
Online Access:https://doi.org/10.1186/s12711-021-00620-7

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