Integration of Wet-Lab Measures, Milk Infrared Spectra, and Genomics to Improve Difficult-to-Measure Traits in Dairy Cattle Populations

Integration of Wet-Lab Measures, Milk Infrared Spectra, and Genomics to Improve Difficult-to-Measure Traits in Dairy Cattle Populations

The objective of this study was to evaluate the contribution of Fourier-transformed infrared spectroscopy (FTIR) data for dairy cattle breeding through two different approaches: (i) estimating the genetic parameters for 30 measured milk traits and their FTIR predictions and investigating the additiv...

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Bibliographic Details
Main Authors: Alessio Cecchinato, Hugo Toledo-Alvarado, Sara Pegolo, Attilio Rossoni, Enrico Santus, Christian Maltecca, Giovanni Bittante, Francesco Tiezzi
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Genetics
Subjects:
high-throughput phenotyping
Fourier-transformed infrared spectroscopy
genetic parameters
genomic predictions
dairy cattle
single-step GBLUP
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.563393/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2020.563393/full

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