Predicting methane emissions of individual grazing dairy cows from spectral analyses of their milk samples-Reference-Cited by-同舟云学术

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Predicting methane emissions of individual grazing dairy cows from spectral analyses of their milk samples

Published:2024-02 Issue:2 Volume:107 Page:978-991
ISSN:0022-0302
Container-title:Journal of Dairy Science
language:en
Short-container-title:Journal of Dairy Science

Author:

McParland S.,Frizzarin M.,Lahart B.,Kennedy M.,Shalloo L.,Egan M.,Starsmore K.,Berry D.P.

Funder

Science Foundation Ireland

Publisher

American Dairy Science Association

Subject

Genetics,Animal Science and Zoology,Food Science

Reference49 articles.

1. Comparison of Bayesian regression models and partial least squares regression for the development of infrared prediction equations;Bonfatti;J. Dairy Sci.,2017

2. Heritability of methane production and genetic correlations with milk yield and body weight in Holstein-Friesian dairy cows;Breider;J. Dairy Sci.,2019

3. Predictions of methane emission levels and categories based on milk fatty acid profiles from dairy cows;Castro-Montoya;Animal,2017

4. Methodological guidelines: Cow milk mid-infrared spectra to predict reference enteric methane data collected by an automated head-chamber system;Coppa;J. Dairy Sci.,2022

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3. Using milk mid-infrared spectroscopy to estimate cow-level nitrogen efficiency metrics;Journal of Dairy Science;2024-08

4. Future Directions for Ruminant Genomics;Veterinary Clinics of North America: Food Animal Practice;2024-08

5. Utilising fatty acid prediction equations and mid‐infrared spectroscopy to estimate the seasonality changes in bovine milk from pasture‐based systems;International Journal of Dairy Technology;2024-07-30

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