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Journal of Dairy Science
|
June 30, 2022
Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?
S Franceschini, C Grelet, J Leblois, et al.
Journal of Dairy Science
|
July 25, 2008
Variation of Delta 9-desaturase activity in dairy cattle
H Soyeurt, F Dehareng, P Mayeres, et al.
Journal of Dairy Science
|
December 13, 2016
Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying
Y de Haas, M Pszczola, H Soyeurt, et al.
Journal of Dairy Science
|
September 4, 2008
Genotype x environment interaction for milk yield in Holsteins using Luxembourg and Tunisian populations
H Hammami, B Rekik, H Soyeurt, et al.
Journal of Dairy Science
|
September 27, 2025
Genetic parameters of mid-infrared-predicted methane production and its relationship with production traits in Walloon Holstein dairy cows
H Atashi, Y Chen, K Wijnrocx, et al.
Journal of Dairy Science
|
April 19, 2008
Genetic parameters for tunisian holsteins using a test-day random regression model
H Hammami, B Rekik, H Soyeurt, et al.
Journal of Dairy Science
|
August 19, 2007
Estimation of heritability and genetic correlations for the major fatty acids in bovine milk
H Soyeurt, A Gillon, S Vanderick, et al.
Journal of Dairy Science
|
May 19, 2020
Predicting milk mid-infrared spectra from first-parity Holstein cows using a test-day mixed model with the perspective of herd management
P Delhez, F Colinet, S Vanderick, et al.
Journal of Dairy Science
|
February 11, 2020
Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?
P Delhez, P N Ho, N Gengler, et al.
Journal of Dairy Science
|
June 8, 2020
Short communication: Potential prediction of vitamin B<sub>12</sub> concentration based on mid-infrared spectral data using Holstein Dairy Herd Improvement milk samples
M Duplessis, D Pellerin, C L Girard, et al.
Page
of 6
Search research articles
Search
Showing results (11-20 of 53) with videos related to
Sort By:
Page
of 6
Journal of Dairy Science
|
June 30, 2022
Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?
S Franceschini, C Grelet, J Leblois, et al.
Journal of Dairy Science
|
July 25, 2008
Variation of Delta 9-desaturase activity in dairy cattle
H Soyeurt, F Dehareng, P Mayeres, et al.
Journal of Dairy Science
|
December 13, 2016
Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying
Y de Haas, M Pszczola, H Soyeurt, et al.
Journal of Dairy Science
|
September 4, 2008
Genotype x environment interaction for milk yield in Holsteins using Luxembourg and Tunisian populations
H Hammami, B Rekik, H Soyeurt, et al.
Journal of Dairy Science
|
September 27, 2025
Genetic parameters of mid-infrared-predicted methane production and its relationship with production traits in Walloon Holstein dairy cows
H Atashi, Y Chen, K Wijnrocx, et al.
Journal of Dairy Science
|
April 19, 2008
Genetic parameters for tunisian holsteins using a test-day random regression model
H Hammami, B Rekik, H Soyeurt, et al.
Journal of Dairy Science
|
August 19, 2007
Estimation of heritability and genetic correlations for the major fatty acids in bovine milk
H Soyeurt, A Gillon, S Vanderick, et al.
Journal of Dairy Science
|
May 19, 2020
Predicting milk mid-infrared spectra from first-parity Holstein cows using a test-day mixed model with the perspective of herd management
P Delhez, F Colinet, S Vanderick, et al.
Journal of Dairy Science
|
February 11, 2020
Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?
P Delhez, P N Ho, N Gengler, et al.
Journal of Dairy Science
|
June 8, 2020
Short communication: Potential prediction of vitamin B<sub>12</sub> concentration based on mid-infrared spectral data using Holstein Dairy Herd Improvement milk samples
M Duplessis, D Pellerin, C L Girard, et al.
Page
of 6