Search research articles
Contact Us
Filters
Showing results (1-10 of 11) with videos related to
Page
of 2
Sort By:
Journal of Animal Science
|
April 30, 2026
Learning to Predict Pellet Quality: A Machine Learning and Feature Engineering Approach
Jihao You, D Tulpan, C Krziyzek, et al.
Animal : an International Journal of Animal Bioscience
|
September 2, 2023
Comparison of imputation methods for missing production data of dairy cattle
J You, J L Ellis, S Adams, et al.
Journal of Dairy Science
|
December 25, 2022
Phenotypic analysis of heat stress in Holsteins using test-day production records and NASA POWER meteorological data
Paige L Rockett, I L Campos, C F Baes, et al.
Journal of Dairy Science
|
August 10, 2023
Genetic evaluation of heat tolerance in Holsteins using test-day production records and NASA POWER weather data
Paige L Rockett, I L Campos, C F Baes, et al.
Journal of Dairy Science
|
June 2, 2024
Use of rumination time in health risk assessment of prepartum dairy cows
M G S Santos, N Antonacci, C Van Dorp, et al.
Journal of Dairy Science
|
September 2, 2022
Machine learning classification of breeding protocol descriptions from Canadian Holsteins
L M Alcantara, F S Schenkel, C Lynch, et al.
Animal : an International Journal of Animal Bioscience
|
March 7, 2020
Review: Synergy between mechanistic modelling and data-driven models for modern animal production systems in the era of big data
J L Ellis, M Jacobs, J Dijkstra, et al.
Journal of Dairy Science
|
April 30, 2025
A genome-wide association study on rumination time in first-lactation dairy cattle
L S F Lopes, P A S Fonseca, B O Makanjuola, et al.
Animal : an International Journal of Animal Bioscience
|
July 2, 2023
Review: When worlds collide - poultry modeling in the 'Big Data' era
E M Leishman, J You, N T Ferreira, et al.
Journal of Dairy Science
|
February 4, 2024
Estimates of genetic parameters for rumination time, feed efficiency, and methane production traits in first-lactation Holstein cows
L S F Lopes, F S Schenkel, K Houlahan, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Journal of Animal Science
|
April 30, 2026
Learning to Predict Pellet Quality: A Machine Learning and Feature Engineering Approach
Jihao You, D Tulpan, C Krziyzek, et al.
Animal : an International Journal of Animal Bioscience
|
September 2, 2023
Comparison of imputation methods for missing production data of dairy cattle
J You, J L Ellis, S Adams, et al.
Journal of Dairy Science
|
December 25, 2022
Phenotypic analysis of heat stress in Holsteins using test-day production records and NASA POWER meteorological data
Paige L Rockett, I L Campos, C F Baes, et al.
Journal of Dairy Science
|
August 10, 2023
Genetic evaluation of heat tolerance in Holsteins using test-day production records and NASA POWER weather data
Paige L Rockett, I L Campos, C F Baes, et al.
Journal of Dairy Science
|
June 2, 2024
Use of rumination time in health risk assessment of prepartum dairy cows
M G S Santos, N Antonacci, C Van Dorp, et al.
Journal of Dairy Science
|
September 2, 2022
Machine learning classification of breeding protocol descriptions from Canadian Holsteins
L M Alcantara, F S Schenkel, C Lynch, et al.
Animal : an International Journal of Animal Bioscience
|
March 7, 2020
Review: Synergy between mechanistic modelling and data-driven models for modern animal production systems in the era of big data
J L Ellis, M Jacobs, J Dijkstra, et al.
Journal of Dairy Science
|
April 30, 2025
A genome-wide association study on rumination time in first-lactation dairy cattle
L S F Lopes, P A S Fonseca, B O Makanjuola, et al.
Animal : an International Journal of Animal Bioscience
|
July 2, 2023
Review: When worlds collide - poultry modeling in the 'Big Data' era
E M Leishman, J You, N T Ferreira, et al.
Journal of Dairy Science
|
February 4, 2024
Estimates of genetic parameters for rumination time, feed efficiency, and methane production traits in first-lactation Holstein cows
L S F Lopes, F S Schenkel, K Houlahan, et al.
Page
of 2