Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Y de Haas

Showing results (41-50 of 53) with videos related to

Pageof 6
Sort By:
Journal of Dairy Science|August 5, 2004
Somatic cell count distributions during lactation predict clinical mastitisM J Green, L E Green, Y H Schukken, et al.
Journal of Dairy Science|November 19, 2013
Short communication: Validation of genomic breeding value predictions for feed intake and feed efficiency traitsJ E Pryce, O Gonzalez-Recio, J B Thornhill, et al.
Animal : an International Journal of Animal Bioscience|June 10, 2015
Animal board invited review: genetic possibilities to reduce enteric methane emissions from ruminantsN K Pickering, V H Oddy, J Basarab, et al.
Journal of Dairy Science|April 16, 2014
International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sourcesD P Berry, M P Coffey, J E Pryce, et al.
Journal of Dairy Science|January 14, 2015
Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countriesR J Tempelman, D M Spurlock, M Coffey, et al.
Journal of Dairy Science|July 20, 2015
Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and AustralasiaY de Haas, J E Pryce, M P L Calus, et al.
Journal of Dairy Science|November 21, 2016
Modeling genetic and nongenetic variation of feed efficiency and its partial relationships between component traits as a function of management and environmental factorsY Lu, M J Vandehaar, D M Spurlock, et al.
Journal of Dairy Science|July 1, 2019
Invited review: Determination of large-scale individual dry matter intake phenotypes in dairy cattleD J Seymour, A Cánovas, C F Baes, et al.
Journal of Dairy Science|February 4, 2018
Genome-wide association analyses based on a multiple-trait approach for modeling feed efficiencyY Lu, M J Vandehaar, D M Spurlock, et al.
Journal of Dairy Science|November 9, 2015
Genetic parameters between feed-intake-related traits and conformation in 2 separate dairy populations--the Netherlands and United StatesC I V Manzanilla-Pech, R F Veerkamp, R J Tempelman, et al.
Pageof 6

Showing results (41-50 of 53) with videos related to

Sort By:
Pageof 6
Journal of Dairy Science|August 5, 2004
Somatic cell count distributions during lactation predict clinical mastitisM J Green, L E Green, Y H Schukken, et al.
Journal of Dairy Science|November 19, 2013
Short communication: Validation of genomic breeding value predictions for feed intake and feed efficiency traitsJ E Pryce, O Gonzalez-Recio, J B Thornhill, et al.
Animal : an International Journal of Animal Bioscience|June 10, 2015
Animal board invited review: genetic possibilities to reduce enteric methane emissions from ruminantsN K Pickering, V H Oddy, J Basarab, et al.
Journal of Dairy Science|April 16, 2014
International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sourcesD P Berry, M P Coffey, J E Pryce, et al.
Journal of Dairy Science|January 14, 2015
Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countriesR J Tempelman, D M Spurlock, M Coffey, et al.
Journal of Dairy Science|July 20, 2015
Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and AustralasiaY de Haas, J E Pryce, M P L Calus, et al.
Journal of Dairy Science|November 21, 2016
Modeling genetic and nongenetic variation of feed efficiency and its partial relationships between component traits as a function of management and environmental factorsY Lu, M J Vandehaar, D M Spurlock, et al.
Journal of Dairy Science|July 1, 2019
Invited review: Determination of large-scale individual dry matter intake phenotypes in dairy cattleD J Seymour, A Cánovas, C F Baes, et al.
Journal of Dairy Science|February 4, 2018
Genome-wide association analyses based on a multiple-trait approach for modeling feed efficiencyY Lu, M J Vandehaar, D M Spurlock, et al.
Journal of Dairy Science|November 9, 2015
Genetic parameters between feed-intake-related traits and conformation in 2 separate dairy populations--the Netherlands and United StatesC I V Manzanilla-Pech, R F Veerkamp, R J Tempelman, et al.
Pageof 6