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J E Pryce

Showing results (21-30 of 108) with videos related to

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Journal of Dairy Science|May 19, 2019
Corrigendum to "On the value of the phenotypes in the genomic era" (J. Dairy Sci. 97:7905-7915)O Gonzalez-Recio, M P Coffey, J E Pryce
Journal of Dairy Science|April 30, 2018
The cost-benefit of genomic testing of heifers and using sexed semen in pasture-based dairy herdsJ E Newton, B J Hayes, J E Pryce
Journal of Dairy Science|December 24, 2011
Novel strategies to minimize progeny inbreeding while maximizing genetic gain using genomic informationJ E Pryce, B J Hayes, M E Goddard
Animal : an International Journal of Animal Bioscience|November 20, 2021
Machine learning approaches for the prediction of lameness in dairy cowsS Shahinfar, M Khansefid, M Haile-Mariam, et al.
Journal of Dairy Science|February 24, 2009
Estimation of test-day model (co)variance components across breeds using New Zealand dairy cattle dataS Vanderick, B L Harris, J E Pryce, et al.
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|May 3, 2017
Geno-Diver: A combined coalescence and forward-in-time simulator for populations undergoing selection for complex traitsJ T Howard, F Tiezzi, J E Pryce, et al.
Journal of Dairy Science|February 8, 2021
Validation of milk mid-infrared spectroscopy for predicting the metabolic status of lactating dairy cows in AustraliaP N Ho, T D W Luke, J E Pryce
American Journal of Perinatology|December 1, 2010
One hundred consecutive infants born at 23 weeks and resuscitatedDaniel G Batton, David B DeWitte, Cynthia J E Pryce
Journal of Dairy Science|January 22, 2026
Association of heat tolerance with conformation and fitness traits in dairy cattleL M Jensen, M Haile-Mariam, S Bolormaa, et al.
Journal of Dairy Science|July 27, 2010
Multivariate analysis of a genome-wide association study in dairy cattleS Bolormaa, J E Pryce, B J Hayes, et al.
Pageof 11

Showing results (21-30 of 108) with videos related to

Sort By:
Pageof 11
Journal of Dairy Science|May 19, 2019
Corrigendum to "On the value of the phenotypes in the genomic era" (J. Dairy Sci. 97:7905-7915)O Gonzalez-Recio, M P Coffey, J E Pryce
Journal of Dairy Science|April 30, 2018
The cost-benefit of genomic testing of heifers and using sexed semen in pasture-based dairy herdsJ E Newton, B J Hayes, J E Pryce
Journal of Dairy Science|December 24, 2011
Novel strategies to minimize progeny inbreeding while maximizing genetic gain using genomic informationJ E Pryce, B J Hayes, M E Goddard
Animal : an International Journal of Animal Bioscience|November 20, 2021
Machine learning approaches for the prediction of lameness in dairy cowsS Shahinfar, M Khansefid, M Haile-Mariam, et al.
Journal of Dairy Science|February 24, 2009
Estimation of test-day model (co)variance components across breeds using New Zealand dairy cattle dataS Vanderick, B L Harris, J E Pryce, et al.
Journal of Animal Breeding and Genetics = Zeitschrift Fur Tierzuchtung Und Zuchtungsbiologie|May 3, 2017
Geno-Diver: A combined coalescence and forward-in-time simulator for populations undergoing selection for complex traitsJ T Howard, F Tiezzi, J E Pryce, et al.
Journal of Dairy Science|February 8, 2021
Validation of milk mid-infrared spectroscopy for predicting the metabolic status of lactating dairy cows in AustraliaP N Ho, T D W Luke, J E Pryce
American Journal of Perinatology|December 1, 2010
One hundred consecutive infants born at 23 weeks and resuscitatedDaniel G Batton, David B DeWitte, Cynthia J E Pryce
Journal of Dairy Science|January 22, 2026
Association of heat tolerance with conformation and fitness traits in dairy cattleL M Jensen, M Haile-Mariam, S Bolormaa, et al.
Journal of Dairy Science|July 27, 2010
Multivariate analysis of a genome-wide association study in dairy cattleS Bolormaa, J E Pryce, B J Hayes, et al.
Pageof 11