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Journal of Dairy Science
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December 14, 2020
Genetic analysis of resilience indicators based on milk yield records in different lactations and at different lactation stages
M Poppe, G Bonekamp, M L van Pelt, et al.
Journal of Dairy Science
|
November 25, 2019
Exploration of variance, autocorrelation, and skewness of deviations from lactation curves as resilience indicators for breeding
M Poppe, R F Veerkamp, M L van Pelt, et al.
Journal of Dairy Science
|
February 19, 2013
Variance component and breeding value estimation for genetic heterogeneity of residual variance in Swedish Holstein dairy cattle
L Rönnegård, M Felleki, W F Fikse, et al.
Journal of Dairy Science
|
July 27, 2011
Genomic and pedigree-based genetic parameters for scarcely recorded traits when some animals are genotyped
R F Veerkamp, H A Mulder, R Thompson, et al.
Animal : an International Journal of Animal Bioscience
|
September 19, 2014
Selecting an appropriate genetic evaluation model for selection in a developing dairy sector
D M McGill, H A Mulder, P C Thomson, et al.
Journal of Dairy Science
|
September 17, 2013
Unraveling the genetic architecture of environmental variance of somatic cell score using high-density single nucleotide polymorphism and cow data from experimental farms
H A Mulder, R E Crump, M P L Calus, et al.
Journal of Animal Science
|
May 3, 2017
Genetic control of residual variance of yearling weight in Nellore beef cattle
L H S Iung, H H R Neves, H A Mulder, et al.
Journal of Dairy Science
|
May 25, 2011
Simultaneous estimation of genotype by environment interaction accounting for discrete and continuous environmental descriptors in Irish dairy cattle
J J Windig, H A Mulder, D I Bohthe-Wilhelmus, et al.
Journal of Dairy Science
|
November 28, 2017
Fluctuations in milk yield are heritable and can be used as a resilience indicator to breed healthy cows
G G Elgersma, G de Jong, R van der Linde, et al.
Journal of Dairy Science
|
July 22, 2019
Genomic selection improves the possibility of applying multiple breeding programs in different environments
M Slagboom, M Kargo, A C Sørensen, et al.
Page
of 6
Search research articles
Search
Showing results (21-30 of 59) with videos related to
Sort By:
Page
of 6
Journal of Dairy Science
|
December 14, 2020
Genetic analysis of resilience indicators based on milk yield records in different lactations and at different lactation stages
M Poppe, G Bonekamp, M L van Pelt, et al.
Journal of Dairy Science
|
November 25, 2019
Exploration of variance, autocorrelation, and skewness of deviations from lactation curves as resilience indicators for breeding
M Poppe, R F Veerkamp, M L van Pelt, et al.
Journal of Dairy Science
|
February 19, 2013
Variance component and breeding value estimation for genetic heterogeneity of residual variance in Swedish Holstein dairy cattle
L Rönnegård, M Felleki, W F Fikse, et al.
Journal of Dairy Science
|
July 27, 2011
Genomic and pedigree-based genetic parameters for scarcely recorded traits when some animals are genotyped
R F Veerkamp, H A Mulder, R Thompson, et al.
Animal : an International Journal of Animal Bioscience
|
September 19, 2014
Selecting an appropriate genetic evaluation model for selection in a developing dairy sector
D M McGill, H A Mulder, P C Thomson, et al.
Journal of Dairy Science
|
September 17, 2013
Unraveling the genetic architecture of environmental variance of somatic cell score using high-density single nucleotide polymorphism and cow data from experimental farms
H A Mulder, R E Crump, M P L Calus, et al.
Journal of Animal Science
|
May 3, 2017
Genetic control of residual variance of yearling weight in Nellore beef cattle
L H S Iung, H H R Neves, H A Mulder, et al.
Journal of Dairy Science
|
May 25, 2011
Simultaneous estimation of genotype by environment interaction accounting for discrete and continuous environmental descriptors in Irish dairy cattle
J J Windig, H A Mulder, D I Bohthe-Wilhelmus, et al.
Journal of Dairy Science
|
November 28, 2017
Fluctuations in milk yield are heritable and can be used as a resilience indicator to breed healthy cows
G G Elgersma, G de Jong, R van der Linde, et al.
Journal of Dairy Science
|
July 22, 2019
Genomic selection improves the possibility of applying multiple breeding programs in different environments
M Slagboom, M Kargo, A C Sørensen, et al.
Page
of 6