Search Results - "de Haas, Y"

Refine Results
  1. 1

    Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying by de Haas, Y, Pszczola, M, Soyeurt, H, Wall, E, Lassen, J

    Published in Journal of dairy science (01-02-2017)
    “…Phenotypes have been reviewed to select for lower-emitting animals in order to decrease the environmental footprint of dairy cattle products. This includes…”
    Get more information
    Journal Article
  2. 2

    Selective breeding as a mitigation tool for methane emissions from dairy cattle by de Haas, Y., Veerkamp, R.F., de Jong, G., Aldridge, M.N.

    Published in Animal (Cambridge, England) (01-12-2021)
    “…The global livestock sector, particularly ruminants, contributes substantially to the total anthropogenic greenhouse gases. Management and dietary solutions to…”
    Get full text
    Journal Article
  3. 3

    Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection by Haas, Y de, Windig, J J, Calus, M P L, Dijkstra, J, Haan, M de, Bannink, A, Veerkamp, R F

    Published in Journal of dairy science (01-12-2011)
    “…Mitigation of enteric methane (CH₄) emission in ruminants has become an important area of research because accumulation of CH₄ is linked to global warming…”
    Get more information
    Journal Article
  4. 4

    Invited review: Large-scale indirect measurements for enteric methane emissions in dairy cattle: A review of proxies and their potential for use in management and breeding decisions by Negussie, E, de Haas, Y, Dehareng, F, Dewhurst, R J, Dijkstra, J, Gengler, N, Morgavi, D P, Soyeurt, H, van Gastelen, S, Yan, T, Biscarini, F

    Published in Journal of dairy science (01-04-2017)
    “…Efforts to reduce the carbon footprint of milk production through selection and management of low-emitting cows require accurate and large-scale measurements…”
    Get more information
    Journal Article
  5. 5

    Heritability and genetic correlations between enteric methane production and concentration recorded by GreenFeed and sniffers on dairy cows by van Breukelen, A.E., Aldridge, M.N., Veerkamp, R.F., Koning, L., Sebek, L.B., de Haas, Y.

    Published in Journal of dairy science (01-06-2023)
    “…To reduce methane (CH4) emissions of dairy cows by animal breeding, CH4 measurements have to be recorded on thousands of individual cows. Currently, several…”
    Get full text
    Journal Article
  6. 6

    Symposium review: Development of a funding program to support research on enteric methane mitigation from ruminants by Tricarico, J.M., de Haas, Y., Hristov, A.N., Kebreab, E., Kurt, T., Mitloehner, F., Pitta, D.

    Published in Journal of dairy science (01-10-2022)
    “…Enteric methane is a major source of greenhouse gas emissions from milk production systems. Two organizations based in the United States, the Foundation for…”
    Get full text
    Journal Article
  7. 7

    Genetic parameters for repeatedly recorded enteric methane concentrations of dairy cows by van Breukelen, A.E., Aldridge, M.A., Veerkamp, R.F., de Haas, Y.

    Published in Journal of dairy science (01-05-2022)
    “…Animal breeding techniques offer potential to reduce enteric emissions of ruminants to lower the environmental impact of dairy farming. The aim of this study…”
    Get full text
    Journal Article
  8. 8

    Animal board invited review: genetic possibilities to reduce enteric methane emissions from ruminants by Pickering, N. K., Oddy, V. H., Basarab, J., Cammack, K., Hayes, B., Hegarty, R. S., Lassen, J., McEwan, J. C., Miller, S., Pinares-Patiño, C. S., de Haas, Y.

    Published in Animal (Cambridge, England) (01-09-2015)
    “…Measuring and mitigating methane (CH4) emissions from livestock is of increasing importance for the environment and for policy making. Potentially, the most…”
    Get full text
    Journal Article
  9. 9

    The genetic and biological basis of feed efficiency in mid-lactation Holstein dairy cows by Hardie, L C, VandeHaar, M J, Tempelman, R J, Weigel, K A, Armentano, L E, Wiggans, G R, Veerkamp, R F, de Haas, Y, Coffey, M P, Connor, E E, Hanigan, M D, Staples, C, Wang, Z, Dekkers, J C M, Spurlock, D M

    Published in Journal of dairy science (01-11-2017)
    “…The objective of this study was to identify genomic regions and candidate genes associated with feed efficiency in lactating Holstein cows. In total, 4,916…”
    Get more information
    Journal Article
  10. 10

    Animal Board Invited Review: Comparing conventional and organic livestock production systems on different aspects of sustainability by van Wagenberg, C. P. A., de Haas, Y., Hogeveen, H., van Krimpen, M. M., Meuwissen, M. P. M., van Middelaar, C. E., Rodenburg, T. B.

    Published in Animal (Cambridge, England) (01-10-2017)
    “…To sustainably contribute to food security of a growing and richer world population, livestock production systems are challenged to increase production levels…”
    Get full text
    Journal Article
  11. 11

    International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources by Berry, D P, Coffey, M P, Pryce, J E, de Haas, Y, Løvendahl, P, Krattenmacher, N, Crowley, J J, Wang, Z, Spurlock, D, Weigel, K, Macdonald, K, Veerkamp, R F

    Published in Journal of dairy science (2014)
    “…Feed represents a large proportion of the variable costs in dairy production systems. The omission of feed intake measures explicitly from national dairy cow…”
    Get more information
    Journal Article
  12. 12

    Genomic selection for feed efficiency in dairy cattle by Pryce, J. E., Wales, W. J., de Haas, Y., Veerkamp, R. F., Hayes, B. J.

    Published in Animal (Cambridge, England) (01-01-2014)
    “…Feed is a major component of variable costs associated with dairy systems and is therefore an important consideration for breeding objectives. As a result,…”
    Get full text
    Journal Article
  13. 13

    Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and Australasia by de Haas, Y, Pryce, J E, Calus, M P L, Wall, E, Berry, D P, Løvendahl, P, Krattenmacher, N, Miglior, F, Weigel, K, Spurlock, D, Macdonald, K A, Hulsegge, B, Veerkamp, R F

    Published in Journal of dairy science (01-09-2015)
    “…With the aim of increasing the accuracy of genomic estimated breeding values for dry matter intake (DMI) in Holstein-Friesian dairy cattle, data from 10…”
    Get more information
    Journal Article
  14. 14

    Genomewide association study of methane emissions in Angus beef cattle with validation in dairy cattle by Manzanilla-Pech, C I V, De Haas, Y, Hayes, B J, Veerkamp, R F, Khansefid, M, Donoghue, K A, Arthur, P F, Pryce, J E

    Published in Journal of animal science (01-10-2016)
    “…Methane (CH) is a product of enteric fermentation in ruminants, and it represents around 17% of global CH emissions. There has been substantial effort from the…”
    Get full text
    Journal Article
  15. 15

    Genome-wide association analyses based on a multiple-trait approach for modeling feed efficiency by Lu, Y, Vandehaar, M J, Spurlock, D M, Weigel, K A, Armentano, L E, Connor, E E, Coffey, M, Veerkamp, R F, de Haas, Y, Staples, C R, Wang, Z, Hanigan, M D, Tempelman, R J

    Published in Journal of dairy science (01-04-2018)
    “…Genome-wide association (GWA) of feed efficiency (FE) could help target important genomic regions influencing FE. Data provided by an international dairy FE…”
    Get more information
    Journal Article
  16. 16

    Alternative somatic cell count traits as mastitis indicators for genetic selection by de Haas, Y, Ouweltjes, W, ten Napel, J, Windig, J J, de Jong, G

    Published in Journal of dairy science (01-06-2008)
    “…The aim of this study was to define alternative traits of somatic cell count (SCC) that can be used to decrease genetic susceptibility to clinical and…”
    Get more information
    Journal Article
  17. 17

    Combining cow and bull reference populations to increase accuracy of genomic prediction and genome-wide association studies by Calus, M P L, de Haas, Y, Veerkamp, R F

    Published in Journal of dairy science (01-10-2013)
    “…Genomic selection holds the promise to be particularly beneficial for traits that are difficult or expensive to measure, such that access to phenotypes on…”
    Get more information
    Journal Article
  18. 18

    Genetic parameters between feed-intake-related traits and conformation in 2 separate dairy populations--the Netherlands and United States by Manzanilla-Pech, C I V, Veerkamp, R F, Tempelman, R J, van Pelt, M L, Weigel, K A, VandeHaar, M, Lawlor, T J, Spurlock, D M, Armentano, L E, Staples, C R, Hanigan, M, De Haas, Y

    Published in Journal of dairy science (01-01-2016)
    “…To include feed-intake-related traits in the breeding goal, accurate estimates of genetic parameters of feed intake, and its correlations with other related…”
    Get more information
    Journal Article
  19. 19

    Applicability of day-to-day variation in behavior for the automated detection of lameness in dairy cows by de Mol, R M, André, G, Bleumer, E J B, van der Werf, J T N, de Haas, Y, van Reenen, C G

    Published in Journal of dairy science (01-06-2013)
    “…Lameness is a major problem in modern dairy husbandry and has welfare implications and other negative consequences. The behavior of dairy cows is influenced by…”
    Get more information
    Journal Article
  20. 20

    Effect of predictor traits on accuracy of genomic breeding values for feed intake based on a limited cow reference population by Pszczola, M., Veerkamp, R. F., de Haas, Y., Wall, E., Strabel, T., Calus, M. P. L.

    Published in Animal (Cambridge, England) (01-11-2013)
    “…The genomic breeding value accuracy of scarcely recorded traits is low because of the limited number of phenotypic observations. One solution to increase the…”
    Get full text
    Journal Article