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Animal Science and Veterinary

D-Index
36
Citations
4391
World Ranking
1635
National Ranking
54

Overview

Y. de Haas is a researcher affiliated with Wageningen University & Research in the Netherlands. Their work primarily spans the fields of Agricultural and Biological Sciences and Biochemistry, Genetics and Molecular Biology, with a focus on subfields including Animal Science and Zoology, Agronomy and Crop Science, Genetics, Ecology, and Small Animals.

The researcher's contributions cover a variety of topics related to livestock, emphasizing the effects of environmental stressors, genetic and phenotypic traits, nutrition and digestive physiology of ruminants, agriculture sustainability, animal behavior and welfare, odor and emission control technologies, and meat and animal product quality.

Frequent coauthors collaborating with them include R.F. Veerkamp, C. Kamphuis, M.N. Aldridge, A.E. van Breukelen, and E.D. Ellen.

Their recent papers include:

  • "Selective breeding as a mitigation tool for methane emissions from dairy cattle," 2021, published in animal
  • "Assessing the Activity of Individual Group-Housed Broilers Throughout Life Using a Passive Radio Frequency Identification System-A Validation Study," 2020, published in Sensors
  • "Can greenhouse gases in breath be used to genetically improve feed efficiency of dairy cows?", 2020, published in Journal of Dairy Science
  • "Resilience: reference measures based on longer-term consequences are needed to unlock the potential of precision livestock farming technologies for quantifying this trait," 2022, published in Peer Community Journal
  • "Adaptation of Livestock to New Diets Using Feed Components without Competition with Human Edible Protein Sources-A Review of the Possibilities and Recommendations," 2021, published in Animals

Y. de Haas has published extensively in several journals, with the most frequent venues including Journal of Dairy Science, Poultry Science, animal, Sensors, and Peer Community Journal.

Best Publications

  • Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection.

    Y. de Haas;J.J. Windig;M.P.L. Calus;J. Dijkstra

  • The effect of pathogen-specific clinical mastitis on the lactation curve for somatic cell count.

    Y. de Haas;H.W. Barkema;R.F. Veerkamp

  • 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.

    E. Negussie;Y. De Haas;F. Dehareng;R. J. Dewhurst

  • Animal board invited review: genetic possibilities to reduce enteric methane emissions from ruminants.

    N. K. Pickering;V. H. Oddy;J. Basarab;K. Cammack

  • Associations between pathogen-specific cases of clinical mastitis and somatic cell count patterns.

    Y. de Haas;R.F. Veerkamp;H.W. Barkema;Y.T. Gröhn

  • Somatic cell count distributions during lactation predict clinical mastitis.

    M.J. Green;L.E. Green;Y.H. Schukken;A.J. Bradley

  • International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources

    Donagh P. Berry;M.P. Coffey;J.E. Pryce;Y. De Haas

  • Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries.

    RJ Tempelman;DM Spurlock;MP Coffey;RF Veerkamp

  • Genetic and phenotypic parameters for conformation and yield traits in three Swiss dairy cattle breeds

    Y. De Haas;L.L.G. Janss;H.N. Kadarmideen

  • Genomic selection for feed efficiency in dairy cattle

    J. E. Pryce;W. J. Wales;Y. de Haas;R. F. Veerkamp

  • Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying.

    Y. de Haas;M. Pszczola;H. Soyeurt;E. Wall

  • Alternative somatic cell count traits as mastitis indicators for genetic selection.

    Y. de Haas;W. Ouweltjes;J. ten Napel;J.J. Windig

  • Selective breeding as a mitigation tool for methane emissions from dairy cattle

    Y. de Haas;R.F. Veerkamp;G. de Jong;M.N. Aldridge

  • Local cattle breeds in Europe : development of policies and strategies for self-sustaining breeds

    S.J. Hiemstra;Y. de Haas;A. Mäkit-Tanila;G. Gandini

  • Improved accuracy of genomic prediction for dry matter intake of dairy cattle from combined European and Australian data sets.

    Y. de Haas;M.P.L. Calus;R.F. Veerkamp;E. Wall

  • Applicability of day-to-day variation in behavior for the automated detection of lameness in dairy cows

    R.M. de Mol;G. André;E.J.B. Bleumer;J.T.N. van der Werf

  • Animal Board Invited Review: Comparing conventional and organic livestock production systems on different aspects of sustainability

    C.P.A. van Wagenberg;Y. de Haas;H. Hogeveen;M.M. van Krimpen

  • Predicted accuracy of and response to genomic selection for new traits in dairy cattle.

    M.P.L. Calus;Y. de Haas;M.J. Pszczola;R.F. Veerkamp

  • The genetic and biological basis of feed efficiency in mid-lactation Holstein dairy cows

    L. C. Hardie;M. J. VandeHaar;R. J. Tempelman;K. A. Weigel

  • Genetic parameters across lactation for feed intake, fat- and protein-corrected milk, and liveweight in first-parity Holstein cattle.

    C.I.V. Manzanilla Pech;R.F. Veerkamp;M.P.L. Calus;R.L.G. Zom

  • Invited review: Determination of large-scale individual dry matter intake phenotypes in dairy cattle.

    D.J. Seymour;A. Cánovas;C.F. Baes;T.C.S. Chud

  • Combining somatic cell count traits for optimal selection against mastitis

    J.J. Windig;W. Ouweltjes;J. ten Napel;G. de Jong

  • Validation of an Ultra-Wideband Tracking System for Recording Individual Levels of Activity in Broilers

    Malou van der Sluis;Malou van der Sluis;Britt de Klerk;Esther D. Ellen;Yvette de Haas

  • Can greenhouse gases in breath be used to genetically improve feed efficiency of dairy cows

    G.F. Difford;G.F. Difford;P. Løvendahl;R.F. Veerkamp;H. Bovenhuis

  • Adaptation of Livestock to New Diets Using Feed Components without Competition with Human Edible Protein Sources-A Review of the Possibilities and Recommendations.

    Marinus F. W. te Pas;Teun Veldkamp;Yvette de Haas;André Bannink

  • A data-driven prediction of lifetime resilience of dairy cows using commercial sensor data collected during first lactation.

    Wijbrand Ouweltjes;Mirjam Spoelstra;Bart Ducro;Yvette de Haas

  • The relationship between gait and automated recordings of individual broiler activity levels.

    Malou van der Sluis;Esther D. Ellen;Britt de Klerk;T. Bas Rodenburg;T. Bas Rodenburg

  • Corrigendum to "Genetic parameters between feed-intake-related traits and conformation in 2 separate dairy populations-the Netherlands and United States" (J. Dairy Sci. 99:443-457).

    C.I.V. Manzanilla-Pech;R.F. Veerkamp;R.J. Tempelman;M.L. van Pelt

Frequent Co-Authors

Roel F. Veerkamp
Roel F. Veerkamp Wageningen University & Research
Kent A. Weigel
Kent A. Weigel University of Wisconsin–Madison
Mike Coffey
Mike Coffey Scotland's Rural College
Jennie E. Pryce
Jennie E. Pryce La Trobe University
Jack J. Windig
Jack J. Windig Wageningen University & Research
Robert J. Tempelman
Robert J. Tempelman Michigan State University
M.J. VandeHaar
M.J. VandeHaar Michigan State University
Louis E. Armentano
Louis E. Armentano University of Wisconsin–Madison
C.R. Staples
C.R. Staples University of Florida
Erin E. Connor
Erin E. Connor University of Delaware

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