Yvette de Haas
Yvette de Haas
Researcher at Wageningen UR Livestock Research
Geverifieerd e-mailadres voor wur.nl
Geciteerd door
Geciteerd door
Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection
Y De Haas, JJ Windig, MPL Calus, J Dijkstra, M De Haan, A Bannink, ...
Journal of dairy science 94 (12), 6122-6134, 2011
The effect of pathogen-specific clinical mastitis on the lactation curve for somatic cell count
Y de Haas, HW Barkema, RF Veerkamp
Journal of dairy science 85 (5), 1314-1323, 2002
Associations between pathogen-specific cases of clinical mastitis and somatic cell count patterns
Y De Haas, RF Veerkamp, HW Barkema, YT GrŲhn, YH Schukken
Journal of dairy science 87 (1), 95-105, 2004
Animal board invited review: genetic possibilities to reduce enteric methane emissions from ruminants
NK Pickering, VH Oddy, J Basarab, K Cammack, B Hayes, RS Hegarty, ...
animal 9 (9), 1431-1440, 2015
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†…
E Negussie, Y de Haas, F Dehareng, RJ Dewhurst, J Dijkstra, N Gengler, ...
Journal of Dairy Science 100 (4), 2433-2453, 2017
Somatic cell count distributions during lactation predict clinical mastitis
MJ Green, LE Green, YH Schukken, AJ Bradley, EJ Peeler, HW Barkema, ...
Journal of dairy science 87 (5), 1256-1264, 2004
International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources
DP Berry, MP Coffey, JE Pryce, Y De Haas, P LÝvendahl, ...
Journal of dairy science 97 (6), 3894-3905, 2014
Genomic selection for feed efficiency in dairy cattle
JE Pryce, WJ Wales, Y De Haas, RF Veerkamp, BJ Hayes
Animal 8 (1), 1-10, 2014
Genetic and phenotypic parameters for conformation and yield traits in three Swiss dairy cattle breeds
Y De Haas, LLG Janss, HN Kadarmideen
Journal of Animal Breeding and Genetics 124 (1), 12-19, 2007
Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries
RJ Tempelman, DM Spurlock, M Coffey, RF Veerkamp, LE Armentano, ...
Journal of Dairy Science 98 (3), 2013-2026, 2015
Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying
Y de Haas, M Pszczola, H Soyeurt, E Wall, J Lassen
Journal of Dairy Science 100 (2), 855-870, 2017
Alternative somatic cell count traits as mastitis indicators for genetic selection
Y De Haas, W Ouweltjes, J Ten Napel, JJ Windig, G De Jong
Journal of Dairy Science 91 (6), 2501-2511, 2008
Local cattle breeds in Europe: development of policies and strategies for self-sustaining breeds
SJ Hiemstra, Y de Haas, A Mški-Tanila, G Gandini
Wageningen Academic Publishers, 2010
Applicability of day-to-day variation in behavior for the automated detection of lameness in dairy cows
RM De Mol, G Andrť, EJB Bleumer, JTN Van der Werf, Y De Haas, ...
Journal of dairy science 96 (6), 3703-3712, 2013
Improved accuracy of genomic prediction for dry matter intake of dairy cattle from combined European and Australian data sets
Y De Haas, MPL Calus, RF Veerkamp, E Wall, MP Coffey, HD Daetwyler, ...
Journal of Dairy Science 95 (10), 6103-6112, 2012
Predicted accuracy of and response to genomic selection for new traits in dairy cattle
MPL Calus, Y De Haas, M Pszczola, RF Veerkamp
Animal 7 (2), 183-191, 2013
Animal Board Invited Review: Comparing conventional and organic livestock production systems on different aspects of sustainability
CPA van Wagenberg, Y de Haas, H Hogeveen, MM Van Krimpen, ...
Animal 11 (10), 1839-1851, 2017
The genetic and biological basis of feed efficiency in mid-lactation Holstein dairy cows
LC Hardie, MJ VandeHaar, RJ Tempelman, KA Weigel, LE Armentano, ...
Journal of dairy science 100 (11), 9061-9075, 2017
Genetic parameters across lactation for feed intake, fat-and protein-corrected milk, and liveweight in first-parity Holstein cattle
CIVM Pech, RF Veerkamp, MPL Calus, R Zom, A Van Knegsel, JE Pryce, ...
Journal of Dairy Science 97 (9), 5851-5862, 2014
Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and Australasia
Y De Haas, JE Pryce, MPL Calus, E Wall, DP Berry, P LÝvendahl, ...
Journal of dairy science 98 (9), 6522-6534, 2015
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