Takip et
Yvette de Haas
Yvette de Haas
Researcher at Wageningen UR Livestock Research
wur.nl üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
2932011
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
2622002
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
2062015
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
1872017
Associations between pathogen-specific cases of clinical mastitis and somatic cell count patterns
Y De Haas, RF Veerkamp, HW Barkema, YT Gröhn, YH Schukken
Journal of dairy science 87 (1), 95-105, 2004
1812004
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
1612004
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
1462014
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 Løvendahl, ...
Journal of dairy science 97 (6), 3894-3905, 2014
1442014
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
1392017
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
1392015
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
1372007
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
1212008
Applicability of day-to-day variation in behavior for the automated detection of lameness in dairy cows
RM De Mol, G André, EJB Bleumer, JTN Van der Werf, Y De Haas, ...
Journal of dairy science 96 (6), 3703-3712, 2013
1102013
Local cattle breeds in Europe
SJ Hiemstra, Y De Haas, A Mäki-Tanila, G Gandini
Development of policies and strategies for self-sustaining breeds …, 2010
1042010
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
1002017
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
952012
Selective breeding as a mitigation tool for methane emissions from dairy cattle
Y de Haas, RF Veerkamp, G De Jong, MN Aldridge
Animal 15, 100294, 2021
892021
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
892017
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
892013
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 Løvendahl, ...
Journal of dairy science 98 (9), 6522-6534, 2015
812015
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