| 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 | 296 | 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 | 259 | 2002 |
| 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 | 203 | 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 | 184 | 2017 |
| 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 | 182 | 2004 |
| 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 | 163 | 2004 |
| 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 | 147 | 2014 |
| 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 | 146 | 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 | 139 | 2007 |
| 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 | 138 | 2017 |
| 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 | 138 | 2015 |
| 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 | 121 | 2008 |
| 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 | 108 | 2013 |
| Local cattle breeds in Europe: development of policies and strategies for self-sustaining breeds SJ Hiemstra, Y de Haas, A Mäki-Tanila, G Gandini Wageningen Academic Publishers, 2010 | 108 | 2010 |
| 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 | 102 | 2017 |
| 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 | 95 | 2012 |
| 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 | 92 | 2017 |
| 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 | 90 | 2013 |
| 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 | 83 | 2021 |
| 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 | 82 | 2015 |
Roel VeerkampProf. Numerieke genetica en genomica, ABGC, Wageningen Livestock ResearchVerified email at wur.nl