| Predicting quantitative traits with regression models for dense molecular markers and pedigree G De Los Campos, H Naya, D Gianola, J Crossa, A Legarra, E Manfredi, ... Genetics 182 (1), 375-385, 2009 | 795 | 2009 |
| Genomic prediction of breeding values when modeling genotype× environment interaction using pedigree and dense molecular markers J Burgueño, G de los Campos, K Weigel, J Crossa Crop Science 52 (2), 707-719, 2012 | 652 | 2012 |
| Survey of management practices on reproductive performance of dairy cattle on large US commercial farms DZ Caraviello, KA Weigel, PM Fricke, MC Wiltbank, MJ Florent, NB Cook, ... Journal of dairy science 89 (12), 4723-4735, 2006 | 441 | 2006 |
| Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods G de Los Campos, D Gianola, GJM Rosa, KA Weigel, J Crossa Genetics research 92 (4), 295-308, 2010 | 398 | 2010 |
| Genetic selection for health traits using producer-recorded data. I. Incidence rates, heritability estimates, and sire breeding values NR Zwald, KA Weigel, YM Chang, RD Welper, JS Clay Journal of dairy science 87 (12), 4287-4294, 2004 | 377 | 2004 |
| Evaluation of inbreeding depression in Holstein cattle using whole-genome SNP markers and alternative measures of genomic inbreeding DW Bjelland, KA Weigel, N Vukasinovic, JD Nkrumah Journal of dairy science 96 (7), 4697-4706, 2013 | 354 | 2013 |
| Genomic evaluations with many more genotypes PM VanRaden, JR O'Connell, GR Wiggans, KA Weigel Genetics Selection Evolution 43 (1), 10, 2011 | 334 | 2011 |
| Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat D Gianola, H Okut, KA Weigel, GJM Rosa BMC genetics 12 (1), 87, 2011 | 331 | 2011 |
| Controlling inbreeding in modern breeding programs KA Weigel Journal of Dairy Science 84, E177-E184, 2001 | 296 | 2001 |
| Harnessing the genetics of the modern dairy cow to continue improvements in feed efficiency MJ VandeHaar, LE Armentano, K Weigel, DM Spurlock, RJ Tempelman, ... Journal of dairy science 99 (6), 4941-4954, 2016 | 275 | 2016 |
| Fertility of dairy cows after resynchronization of ovulation at three intervals following first timed insemination PM Fricke, DZ Caraviello, KA Weigel, ML Welle Journal of dairy science 86 (12), 3941-3950, 2003 | 242 | 2003 |
| Exploring the role of sexed semen in dairy production systems KA Weigel Journal of Dairy Science 87, E120-E130, 2004 | 238 | 2004 |
| Genomic selection in dairy cattle: Integration of DNA testing into breeding programs JM Schefers, KA Weigel Animal Frontiers 2 (1), 4-9, 2012 | 228 | 2012 |
| Investigation of factors affecting voluntary and involuntary culling in expanding dairy herds in Wisconsin using survival analysis KA Weigel, RW Palmer, DZ Caraviello Journal of dairy science 86 (4), 1482-1486, 2003 | 211 | 2003 |
| Results of a producer survey regarding crossbreeding on US dairy farms KA Weigel, KA Barlass Journal of Dairy Science 86 (12), 4148-4154, 2003 | 195 | 2003 |
| an R package for fitting generalized linear mixed models in animal breeding AI Vazquez, DM Bates, GJM Rosa, D Gianola, KA Weigel Journal of animal science 88 (2), 497-504, 2010 | 192 | 2010 |
| Applied animal genomics: results from the field AL Van Eenennaam, KA Weigel, AE Young, MA Cleveland, JCM Dekkers Annu. Rev. Anim. Biosci. 2 (1), 105-139, 2014 | 188 | 2014 |
| Genetic selection for health traits using producer-recorded data. II. Genetic correlations, disease probabilities, and relationships with existing traits NR Zwald, KA Weigel, YM Chang, RD Welper, JS Clay Journal of dairy science 87 (12), 4295-4302, 2004 | 181 | 2004 |
| Prediction of insemination outcomes in Holstein dairy cattle using alternative machine learning algorithms S Shahinfar, D Page, J Guenther, V Cabrera, P Fricke, K Weigel Journal of dairy science 97 (2), 731-742, 2014 | 170 | 2014 |
| Genetic parameters for reproductive traits of Holstein cattle in California and Minnesota KA Weigel, R Rekaya Journal of Dairy science 83 (5), 1072-1080, 2000 | 169 | 2000 |
