| Detection of quantitative trait loci for backfat thickness and intramuscular fat content in pigs (Sus scrofa) DJ de Koning, LLG Janss, AP Rattink, PAM van Oers, BJ de Vries, ... Genetics 152 (4), 1679-1690, 1999 | 429 | 1999 |
| The effect of adipocyte and heart fatty acid-binding protein genes on intramuscular fat and backfat content in Meishan crossbred pigs F Gerbens, DJ De Koning, FL Harders, THE Meuwissen, LL Janss, ... Journal of Animal science 78 (3), 552-559, 2000 | 273 | 2000 |
| A comparison of multivariate genome-wide association methods TE Galesloot, K Van Steen, LALM Kiemeney, LL Janss, SH Vermeulen PloS one 9 (4), e95923, 2014 | 207 | 2014 |
| Genetic variation of susceptibility to Mycobacterium avium subsp. paratuberculosis infection in dairy cattle AP Koets, G Adugna, LLG Janss, HJ Van Weering, CHJ Kalis, ... Journal of dairy science 83 (11), 2702-2708, 2000 | 206 | 2000 |
| Application of Gibbs sampling for inference in a mixed major gene-polygenic inheritance model in animal populations LLG Janss, R Thompson, AM Van Arendonk Theoretical and Applied Genetics 91, 1137-1147, 1995 | 196 | 1995 |
| Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction RF Brøndum, G Su, L Janss, G Sahana, B Guldbrandtsen, D Boichard, ... Journal of dairy science 98 (6), 4107-4116, 2015 | 194 | 2015 |
| Genetic parameters of Legendre polynomials for first parity lactation curves MH Pool, LLG Janss, THE Meuwissen Journal of Dairy Science 83 (11), 2640-2649, 2000 | 184 | 2000 |
| Bayesian statistical analyses for presence of single genes affecting meat quality traits in a crossed pig population LLG Janss, JAM Van Arendonk, EW Brascamp Genetics 145 (2), 395-408, 1997 | 149 | 1997 |
| 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 | 142 | 2007 |
| From genetical genomics to systems genetics: potential applications in quantitative genomics and animal breeding HN Kadarmideen, P von Rohr, LLG Janss Mammalian Genome 17, 548-564, 2006 | 140 | 2006 |
| Multiple QTL mapping in related plant populations via a pedigree-analysis approach M Bink, P Uimari, M Sillanpää, L Janss, R Jansen Theoretical and Applied Genetics 104, 751-762, 2002 | 140 | 2002 |
| The importance of haplotype length and heritability using genomic selection in dairy cattle TM Villumsen, L Janss, MS Lund Journal of Animal Breeding and Genetics 126 (1), 3-13, 2009 | 134 | 2009 |
| Genome-wide association and biological pathway analysis for milk-fat composition in Danish Holstein and Danish Jersey cattle B Buitenhuis, LLG Janss, NA Poulsen, LB Larsen, MK Larsen, ... BMC genomics 15, 1-11, 2014 | 132 | 2014 |
| Genomic selection in cereal breeding CD Robertsen, RL Hjortshøj, LL Janss Agronomy 9 (2), 95, 2019 | 126 | 2019 |
| Genomic prediction of starch content and chipping quality in tetraploid potato using genotyping-by-sequencing E Sverrisdóttir, S Byrne, EHR Sundmark, HØ Johnsen, HG Kirk, T Asp, ... Theoretical and Applied Genetics 130, 2091-2108, 2017 | 108 | 2017 |
| Genomic evaluation of cattle in a multi-breed context MS Lund, G Su, L Janss, B Guldbrandtsen, RF Brøndum Livestock Science 166, 101-110, 2014 | 108 | 2014 |
| An indication of major genes affecting hip and elbow dysplasia in four Finnish dog populations K Mäki, LLG Janss, AF Groen, AE Liinamo, M Ojala Heredity 92 (5), 402-408, 2004 | 105 | 2004 |
| Genomic prediction and GWAS of yield, quality and disease-related traits in spring barley and winter wheat HY Tsai, LL Janss, JR Andersen, J Orabi, JD Jensen, A Jahoor, J Jensen Scientific reports 10 (1), 3347, 2020 | 104 | 2020 |
| Optimizing training population size and genotyping strategy for genomic prediction using association study results and pedigree information. A case of study in advanced wheat … F Cericola, A Jahoor, J Orabi, JR Andersen, LL Janss, J Jensen PloS one 12 (1), e0169606, 2017 | 104 | 2017 |
| Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances G Su, OF Christensen, L Janss, MS Lund Journal of dairy science 97 (10), 6547-6559, 2014 | 101 | 2014 |
