Publications

Peer-reviewed publications at QGG

Sort by: Date | Author | Title

Chu, T. T., Alemu, S. W., Norberg, E., Sørensen, A. C., Henshall, J., Hawken, R. & Jensen, J. (2018). Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken. Genetics Selection Evolution, 50(1), Article 52. https://doi.org/10.1186/s12711-018-0430-x

Karaman, E., Lund, M. S., Anche, M. T., Janss, L. & Su, G. (2018). Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome. G3: Genes, Genomes, Genetics (Bethesda), 8(11), 3549-3558. https://doi.org/10.1534/g3.118.200673

Olijhoek, D. W., Løvendahl, P., Lassen, J., Hellwing, A. L. F., Höglund, J. K., Weisbjerg, M. R., Noel, S. J., McLean, F., Højberg, O. & Lund, P. (2018). Methane production, rumen fermentation, and diet digestibility of Holstein and Jersey dairy cows being divergent in residual feed intake and fed at 2 forage-to-concentrate ratios. Journal of Dairy Science, 101(11), 9926-9940. https://doi.org/10.3168/jds.2017-14278

Zhu, Z., Kristensen, L., Difford, G. F., Poulsen, M., Noel, S. J., Abu Al-Soud, W., Sørensen, S. J., Lassen, J., Løvendahl, P. & Højberg, O. (2018). Changes in rumen bacterial and archaeal communities over the transition period in primiparous Holstein dairy cows. Journal of Dairy Science, 101(11), 9847-9862. https://doi.org/10.3168/jds.2017-14366

Li, B., Fikse, F., Løvendahl, P., Lassen, J., Lidauer, M., Mäntysaari, P. & Berglund, B. (2018). Genetic heterogeneity of feed intake, energy-corrected milk, and body weight across lactation in primiparous Holstein, Nordic Red, and Jersey cows. Journal of Dairy Science, 101(11), 10011-10021. https://doi.org/10.3168/jds.2018-14611

Poulsen, N. A., C. Robinson, R., Buitenhuis, A. J., Sundekilde, U. K., Lemay, D. G., Barile, D., Larsen, L. B. & Holm, L.-E. (2018). GWAS and expression of candidate genes for oligosaccharide synthesis in Danish dairy breeds. Abstract from 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, United States.

Poulsen, N. A., Buitenhuis, A. J., Le, T. T. T., Gregersen, V. R., Lindahl, I. E. I., Christensen, B. S., Sørensen, E. S. & Larsen, L. B. (2018). Milk Genomics: Variation in Danish Dairy milk and its possible exploitation in the dairy chain. Abstract from 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, United States.

Mebratie, W., Madsen, P., Hawken, R. & Jensen, J. (2018). Multi-trait estimation of genetic parameters for body weight in a commercial broiler chicken population. Livestock Science, 217, 15-18. https://doi.org/10.1016/j.livsci.2018.09.007

Gao, H., Koivula, M., Jensen, J., Strandén, I., Madsen, P., Pitkänen, T., Aamand, G. P. & Mäntysaari, E. A. (2018). Short communication: Genomic prediction using different single-step methods in the Finnish red dairy cattle population. Journal of Dairy Science, 101(11), 10082-10088. https://doi.org/10.3168/jds.2018-14913

Difford, G. F., Plichta, D. R., Løvendahl, P., Lassen, J., Noel, S. J., Højberg, O., Wright, A.-D. G., Zhu, Z., Kristensen, L., Nielsen, H. B., Guldbrandtsen, B. & Sahana, G. (2018). Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows. PLOS Genetics, 14(10), e1007580. Article e1007580. https://doi.org/10.1371/journal.pgen.1007580

Sorg, D., Difford, G. F., Mühlbach, S., Kuhla, B., Swalve, H. H., Lassen, J., Strabel, T. & Pszczola, M. (2018). Comparison of a laser methane detector with the GreenFeed and two breath analysers for on-farm measurements of methane emissions from dairy cows. Computers and Electronics in Agriculture, 153, 285-294. https://doi.org/10.1016/j.compag.2018.08.024

Vagndorf, N. J., Kristensen, P. S., Andersen, J. R., Jahoor, A. & Orabi, J. (2018). Marker-assisted plant breeding in wheat. In Y. O. Çiftçi (Ed.), Next Generation Plant Breeding (pp. 107). InTechOpen. https://doi.org/10.5772/intechopen.74724

Villumsen, T. M. & Lund, M. S. (2018). Anvendelse af auktionsdata i minkavlen. In S. H. Møller & J. Malmkvist (Eds.), Temadag om aktuel minkforskning: DCA Rapport nr. 129, September 2018 (pp. 30-36). http://web.agrsci.dk/djfpublikation/index.asp?action=show&id=1272

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle. BMC Genomics, 19(1), Article 656. https://doi.org/10.1186/s12864-018-5050-x

Begli, H. E., Torshizi, R. V., Masoudi, A. A., Ehsani, A. & Jensen, J. (2018). Genomic dissection and prediction of feed intake and residual feed intake traits using a longitudinal model in F2 chickens. Animal, 12(9), 1792-1798. https://doi.org/10.1017/S1751731117003354

Larsen, M., Buitenhuis, A. J., Hedemann, M. S. & Sehested, J. (2018). Prediction of individual dairy cow performance using LC-MS metabolome spectra. In R. Baumont, M. Silberberg & I. Cassar-Malek (Eds.), Proceedings of the 10th International Symposium on the Nutrition of Herbivores (Vol. 9). Article 623 Cambridge University Press.

Olesen, J. E., Petersen, S. O., Lund, P., Jørgensen, U., Kristensen, T., Elsgaard, L., Sørensen, P. & Lassen, J. (2018). Virkemidler til reduktion af klimagasser i landbruget. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport No. 130 http://web.agrsci.dk/djfpublikation/index.asp?action=show&id=1273

Liu, A. (2018). Improvement of genetic evaluation and detection of quantitative trait loci for female fertility traits in dairy cattle.

Difford, G. (2018). Genetic control of methane emission, feed efficiency and metagenomics in dairy cattle.

Nayee, N., Sahana, G., Gajjar, S., Sudhakar, A., Trivedi, K., Lund, M. S. & Guldbrandtsen, B. (2018). Suitability of existing commercial single nucleotide polymorphism chips for genomic studies in Bos indicus cattle breeds and their Bos taurus crosses. Journal of Animal Breeding and Genetics (Online), 135(6), 432-441. https://doi.org/10.1111/jbg.12356

Ma, P., Huang, J., Gong, W., Li, X., Gao, H., Zhang, Q., Ding, X. & Wang, C. (2018). The impact of genomic relatedness between populations on the genomic estimated breeding values. Journal of Animal Science and Biotechnology, 9(1), Article 64. https://doi.org/10.1186/s40104-018-0279-4

Guo, X., Cericola, F., Fè, D., Pedersen, M. G., Lenk, I., Jensen, C. S., Jensen, J. & Janss, L. L. (2018). Genomic prediction in tetraploid ryegrass using allele frequencies based on genotyping by sequencing. Frontiers in Plant Science, 9, Article 1165. https://doi.org/10.3389/fpls.2018.01165

Su, G., Madsen, P., Nielsen, B., Ostersen, T., Shirali, M., Jensen, J. & Christensen, O. F. (2018). Estimation of variance components and prediction of breeding values based on group records from varying group sizes. Genetics Selection Evolution, 50(1), Article 42. https://doi.org/10.1186/s12711-018-0413-y

Sverrisdóttir, E., Sundmark, E. H. R., Johnsen, H. Ø., Kirk, H. G., Asp, T., Janss, L., Bryan, G. & Nielsen, K. L. (2018). The value of expanding the training population to improve genomic selection models in tetraploid potato. Frontiers in Plant Science, 9, Article 1118. https://doi.org/10.3389/fpls.2018.01118

Cuyabano, B. C. D., Sørensen, A. C. & Sørensen, P. (2018). Understanding the potential bias of variance components estimators when using genomic models. Genetics Selection Evolution, 50(1), Article 41. https://doi.org/10.1186/s12711-018-0411-0

Zhang, Q., Calus, M., Bosse, M., Sahana, G., Lund, M. S. & Guldbrandtsen, B. (2018). Human-Mediated Introgression of Haplotypes in a Modern Dairy Cattle Breed. Genetics, 209(4), 1305-1317. https://doi.org/10.1534/genetics.118.301143

Wang, X., Gao, H., G. Gebremedhin, K., Schmidt Bjerg, B., Van Os, J., Tucker, C. B. & Zhang, G. (2018). A predictive model of equivalent temperature index for dairy cattle (ETIC). Journal of Thermal Biology, 76, 165-170. https://doi.org/10.1016/j.jtherbio.2018.07.013

Salleh, S. M., Mazzoni, G., Nielsen, M. O., Løvendahl, P. & Kadarmideen, H. (2018). Identification of Expression QTLs Targeting Candidate Genes for Residual Feed Intake in Dairy Cattle Using Systems Genomics. Journal of Genetics and Genome Research, 5(1), Article 035. https://www.clinmedjournals.org/articles/jggr/journal-of-genetics-and-genome-research-jggr-5-035.pdf?jid=jggr

Cao, L. (2018). Effect of G×E on Breeding Cooperation Using Genomic Selection. Abstract from 12th World Conference on Animal Production (WCAP) & 2018 ASAS-CSAS Annual Meeting, Vancouver, British Columbia, Canada.

Mukherjee, A., Mukherjee, S., Dhakal, R., Mech, M., Longkumer, I., Haque, N., Vupru, K., Khate, K., Jamir, I. Y., Pongen, P., Rajkhowa, C., Mitra, A., Guldbrandtsen, B. & Sahana, G. (2018). High-density Genotyping reveals Genomic Characterization, Population Structure and Genetic Diversity of Indian Mithun (Bos frontalis). Scientific Reports, 8(1), Article 10316. https://doi.org/10.1038/s41598-018-28718-x

Marete, A. G., Lund, M. S., Boichard, D. A. & Ramayo-Caldas, Y. (2018). A system-based analysis of the genetic determinism of udder conformation and health phenotypes across three French dairy cattle breeds. PLOS ONE, 13(7), Article e0199931. https://doi.org/10.1371/journal.pone.0199931

Xiang, T., Christensen, O. F., Vitezica, Z. G. & Legarra, A. (2018). Genomic model with correlation between additive and dominance effects. Genetics, 209(3), 711-723. https://doi.org/10.1534/genetics.118.301015

Marete, A. G., Sahana, G., Fritz, S., Lefebvre, R., Barbat, A., Lund, M. S., Guldbrandtsen, B. & Boichard, D. (2018). Genome-wide association study for milking speed in French Holstein cows. Journal of Dairy Science, 101(7), 6205-6219. https://doi.org/10.3168/jds.2017-14067

Shirali, M., Varley, P. F. & Jensen, J. (2018). Bayesian estimation of direct and correlated responses to selection on linear or ratio expressions of feed efficiency in pigs. Genetics Selection Evolution, 50(1), Article 33. https://doi.org/10.1186/s12711-018-0403-0

Rohde, P. D., Sørensen, I. F. & Sørensen, P. (2018). Genomic Feature Prediction Models - Improved Prediction Accuracy by Joint Marker Estimation. Poster session presented at ESHG 2018: European Society of Human Genetics, Milano, Italy.

Christensen, O. F., Kongsted, H. & Lund, M. S., (2018). Evaluering af avl for LG5, No. 2018-760-000656, 35 p., Jun 01, 2018.

Song, H., Li, L., Ma, P., Zhang, S., Su, G., Lund, M. S., Zhang, Q. & Ding, X. (2018). Short communication: Improving the accuracy of genomic prediction of body conformation traits in Chinese Holsteins using markers derived from high-density marker panels. Journal of Dairy Science, 101(6), 5250-5254. https://doi.org/10.3168/jds.2017-13456

López-Correa, R. D., Peñagaricano, F., Rovere, G. & Urioste, J. I. (2018). Genetic parameter estimation for long endurance trials in the Uruguayan Criollo horse. Journal of Animal Breeding and Genetics, 135(3), 186-193. https://doi.org/10.1111/jbg.12324

Rohde, P. D., Østergaard, S., Kristensen, T. N., Sørensen, P., Loeschcke, V., F C Mackay, T. & Sarup, P. M. (2018). Functional validation of candidate genes detected by genomic feature models. G3: Genes, Genomes, Genetics (Bethesda), 8(5), 1659-1668. https://doi.org/10.1534/g3.118.200082

Welderufael, B. G., Løvendahl, P., De Koning, D.-J., Janss, L. & Fikse, F. (2018). Genome-wide association study for susceptibility to and recoverability from mastitis in Danish Holstein cows. Frontiers in Genetics, 9(APR), Article 141. https://doi.org/10.3389/fgene.2018.00141

Villumsen, T. M., Thirstrup, J. P., Lund, M. S. & Malmkvist, J. (2018). Selektion for mere tillidsfulde mink medfører ikke tilbagegang for størrelse, kvalitet og frugtbarhed. In Faglig årsberetning 2017: Kopenhagen Fur Research Annual Report 2017 (pp. 16-21) https://issuu.com/kopenhagenfur/docs/289208__rsberetning_2017

Esfandyari, H., Berg, P. & Sørensen, A. C. (2018). Balanced selection on purebred and crossbred performance increases gain in crossbreds. Genetics Selection Evolution, 50(1), Article 8. https://doi.org/10.1186/s12711-018-0379-9

Cericola, F., Lenk, I., Fè, D., Byrne, S., Jensen, C. S., Pedersen, M. G., Asp, T., Jensen, J. & Janss, L. (2018). Optimized Use of Low-Depth Genotyping-by-Sequencing for Genomic Prediction among multi-parental Family Pools and Single Plants in Perennial Ryegrass (Lolium perenne L.). Frontiers in Plant Science, 9, Article 369. https://doi.org/10.3389/fpls.2018.00369

Bouwman, A. C., Daetwyler, H. D., Chamberlain, A. J., Ponce, C. H., Sargolzaei, M., Schenkel, F. S., Sahana, G., Govignon-Gion, A., Boitard, S., Dolezal, M., Pausch, H., Brøndum, R. F., Bowman, P. J., Thomsen, B., Guldbrandtsen, B., Lund, M. S., Servin, B., Garrick, D. J., Reecy, J. ... Hayes, B. J. (2018). Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals. Nature Genetics, 50(3), 362-372. https://doi.org/10.1038/s41588-018-0056-5

Jardim, J. G., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Association analysis for udder index and milking speed with imputed whole-genome sequence variants in Nordic Holstein cattle. Journal of Dairy Science, 101(3), 2199-2212. https://doi.org/10.3168/jds.2017-12982

Hein, L., Sørensen, L. P., Kargo, M. & Buitenhuis, A. J. (2018). Genetic analysis of predicted fatty acid profiles of milk from Danish Holstein and Danish Jersey cattle populations. Journal of Dairy Science, 101(3), 2148-2157. https://doi.org/10.3168/jds.2017-13225

Zetouni, L., Kargo, M., Norberg, E. & Lassen, J. (2018). Genetic correlations between methane production and fertility, health and body type traits in Danish Holstein cows. Journal of Dairy Science, 101(3), 2273-2280. https://doi.org/10.3168/jds.2017-13402

Karaman, E., Lund, M. S., Anche, M. T., Janss, L. & Su, G. (2018). A two-step approach to account for heterogeneous (co)variances across the genome using GBLUP. Poster session presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Su, G., Madsen, P., Nielsen, B., Ostersen, T., Shirali, M., Jensen, J. & Christensen, O. F. (2018). Efficiency of group records for prediction of breeding values. In Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Methods and Tools - Prediction 3 (pp. 1-6). Article 11.565 WCGALP. http://www.wcgalp.org/proceedings/2018/efficiency-group-records-prediction-breeding-values

Kristensen, P. S., Jahoor, A., Andersen, J. R., Cericola, F., Orabi, J., Janss, L. L. & Jensen, J. (2018). Genome-wide association studies and comparison of models and cross-validation strategies for genomic prediction of quality traits in advanced winter wheat breeding lines. Frontiers in Plant Science, 9, Article 69. https://doi.org/10.3389/fpls.2018.00069

Mesbah-Uddin, M., Guldbrandtsen, B., Iso-Touru, T., Vilkki, J., De Koning, D.-J., Boichard, D., Lund, M. S. & Sahana, G. (2018). Genome-wide mapping of large deletions and their population-genetic properties in dairy cattle. D N A Research, 25(1), 49-59. https://doi.org/10.1093/dnares/dsx037

Nielsen, H. M., Ask, B. & Madsen, P. (2018). Social genetic effects for growth in pigs differ between boars and gilts. Genetics Selection Evolution, 50(1), Article 4. https://doi.org/10.1186/s12711-018-0375-0

Madsen, P., Milkevych, V., Gao, H., Christensen, O. F. & Jensen, J. (2018). DMU - A Package for Analyzing Multivariate Mixed Models in Quantitative Genetics and Genomics. Poster session presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Zaalberg, R. M., Shetty, N., Janss, L. & Buitenhuis, A. J. (2018). Genetic analysis of Fourier transform infrared milk spectra for Danish Holstein and Danish Jersey. 302. Abstract from The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Madsen, M. D., Madsen, P., Nielsen, B. J., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Genetic variance in macro-environmental sensitivity in growth rate in Danish Duroc pigs. Poster session presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2018). Genome-wide association study of the de novo synthesized milk fatty acids based on Dutch, Danish and Chinese Holstein Friesians. 141. Abstract from The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Genotype call for chromosomal deletions using read-depth from whole genome sequence variants in cattle. Poster session presented at The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Shetty, N., Janss, L., Zaalberg, R. M., Kargo, M. & Buitenhuis, A. J. (2018). Lactation stage dependent genome-wide association mapping for longitudinal data of milk fatty acids in dairy cattle using Bayesian mixture models. 321. Abstract from The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Ørsted, M., Rohde, P. D., Hoffmann, A. A., Sørensen, P. & Kristensen, T. N. (2018). Environmental variation partitioned into separate heritable components. Evolution, 72(1), 136-152. https://doi.org/10.1111/evo.13391

Hosseini-Vardanjani, S. M., Mahdi Shariati, M., Janss, L., Christensen, O. F., Anche, M. T. & Lund, M. S. (2018). Accounting for breed origin of alleles increase accuracy of genomic prediction in admixed populations. Poster session presented at World Congress on Genetics Applied to Livestock Production, Auckland, New Zealand.

Madsen, M. D., Madsen, P., Nielsen, B. J., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Adjusting for Macro-Environmental Sensitivity in Growth rate of Danish Landrace and Duroc Pigs. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Marete, A. G., Guldbrandtsen, B., Lund, M. S., Fritz, S., Sahana, G. & Boichard, D. (2018). A Meta-Analysis Including Pre-selected Sequence Variants Associated With Seven Traits in Three French Dairy Cattle Populations. Frontiers in Genetics, 9, Article 522. https://doi.org/10.3389/fgene.2018.00522

Slagboom, M., Wallenbeck, A., Rydhmer, L., Thomasen, J. R. & Kargo, M. (2018). Breeding Goals for Organic Dairy Farming in Denmark Based on the Principles of Organic Agriculture. Paper presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Gajjar, S. G., Guldbrandtsen, B., Su, G., Nayee, N. K., Sahana, G., Trivedi, K. R. & Lund, M. S. (2018). Breed-of-origin specific genomic relationship matrix improves genomic prediction accuracy in crossbred Holstein Friesian cattle in India. In Proceedings of the World Congress on Genetics Applied to Livestock Production 2018: Volume theory to application (Vol. 3). Article 11.754 http://www.wcgalp.org/proceedings/2018/breed-origin-specific-genomic-relationship-matrix-improves-genomic-prediction

Difford, G., Gebreyesus, G., Løvendahl, P., Buitenhuis, A. J., Lassen, J., Guldbrandtsen, B. & Sahana, G. (2018). Can rumen microbes improve prediction of subclinical ketosis in dairy cows? In S. C. (Ed.), Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science (Vol. 24). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-871-1

Guldbrandtsen, B., Nielsen, V. H. & Schönherz, A. (2018). Case Studies using Molecular Data in Breed Conservation. Abstract from Workshop on Genomic Selection. Espoo 2018, Helsinki, Finland.

Rohde, P. D. (2018). Dissecting the genetic variation of schizophrenia and ADHD using an integrative genomic approach.

Slagboom, M., Mulder, H. A., Sørensen, A. C., Hjortø, L., Thomasen, J. R. & Kargo, M. (2018). Effects of specific breeding lines for organic dairy production in Denmark. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Milkevych, V., Madsen, P., Gao, H. & Jensen, J. (2018). Efficient block-Gibbs sampling in variance component estimation for predictions which combine phenotypic and genomic information. 468. Abstract from ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Gao, H., Madsen, P., Aamand, G. & Jensen, J. (2018). Estimation of variance components in populations under genomic selection. Paper presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Boichard, D. A., Boussaha, M., Capitan, A., Rocha, D., Hoze, C., Sanchez, M.-P., Tribout, T., Letaief, R., Croiseau, P., Grohs, C., Li, W., Harland, C., Charlier, C., Lund, M. S., Sahana, G., Georges, M., Barbier, S., Coppieters, W., Fritz, S. & Guldbrandtsen, B. (2018). Experience from large scale use of the EuroGenomics custom SNP chip in cattle. In Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Molecular Genetics 4 (Vol. 11). Article 11.675 http://www.wcgalp.org/proceedings/2018/experience-large-scale-use-eurogenomics-custom-snp-chip-cattle

Zhang, Q. (2018). Exploiting whole genome sequence variants in cattle breeding Unraveling the distribution of genetic variants and role of rare variants in genomic evaluation: Unraveling the distribution of genetic variants and role of rare variants in genomic evaluation.

Marete, A. G., Janss, L., Guldbrandtsen, B., Hoze, C., Sahana, G., Boichard, D. A. & Lund, M. S. (2018). Exploring non-additive variance using genome-wide dense SNP in four French and Nordic dairy cattle breeds. In Proceedings of the World Congress on Genetics Applied to Livestock Production Article 70

Gebreyesus, G. (2018). Fine mapping and genomic prediction for detailed milk composition. Aarhus University, Faculty of Science and Technology.

Yan, X., Liu, A., Dong, G., Guo, G., Li, X., Su, G. & Wang, Y. (2018). Genetic analysis of productive life in Chinese Holstein population. Abstract from 5th International Conference on Quantitative Genetics, Madison, United States.

Zhang, H., Xu, W., Li, X., Luo, H., Liu, A. & Wang, Y. (2018). Genetic analysis of skinfold thickness and its association with body condition score, and milk production traits in Chinese Holstein population. Abstract from ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Gajjar, S. G., Guldbrandtsen, B., Nayee, N. G., Sudhakar, A., Trivedi, K. R., Lund, M. S. & Sahana, G. (2018). Genetic composition, divergence, admixture and use of ancestry informative markers in indigenous breeds of cattle in India. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Challenges - Species Conservation Article 585 http://www.wcgalp.org/archive?f%5Bauthor%5D=14045

Poulsen, N. A., Le, T. T. T., Gregersen, V. R., Christensen, B. S., Sørensen, E. S., Larsen, L. B. & Buitenhuis, A. J. (2018). Genetic parameter estimation of high value milk proteins and whey to casein ratio in Danish Holstein. In Proceedings of the 11th World Congress on Genetics Applied to Livestock Production (WCGALP), Auckland, New Zealand Article 312

Li, B. (2018). Genetic properties of feed efficiency and related traits in dairy cattle.

Liu, A., Wang, Y., Lund, M. S. & Su, G. (2018). Genome-wide association study for female fertility traits in Chinese Holstein population. Abstract from 5th International Conference on Quantitative Genetics, Madison, United States.

Luo, H., Xu, W., Liu, A., Li, X., Liu, L. & Wang, Y. (2018). Genome-wide association study for rectal temperature in Chinese Holstein population. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Article 587 http://www.wcgalp.org/system/files/proceedings/2018/genome-wide-association-study-rectal-temperature-chinese-holstein-population.pdf

Nayee, N. K., Su, G., Gajjar, S. G., Sahana, G., Saha, S., Trivedi, K. R., Guldbrandtsen, B. & Lund, M. S. (2018). Genomic prediction by single-step genomic BLUP using cow reference population in Holstein crossbred cattle in India. Poster session presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Nayee, N. K., Su, G., Gajjar, S., Sahana, G., Saha, S., Trivedi, K. R., Guldbrandtsen, B. & Lund, M. S. (2018). Genomic prediction by single-step genomic BLUP using cow reference population in Holstein crossbred cattle in India. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Theory to Application - 1 (Vol. 11). Article 11.411 http://www.wcgalp.org/proceedings/2018/genomic-prediction-single-step-genomic-blup-using-cow-reference-population-holstein

Su, G., Mansan Gordo, D. G., Li, B., Aamand, G., Lund, M. S. & Lassen, J. (2018). Genomic prediction for dry matter intake in Nordic Holsteins. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 (Vol. Volume Electronic Poster Session - Methods and Tools - Prediction 2). Article 474 WCGALP. http://www.wcgalp.org/system/files/proceedings/2018/genomic-prediction-dry-matter-intake-nordic-holsteins.pdf

Anche, M. T., Su, G., Karaman, E., Janss, L. & Lund, M. S. (2018). Genomic prediction using multi-trait model with heterogeneous genomic (co)variance. In Proceedings of the World Congress on Genetics Applied to Livestock, 2018 (Vol. Volume Methods and Tools - Models and Computing Strategies 2, pp. 1-6). Article 284 http://www.wcgalp.org/system/files/proceedings/2018/genomic-prediction-using-multi-trait-model-heterogeneous-genomic-covariance.pdf

Villumsen, T. M., Su, G., Cai, Z., Guldbrandtsen, B., Asp, T., Sahana, G. & Lund, M. S. (2018). Genomic selection in mink yield higher accuracies with a Bayesian approach allowing for heterogeneous variance than a GBLUP model. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Methods and Tools - Prediction 2 Article 11.618 http://www.wcgalp.org/proceedings/2018/genomic-selection-mink-yield-higher-accuracies-bayesian-approach-allowing

Ankamah-Yeboah, T., Janss, L., Hjortshøj, R. L. & Rasmussen, S. K. (2018). Genomic Selection in Winter Barley: A comparison of One-Step and Two-Step Approach. Abstract from Plant Biology Europe 2018, Copenhagen, Denmark.

Guldbrandtsen, B., Cai, Z., Sahana, G., Villumsen, T. M., Asp, T., Thomsen, B. & Lund, M. S. (2018). Genomics using the Assembly of the Mink Genome. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 1 Article 539 http://www.wcgalp.org/proceedings/2018/genomics-using-assembly-mink-genome

Liu, A., Kargo, M., Höglund, J., Zhang, Z., Thomasen, J. R., Christiansen, I. A., Wang, Y. & Su, G. (2018). Genotype by environment interaction for female fertility traits under conventional and organic production systems in Danish Holsteins. Paper presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Genotype call for chromosomal deletions using read-depth from whole genome sequence variants in cattle. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 3 (Vol. 11). Article 662 http://www.wcgalp.org/proceedings/2018/genotype-call-chromosomal-deletions-using-read-depth-whole-genome-sequence-variants

Nielsen, B. J., Gao, H., Ostersen, T., Su, G., Jensen, J., Madsen, P. & Shirali, M. (2018). Group recordings accounted for drop out animals. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Sarup, P. M., Jensen, J., Ostersen, T., Christensen, O. F. & Sørensen, P. (2018). H1 NMR metabolomic phenotypic prediction of growth in pigs. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Pitkänen, T. J., Mäntysaari, E. A., Nielsen, U. S., Aamand, G. P., Madsen, P., Eriksson, J. & Lidauer, M. H. (2018). Incorporation of observations with different residual error variances into existing complex test-day models. Acta Agriculturae Scandinavica, Section A - Animal Science, 68(1), 11-24. https://doi.org/10.1080/09064702.2018.1541361

Thomasen, J. R., Lassen, J., Gunner Brink Nielsen, G., Borggard, C., Bolvig Stentebjerg, P. R., Hjort Hansen, R., Worsøe Hansen, N. & Borchersen, S. (2018). Individual cow identification in a commercial herd using 3D camera technology. Abstract from ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand. http://www.wcgalp.org/proceedings/2018/individual-cow-identification-commercial-herd-using-3d-camera-technology

Chu, T. T., Madsen, P., Wang, L., Henshall, J., Hawken, R. & Jensen, J. (2018). Influence of age on variance components for bodyweight in commercial male and female broiler chicken. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Schönherz, A. A., Forsberg, R., Guldbrandtsen, B., Buitenhuis, A. J. & Einer-Jensen, K. (2018). Introduction of Viral Hemorrhagic Septicemia Virus into Freshwater Cultured Rainbow Trout Is Followed by Bursts of Adaptive Evolution. Journal of Virology, 92(12), Article e00436-18. https://doi.org/10.1128/JVI.00436-18

Demirovic, D., Buitenhuis, A. J., Poulsen, N. A., Munk, A. & Kargo, M. (2018). Large scale screening of the Danish dairy cattle population for their milk fatty acid profile. Poster session presented at IDF World Dairy Summit 2018, Daejeon, Korea, Republic of.

Difford, G. F., Løvendahl, P., Lassen, J., Guldbrandtsen, B. & Sahana, G. (2018). Microbiability – new insights into (genetic) modelling methane emissions of cattle. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Challenges - Environmental (Vol. 11). Article 405 http://www.wcgalp.org/proceedings/2018/microbiability%E2%80%93-new-insights-genetic-modelling-methane-emissions-cattle

Milkevych, V., Munkholm, L. J., Chen, Y. & Nyord, T. (2018). Modelling approach for soil displacement in tillage using discrete element method. Soil & Tillage Research, 183(November), 60-71. https://doi.org/10.1016/j.still.2018.05.017

Shirali, M., Nielsen, B. J., Ostersen, T., Christensen, O. F., Madsen, P., Su, G. & Jensen, J. (2018). Modelling of grouped recorded data for different population structures in pig breeding. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Displaying results 701 to 800 out of 6818

Revised 19.03.2025

Jette Odgaard Villemoes