Publications

Peer-reviewed publications at QGG

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Sahana, G., Guldbrandtsen, B. & Lund, M. S. (2012). Refining QTL with high-density SNP genotyping and whole genome sequence in three cattle breeds. In Book of Abstracts (2012 ed., Vol. 18, pp. 354). Wageningen Academic Publishers.

Sørensen, P. (1999). Reduktion af bensvaghed gennem ændring af nærmiljø. Dansk Erhvervsfjerkrae, (28), 195-196.

Hansen, B. K. & Berg, P. (2008). Reduced litter size and percent kits alive is a consequence of selecting for high body weight. In B. Hunter, B. Murphy & L. Harris (Eds.), Proceedings of the IX International Scientific Congress in Fur Animal Production (pp. 15). Scientifur Vol. 32 No. 4

Hughes, A. L. & Buitenhuis, A. J. (2010). Reduced Variance of Gene Expression at Numerous Loci in a Population of Chickens Selected for High Feather Pecking. Poultry Science, 89, 1858-1869. https://doi.org/10.3382/ps.2010-00827

Madsen, P., Jensen, J. & Mark, T. (2000). Reduced Rank Estimation of (Co)-variance Components for International Evaluation Using AI-REML. In Interbull Bulleti of the Interbull Open Meeting (Vol. 25, pp. 46-50)

Fogsgaard, K. K., Munksgaard, L. & Norberg, E., (2017). Redegørelse vedrørende kupering af lammehaler – smertepåvirkning, No. 2017-760-000196, 4 p., Dec 14, 2017.

Liboriussen, T. & Berg, P., (2009). Reautorisation som stambogsførende organ, No. 28551, No. 532471, 2 p., Apr 30, 2009.

Berg, P. (1997). Realized inbreeding in simulated mink populations. In NJF Utredning/Rapport (Vol. 116, pp. 235-242)

Poulsen, N. A., Hein, L., Kargo, M. & Buitenhuis, A. J. (2020). Realization of breeding values for milk fatty acids in relation to seasonal variation in organic milk. Journal of Dairy Science, 103(3), 2434-2441. https://doi.org/10.3168/jds.2019-17065

Munksgaard, L., Herskin, M. S. & Løvendahl, P. (2003). Reactivity of the hypothalamo-pituitary-adrenal-axis in dairy cows - effects of frequency of milking and energy level in the feed ration. In Proceedings of the 37th International Congress of the ISAE (pp. 225-225)

Knap, P. W. & Su, G. (2007). Reaction norms for litter size in pigs. Poster session presented at Annual Meeting of the European Association for Animal Production, EAAP, Dublin, Ireland.

Su, G., Madsen, P. & Lund, M. S. (2009). Reaction norm model with unknown environmental covariate to analyze heterosis by environment interaction. Journal of Dairy Science, (92), 2204-2213. https://doi.org/10.3168/jds.2008-1499

Berg, P. & Vernersen, A. (2003). Rates of inbreeding in Danish commercial pig population. In Book of Abstracts (pp. 36)

Sahana, G., Zhang, Q., Guldbrandtsen, B. & Lund, M. S. (2016). Rare variants’ impact on female fertility in dairy cattle. Poster session presented at 5th International Conference on Quantitative Genetics , Madison, United States.

Zhang, Q., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2016). Rare variants from imputed whole genome sequence explain a small fraction of the total genetic variance in different traits in cattle. Abstract from 5th International Conference on Quantitative Genetics , Madison, United States.

Zhang, Q., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2016). Rare variants from imputed whole genome sequence explain a small fraction of the total genetic variance for stature and milk yield in cattle. Poster session presented at 5th International Conference on Quantitative Genetics , Madison, United States.

Difford, G. F., Olijhoek, D. W., Hellwing, A. L. F., Lund, P., Bjerring, M. A., de Haas, Y., Lassen, J. & Løvendahl, P. (2018). Ranking cows’ methane emissions under commercial conditions with sniffers versus respiration chambers. Acta Agriculturae Scandinavica A: Animal Sciences, 68(1), 25-32. https://doi.org/10.1080/09064702.2019.1572784

Shariati, M. M., Janss, L., Skarman, A. & Sørensen, P. (2010). Ranking Gene Sets and Biological Pathways Underlying Production Traits. In Abstracts (pp. 123). Gesellschaft für Tierzuchtwissenschaften e. V..

Shariati, M. M., Janss, L., Skarman, A. & Sørensen, P. (2010). Ranking Gene Sets and Biological Pathways Underlying Production Traits. In CD communication - Proceedings, paper 755 Gesellschaft für Tierzuchtwissenschaften e. V..

Madsen, P. & Villumsen, T. (2005). Rangering og udvælgelse af avlsdyr afhængig af produktionssystemet. Føjo-rapport, Økologisk Mælkeproduktion, 20, 51-61.

Strathe, A. B., Mark, T., Jensen, J., Nielsen, B., Duy, D. N. & Kadarmideen, H. N. (2013). Random regression models for daily feed intake in Danish Duroc pigs. Abstract from The American Association for Laboratory Animal Science National Meeting, Minneapolis, United States.

Salimiyekta, Y., Vaez‐torshizi, R., Abbasi, M. A., Emmamjome‐kashan, N., Amin‐afshar, M., Guo, X. & Jensen, J. (2021). Random regression model for genetic evaluation and early selection in the iranian holstein population. Animals, 11(12), [3492]. https://doi.org/10.3390/ani11123492

Shirali, M., Nielsen, V. H., Møller, S. H. & Jensen, J. (2014). Random regression analysesusing Legendre polyomial to model body weight growth in mink. EAAP scientific series, 20, 406-406. http://www.wageningenacademic.com/eaap2014

Lidauer, M., Mäntysaari, E. A., Strandén, I., Pösö, J., Pedersen, J., Nielsen, U. S., Johansson, K., Eriksson, J. -Å., Madsen, P. & Aamand, G. P. (2006). Random heterosis and recombination loss effects in a multibreed evaluation for Nordic Red Dairy Cattle. In Book of abstracts: CD communication 24-02, 4 pp (pp. 224). WCGALP. http://www.wcgalp8.org.br/wcgalp8/articles/paper/24_1031-1850.pdf

Slierendrecht, W. J., Olesen, N. J., Juul-Madsen, H. R., Lorenzen, N., Henryon, M., Berg, P., Søndergaard, J. & Koch, C. (2001). Rainbow trout offspring with different resistance to viral haemorrhagic septicaemia and MHC polymorphism. Fish and Shellfish Immunology, 11, 155-167.

Henryon, M., Berg, P., Olesen, N. J., Kjær, T., Slierendrecht, W. J., Jokumsen, A. & Lund, I. (2003). Rainbow trout can be selectively bred for resistance to the diseases, viral haemorrhagic septicaemia, enteric redmouth disease, rainbow trout fry syndrome, and vibriosis. In Proceedings (pp. 94)

Salleh, S. M., Mazzoni, G., Höglund, J. K., Olijhoek, D. W., Lund, P., Løvendahl, P. & Kadarmideen, H. N. (2017). RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high- and low-residual feed intake in Nordic dairy cattle. B M C Genomics, 18(1), [258]. https://doi.org/10.1186/s12864-017-3622-9

Hamzic, E., Kjærup, R. B., Mach , N., Minozzi, G., Strozzi, F., Gualdi, V., Williams, J. L., Chen, J., Wattrang, E., Buitenhuis, A. J., Juul-Madsen, H. R. & Dalgaard, T. S. (2016). RNA sequencing based analysis of the spleen transcriptome following the infectious bronchitis virus infection of chickens selected for different mannose-binding lectin serum concentrations. BMC Genomics, 17(1), [82]. https://doi.org/10.1186/s12864-016-2403-1

Le, T. H., Madsen, P., Lundeheim, N., Nilsson, K. & Norberg, E. (2015). REML and Bayesian analysis of association between leg conformation in young pigs and sow longevity. In Book of Abstract of the 66th Annual Meeting of the European Federation of Animal Science (Vol. 21, pp. 459-459). Wageningen Academic Publishers. EAAP Book of Abstracts https://doi.org/10.3920/978-90-8686-816-2

Jürgensen, K. & Kargo Sørensen, M. (2006). RDM-avlsmatadorer. ngh-nyt.

Christensen, L. G., Kargo Sørensen, M., Holm, L. & Nielsen, A. (2003). RDM i fremtidsperspektiv. In Rød Dansk Malkerace (pp. 83-92). DJF rapport Husdyr Vol. 50

Dashab, G. R., Aslaminejad, A. A., Nassiri, M. R., Esmailizadeh Koshkoih, A., Sahana, G. & Saghi, D. A. (2011). Quantitative trait loci study in Baluchi sheep. Poster session presented at 62nd Annual Meeting of the European Federation of Animal Science, EAAP, Stavanger, Norway.

Dashab, G. R., Aslaminejad, A. A., Nassiri, M. R., Esmailizadeh Koshkoih, A., Sahana, G. & Saghi, D. A. (2011). Quantitative trait loci study in Baluchi sheep. In Book of Abstracts of the 62nd Annual Meeting of the European Federation of Animal Science (Vol. 17). Wageningen Academic Publishers.

Brøndum, R. F., Su, G., Janss, L., Sahana, G., Guldbrandtsen, B., Boichard, D. A. & Lund, M. S. (2015). Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction. Journal of Dairy Science, 98(6), 4107-4116. https://doi.org/10.3168/jds.2014-9005

Mai, M. D., Rychtarova, J., Zink, V., Lassen, J. & Guldbrandtsen, B. (2010). Quantitative trait loci for milk production and functional traits in two Danish Cattle breeds. Journal of Animal Breeding and Genetics, 127, 469-473. https://doi.org/10.1111/j.1439-0388.2010.00869.x

Freyer, G., Sorensen, P. & Kuhn, C. (2003). Quantitative trait loci for fat content in combination with yield traits estimated with a multi-trait-multi QTL approach adapted to a German Holstein Friesian Cattle sample. In Plant, Animal & Microbe Genome X Conference (pp. 1) http://www.intl-pag.org/pag/10/abstracts/PAGX_P568.html

Buitenhuis, A. J., Rodenburg, T. B., Siwek, M., Cornelissen, S. J. B., Nieuwland, M. G. B., Crooijmans, R. P. M. A., Groenen, M. A. M., Koene, P., Bovenhuis, H. & van der Poel, J. J. (2005). Quantitative trait loci for behavioural traits in chickens. Livestock Production Science, 93(1), 95-103.

Christensen, O. F., Busch, M. E., Gregersen, V. R., Lund, M. S., Nielsen, B., Vingborg, R. K. K. & Bendixen, C. (2010). Quantitative trait loci analysis of osteocondrosis traits in the elbow joint of pigs. Animal, 4(3), 417-424. https://doi.org/10.1017/S1751731109991248

Li, H. D., Lund, M. S., Christensen, O. F., Gregersen, V. R., Henckel, P. & Bendixen, C. (2010). Quantitative trait loci analysis of swine meat quality traits. Journal of Animal Science, 88, 2904-2912. https://doi.org/10.2527/jas.2009-2590

Ødegård, J., Gitterle, T., Madsen, P., Meuwissen, T. HE., Yazdi, M. H., Gjerde, B., Pulgarin, C. & Rye, M. (2011). Quantitative genetics of Taura syndrome resistance in Pacific (Penaeus vannamei): A cure model approach. Genetics Selection Evolution, 43(14).

Schulman, N. F., Sahana, G., Lund, M. S., Viitala, S. M. & Vilkki, J. H. (2008). Quantitative Trait Loci for Fertility Traits in Finnish Ayrshire Cattle. Genetics Selection Evolution, 40, 195-214. https://doi.org/10.1051/gse:2007044

Thomasen, J. R., Guldbrandtsen, B., Sørensen, P., Thomsen, B. & Lund, M. S. (2008). Quantitative Trait Loci Affecting Calving Traits in Danish Holstein Cattle. Journal of Dairy Science, 91(5), 2098-2105. https://doi.org/10.3168/jds.2007-0602

Gianola, D. & Sorensen, D. (2004). Quantitative Genetic Models for Describing Simultaneous and Recursive Relationship Between Phenotypes. Genetics, 167, 1407-1424. https://doi.org/10.1534/genetics.103.025734

Younesi, N., Shariati, M., Zerehdaran, S., Noghabi, M. J. & Løvendahl, P. (2017). Quantile regression mixed model at different milk production levels of Iranian Holsteins. Abstract from EAAP, Tallin, Estonia.

Xiang, R., Van Den Berg, I., MacLeod, I. M., Hayes, B. J., Prowse-Wilkins, C. P., Wang, M., Bolormaa, S., Liu, Z., Rochfort, S. J., Reich, C. M., Mason, B. A., Vander Jagt, C. J., Daetwyler, H. D., Lund, M. S., Chamberlain, A. J. & Goddard, M. E. (2019). Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits. Proceedings of the National Academy of Sciences of the United States of America, 116(39), 19398-19408. https://doi.org/10.1073/pnas.1904159116

sommernes, H. & Sørensen, P. (2007). Quadrigeminal pseudocysts secondary to obstructive hydrocefalus may be treated by cerebral fluid diversion. Poster session presented at 4^th International Hydrocephalus Workshop. 2007, Rhodos.

Guldbrandtsen, B. (2002). QTL-tests: Selektionsredskab bliver virkelighed i dansk kvægavl. Ny KvægForskning, 4(10), 2.

Thirstrup, J. P., Labouriau, R., Guldbrandtsen, B., Anistoroaei, R. M., Christensen, K., Fredholm, M. & Nielsen, V. H. (2011). QTL-mapping in mink (Neovison vison) shows evidence for QTL for guard hair thickness, guard hair length and skin length. In NJF-Seminar no. 450, Fur Animal Research, Autumn Meeting

Pedersen, O. M., Mark, T. & Guldbrandtsen, B. (2000). QTL, hvordan kan det anvendes i dansk kvægavl? RDM-NYT, (342), 22-23.

Pedersen, O. M., Mark, T. & Guldbrandtsen, B. (2000). QTL, hvordan kan det anvendes i dansk kvægavl? LK-meddelelse 575.

Lund, M. S. & Dunø, M. (1999). QTL projektet hos kvæg, Kortlægning af gener med indflydelse på aktuelle egenskaber. In Metoder og planlægning i kvægavlen DJF Intern rapport No. 116

Lund, M. S. (2001). QTL mapping in longitudinal data. In Proceedings of the 7th Quantitative Trait Locus Mapping and Marker-Assisted Selection Workshop (pp. 25-26)

Matejickova, J., Stipkova, M., Sahana, G., Kott, T., Kuselova, J., Matejicek, A., Kottova, B., Krejcova, M. & Melcova, S. (2013). QTL mapping for production traits in Czech Fleckvieh cattle. Czech Journal of Animal Science, 58(9), 396-403. http://www.agriculturejournals.cz/web/cjas.htm?volume=58&firstPage=396&type=publishedArticle

Lund, M. S., Guldbrandtsen, B., Dunø, M., Nielsen, V. H., Jensen, H., Svendsen, S., Jensen, J., Sorensen, D. & Bendixen, C. (2000). QTL mapping for Health, Fertility, and Production Traits in Danish Holstein Cattle. In Book of Abstracts of the 51st Annual Meeting EAAP (Vol. 6, pp. 88)

Siwek, M., Buitenhuis, A. J., Cornelissen, S. J. B., Nieuwland, M. G. B., Bovenhuis, H., Parmentier, H. K., Crooijmans, R. P. M., Groenen, M. A. M. & van der Poel, J. J. (2004). QTL for natural antibodies in two populations of laying hens. In Book of Abstracts (pp. 15)

Sørensen, L. P., Lund, M. S., Guldbrandtsen, B. & Thomasen, J. R. (2006). QTL for mastitis traits and somatic cell count in Danish Holstein cattle show pathogen-specificity. In Book of abstracts: CD communication 15-36, 4 pp (pp. 165). WCGALP. http://www.wcgalp8.org.br/wcgalp8/articles/paper/15_862-1269.pdf

Höglund, J. K., Sahana, G., Guldbrandtsen, B. & Lund, M. S. (2011). QTL for female fertility traits in the Nordic Holstein cattle using genome-wide association mapping. Poster session presented at 62nd Annual Meeting of the European Federation of Animal Science, EAAP, Stavanger, Norway.

Höglund, J. K., Sahana, G., Guldbrandtsen, B. & Lund, M. S. (2011). QTL for female fertility traits in the Nordic Holstein cattle using genome-wide association mapping. In Book of Abstract of the 62nd Annual Meeting of the European Federation of Animal Science (Vol. 17, pp. 120-120). Wageningen Academic Publishers.

Thomsen, H., Thomasen, J. R., Guldbrandtsen, B. & Lund, M. S. (2011). QTL explaining variation in production traits and udder health in the Danish Holstein population. Archiv fuer Tierzucht, 54(4), 348-359.

Guldbrandtsen, B. & Thomasen, J. R. (2002). QTL er et nyt redskab i husdyravlen. Landsbladet - Den Faglige Baggrund, 28.

Thomasen, J. R., Guldbrandtsen, B., Lund, M. S., Thomsen, B. & Sørensen, P. (2006). QTL affecting calving traits in Danish Holstein cattle. In Book of abstracts: CD communication 22-07, 4 pp (pp. 196). WCGALP. http://www.wcgalp8.org.br/wcgalp8/articles/paper/22_866-2111.pdf

Guldbrandtsen, B. (2000). QTL - en avanceret teknik til jagt af gener. Ny KvægForskning, 2(5), 2.

Lund, M. S., Sørensen, P. & Labouriau, R. (2005). QTL (fine) mapping using variance components models for multi-trait, longitudunal and non-normal data. In B. Freyer & K. Biebler (Eds.), Biometrie und Medizinsche Informatik Greifswalder Seminarbereichte (Vol. 10, pp. 1-16). Shaker Verlag.

Larsen, F., Guldbrandtsen, B., Christensen, D., Pitcovski, J., Kjærup, R. B. & Dalgaard, T. S. (2020). Pustulan activates chicken bone marrow-derived dendritic cells in vitro and promotes ex vivo CD4⁺ T cell recall response to infectious bronchitis virus. Vaccines, 8(2), [226]. https://doi.org/10.3390/vaccines8020226

Rohde, P. D. (2014). Psykofluer - bananfluer som model for psykiske sygdomme. Aktuel Naturvidenskab, 5, 34-37.

Berg, P. (1996). Præsentation af et forskningsprogram. Ferskvandsfiskeribladet, 94(12), 294-296.

Laustsen, S. R., Sørensen, P., Fründ, T., Larsson, H. B. W., Christensen, T. & Larsson, E-M. (2010). Præoperativ funktionel magnetisk resonans-billeddannelse hos patienter med hjernetumor. Ugeskrift for Laeger, 172(35), 2370-2376.

Pedersen, K. S., Bendixen, E., Berg, P., Kristensen, T. N. & Loeschcke, V. (2007). Proteome signatures of inbreeding and heat stress in Drosophila melanogaster. In Book of abstracts of the Congress of The 11th European Society for Evolutionary Biology (pp. 40) http://www.eseb.org/eseb2007/ESEB%20abstract%20book.pdf

Jørgensen, H., Sørensen, P. & Eggum(+), B. O. (1990). Protein and energy metabolism in broiler chickens selected for either body weight gain or feed efficiency. British Poultry Science, 31, 517-524.

Fé, D., Ashraf, B., Byrne, S., Czaban, A., Roulund, N., Lenk, I., Asp, T., Pedersen, M. G., Jensen, C. S., Janss, L. & Jensen, J. (2014). Prospects for introducing genomic selection info forage grass breeding. In Proceedings of the 25th General Meeting of the European Grassland Federation (pp. 830-832)

Lassen, J., Garnsworthy, P. C., Chagunda, M. G., Negussie, E., Løvendahl, P. & de Haas, Y. (2014). Progress with Genetic Selection for Low Methane Traits in Dairy Cows. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/xRkBxtAXbN

Sørensen, P. & Ssewannyana, E. (2003). Progress in SAARI chicken breeding project - Analyses of growth capacity. In Proceedings (pp. 172-178)

Berg, P. (1993). Progeny testing in mink. Department of Animal Science and Animal Health, The Royal Veterinary and Agricultural University.

Wassmuth, R. & Jensen, J. (1997). Production traits and disease incidence in performace testing of potential AI-bulls. In Book of Abstracts No. 3 of the 48th Annual Meeting EAAP (pp. 75)

Hansen, B. K. & Berg, P. (1993). Proc Varcomp: Bilag til SAS-studiekreds 26. oktober.

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), [656]. https://doi.org/10.1186/s12864-018-5050-x

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Prioritizing candidate genes for fertility in dairy cows using gene-based analysis, functional annotation and differential gene expression. BMC Genomics, 20, [255]. https://doi.org/10.1186/s12864-019-5638-9

Hulsegge, I., Woelders, H., Smits, M., Schokker, D., Jiang, L. & Sørensen, P. (2013). Prioritization of candidate genes for cattle reproductive traits, based on protein-protein interactions, gene expression, and text-mining. Physiological Genomics, 45(10), 400-406. https://doi.org/10.1152/physiolgenomics.00172.2012

Mark, T., Madsen, P., Jensen, J. & Fikse, W. F. (2005). Prior (Co)Variances Can Improve Miltiple-Trait Across-Country Evaluations of Weakly Linked Bull Populations. Journal of Dairy Science, 88(9), 3290-3302. http://jds.fass.org/cgi/content/abstract/88/9/3290

Pedersen, G. A., Christensen, L. G. & Jensen, J. (1994). Principper for beregning af avlsværdital for ydelse. SDM-bladet, 4, 55.

Rovere, G. A., Madsen, P., Christiansen, K., Holm, M. & Lund, M. S. (2018). Prevalence and genetic variability of osteochondrosis in Danish Warmblood horses. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 11.929 http://www.wcgalp.org/system/files/proceedings/2018/prevalence-and-genetic-variability-osteochondrosis-danish-warmblood-horses.pdf

Jensen, J. (2003). Presentation of the Danish Institute of Agricultural Sciences and Danish Research in Animal Breeding and Genetics. In Proc. International Symposium on Research Trends and Strategies of Animal Biotechnology (pp. 21-24)

Fogh, A., Nielsen, U. S. & Kargo Sørensen, M. (2005). Premiere på Nordisk avlsværdivurdering. Kvægavleren, 2, 5.

Su, G., Guldbrandtsen, B., Gregersen, V. R. & Lund, M. S. (2010). Preliminary investigation on reliability of genomic estimated breeding values in the Danish and Swedish Holstein Population. Journal of Dairy Science, 93(3), 1175-1183. https://doi.org/10.3168/jds.2009-2192

Su, G., Guldbrandtsen, B., Gregersen, V. R. & Lund, M. S. (2008). Preliminary investigation in Danish Holstein showing a promising prospect of genomic selection. Poster session presented at SABRE Conference: Welfare and Quality Genomics, Tjele, Denmark.

Slagboom, M., Kargo, M., Edwards, D., Sørensen, A. C., Thomasen, J. R. & Hjortø, L. (2016). Preferences for Breeding Goal Traits for Danish Red and Jersey Cattle. Abstract from 67th Annual Meeting of the European Association for Animal Production (EAAP), Belfast, United Kingdom.

Gebreyesus, G., Difford, G. F., Buitenhuis, B., Lassen, J., Noel, S. J., Højberg, O., Plichta, D. R., Zhu, Z., Poulsen, N. A., Sundekilde, U. K., Løvendahl, P. & Sahana, G. (2020). Predictive ability of host genetics and rumen microbiome for subclinical ketosis. Journal of Dairy Science, 103(5), 4557-4569. https://doi.org/10.3168/jds.2019-17824

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). [623] Cambridge University Press. Advances in Animal Biosciences

Nielsen, B., Ask, B., Gao, H. & Su, G. (2019). Prediction of individual breeding values from group recordings. Abstract from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

Do, D. N., Janss, L., Strathe, A. B., Jensen, J. & Kadarmideen, H. N. (2014). Prediction of genomic breeding values for feed efficiency and related traits in pigs. EAAP scientific series, 20, 282-282. http://www.wageningenacademic.com/eaap2014

Poulsen, B. G., Ask, B., Nielsen, H. M., Ostersen, T. & Christensen, O. F. (2020). Prediction of genetic merit for growth rate in pigs using animal models with indirect genetic effects and genomic information. Genetics, selection, evolution : GSE, 52, [58]. https://doi.org/10.1186/s12711-020-00578-y

Rohde, P. D., Kristensen, T. N., Sarup, P., Muñoz, J. & Malmendal, A. (2021). Prediction of complex phenotypes using the Drosophila melanogaster metabolome. Heredity, 126(5), 717-732. https://doi.org/10.1038/s41437-021-00404-1

van den Berg, I., Boichard, D. & Lund, M. S. (2015). Prediction of causative genomic relationships using sequence data of five French and Danish dairy cattle breeds. Poster session presented at Plant & Animal Genome XXIII, San Diego, CA, United States.

Jensen, J. (1985). Prediction of breeding values of bulls for type and management traits. Report No. 595