Publications

Peer-reviewed publications at QGG

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Thomasen, J. R. & Sørensen, A. C. (2014). Strategies for use of reproductive technologies in genomic dairy cattle breeding programs. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/ku79hykUKe

Lopes, M. S., Bastiaansen, J. W. M., Janss, L., Bovenhuis, H. & Knol, E. F. (2014). Using SNP markers to estimate additive, dominance and imprinting genetic variance. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/l8lt5Q5qu9

Lassen, J., Løvendahl, P., Kristensen, L., Zhu, Z., Højbjerg, O., Poulsen, M. & Noel, S. J. (2014). Variation among Dairy Cows in Rumen Liquid Fermentation Characteristics. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/mIgcAUjoaq

Zhu, Z., Kristensen, L., Højbjerg, O., Poulsen, M., Lassen, J., Noel, S. J. & Løvendahl, P. (2014). Variation among Dairy Cows in Rumen Liquid Fermentation Characteristics. Poster session presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/DtbvU7eMTN

de los Campos, G., Sorensen, D. & Gianola, D. (2014). What is it?. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

Farrell, J. D., Byrne, S., Paina, C. & Asp, T. (2014). De novo assembly of the perennial ryegrass transcriptome using an RNA-seq strategy. P L o S One, 9(8), Article e103567. https://doi.org/10.1371/journal.pone.0103567

Janss, L., Sigsgaard, T. & Sorensen, D. (2014). Whole-Genome Analyses of lung function, height and smoking. Annals of Human Genetics, 78(6), 452-467. https://doi.org/10.1111/ahg.12078

Henryon, M., Berg, P. & Sørensen, A. C. (2014). Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains. Livestock Science, 166, 38-47. https://doi.org/10.1016/j.livsci.2014.06.016

Poulsen, N. A., Eskildsen, C. E., Skov, T., Larsen, L. B. & Buitenhuis, A. J. (2014). Comparison of Genetic Parameters Estimation of Fatty Acids from Gas Chromatography and FT-IR in Holsteins. Abstract from 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. http://www.wcgalp.com/

Nielsen, V. H., Mayntz, D., Sørensen, A., Jensen, S. K., Damgaard, B. M. & Møller, S. H. (2014). Dissected fat deposits for evaluation of total body fat percent in mink. EAAP Book of Abstracts, 20, 290-290.

Kadri, N. K., Sahana, G., Guldbrandtsen, B., Lund, M. S. & Druet, T. (2014). Efficiency of haplotype-based methods to fine-map QTLs and embryonic lethals variants affecting fertility: illustration with a deletion segregating in Nordic Red cattle Corresponding. Livestock Science, 166, 167-175. https://doi.org/10.1016/j.livsci.2014.04.030

Kudahl, A. B., Ettema, J. F., Østergaard, S., Anneberg, I. & Jørgensen, D. B. (2014). Evaluation of a tool for integration of economy in veterinary herd health programs for dairy herds. EAAP Book of Abstracts, 453-453. https://doi.org/10.3920/978-90-8686-799-8

Li, X., Buitenhuis, A. J., Li, C., Sun, D., Zhang, Q., Lund, M. S. & Su, G. (2014). Genome-wide association of milk fatty acids in Chinese and Danish Holstein populations. Poster session presented at 65th Annual Meeting of the European Federation for Animal Science (EAAP). August 25-29 2014. Copenhagen, Denmark, Denmark.

Lund, M. S., Su, G., Janss, L., Guldbrandtsen, B. & Brøndum, R. F. (2014). Genomic evaluation of cattle in a multi-breed context. Livestock Science, 166, 101-110. https://doi.org/10.1016/j.livsci.2014.05.008

Zhou, L., Lund, M. S., Wang, Y. & Su, G. (2014). Genomic predictions across Nordic Holstein and Nordic Red using the genomic best linear unbiased prediction model with different genomic relationship matrices. Journal of Animal Breeding and Genetics, 131(4), 249-257. https://doi.org/10.1111/jbg.12089

Vestergaard, M., Camakci, C., Kristensen, T., Jørgensen, K. F. & Kargo, M. (2014). Growth and carcass quality of grazing Holstein bulls and Limousine x Holstein bulls and heifers. Poster session presented at 65th Annual Meeting of the European Federation for Animal Science (EAAP). August 25-29 2014. Copenhagen, Denmark, Denmark.

Vestergaard, M., Camakci, C., Kristensen, T., Jørgensen, K. F., Therkildsen, M. & Kargo, M. (2014). Growth and carcass quality of grazing Holstein bulls and Limousine x Holstein bulls and heifers. EAAP Book of Abstracts, 20, 264-264.

Zhang, Q., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2014). Inbreeding, admixture and selection signature in Danish Cattle breeds. Poster session presented at 34th International Society for Animal Genetics Conference, Xi'an, China.

Paslawski, W., Mysling, S., Thomsen, K., Jørgensen, T. J. D. & Otzen, D. (2014). Co-existence of Two Different α-Synuclein Oligomers with Different Core Structures Determined by Hydrogen/Deuterium Exchange Mass Spectrometry. Angewandte Chemie International Edition, 53(29), 7560-7563. https://doi.org/10.1002/anie.201400491

Sørensen, L. H., Sørensen, A. C., Mark, T. & Kargo, M. (2014). Genetic Parameters for Fertility Measurements in Holstein Heifers: The activity tag Heatime makes a difference. Acta Agriculturae Scandinavica, Section A - Animal Science, 63(4), 169-174. https://doi.org/10.1080/09064702.2014.923035

Daetwyler, H. D., Capitan, A., Pausch, H., Stothard, P., van Binsbergen, R., Brøndum, R. F., Liao, X., Djari, A., Rodriguez, S. C., Grohs, C., Jung, S., Esquerré, D., Bouchez, O., Gollnick, N. S., Rossignol, M.-N., Klopp, C., Rocha, D., Fritz, S., Eggen, A. ... Hayes, B. J. (2014). Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle. Nature Genetics, 46(8), 858 - 865.

Juul-Madsen, H. R., Norup, L. R., Sørensen, P. & Dalgaard, T. S. (2014). Adaptive immune responses differ in inbred chickens selected for high and low concentration of mannose-binding lectin (MBL) in serum. In XIII Avian Immunology Research and Group Meeting - Scientific Programme and Abstracts (pp. 60-60)

Zhou, L., Heringstad, B., Su, G., Guldbrandtsen, B., Meuwissen, T. H. E., Svendsen, M., Grove, H., Nielsen, U. S. & Lund, M. S. (2014). Genomic predictions based on a joint reference population for the Nordic Red cattle breeds. Journal of Dairy Science, 97(7), 4485-4496. https://doi.org/10.3168/jds.2013-7580

Norberg, E., Madsen, P., Su, G., Pryce, J. E., Jensen, J. & Kargo, M. (2014). Short communication: Heterosis by environment and genotype by environment interactions for protein yield in Danish Jerseys. Journal of Dairy Science, 97(7), 4557-4561. https://doi.org/10.3168/jds.2013-7693

Ashraf, B., Jensen, J., Asp, T. & Janss, L. (2014). Association studies using family pools of outcrossing crops based on allele-frequency estimates from DNA sequencing. Theoretical and Applied Genetics, 127(6), 1331-1341. https://doi.org/10.1007/s00122-014-2300-4

Zhu, Z., Kristensen, L., Poulsen, M., Lassen, J., Noel, S. J., Højberg, O. & Løvendahl, P. (2014). Dairy cow rumen fermentation characteristics at the onset of lactation. Poster session presented at Rowett-INRA 2014. Gut Microbiology: from Sequence to Function, Aberdeen, United Kingdom.

Kjærup, R. M., Dalgaard, T. S., Norup, L. R., Sørensen, P. & Juul-Madsen, H. R. (2014). Different serum levels of mannose-binding lectin influence the immune responses in chickens after infectious bronchitis infection. Abstract from 8TH INTERNATIONAL SYMPOSIUM ON AVIAN CORONA- AND PNEUMOVIRUSES AND COMPLICATING PATHOGENS, Rauischholzhausen, Germany.

Gustavsson, F., Buitenhuis, A. J., Johansson, M., Bertelsen, H. P., Glantz, M., Poulsen, N. A., Månsson, H. L., Stålhammer, H., Larsen, L. B., Bendixen, C., Paulsson, M. & Andrén, A. (2014). Effects of breed and casein genetic variants on protein profile in milk from Swedish Red, Danish Holstein, and Danish Jersey. Journal of Dairy Science, 97(6), 3866-3877. https://doi.org/10.3168/jds.2013-7312

Berry, D. P., Coffey, M. P., Pryce, J. E., de Haas, Y., Løvendahl, P., Krattenmacher, N., Crowley, J. J., Wang, Z., Spurlock, D., Weigel, K., Macdonald, K. & Veerkamp, R. F. (2014). International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources. Journal of Dairy Science, 97(6), 3894-3904. https://doi.org/10.3168/jds.2013-7548

de los Campos, G. & Sorensen, D. (2014). On the genomic analysis of data from structured populations. Journal of Animal Breeding and Genetics, 131(3), 163-164. https://doi.org/10.1111/jbg.12091

Sahana, G. & Pedersen, L. D. (2014). Skadelig mutation nedsætter frughtbarheden hos de røde racer. Ny KvægForskning, 2, 2-3.

Schönherz, A. A. (2014). Evolutionary Mechanisms Involved in Emergence of Viral Haemorrhagic Septicaemia Virus (VHSV) into Cultured Rainbow Trout, Oncorhynchus mykiss. Aarhus University, Faculty of Science and Technology.

Legarra, A., Christensen, O. F., Aguilar, I. & Misztal, I. (2014). Single Step, a general approach for genomic selection. Livestock Science, 166, 54-65. https://doi.org/10.1016/j.livsci.2014.04.029

Løvendahl, P., Bjerring, M. & Larsen, T. (2014). A testing protocol for carry over in AMS using tracer-color dilution. In Main Program: IDF/ISO Analytical Week and ICAR/Interbull Conference (pp. 43-43) http://www.icar2014.de

de Haas, Y., Lassen, J., Pickering, N., McEwan, J., Oddy, H., Wall, E., Gengler, N., Dehareng, F., Løvendahl, P. & Rowe, S. (2014). The road to genetic selection for methane emission from ruminants: A global approach. In Main Program: IDF/ISO Analytical Week and ICAR/Interbull Conference (pp. 55-55) http://www.icar2014.de

Anantharama Ankinakatte, S. (2014). Statistical methods for longitudinal data with agricultural applications. Aarhus University, Faculty of Science and Technology.

Labouriau, R. (2014). A Note on the Identifiability of Generalized Linear Mixed Models. arXiv, Article 1405.0673 [stat.AP]. http://arxiv.org/abs/1405.0673

Galesloot, T. E., Van Steen, K., Kiemeney, L. A. L. M., Janss, L. L. & Vermeulen, S. H. (2014). A comparison of multivariate genome-wide association methods. P L o S One, 9(4), 1-8. Article e95923. https://doi.org/10.1371/journal.pone.0095923

Christensen, O. F. (2014). Correction: Compatibility of pedigree-based and marker-based relationship matrices for single-step genetic evaluation. Genetics Selection Evolution, 46(1), Article 20. https://doi.org/10.1186/1297-9686-46-20

Thirstrup, J. P. (2014). Litter size, fur quality and genetic analyses of American mink. Aarhus University, Faculty of Science and Technology.

Liu, H. (2014). Application of dense marker genotypes for long-term genetic gain in animal breeding schemes. Aarhus University, Faculty of Science and Technology.

Kjærup, R. M., Dalgaard, T. S., Norup, L. R., Bergman, I.-M., Sørensen, P. & Juul-Madsen, H. R. (2014). Adjuvant effects of mannose-binding lectin ligands on the immune response to infectious bronchitis vaccine in chickens with high or low serum mannose-binding lectin concentrations. Immunobiology, 219(4), 263-274. https://doi.org/10.1016/j.imbio.2013.10.013

Pimentel Maia, R., Madsen, P. & Labouriau, R. (2014). Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits. Journal of Applied Statistics, 41(6), 1286-1306. https://doi.org/10.1080/02664763.2013.868416

Christensen, O. F., Madsen, P., Nielsen, B. & Su, G. (2014). Genomic evaluation of both purebred and crossbred performances. Genetics Selection Evolution, 46(23), 1-16. https://doi.org/10.1186/1297-9686-46-23

Maia, R. P., Ask, B., Madsen, P., Pedersen, J. & Labouriau, R. (2014). Genetic determination of mortality rate in Danish dairy cows: a multivariate competing risk analysis based on the number of survived lactations. Journal of Dairy Science, 97(3), 1753-1761. https://doi.org/10.3168/jds.2013-6959

Pryce, J. E., Johnston, J., Hayes, B. J., Sahana, G., Weigel, K. A., McParland, S., Spurlock, D., Krattenmacher, N., Spelman, R. J., Wall, E. & Calus, M. P. L. (2014). Imputation of genotypes from low density (50,000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America, and Australasia using 2 reference populations. Journal of Dairy Science, 97(3), 1799-1811. https://doi.org/10.3168/jds.2013-7368

Varona, L. & Sorensen, D. (2014). Joint Analysis of Binomial and Continuous Traits with a Recursive Model: A Case Study Using Mortality and Litter Size of Pigs. Genetics, 196(3), 643-651. https://doi.org/10.1534/genetics.113.159475

Kadri, N., Guldbrandtsen, B., Sørensen, P. & Sahana, G. (2014). Comparison of Genome-Wide Association Methods in Analyses of Admixed Populations with Complex Familial Relationships. P L o S One, 9(3), Article e88926. https://doi.org/10.1371/journal.pone.0088926

Jensen, P., Overgaard, J., Loeschcke, V., Schou, M. F., Malte, H. & Kristensen, T. N. (2014). Inbreeding effects on standard metabolic rate investigated at cold, benign and hot temperatures in Drosophila melanogaster. Journal of Insect Physiology, 62, 11-20. https://doi.org/10.1016/j.jinsphys.2014.01.003

Liu, H., Sørensen, A. C., Meuwissen, T. H. E. & Berg, P. (2014). Allele frequency changes due to hitch-hiking in genomic selection programs. Genetics Selection Evolution, 46(8), 1-14. https://doi.org/10.1186/1297-9686-46-8

Schrooten, C., Dassonneville, R., Ducrocq, V., Brøndum, R. F., Lund, M. S., Chen, J., Liu, Z., González-Recio, O., Pena, J. & Druet, T. (2014). Error rate for imputation from the Illumina BovineSNP50 chip to the Illumina BovineHD chip. Genetics Selection Evolution, 46(10), 1-9. https://doi.org/10.1186/1297-9686-46-10

Blans, K. & Rasmussen, J. T. (2014). MFG-E8 as a marker for apoptotic, stressed and activated cells. In MFG-E8 and Inflammation (pp. 33-54). Springer. https://doi.org/10.1007/978-94-017-8765-9_2

Nielsen, J. R., Christensen, O. F., Søndergaard, E. & Ladewig, J. (2014). A note on the heritability of reactivity assessed at field tests for Danish Warmblood horses. Journal of Equine Veterinary Science, 34(2), 341-343. https://doi.org/10.1016/j.jevs.2013.06.002

Nielsen, J. R., Christensen, O. F., Søndergaard, E. & Ladewig, J. (2014). Behaviour observation during conformation evaluation at field test for Danish Warmblood horses and associations to rideability and performance traits. Journal of Equine Veterinary Science, 34(2), 288-293. https://doi.org/10.1016/j.jevs.2013.06.007

Thirstrup, J. P., Anistoroaei, R. M., Guldbrandtsen, B., Christensen, K., Fredholm, M. & Nielsen, V. H. (2014). Identifying QTL and genetic correlations between fur quality traits in mink (Neovison vison). Animal Genetics, 45(1), 105-110. https://doi.org/10.1111/age.12102

Sarup, P. M., Sørensen, P. & Loeschcke, V. (2014). The long-term effects of a life-prolonging heat treatment on the Drosophila melanogaster transcriptome suggest that heat shock proteins extend lifespan. Experimental Gerontology, 50, 34-39. https://doi.org/10.1016/j.exger.2013.11.017

Møller, S. H. & Berg, P. (2014). Vi kan avle for mere sociale mink! In Faglig Årsberetning 2013 (pp. 25-28). Kopenhagen Fur.

Zhou, L. (2014). Genomic prediction across dairy cattle populations and breeds. Aarhus University, Faculty of Science and Technology.

Ismael, A. I. S., Løvendahl, P. & Strandberg, E. (2014). Automated Estrus Traits: Higher Heritability and Well Suited to Study G×E..

Kadri, N. K. (2014). Methods for association mapping using multiple population data. Aarhus University, Faculty of Science and Technology.

Bouwman, A. C., Valente, B. D., Janss, L. L. G., Bovenhuis, H. & Rosa, G. J. M. (2014). Exploring causal networks of bovine milk fatty acids in a multivariate mixed model context. Genetics Selection Evolution, 46(2), 1-2. https://doi.org/10.1186/1297-9686-46-2

Ashraf, B., Fé, D., Jensen, J., Byrne, S., Asp, T., Greve-Pedersen, M., Lenk, I., Jensen, C. S. & Janss, L. (2014). Genomic Variance Estimation Based on Genotyping-by-Sequencing with Different Coverage in Perennial Ryegrass. In Proceeding of Plant & Animal Genome XXII: The International Conference on the Status of Plant & Animal Genome Research (pp. 157-157).

Vilkki, J., Dolezal, M. A., Sahana, G., Iso-Touru, T., Panitz, F., Fasold, M., Bagnato , A. & Soller, M. (2014). Multiple Breed Validation of Five QTL Affecting Mastitis Resistance. Abstract from Plant and Animal Genome XXII, San Diego, United States. http://pag14.mapyourshow.com/5_0/sessions/sessiondetails.cfm?ScheduledSessionID=11AECD

Vilkki, J., Dolezal, M. A., Sahana, G., Iso-Touru, T., Panitz, F., Fasold, M., Bagnato , A. & Soller, M. (2014). Multiple Breed Validation of Five QTL Affecting Mastitis Resistance. Poster session presented at Plant and Animal Genome XXII, San Diego, United States.

Fé, D., Ashraf, B., Greve-Pedersen, M., Lenk, I., Janss, L., Byrne, S., Asp, T., Jensen, C. S., Jensen, J. & Czaban, A. (2014). Genomic prediction based on next generation sequencing of 1000 F2-families in Lolium perenne L. In Plant and Animal Genome XXII Conference https://pag.confex.com/pag/xxii/webprogram/Paper11353.html

Pleidrup, J., Dalgaard, T. S., Norup, L. R., Permin, A., Schou, T. W., Skovgaard, K., Vadekær, D. F., Jungersen, G., Sørensen, P. & Juul-Madsen, H. R. (2014). Ascaridia galli infection influences the development of both humoral and cell-mediated immunity after Newcastle Disease vaccination in chickens. Vaccine, 32(3), 383-392. https://doi.org/10.1016/j.vaccine.2013.11.034

Kadri, N. K., Sahana, G., Charlier, C., Iso-Touru, T., Guldbrandtsen, B., Karim, L., Nielsen, U. S., Panitz, F., Aamand, G. P., Schulman, N., Georges, M., Vilkki, J., Lund, M. S. & Druet, T. (2014). A 660-Kb deletion with antagonistic effects on fertility and milk production segregates at high frequency in Nordic Red cattle: Additional evidence for the common occurrence of balancing selection in livestock. P L o S Genetics, 10(1), 1-11. Article e1004049. https://doi.org/10.1371/journal.pgen.1004049

Norberg, E. (2014). Editorial: A special issue in honor of Professor Odd Vangen. Acta Agriculturae Scandinavica, Section A - Animal Science, 64(1), 1-1. https://doi.org/10.1080/09064702.2014.983333

Guo, G., Guo, X., Wang, Y., Zhang, X., Zhang, S., Li, X., Liu, L., Shi, W., Usman, T., Wang, X., Du, L. & Zhang, Q. (2014). Estimation of genetic parameters of fertility traits in Chinese Holstein cattle. Canadian Journal of Animal Science, 94(2), 281-285. https://doi.org/10.4141/CJAS2013-113

Gustavsson, F., Glantz, M., Buitenhuis, A. J., Lindmark-Månsson, H., Stålhammar, H., Andrén, A. & Paulsson, M. (2014). Factors influencing chymosin-induced gelation of milk from individual dairy cows: Major effects of casein micelle size and calcium. International Dairy Journal, 39(1), 201-208. https://doi.org/10.1016/j.idairyj.2014.06.011

Jonavičienė, K., Abeynayake, S., Brazauskas, G. & Asp, T. (2014). Validation of candidate genes expression profiles during cold acclimation and freezing in perennial ryegrass. In Quantitative Traits Breeding for Multifunctional Grasslands and Turf (pp. 273-278). Springer. https://doi.org/10.1007/978-94-017-9044-4_38

Thomasen, J. R., Egger-Danner, C., Willam, A., Guldbrandtsen, B., Lund, M. S. & Sørensen, A. C. (2014). Genomic selection strategies in a small dairy cattle population evaluated for genetic gain and profit. Journal of Dairy Science, 97(1), 458-470. https://doi.org/10.3168/jds.2013-6599

Alemu, S. W., Berg, P., Janss, L. & Bijma, P. (2014). Indirect genetic effects and kin recognition: estimationg IGEs wehn interactions differ between kin and strangers. Heredity, 112, 197-206. https://doi.org/10.1038/hdy.2013.92

Nagy, I., Islam, M. S., Møller, I. M., Byrne, S. & Asp, T. (2014). Sequencing and analysis of mitochondrial genomes of fertile and male-sterile lines in perennial ryegrass (Lolium perenne L.). In Plant Biotech Denmark Annual meeting 2014 (pp. 67) http://plant-biotech.dk/annual_meeting/

Nagy, I., Islam, M. S., Møller, I. M., Byrne, S. & Asp, T. (2014). Sequencing and genome comparison of plastid genomes of fertile and male-sterile lines in perennial ryegrass (Lolium perenne L.). In Plant Biotech Denmark Annual meeting 2014 (pp. 66) http://plant-biotech.dk/annual_meeting/

Höglund, J., Sahana, G., Guldbrandtsen, B. & Lund, M. S. (2014). Validation of Associations for Female Fertility Traits in Nordic Holstein, Nordic red and Jersey Dairy Cattle. B M C Genetics, 15(8), 1-7. https://doi.org/10.1186/1471-2156-15-8

Liu, T., Qu, H., Luo, C., Shu, D., Wang, J., Lund, M. S. & Su, G. (2014). Accuracy of genomic prediction for growth and carcass traits in Chinese triple-yellow chickens. BMC Genetics, 15(110), 1-8. https://doi.org/10.1186/s12863-014-0110-y

Marete, A. G., Ojango, J., Mujibi, F., Rao, J., Poole, J., Weerasinghe, S., Rege, E., Gondro, C. & Gibson, J. (2014). A novel use of high density SNP assays to optimize choice of different crossbred dairy. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://asas.confex.com/asas/WCGALP14/webprogram/Paper9248.html

Fotsa, J.-C., Sørensen, P. & Pym, R. A. (2014). Breeding and reproduction. In Decision tools for family poultry development (Vol. 16, pp. 18-26). Food and Agriculture Organization of the United Nations. http://www.fao.org/docrep/019/i3542e/i3542e.pdf

Della Riva, A., Kristensen, T., De Marchi1, M., Kargo, M., Jensen, J. & Cassandro, M. (2014). Carbon footprint from dairy farming system: comparison between Holstein and Jersey cattle in Italian circumstances. Acta Agraria Kaposvàriensis, 18(Supplement 1), 75-80.

Greve, M. H., Christensen, O. F., Greve, M. B. & Bou Kheir, R. (2014). Change in peat coverage in Danish cultivated soils during the past 35 years. Journal of Soil Science, 179(5), 250-257. https://doi.org/10.1097/SS.0000000000000066

Marete, A. G., Mosi, R., Amimo, J. & Jung'a, J. (2014). Characteristics of Lactation Curves of the Kenya Alpine Dairy Goats in Smallholder Farms. Open Journal of Animal Sciences, 4(2). https://doi.org/10.4236/ojas.2014.42013

Czaban, A., Byrne, S. & Asp, T. (2014). Comparative genomics within the Lolium-Festuca complex of grasses. In L. F. Groeneveld & A. K. Præbel (Eds.), Book of Abstracts. Genetic Resources for Food and Agriculture in a Changing Climate (pp. 56). The Nordic Genetic Resource Center. http://climate.nordgen.org/downloadable-documents

Guo, G., Zhao, F., Wang, Y., Zhang, Y., Du, L. & Su, G. (2014). Comparison of single-trait and multiple-trait genomic prediction models. BMC Genetics, 15(30), 1-7. https://doi.org/10.1186/1471-2156-15-30

van den Berg, I., Rodrigue<, S., Fritz, S., Boussaha, M., Lund, M. S. & Boichard, D. (2014). Concordance analysis for QTL detection in dairy cattle: a case study of leg morphology. Genetics Selection Evolution, 46(31). https://doi.org/10.1186/1297-9686-46-31

Lin, L., Luo, Y., Sørensen, P., Prætorius, H., Vajta, G., Callesen, H., Pribenszky, C., Bolund, L. & Kristensen, T. N. (2014). Effects of high hydrostatic pressure on genomic expression profiling of porcine parthenogenetic activated and cloned embryos. Reproduction, Fertility and Development, 26, 469-484. https://doi.org/10.1071/RD13037

Meier, K., Norberg, E., Sørensen, A. C., Henriksen, N. H. & Thomsen, B. (2014). Etablering af platform for optimering af avlsfremgange i dansk akvakultur. Dansk Akvakultur. Faglig rapport fra Dansk Akvakultur Vol. 2014 No. 2 http://www.danskakvakultur.dk/media/11829/Slutrapport_Avl_platform_160514.pdf

Gebreyesus, G., Haile, A. & Dessie, T. (2014). Evaluation of growth trends in the short-eared somali goat breed of eastern Ethiopia. Research Journal of Applied Sciences, 9(5), 224-227.

Buitenhuis, A. J., Poulsen, N. A., Larsen, L. B. & Sehested, J. (2014). Genetic Analysis of Micro- and Macro-elements in Danish Holstein and Danish Jersey Milk. Abstract from 11th International Symposium for Milk Genomics and Human Health, Aarhus, Denmark.

Ngoc Do, D., Ostersen, T., Strathe, A. B., Mark, T., Jensen, J. & Kadarmideen, H. N. (2014). Genome-wide association and systems genetic analyses of residual feed intake, daily feed consumption, backfat and weight gain in pigs. B M C Genetics, 15, Article 27. https://doi.org/10.1186/1471-2156-15-27

Su, G., Guldbrandtsen, B., Aamand, G. P., Strandén, I. & Lund, M. S. (2014). Genomic relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers. Genetics Selection Evolution, 46(47), 1-12. https://doi.org/10.1186/1297-9686-46-47

Jensen, P., Gaertner, B., Ward, K. & F C Mackay, T. (2014). Genotype by Social Environmental Interaction for Male Aggressive Behavior in Drosophilia melanogaster. Poster session presented at Evolution, Raleigh, United States. http://evolution2014.org/wp-content/uploads/2014/04/ABSTRACTS-printing-final.pdf

Thirstrup, J. P., Pertoldi, C., Larsen, P. F. & Nielsen, V. H. (2014). Heterosis in the second and third generation affects litter size in a crossbreed mink (Neovison vison) population. Archives of Biological Sciences, 66(3), 1097-1103. https://doi.org/10.2298/ABS1403097T

Su, G., Aamand, G. P., Nielsen, U. S. & Lund, M. S. (2014). Improving Genomic Prediction for Claw-health Using Multi-trait Model. Abstract from Interbull Meeting, Berlin, Germany.

Su, G., Aamand, G. P., Nielsen, U. S. & Lund, M. S. (2014). Improving genomic prediction using GBLUP model with weighted G-matrix. Abstract from Interbull Meeting, Berlin, Germany.

Alemu, S. W., Bijma, P., Møller, S. H., Janss, L. & Berg, P. (2014). Indirect genetic effects contribute substantially to heritable variation in aggression-related traits in group-housed mink (Neovison vison). Genetics Selection Evolution, 46(30). https://doi.org/10.1186/1297-9686-46-30

Pedersen, H. S., Løvendahl, P., Nikolaisen, N., Holm, P., Hyttel, P., Nyengaard, J. R., Chen, F. & Callesen, H. (2014). Mitochondrial dynamics in pre- and postpubertal pig oocytes before and after in vitro maturation. Reproduction, Fertility and Development, 26(1), 189-190. Article 152. https://doi.org/10.1071/RDv26n1abs

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

Byrne, S. & Asp, T. (2014). Sequencing approaches for estimating genetic diversity between ecotypes and populations in forage grasses. In A. Præbel & L. F. Groeneveld (Eds.), Book of Abstracts, Genetic Resources for Food and Agriculture in a Changing Climate (pp. 37). NordGen. https://sites.google.com/a/nordgen.org/agricultural-genetic-resources-in-changing-climate/home

Anneberg, I., Kudahl, A. B. & Ettema, J. F. (2014). Tal kan motivere - men også skabe skepsis. Dansk Veterinærtidsskrift, 10, 18-21.

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Jette Odgaard Villemoes