Publikationer

Peer-reviewed publikationer ved QGG

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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, Artikel 255. https://doi.org/10.1186/s12864-019-5638-9

Poulsen, N. A., Buitenhuis, A. J., Sehested, J., Kargo, M., Wiking, L. & Larsen, L. B. (2019). Sustainable milk production and the impact on milk quality and functionality. 16. Abstract fra Dairy Research Conference 2019, Billund, Danmark.

Zhang, H., Liu, A., Li, X., Xu, W., Shi, R., Luo, H., Su, G., Dong, G., Guo, G. & Wang, Y. (2019). Genetic analysis of skinfold thickness and its association with body condition score and milk production traits in Chinese Holstein population. Journal of Dairy Science, 102(3), 2347-2352. https://doi.org/10.3168/jds.2018-15180

Kristensen, P. S. (2019). Genomic prediction of baking quality in winter wheat. Aarhus University.

Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2019). Multi-population GWAS and enrichment analyses reveal novel genomic regions and promising candidate genes underlying bovine milk fatty acid composition. BMC Genomics, 20, Artikel 178. https://doi.org/10.1186/s12864-019-5573-9

Ørsted, M., Hoffmann, A. A., Rohde, P. D., Sørensen, P. & Kristensen, T. N. (2019). Strong impact of thermal environment on the quantitative genetic basis of a key stress tolerance trait. Heredity, 122(3), 315-325. https://doi.org/10.1038/s41437-018-0117-7

Pedersen, M. L. M., Velander, I. H., Nielsen, M. B. F., Lundeheim, N. & Nielsen, B. (2019). Duroc boars have lower progeny mortality and lower fertility than Pietrain boars1. Translational Animal Science, 3(2), 885-892. https://doi.org/10.1093/tas/txz036

Veeckman, E., Van Glabeke, S., Haegeman, A., Muylle, H., Van Parijs, F. R. D., Byrne, S. L., Asp, T., Studer, B., Rohde, A., Roldán-Ruiz, I., Vandepoele, K. & Ruttink, T. (2019). Overcoming challenges in variant calling: Exploring sequence diversity in candidate genes for plant development in perennial ryegrass (Lolium perenne). DNA Research, 26(1), 1-12. https://doi.org/10.1093/dnares/dsy033

Kargo, M. (2019). Avl. I T. Kristensen, J. O. Lehmann & L. Mogensen (red.), Fremtidens helhedsorienterede og balancerede kvægproduktion - visioner og udfordringer for malkekvægsbedriften frem mod år 2040 (Bind 146, s. 52-64).

Robertsen, C. D., Hjortshøj, R. L. & Janss, L. L. (2019). Genomic selection in cereal breeding. Agronomy, 9(2), Artikel 95. https://doi.org/10.3390/agronomy9020095

Zhang, Z., Kargo, M., Liu, A., Thomasen, J. R., Pan, Y. & Su, G. (2019). Genotype-by-environment interaction of fertility traits in Danish Holstein cattle using a single-step genomic reaction norm model. Heredity, 123(2), 202-214. https://doi.org/10.1038/s41437-019-0192-4

Chen, M., Su, G., Fu, J., Wang, A., Liu, J. F., Lund, M. S. & Guldbrandtsen, B. (2019). Introgression of Chinese haplotypes contributed to the improvement of Danish Duroc pigs. Evolutionary Applications, 12(2), 292-300. https://doi.org/10.1111/eva.12716

Naeemipour Younesi, H., Shariati, M. M., Zerehdaran, S., Jabbari Nooghabi, M. & Løvendahl, P. (2019). Using quantile regression for fitting lactation curve in dairy cows. Journal of Dairy Research, 86(1), 19-24. https://doi.org/10.1017/S0022029919000013

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle. BMC Genetics, 20, Artikel 15. https://doi.org/10.1186/s12863-019-0717-0

Wang, X., Lund, M. S., Ma, P., Janss, L., Kadarmideen, H. N. & Su, G. (2019). Improving genomic predictions by correction of genotypes from genotyping by sequencing in livestock populations. Journal of Animal Science and Biotechnology, 10, Artikel 8. https://doi.org/10.1186/s40104-019-0315-z

Liu, H., Tessema, B. B., Jensen, J., Cericola, F., Andersen, J. R. & Sørensen, A. C. (2019). ADAM-Plant: A Software for Stochastic Simulations of Plant Breeding From Molecular to Phenotypic Level and From Simple Selection to Complex Speed Breeding Programs. Frontiers in Plant Science, 9, 1926. Artikel 1926. https://doi.org/10.3389/fpls.2018.01926

Clasen, J. B., Fogh, A. & Kargo, M. (2019). Differences between performance of F1 crossbreds and Holsteins at different production levels. Journal of Dairy Science, 102(1), 436-441. https://doi.org/10.3168/jds.2018-14975

Zaalberg, R. M., Shetty, N., Janss, L. & Buitenhuis, A. J. (2019). Genetic analysis of Fourier transform infrared milk spectra in Danish Holstein and Danish Jersey. Journal of Dairy Science, 102(1), 503-510. https://doi.org/10.3168/jds.2018-14464

Nielsen, H. M. & Kargo, M. (2019). A conservation plan for the Danish Jutland horse. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Mesbah-Uddin, M., Hoze, C., Michot, P., Barbat, A., Lefebvre, R., Boussaha, M., Sahana, G., Fritz, S., Boichard, D. & Capitan, A. (2019). A missense mutation (p.Tyr452Cys) in the CAD gene compromises reproductive success in French Normande cattle. Journal of Dairy Science, 102(7), 6340-6356. https://doi.org/10.3168/jds.2018-16100

Iso-Touru, T., Wurmser, C., Venhoranta, H., Hiltpold, M., Savolainen, T., Sironen, A., Fischer, K., Flisikowski, K., Fries, R., Vicente-Carrillo, A., Alvarez-Rodriguez, M., Nagy, S., Mutikainen, M., Peippo, J., Taponen, J., Sahana, G., Guldbrandtsen, B., Simonen, H., Rodriguez-Martinez, H. ... Pausch, H. (2019). A splice donor variant in CCDC189 is associated with asthenospermia in Nordic Red dairy cattle. BMC Genomics, 20(1), Artikel 286. https://doi.org/10.1186/s12864-019-5628-y

Chu, T. T., Norberg, E., Henshall, J. & Jensen, J. (2019). Benefits of using genomic information for broiler breeding program in presence of GxE interactions. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Clasen, J. B., Lehmann, J. O., Thomasen, J. R., Østergaard, S. & Kargo, M. (2019). Combining extended lactation with sexed semen in a dairy cattle herd: Effect on genetic and total economic return. Livestock Science, 223, 176-183. https://doi.org/10.1016/j.livsci.2019.03.001

Garnsworthy, P. C., Difford, G. F., Bell, M. J., Bayat, A. R., Huhtanen, P., Kuhla, B., Lassen, J., Peiren, N., Pszczola, M., Sorg, D., Visker, M. H. P. W. & Yan, T. (2019). Comparison of methods to measure methane for use in genetic evaluation of dairy cattle. Animals, 9(10), Artikel 837. https://doi.org/10.3390/ani9100837

Clasen, J., Kargo, M., Østergaard, S., Fikse, W. F., Rydhmer, L. & Strandberg, E. (2019). Consequences of crossbreeding, genotyping, and use of sexed semen and beef semen on genetic merit and profitability in Swedish dairy herds. 292-293. Abstract fra ADSA Annual Meeting 2019, Cincinnati, Ohio, USA. https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715

Schmidtmann, C., Kargo, M., Ettema, J. F., Hinrichs, D. & Thaller, G. (2019). Derivation of economic values for German dairy breeds. 609-609. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Warner, D., Dettmann, F., Buitenhuis, A. J., Kargo, M., Hostrup Kjeldsen, A. M., Nielsen, N. H., Lefebvre, D. M. & Santschi, D. E. (2019). Development of a prediction equation for body weight change in early-lactating dairy cows by Fourier-transform infrared predicted fatty acid profiles in milk. Journal of Dairy Science, 102(Supplement 1), 109-110. Artikel 95. https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715

Ruud, A. K., Malinowska, M., Bjarup Hansen, P., Svane, S. F., Eriksen, L. B., Fè, D., Jensen, C. S., Greve, M., Thorup-Kristensen, K., Nagy, I. & Asp, T. (2019). Differential gene expression and multi-omic analysis of drought stress in Lolium perenne. 287. Abstract fra EGF-EUCARPIA Symposium, Grassland Science in Europe, Zurich, Schweiz. https://www.europeangrassland.org/fileadmin/documents/Infos/Printed_Matter/Proceedings/EGF2019.pdf

Clasen, J., Kargo, M., Østergaard, S., Fikse, W. F., Rydhmer, L. & Strandberg, E. (2019). Effect of crossbreeding and using new techniques on genetic merit and economy in Swedish dairy herds. 285-285. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Steenfeldt, S., Sørensen, P. & Nielsen, B. L. (2019). Effects of choice feeding and lower ambient temperature on feed intake, growth, foot health, and panting of fast- and slow-growing broiler strains. Poultry Science, 98(2), 503-513. https://doi.org/10.3382/ps/pey323

Lee, A., Krawczel, P., Ternman, E. M., Schneider, L., Løvendahl, P. & Munksgaard, L. (2019). Effects of mean occupation rate on hourly automatic milking system use and total milk production in Holstein cows. Journal of Dairy Science, 102(Suppl. 1), 250-250. Artikel 262. https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715

Malinowska, M., Nagy, I., Ruud, A. K., Bjarup Hansen, P., Svane, S. F., Wagemaker, C. A. M., Krusell, L., Eriksen, B., Jahoor, A., Jensen, J. D., Fè, D., Lenk, I., Greve, M., Eriksen, L. B., Thorup-Kristensen, K., Jensen, C. S. & Asp, T. (2019). Epigenetics of drought responses in spring barley and perennial ryegrass. Abstract fra The Plant and Animal Genome XXVII Conference (PAG) 2019, San Diego, USA.

Guo, X., Jensen, J. & Janss, L. (2019). Estimating epistasis in cereals for genomic prediction of unobserved crosses in a half diallel experiment. Abstract fra The Plant and Animal Genome XXVII Conference (PAG) 2019, San Diego, USA. https://pag.confex.com/pag/xxvii/meetingapp.cgi/Paper/34819

Lee, A., Krawczel, P., Ternman, E. M., Schneider, L., Løvendahl, P. & Munksgaard, L. (2019). Evaluating the effects of mean occupation rate and milk production on two automatic milking systems. I R. C. Newberry & B. O. Braastad (red.), Proceedings of the 53rd Congress of the ISAE: Animal Lives Worth Living (s. 302-302). Wageningen Academic Publishers. https://www.applied-ethology.org/ISAE_Meetings.html

Lee, A. R., Krawczel, P., Ternman, E. M., Schneider, L. G., Løvendahl, P. & Munksgaard, L. (2019). Evaluating the effects of mean stocking density on automatic milking system use and total milk production in Holstein cows. I Proceedings of the 2nd International Precision Dairy Farming Conference (s. 71-72)

Olijhoek, D., Løvendahl, P., Hellwing, A. L. F., Weisbjerg, M. R. & Lund, P. (2019). Feed sorting of low and high concentrate diets by Holstein and Jersey dairy cows. 199. Abstract fra British Society of Animal Science conference 2019, Edinburgh, Storbritannien.

Sahana, G. (2019). Genes for disease resistance in cattle – lessons learned from genome-wide association studies. 81-82. Abstract fra XIV Agricultural Science Congress, New Delhi, Indien.

Guo, X. (2019). Genetic and Environmental Variation in Yield and Root Development in Winter Wheat Using a Semi-Field Phenotyping System. Abstract fra Plant and Animal Genome Conference ASIA 2019, Shenzhen, Kina.

Lidauer, M., Leino, A.-M., Stephansen, R. B., Pösö, J., Fikse, F. & Aamand, G. P. (2019). Genetic Evaluation for Maintenance – Towards Genomic Breeding Values for Saved Feed in Nordic Dairy Cattle. I Interbull Bulletin: Proceedings of the 2019 Interbull Meeting (Bind 55 (2019), s. 21-25) https://journal.interbull.org/index.php/ib/article/view/177

Mebratie, W., Madsen, P., Hawken, R., Romé, H., Marois, D., Henshall, J., Bovenhuis, H. & Jensen, J. (2019). Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens. Genetics Selection Evolution, 51(1), Artikel 53. https://doi.org/10.1186/s12711-019-0494-2

Guo, X., Cericola, F., Fè, D., Greve-Pedersen, M., Lenk, I., Jensen, C. S., Jensen, J. & Janss, L. (2019). Genomic Prediction in Tetraploid Ryegrass. Abstract fra PAG 2017, San Diego, USA.

Cao, L., Liu, H., Mulder, H. A., Henryon, M., Thomasen, J. R., Kargo, M. & Sørensen, A. C. (2019). Genomic selection breeding program benefits more than traditional one in presence of GxE. 528-528. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Thomasen, J. R. & Lassen, J. (2019). Genomic Selection in the Nordic Countries. 45-47. Abstract fra ZAR-Seminar 2019, Østrig. https://www.rinderzucht.at/downloads/seminarunterlagen.html

Chu, T. T., Rome, H. J. S., Norberg, E., Marois, D., Henshall, J. & Jensen, J. (2019). GxE interactions of body weight for broilers raised in bio-secure and commercial environments. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Wiking, L., Bjerring, M., Løkke, M. M., Løvendahl, P. & Kristensen, T. (2019). Herd factors influencing free fatty acid concentrations in bulk tank milk. Journal of Dairy Research, 86(2), 226-232. Artikel 0022029919000190. https://doi.org/10.1017/S0022029919000190

Buitenhuis, B., Lassen, J., Noel, S. J., Plichta, D. R., Sørensen, P., Difford, G. F. & Poulsen, N. A. (2019). Impact of the rumen microbiome on milk fatty acid composition of Holstein cattle. Genetics Selection Evolution, 51(1), Artikel 23. https://doi.org/10.1186/s12711-019-0464-8

de los Campos, G., Sorensen, D. A. & Toro, M. A. (2019). Imperfect linkage disequilibrium generates phantom epistasis (& perils of big data). G3: Genes, Genomes, Genetics, 9(5), 1429-1436. https://doi.org/10.1534/g3.119.400101

Kargo, M., Hein, L., Poulsen, N. A. & Buitenhuis, A. J. (2019). Keeping up with a healthy milk fatty acid profile requires selection. 604-604. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Henryon, M., Liu, H., Berg, P., Su, G., Nielsen, H. M., Gebregiwergis, G. T. & Sørensen, A. C. (2019). Pedigree relationships to control inbreeding in optimum-contribution selection realise more genetic gain than genomic relationships. Genetics Selection Evolution, 51(1), Artikel 39. https://doi.org/10.1186/s12711-019-0475-5

Slagboom, M., Hjortø, L., Sørensen, A. C., Mulder, H. A., Thomasen, J. R. & Kargo, M. (2019). Possibilities for a specific breeding program for organic dairy production. 215-215. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

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

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 (PNAS), 116(39), 19398-19408. https://doi.org/10.1073/pnas.1904159116

Slagboom, M. (2019). Quantifying the value of specific breeding lines for organic dairy cattle. Aarhus University.

Negussie, E., Mehtiö, T., Mäntysaari, P., Løvendahl, P., Mäntysaari, E. A. & Lidauer, M. H. (2019). Reliability of breeding values for feed intake and feed efficiency traits in dairy cattle: When dry matter intake recordings are sparse under different scenarios. Journal of Dairy Science, 102(8), 7248-7262. https://doi.org/10.3168/jds.2018-16020

Nielsen, L. V., Nielsen, B., Christensen, O. F., Turner, S. P., Nielsen, H. M. & Ask, B. (2019). Selection of pigs for social genetic effects improves growth in crossbreeds. Afhandling præsenteret på Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Kargo, M., Clasen, J., Ettema, J. F., Davis, R. B. & Østergaard, S. (2019). SimHerd Crossbred for estimating the economic effects of crossbreeding. 285-285. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Mebratie, W. (2019). The genetics of body weight and feed efficiency in broiler chickens. Aarhus Unversitet.

Dettmann, F., Warner, D., Buitenhuis, A. J., Kargo, M., Hostrup Kjeldsen, A. M., Nielsen, N. H., Lefebvre, D. M. & Santschi, D. E. (2019). The use of fatty acid profiles from milk recording samples to predict body weight change of dairy cows in early lactation in commercial farms. I J. Kucera, P. Bucek, D. Lipovsky, X. Bourrigan & M. Burke (red.), New traits and adding value to the recording and ID services in the animal production: Proceedings of the ICAR Conference held in Prague, CZ, 17-21 June 2019 (s. 143-154). ICAR. https://www.icar.org/wp-content/uploads/2019/12/ICAR-Technical-Series-24-Prague-2019-Proceedings.pdf

Ma, X., Li, P., Zhang, Q., He, L., Su, G., Huang, Y., Lu, Z., Hu, W., Ding, H. & Huang, R. (2019). Transcriptome analysis of the endometrium from Chinese Erhualian sows that differ in calcium ion concentration and litter size. Animal Genetics, 50(4), 326-333. https://doi.org/10.1111/age.12788

Ma, P., Lund, M. S., Aamand, G. P. & Su, G. (2019). Use of a Bayesian model including QTL markers increases prediction reliability when test animals are distant from the reference population. Journal of Dairy Science, 102(8), 7237-7247. https://doi.org/10.3168/jds.2018-15815

Chu, T. T., Bastiaansen, J. WM., Berg, P. & Komen, H. (2019). Use of genomic information to improve accuracy of prediction from group records. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Gao, H., Nielsen, B., Su, G., Madsen, P., Jensen, J., Christensen, O. F., Ostersen, T. & Shirali, M. (2019). Use of repeated group measurements with drop out animals for genetic analysis. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Rome, H. J. S., Chu, T. T., Hawken, R., Henshall, J. & Jensen, J. (2019). WGBLUP model improves accuracy of breeding values prediction in a commercial line of broilers. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Holmquist, D. D., Buitenhuis, A. J., Nielsen, N. H., Poulsen, N. A., Munk, A. & Kargo, M. (2019). Where will new techologies take milk recording? Large scale screening of the Danish dairy cattle population for their milk fatty acid profile. Abstract fra ICAR 2019, Prag, Tjekkiet. https://www.icar.org/Documents/Prague-2019/Abstracts/S06(T)-OP-1.pdf

Salleh, S. M., Mazzoni, G., Løvendahl, P. & Kadarmideen, H. N. (2018). Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency. BMC Bioinformatics, 19(1), Artikel 513. https://doi.org/10.1186/s12859-018-2553-z

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Retraction Note: Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle ( Reference: BMC Genetics (2018) 19:30 DOI: 10.1186/s12863-018-0620-0). BMC Genetics, 19(1), Artikel 111. https://doi.org/10.1186/s12863-018-0698-4

Vestergaard, H. T., Thomsen, M. K., Nielsen, L. & Panum, I. (2018). Diagnostik af kongenit cytomegalovirusinfektion i Danmark. Ugeskrift for Læger, 180(50).

Madsen, M. D., Madsen, P., Nielsen, B., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Macro-environmental sensitivity for growth rate in Danish Duroc pigs is under genetic control. Journal of Animal Science, 96(12), 4967-4977. https://doi.org/10.1093/jas/sky376

Ma, X., Li, P. H., Zhu, M. X., He, L. C., Sui, S. P., Gao, S., Su, G. S., Ding, N. S., Huang, Y., Lu, Z. Q., Huang, X. G. & Huang, R. H. (2018). Genome-wide association analysis reveals genomic regions on Chromosome 13 affecting litter size and candidate genes for uterine horn length in Erhualian pigs. Animal, 12(12), 2453-2461. https://doi.org/10.1017/S1751731118000332

Fang, L., Sørensen, P., Sahana, G., Panitz, F., Su, G., Zhang, S., Yu, Y., Li, B., Ma, L., Liu, G., Lund, M. S. & Thomsen, B. (2018). MicroRNA-guided prioritization of genome-wide association signals reveals the importance of microRNA-target gene networks for complex traits in cattle. Scientific Reports, 8(1), Artikel 9345. https://doi.org/10.1038/s41598-018-27729-y

Løvendahl, P., Difford, G. F., Li, B., Chagunda, M. G. G., Huhtanen, P., Lidauer, M. H., Lassen, J. & Lund, P. (2018). Review: Selecting for improved feed efficiency and reduced methane emissions in dairy cattle. Animal, 12(S2), 336-349. https://doi.org/10.1017/S1751731118002276

Zhang, Z., Zhang, Q., Xiao, Q., Sun, H., Gao, H., Yang, Y., Chen, J., Li, Z., Xue, M., Ma, P., Yang, H., Xu, N., Wang, Q. & Pan, Y. (2018). Distribution of runs of homozygosity in Chinese and Western pig breeds evaluated by reduced-representation sequencing data. Animal Genetics, 49(6), 579-591. https://doi.org/10.1111/age.12730

Stephansen, R. S., Fogh, A. & Norberg, E. (2018). Genetic parameters for handling and milking temperament in Danish first-parity Holstein cows. Journal of Dairy Science, 101(12), 11033-11039. https://doi.org/10.3168/jds.2018-14804

Zetouni, L., Difford, G. F., Lassen, J., Byskov, M. V., Norberg, E. & Løvendahl, P. (2018). Is rumination time an indicator of methane production in dairy cows? Journal of Dairy Science, 101(12), 11074-11085. https://doi.org/10.3168/jds.2017-14280

Gao, H., Madsen, P., Pösö, J., Aamand, G. P., Lidauer, M. & Jensen, J. (2018). Short communication: Multivariate outlier detection for routine Nordic dairy cattle genetic evaluation in the Nordic Holstein and Red population. Journal of Dairy Science, 101(12), 11159-11164. https://doi.org/10.3168/jds.2018-15123

Slagboom, M., Wallenbeck, A., Hjortø, L., Sørensen, A. C., Rydhmer, L., Thomasen, J. R. & Kargo, M. (2018). Simulating consequences of choosing a breeding goal for organic dairy production. Journal of Dairy Science, 101(12), 11086-11096. https://doi.org/10.3168/jds.2017-14316

Ettema, J. F., Kudahl, A. B., Børsting, C. F. & Østergaard, S. (2018). Tørkeråd: Køb grovfoder i stedet for at slagte dyr. KvægNYT, 23, 2-2. https://www.landbrugsinfo.dk/kvaeg/kvaegnyt/sider/startside.aspx

Zhang, Q., Sahana, G., Su, G., Guldbrandtsen, B., Lund, M. S. & Calus, M. P. L. (2018). Impact of rare and low-frequency sequence variants on reliability of genomic prediction in dairy cattle. Genetics Selection Evolution, 50(1), Artikel 62. https://doi.org/10.1186/s12711-018-0432-8

Colli, L., Milanesi, M., Talenti, A., Bertolini, F., Chen, M., Crisà, A., Daly, K. G., Del Corvo, M., Guldbrandtsen, B., Lenstra, J. A., Rosen, B. D., Vajana, E., Catillo, G., Joost, S., Nicolazzi, E. L., Rochat, E., Rothschild, M. F., Servin, B., Sonstegard, T. S. ... The ADAPTMAP consortium (Vivi Hunnicke Nielsen; member) (2018). Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes. Genetics Selection Evolution, 50(1), Artikel 58. https://doi.org/10.1186/s12711-018-0422-x

Bertolini, F., Servin, B., Talenti, A., Rochat, E., Kim, E. S., Oget, C., Palhière, I., Crisà, A., Catillo, G., Steri, R., Amills, M., Colli, L., Marras, G., Milanesi, M., Nicolazzi, E., Rosen, B. D., Van Tassell, C. P., Guldbrandtsen, B., Sonstegard, T. S. ... The ADAPTMAP consortium (Vivi Hunnicke Nielsen; member) (2018). Signatures of selection and environmental adaptation across the goat genome post-domestication. Genetics Selection Evolution, 50, 57. https://doi.org/10.1186/s12711-018-0421-y

Cai, Z., Villumsen, T. M., Asp, T., Guldbrandtsen, B., Sahana, G. & Lund, M. S. (2018). SNP markers associated with body size and pelt length in American mink (Neovison vison). BMC Genetics, 19(1), Artikel 103. https://doi.org/10.1186/s12863-018-0688-6

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), Artikel 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 fra 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, USA.

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 fra 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, USA.

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. Artikel 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. I Y. O. Çiftçi (red.), Next Generation Plant Breeding (s. 107). InTechOpen. https://doi.org/10.5772/intechopen.74724

Villumsen, T. M. & Lund, M. S. (2018). Anvendelse af auktionsdata i minkavlen. I S. H. Møller & J. Malmkvist (red.), Temadag om aktuel minkforskning: DCA Rapport nr. 129, September 2018 (s. 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), Artikel 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. I R. Baumont, M. Silberberg & I. Cassar-Malek (red.), Proceedings of the 10th International Symposium on the Nutrition of Herbivores (Bind 9). Artikel 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 Nr. 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.

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