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.2019.03.001Chu, T. T., Bastiaansen, J. WM.
, Berg, P., Rome, H. J. S., Marois, D., Henshall, J.
& Jensen, J. (2019).
Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments.
Genetics Selection Evolution,
51, Artikel 50.
https://doi.org/10.1186/s12711-019-0493-3
Christensen, O. F., Nielsen, B., Su, G., Xiang, T.
, Madsen, P., Ostersen, T., Velander, I. & Strathe, A. B. (2019).
A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs.
Genetics Selection Evolution,
51(1), Artikel 45.
https://doi.org/10.1186/s12711-019-0486-2
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
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
Bornhofen, E., Ramires, T. G.
, Bergonci, T., Nakamura, L. R. & Righetto, A. J. (2019).
Associations between global indices of risk management and agricultural development.
Agricultural Systems,
173, 281-288.
https://doi.org/10.1016/j.agsy.2019.03.006
Bordbar, F.
, Jensen, J., Zhu, B., Wang, Z., Xu, L., Chang, T., Xu, L., Du, M., Zhang, L., Gao, H., Xu, L. & Li, J. (2019).
Identification of muscle-specific candidate genes in Simmental beef cattle using imputed next generation sequencing.
PLOS ONE,
14(10), Artikel e0223671.
https://doi.org/10.1371/journal.pone.0223671Aliakbari, A., Ehsani, A., Vaez Torshizi, R.
, Løvendahl, P., Esfandyari, H., Jensen, J. & Sarup, P. (2019).
Genetic variance of metabolomic features and their relationship with body weight and body weight gain in Holstein cattle.
Journal of Animal Science,
97(9), 3832-3844.
https://doi.org/10.1093/jas/skz228Alexandre, P., Porto-Neto, L.
, Karaman, E., Lehnert, S. & Reverter, A. (2019).
Pooled genotyping strategies for the rapid construction of genomic reference populations.
Journal of Animal Science,
97(12), 4761– 4769.
https://doi.org/10.1093/jas/skz344Slagboom, 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. Afhandling præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
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. Afhandling præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
Kargo, M., Thomasen, J. R., Wallenbeck, A.
, Hjortø, L. & Slagboom, M. (2018).
Organic dairy breeding lines? – Possibilities and Requirements. Afhandling præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
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 fra ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
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 fra 5th International Conference on Quantitative Genetics, Madison, USA.
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 fra 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
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 fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.
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 fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.
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 fra The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.
Sarup, P. M., Jensen, J., Ostersen, T.
, Christensen, O. F. & Sørensen, P. (2018).
H1 NMR metabolomic phenotypic prediction of growth in pigs. Abstract fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.
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.
Nielsen, B. J., Gao, H., Ostersen, T.
, Su, G., Jensen, J., Madsen, P. & Shirali, M. (2018).
Group recordings accounted for drop out animals. Abstract fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.
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 fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.
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 fra The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.
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 fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.
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 præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
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 præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, 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 præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
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 præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
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 præsenteret på World Congress on Genetics Applied to Livestock Production, Auckland, New Zealand.
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 præsenteret på IDF World Dairy Summit 2018, Daejeon, Sydkorea.
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? I S. C. (red.),
Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science (Bind 24). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-871-1
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. I
Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Methods and Tools - Prediction 2 Artikel 11.618
http://www.wcgalp.org/proceedings/2018/genomic-selection-mink-yield-higher-accuracies-bayesian-approach-allowing
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. I
Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Methods and Tools - Prediction 3 (s. 1-6). Artikel 11.565 WCGALP.
http://www.wcgalp.org/proceedings/2018/efficiency-group-records-prediction-breeding-values
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. I
Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 (Bind Volume Electronic Poster Session - Methods and Tools - Prediction 2). Artikel 474 WCGALP.
http://www.wcgalp.org/system/files/proceedings/2018/genomic-prediction-dry-matter-intake-nordic-holsteins.pdf
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. I
Proceedings of the 11th World Congress on Genetics Applied to Livestock Production (WCGALP), Auckland, New Zealand Artikel 312
Nielsen, H.-M., Ask, B.
, Christensen, O. F., Janss, L., Heidaritabar, M. & Madsen, P. (2018).
Social genetic effects for growth in Landrace pigs with varying group sizes. I
Proceedings of the World Congress on Genetics Applied to Livestock Production, 11.212 http://www.wcgalp.org/system/files/proceedings/2018/social-genetic-effects-growth-landrace-pigs-varying-group-sizes.pdf
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. I
Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Theory to Application - 1 (Bind 11). Artikel 11.411
http://www.wcgalp.org/proceedings/2018/genomic-prediction-single-step-genomic-blup-using-cow-reference-population-holsteinMarete, 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. I
Proceedings of the World Congress on Genetics Applied to Livestock Production Artikel 70
Luo, H., Xu, W.
, Liu, A., Li, X., Liu, L. & Wang, Y. (2018).
Genome-wide association study for rectal temperature in Chinese Holstein population. I
Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Artikel 587
http://www.wcgalp.org/system/files/proceedings/2018/genome-wide-association-study-rectal-temperature-chinese-holstein-population.pdfLiu, A., Lund, M. S., Boichard, D., Fritz, S.
, Karaman, E., Wang, Y.
& Su, G. (2018).
Using additional single nucleotide polymorphisms selected from whole genome sequence data for genomic prediction in Danish Jersey. I
Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Artikel 586
http://www.wcgalp.org/system/files/proceedings/2018/using-additional-single-nucleotide-polymorphisms-selected-whole-genome-sequence-data-genomic.pdf
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. I
Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 1 Artikel 539
http://www.wcgalp.org/proceedings/2018/genomics-using-assembly-mink-genome
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. I
Proceedings of the World Congress on Genetics Applied to Livestock Production 2018: Volume theory to application (Bind 3). Artikel 11.754
http://www.wcgalp.org/proceedings/2018/breed-origin-specific-genomic-relationship-matrix-improves-genomic-predictionGajjar, 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. I
Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Challenges - Species Conservation Artikel 585
http://www.wcgalp.org/archive?f%5Bauthor%5D=14045Boichard, 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. I
Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Molecular Genetics 4 (Bind 11). Artikel 11.675
http://www.wcgalp.org/proceedings/2018/experience-large-scale-use-eurogenomics-custom-snp-chip-cattleAnche, M. T., Su, G., Karaman, E., Janss, L. & Lund, M. S. (2018).
Genomic prediction using multi-trait model with heterogeneous genomic (co)variance. I
Proceedings of the World Congress on Genetics Applied to Livestock, 2018 (Bind Volume Methods and Tools - Models and Computing Strategies 2, s. 1-6). Artikel 284
http://www.wcgalp.org/system/files/proceedings/2018/genomic-prediction-using-multi-trait-model-heterogeneous-genomic-covariance.pdf
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
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
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.12730Zhang, 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
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
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
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), Artikel 141.
https://doi.org/10.3389/fgene.2018.00141
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
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, Artikel 1118.
https://doi.org/10.3389/fpls.2018.01118Su, 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), Artikel 42.
https://doi.org/10.1186/s12711-018-0413-y
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.2018.08.024Song, 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.2017-13456Slagboom, 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
Skjerve, T. A., Grova, L., Sorheim, L. K.
, Slagboom, M., Eriksson, S.
, Kargo, M. & Wallenbeck, A. (2018).
Norwegian dairy farmers' preferences for breeding goal traits and associations with herd and farm characteristics.
Acta Agriculturae Scandinavica, Section A - Animal Science,
68(3), 117-123.
https://doi.org/10.1080/09064702.2019.1627406Schönherz, 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), Artikel e00436-18.
https://doi.org/10.1128/JVI.00436-18,
https://doi.org/10.1128/JVI.00436-18
