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
Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S., Boichard, D.
& Sahana, G. (2019).
Joint imputation of whole-genome sequence variants and large chromosomal deletions in cattle.
Journal of Dairy Science,
102(12), 11193-11206.
https://doi.org/10.3168/jds.2019-16946
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
Mebratie, W., Reyer, H., Wimmers, K.
, Bovenhuis, H. & Jensen, J. (2019).
Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation.
Scientific Reports,
9, Artikel 922.
https://doi.org/10.1038/s41598-018-37216-z
Malik, P. L.
, Janss, L., Nielsen, L. K., Borum, F., Jørgensen, H., Eriksen, B., Schjoerring, J. K. & Rasmussen, S. K. (2019).
Breeding for dual-purpose wheat varieties using marker–trait associations for biomass yield and quality traits.
Theoretical and Applied Genetics,
132(12), 3375-3398.
https://doi.org/10.1007/s00122-019-03431-zMa, 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
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
Liu, A., Su, G., Höglund, J., Zhang, Z., Thomasen, J. R., Christiansen, I. A., Wang, Y.
& Kargo, M. (2019).
Genotype by environment interaction for female fertility traits under conventional and organic production systems in Danish Holsteins.
Journal of Dairy Science,
102(9), 8134-8147.
https://doi.org/10.3168/jds.2018-15482
Liu, A., Lund, M. S., Boichard, D. A.
, Karaman, E., Fritz, S., Aamand, G. P., Nielsen, U. S., Wang, Y.
& Su, G. (2019).
Improvement of genomic prediction by integrating additional single nucleotide polymorphisms selected from imputed whole genome sequencing data.
Heredity,
124(1), 37-49.
https://doi.org/10.1038/s41437-019-0246-7
Kristensen, P. S., Jensen, J., Andersen, J. R., Guzmán, C., Jihad, O. & Jahoor, A. (2019).
Genomic Prediction and Genome-Wide Association Studies of Flour Yield and Alveograph Quality Traits Using Advanced Winter Wheat Breeding Material.
Genes,
10(9), Artikel 669.
https://doi.org/10.3390/genes10090669
Kristensen, P. S., Jahoor, A., Andersen, J. R., Jihad, O.
, Janss, L. & Jensen, J. (2019).
Multi-Trait and Trait-Assisted Genomic Prediction of Winter Wheat Quality Traits Using Advanced Lines from Four Breeding Cycles.
Hapres CBGG; Crop, Breeding, Genetics, Genomics, Artikel :e190010.
https://doi.org/10.20900/cbgg20190010
Knorst, V., Yates, S.
, Byrne, S., Asp, T., Widmer, F.
, Studer, B. & Kölliker, R. (2019).
First assembly of the gene-space of Lolium multiflorum and comparison to other Poaceae genomes.
Grassland Science,
65(2), 125-134.
https://doi.org/10.1111/grs.12225Knorst, V.
, Byrne, S., Yates, S.
, Asp, T., Widmer, F.
, Studer, B. & Kölliker, R. (2019).
Pooled DNA sequencing to identify SNPs associated with a major QTL for bacterial wilt resistance in Italian ryegrass (Lolium multiflorum Lam.).
Theoretical and Applied Genetics,
132(4), 947-958.
https://doi.org/10.1007/s00122-018-3250-zIso-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-yHenryon, 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/s12711-019-0475-5Heidaritabar, M., Bijma, P.
, Janss, L., Bortoluzzi, C.
, Nielsen, H. M., Madsen, P., Ask, B.
& Christensen, O. F. (2019).
Models with indirect genetic effects depending on group sizes: a simulation study assessing the precision of the estimates of the dilution parameter.
Genetics Selection Evolution,
51(1), 24. Artikel 24.
https://doi.org/10.1186/s12711-019-0466-6
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).
Combining multi-population datasets for joint genome-wide association and meta-analyses: The case of bovine milk fat composition traits.
Journal of Dairy Science,
102(12), 11124-11141.
https://doi.org/10.3168/jds.2019-16676
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
Gebreyesus, G., Bovenhuis, H., Lund, M. S., Poulsen, N. A., Sun, D.
& Buitenhuis, B. (2019).
Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results.
Genetics Selection Evolution,
51(1), Artikel 16.
https://doi.org/10.1186/s12711-019-0460-z
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/ani9100837Gao, H., Madsen, P., Aamand, G. P.
, Thomasen, J. R., Sørensen, A. C. & Jensen, J. (2019).
Bias in estimates of variance components in populations undergoing genomic selection: a simulation study.
BMC Genomics,
20(1), Artikel 956.
https://doi.org/10.1186/s12864-019-6323-8
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 Variance Component Estimation and Genetic Evaluation: A Simulation Study.
G3: Genes, Genomes, Genetics,
9(9), 2935-2940.
https://doi.org/10.1534/g3.119.400484
Gan, Q. F., Li, Y. R.
, Lund, M., Su, G. S. & Liang, X. W. (2019).
Genome-wide association study identifies loci linked to serum electrolyte traits in Chinese Holstein cattle.
Animal Genetics,
50(6), 744-748.
https://doi.org/10.1111/age.12851Fan, H.
, Hou, Y., Sahana, G., Gao, H., Zhu, C., Du, L., Zhao, F. & Wang, L. (2019).
A Transcriptomic Study of the Tail Fat Deposition in Two Types of Hulun Buir Sheep According to Tail Size and Sex.
Animals,
9(9), Artikel 655.
https://doi.org/10.3390/ani9090655Due, H.
, Schönherz, A. A., Ryø, L., Primo, M. N., Jespersen, D. S.
, Thomsen, E. A., Roug, A. S., Xiao, M., Tan, X., Pang, Y., Young, K. H.
, Bøgsted, M., Mikkelsen, J. G. & Dybkær, K. (2019).
MicroRNA-155 controls vincristine sensitivity and predicts superior clinical outcome in diffuse large B-cell lymphoma.
Blood Advances,
3(7), 1185-1196.
https://doi.org/10.1182/bloodadvances.2018029660Clasen, 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
