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/S1751731118000332Fang, 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.12730Zetouni, 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
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-xBertolini, 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-yCai, 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.
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.2018.08.024Begli, 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/S1751731117003354Olesen, 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
Nayee, N., Sahana, G., Gajjar, S., Sudhakar, A., Trivedi, K.
, Lund, M. S. & Guldbrandtsen, B. (2018).
Suitability of existing commercial single nucleotide polymorphism chips for genomic studies in Bos indicus cattle breeds and their Bos taurus crosses.
Journal of Animal Breeding and Genetics (Online),
135(6), 432-441.
https://doi.org/10.1111/jbg.12356
Ma, P., Huang, J., Gong, W.
, Li, X., Gao, H., Zhang, Q., Ding, X. & Wang, C. (2018).
The impact of genomic relatedness between populations on the genomic estimated breeding values.
Journal of Animal Science and Biotechnology,
9(1), Artikel 64.
https://doi.org/10.1186/s40104-018-0279-4
Guo, X., Cericola, F., Fè, D., Pedersen, M. G., Lenk, I.
, Jensen, C. S., Jensen, J. & Janss, L. L. (2018).
Genomic prediction in tetraploid ryegrass using allele frequencies based on genotyping by sequencing.
Frontiers in Plant Science,
9, Artikel 1165.
https://doi.org/10.3389/fpls.2018.01165
Su, 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
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.2018.01118Zhang, 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
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
Salleh, S. M., Mazzoni, G., Nielsen, M. O.
, Løvendahl, P. & Kadarmideen, H. (2018).
Identification of Expression QTLs Targeting Candidate Genes for Residual Feed Intake in Dairy Cattle Using Systems Genomics.
Journal of Genetics and Genome Research,
5(1), Artikel 035.
https://www.clinmedjournals.org/articles/jggr/journal-of-genetics-and-genome-research-jggr-5-035.pdf?jid=jggrMukherjee, A.
, Mukherjee, S., Dhakal, R., Mech, M., Longkumer, I., Haque, N., Vupru, K., Khate, K., Jamir, I. Y., Pongen, P., Rajkhowa, C., Mitra, A.
, Guldbrandtsen, B. & Sahana, G. (2018).
High-density Genotyping reveals Genomic Characterization, Population Structure and Genetic Diversity of Indian Mithun (Bos frontalis).
Scientific Reports,
8(1), Artikel 10316.
https://doi.org/10.1038/s41598-018-28718-xMarete, A. G., Sahana, G., Fritz, S., Lefebvre, R., Barbat, A.
, Lund, M. S., Guldbrandtsen, B. & Boichard, D. (2018).
Genome-wide association study for milking speed in French Holstein cows.
Journal of Dairy Science,
101(7), 6205-6219.
https://doi.org/10.3168/jds.2017-14067
Song, 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.2017-13456Rohde, P. D., Østergaard, S., Kristensen, T. N.
, Sørensen, P., Loeschcke, V., F C Mackay, T.
& Sarup, P. M. (2018).
Functional validation of candidate genes detected by genomic feature models.
G3: Genes, Genomes, Genetics (Bethesda),
8(5), 1659-1668.
https://doi.org/10.1534/g3.118.200082
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
Cericola, F., Lenk, I., Fè, D.
, Byrne, S., Jensen, C. S., Pedersen, M. G.
, Asp, T., Jensen, J. & Janss, L. (2018).
Optimized Use of Low-Depth Genotyping-by-Sequencing for Genomic Prediction among multi-parental Family Pools and Single Plants in Perennial Ryegrass (Lolium perenne L.).
Frontiers in Plant Science,
9, Artikel 369.
https://doi.org/10.3389/fpls.2018.00369
Bouwman, A. C., Daetwyler, H. D., Chamberlain, A. J., Ponce, C. H., Sargolzaei, M., Schenkel, F. S.
, Sahana, G., Govignon-Gion, A.
, Boitard, S., Dolezal, M., Pausch, H.
, Brøndum, R. F., Bowman, P. J.
, Thomsen, B., Guldbrandtsen, B., Lund, M. S., Servin, B., Garrick, D. J., Reecy, J. ... Hayes, B. J. (2018).
Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals.
Nature Genetics,
50(3), 362-372.
https://doi.org/10.1038/s41588-018-0056-5Karaman, 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.
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
Kristensen, P. S., Jahoor, A.
, Andersen, J. R., Cericola, F., Orabi, J.
, Janss, L. L. & Jensen, J. (2018).
Genome-wide association studies and comparison of models and cross-validation strategies for genomic prediction of quality traits in advanced winter wheat breeding lines.
Frontiers in Plant Science,
9, Artikel 69.
https://doi.org/10.3389/fpls.2018.00069
Mesbah-Uddin, M., Guldbrandtsen, B., Iso-Touru, T., Vilkki, J., De Koning, D.-J., Boichard, D.
, Lund, M. S. & Sahana, G. (2018).
Genome-wide mapping of large deletions and their population-genetic properties in dairy cattle.
D N A Research,
25(1), 49-59.
https://doi.org/10.1093/dnares/dsx037
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.
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.
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.
Ørsted, M.
, Rohde, P. D., Hoffmann, A. A.
, Sørensen, P. & Kristensen, T. N. (2018).
Environmental variation partitioned into separate heritable components.
Evolution,
72(1), 136-152.
https://doi.org/10.1111/evo.13391Hosseini-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.
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.
Marete, A. G., Guldbrandtsen, B., Lund, M. S., Fritz, S.
, Sahana, G. & Boichard, D. (2018).
A Meta-Analysis Including Pre-selected Sequence Variants Associated With Seven Traits in Three French Dairy Cattle Populations.
Frontiers in Genetics,
9, Artikel 522.
https://doi.org/10.3389/fgene.2018.00522
Slagboom, 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.
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-predictionDifford, 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
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.
Boichard, 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-cattleMarete, 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
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.
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.
Gajjar, 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=14045Poulsen, 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
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.pdfNayee, 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.
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-holsteinSu, 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
Anche, 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
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
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
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.
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.
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.
