Publikationer

Peer-reviewed publikationer ved QGG

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Nielsen, B., Horndrup, L. V. & Ask, B. (2022). Modeller for social genetiske effekter hos grise og betydningen for dyrevelfærd. I Symposium i anvendt statistik (s. 126-128). SEGES Innovation. http://www.statistiksymposium.dk/Symposium%202022_Web.pdf

Clasen, J. B., Nielsen, H. M., Hein, L., Johansen, K., Vestergaard, M. & Kargo, M. (2022). Performance of first parity Holstein, Danish Red and their crosses in an experimental setting. I Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (EAAP): Book of abstracts No. 28 (2022) (s. 671). Wageningen Academic Publishers. https://www.eaap2022.org/docs/AbstractBookEAAP.pdf

Poulsen, B. G., Ostersen, T., Nielsen, B. & Christensen, O. F. (2022). Predictive performances of animal models using different multibreed relationship matrices in systems with rotational crossbreeding. Genetics, selection, evolution : GSE, 54, Artikel 25. https://doi.org/10.1186/s12711-022-00714-w

Thomasen, J. R., Nielsen, H. M., Kargo, M. & Slagboom, M. (2022). Purebred breeding goals optimized for crossbreeding improves crossbred performance. I Book of Abstracts of the 73rd Annual Meeting - EAAp (s. 598). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-937-4

Kempe, R. M., Mehtiö, T., Leino, A.-M., Koivula, M., Pitkänen, T. J., Stephansen, R. B., Mäntysaari, P., Negussie, E., Pösö, J., Nielsen, U. S., Fikse, W. F., Aamand, G. P. & Lidauer, M. H. (2022). Single-step genomic prediction for metabolic body weight of Nordic Red dairy cattle. I WCGALP 2022: Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/14_005.pdf

Sargent, C., Kosmadopoulos, A., Zhou, X. & Roach, G. D. (2022). Timing of Sleep in the Break Between Two Consecutive Night-Shifts: The Effect of Different Strategies on Daytime Sleep and Night-Time Neurobehavioural Function. Nature and Science of Sleep, 14, 231-242. https://doi.org/10.2147/NSS.S336795

Econogene Consortium, Ajmone-Marsan, P., Bradley, D. G., Colli, L., Drögemüller, C., Lei, C., Mannen, H., Pompanon, F., Tosser-Klopp, G. & Jiang, Y. (2022). Y-chromosomal haplogroups from wild and domestic goats reveal ancient migrations and recent introgressions. I R. F. Veerkamp & Y. de Haas (red.), Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP): Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges (s. 886-889). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-940-4_208

Zhang, Q., Privé, F., Vilhjálmsson, B. & Speed, D. (2021). Improved genetic prediction of complex traits from individual-level data or summary statistics. Nature Communications, 12(1), Artikel 4192. https://doi.org/10.1038/s41467-021-24485-y

Pan, Z., Yao, Y., Yin, H., Cai, Z., Wang, Y., Bai, L., Kern, C., Halstead, M., Chanthavixay, G., Trakooljul, N., Wimmers, K., Sahana, G., Su, G., Lund, M. S., Fredholm, M., Karlskov-Mortensen, P., Ernst, C. W., Ross, P., Tuggle, C. K. ... Zhou, H. (2021). Pig genome functional annotation enhances the biological interpretation of complex traits and human disease. Nature Communications, 12(1), Artikel 5848. https://doi.org/10.1038/s41467-021-26153-7

Eiríksson, J. H., Karaman, E., Su, G. & Christensen, O. F. (2021). Breed of origin of alleles and genomic predictions for crossbred dairy cows. Genetics Selection Evolution, 53(1), Artikel 84. https://doi.org/10.1186/s12711-021-00678-3

Madsen, M. D., van der Werf, J., Börner, V., Mulder, H. A. & Clark, S. (2021). Estimation of macro- and micro-genetic environmental sensitivity in unbalanced datasets. Animal, 15(12), Artikel 100411. https://doi.org/10.1016/j.animal.2021.100411

Atrian-Afiani, F., Gao, H., Joezy-Shekalgorabi, S., Madsen, P., Aminafshar, M., Ali, S. & Jensen, J. (2021). Genotype by climate zone interactions for fertility, somatic cell score, and production in Iranian Holsteins. Journal of Dairy Science, 104(12), 12994-13007. https://doi.org/10.3168/jds.2020-20084, https://doi.org/10.3168/jds.2020-20084

Slagboom, M., Sørensen, A. C., Thomasen, J. R., Liu, H., Kargo, M. & Hjortø, L. (2021). Ignoring genotype by environment interaction in the genetic evaluation of dairy cattle reduces accuracy but may increase selection intensity. Journal of Dairy Science, 104(12), 12756-12764. https://doi.org/10.3168/jds.2021-20876

Zhao, Q., Liu, H., Qadri, Q. R., Wang, Q., Pan, Y. & Su, G. (2021). Long-term impact of conventional and optimal contribution conservation methods on genetic diversity and genetic gain in local pig breeds. Heredity, 127(6), 546-553. https://doi.org/10.1038/s41437-021-00484-z

Poulsen, N. A., Sundekilde, U. K., Lindahl, E. I., Buitenhuis, A. J. & Larsen, L. B. (2021). Milk Genomics: Variation in milk composition in major Danish dairy breeds and exploitation in dairy products. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA Report Nr. 194 https://dcapub.au.dk/djfpublikation/index.asp?action=show&id=1479

Washburn, J. D., Cimen, E., Ramstein, G., Reeves, T., O’Briant, P., McLean, G., Cooper, M., Hammer, G. & Buckler, E. S. (2021). Predicting phenotypes from genetic, environment, management, and historical data using CNNs. Theoretical and Applied Genetics, 134(12), 3997-4011. https://doi.org/10.1007/s00122-021-03943-7

Salimiyekta, Y., Vaez‐torshizi, R., Abbasi, M. A., Emmamjome‐kashan, N., Amin‐afshar, M., Guo, X. & Jensen, J. (2021). Random regression model for genetic evaluation and early selection in the iranian holstein population. Animals, 11(12), Artikel 3492. https://doi.org/10.3390/ani11123492

Fu, C., Ostersen, T., Christensen, O. F. & Xiang, T. (2021). Single-step genomic evaluation with metafounders for feed conversion ratio and average daily gain in Danish Landrace and Yorkshire pigs. Genetics Selection Evolution, 53(1), 79. Artikel 79. https://doi.org/10.1186/s12711-021-00670-x

Chu, T. T., Henryon, M., Jensen, J., Ask, B. & Christensen, O. F. (2021). Statistical model and testing designs to increase response to selection with constrained inbreeding in genomic breeding programs for pigs affected by social genetic effects. Genetics Selection Evolution, 53(1), Artikel 1. https://doi.org/10.1186/s12711-020-00598-8

Ahmad, S., Drag, M. H., Salleh, S. M., Cai, Z. & Nielsen, M. O. (2021). Transcriptomics analysis of differentially expressed genes in subcutaneous and perirenal adipose tissue of sheep as affected by their pre- and early postnatal malnutrition histories. BMC Genomics, 22(1), Artikel 338. https://doi.org/10.1186/s12864-021-07672-5

Hartfield, M., Poulsen, N. A., Guldbrandtsen, B. & Bataillon, T. (2021). Using singleton densities to detect recent selection in Bos taurus. Evolution Letters, 5(6), 595-606. https://doi.org/10.1002/evl3.263

Bauer, M., Glenn, T., Achtyes, E. D., Alda, M., Agaoglu, E., Altınbaş, K., Andreassen, O. A., Angelopoulos, E., Ardau, R., Vares, E. A., Aydin, M., Ayhan, Y., Baethge, C., Bauer, R., Baune, B. T., Balaban, C., Becerra-Palars, C., Behere, A. P., Behere, P. B. ... Whybrow, P. C. (2021). Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder. International Journal of Bipolar Disorders, 9(1), Artikel 26. https://doi.org/10.1186/s40345-021-00231-7

Bellamy, K. K. L., Lingaas, F. & Madsen, P. (2021). Heritability of distichiasis in Havanese dogs in Norway. Canine medicine and genetics, 8(1), Artikel 11. https://doi.org/10.1186/s40575-021-00110-5

Jefsen, O. H., Speed, M., Speed, D. & Østergaard, S. D. (2021). Bipolar disorder and cannabis use: A bidirectional two-sample Mendelian randomization study. Addiction Biology, 26(6), Artikel 13030. https://doi.org/10.1111/adb.13030

Stephansen, R. B., Lassen, J., Ettema, J. F., Sørensen, L. P. & Kargo, M. (2021). Economic value of residual feed intake in dairy cattle breeding goals. Livestock Science, 253, Artikel 104696. https://doi.org/10.1016/j.livsci.2021.104696

Manzanilla Pech, C. I. V., Stephansen, R. B. & Lassen, J. (2021). Genetic parameters for feed efficiency using 3D cameras in jersey cows in commercial Danish farms. I Proceedings of the Association for the Advancement of Animal Breeding and Genetics (s. 226-229). Association for the Advancement of Animal Breeding and Genetics. http://www.aaabg.org/aaabghome/AAABG24papers/57Pech24226.pdf

Hao, D., Bai, J., Du, J., Wu, X., Thomsen, B., Gao, H., Su, G. & Wang, X. (2021). Overview of metabolomic analysis and the integration with multi-omics for economic traits in cattle. Metabolites, 11(11), Artikel 753. https://doi.org/10.3390/metabo11110753

Giri, A., Khaipho-Burch, M., Buckler, E. S. & Ramstein, G. (2021). Haplotype associated RNA expression (HARE) improves prediction of complex traits in maize. PLOS Genetics, 17(10), Artikel e1009568.

Christensen, O. F., Börner, V., Varona, L. & Legarra, A. (2021). Genetic evaluation including intermediate omics features. Genetics, 219(2), Artikel iyab130. https://doi.org/10.1093/genetics/iyab130

Kramer, L. M., Wolc, A., Esfandyari, H., Thekkoot, D. M., Zhang, C., Kemp, R. A., Plastow, G. & Dekkers, J. C. M. (2021). Purebred-crossbred genetic parameters for reproductive traits in swine. Journal of Animal Science, 99(10), Artikel skab270. https://doi.org/10.1093/jas/skab270

Rohde, P. D., Nyegaard, M., Kjolby, M. & Sørensen, P. (2021). Multi-Trait Genomic Risk Stratification for Type 2 Diabetes. Frontiers in Medicine, 8, Artikel 711208. https://doi.org/10.3389/fmed.2021.711208

Rome, H. J. S., Chu, T. T., Marois, D., Huang, C.-H., Madsen, P. & Jensen, J. (2021). Accounting for genetic architecture for body weight improves accuracy of predicting breeding values in a commercial line of broilers. Journal of Animal Breeding and Genetics, 138(5), 528-540. Artikel 528-540. https://doi.org/10.1111/jbg.12546

Eydivandi, S., Roudbar, M. A., Ardestani, S. S., Momen, M. & Sahana, G. (2021). A selection signatures study among Middle Eastern and European sheep breeds. Journal of Animal Breeding and Genetics, 138(5), 574-588. https://doi.org/10.1111/jbg.12536, https://doi.org/10.1111/jbg.12536

Handegård, K. W., Madsen, P., Storengen, L. M. & Lingaas, F. (2021). Genetic parameters for noise reactivity in standard poodles. Journal of Veterinary Behavior, 45, 33-36. https://doi.org/10.1016/j.jveb.2021.06.005

Gebreyesus, G., Lund, M. S., Kupisiewicz, K. & Su, G. (2021). Genetic parameters of semen quality traits and genetic correlations with service sire nonreturn rate in Nordic Holstein bulls. Journal of Dairy Science, 104(9), 10010-10019. https://doi.org/10.3168/jds.2021-20403

Hjortø, L., Henryon, M., Liu, H., Berg, P., Thomasen, J. R. & Sørensen, A. C. (2021). Pre-selection against a lethal recessive allele in breeding schemes with optimum-contribution selection or truncation selection. Genetics Selection Evolution, 53, Artikel 75. https://doi.org/10.1186/s12711-021-00669-4

Esfandyari, H. & Jensen, J. (2021). Simultaneous Bayesian estimation of genetic parameters for curves of weight, feed intake, and residual feed intake in beef cattle. Journal of Animal Science, 99(9), Artikel skab231. https://doi.org/10.1093/jas/skab231

De, T., Goncalves, A., Speed, D., Froguel, P., NFBC consortium, Gaffney, D. J., Johnson, M. R., Jarvelin, M.-R. & Coin, L. J. (2021). Signatures of TSPAN8 variants associated with human metabolic regulation and diseases. iScience, 24(8), Artikel 102893. https://doi.org/10.1016/j.isci.2021.102893

Manzanilla Pech, C. I. V., Løvendahl, P., Mansan Gordo, D. G., Difford, G., Pryce, J., Schenkel, F. S., Wegmann, S., Miglior, F., Chud, T. C. S., Moate, P. J., Williams, S. R. O., Richardson, C. M., Stothard, P. & Lassen, J. (2021). Breeding for reduced methane emission and feed-efficient Holstein cows: An international response. Journal of Dairy Science, 104(8), 8983-9001. https://doi.org/10.3168/jds.2020-19889

Johansen, K., Hein, L., Spleth, P., Vestergaard, M., Nielsen, H. M. & Kargo, M. (2021). Comparing growth and feed intake in pure- and crossbred heifers fed different energy concentrations. I E. Strandberg, L. Pinotti, S. Messori, D. Kenny, M. Lee, J. F. Hocquette, V. A. P. Cadavez, S. Millet, R. Evans, T. Veldkamp, M. Pastell & G. Pollott (red.), Book of Abstracts of the 72nd Annual Meeting of the European Federation of Animal Science (s. 521). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-918-3

Gautason, E., Sahana, G., Su, G., Benjamínsson, B. H., Jóhannesson, G. & Guldbrandtsen, B. (2021). Erratum to: Short communication: investigation of the feasibility of genomic selection in Icelandic Cattle. Journal of Animal Science, 99(8), Artikel skab234. https://doi.org/10.1093/jas/skab234

Zaalberg, R. M., Poulsen, N. A., Bovenhuis, H., Sehested, J., Larsen, L. B. & Buitenhuis, A. J. (2021). Genetic analysis on infrared-predicted milk minerals for Danish dairy cattle. Journal of Dairy Science, 104(8), 8947-8958. https://doi.org/10.3168/jds.2020-19638

Zaalberg, R. M., Chu, T. T., Villumsen, T. M. & Jensen, J. (2021). Genetic parameters for birth weight and litter size in Danish organic pigs. I Book of Abstracts of the 72nd Annual Meeting of the European Federation of Animal Science (Bind 27). Wageningen Academic Publicers. https://doi.org/10.3920/978-90-8686-918-3

Villumsen, T. M., Chu, T. T., Zaalberg, R. M. & Jensen, J. (2021). Genetic parameters for growth rate in Danish organic pigs. I Book of Abstracts of the 72nd Annual Meeting of the European Federation of Animal Science (Bind 27). Wageningen Academic Publicers. https://doi.org/10.3920/978-90-8686-918-3

Chu, T. T., Zaalberg, R. M., Villumsen, T. M. & Jensen, J. (2021). Genetic parameters of piglet mortality in Danish organic pigs. I Book of Abstracts of the 72nd Annual Meeting of the European Federation of Animal Science (Bind 27). Wageningen Academic Publicers. https://doi.org/10.3920/978-90-8686-918-3

Gebreyesus, G., Lund, M. S., Sahana, G. & Su, G. (2021). Reliabilities of Genomic Prediction for Young Stock Survival Traits Using 54K SNP Chip Augmented With Additional Single-Nucleotide Polymorphisms Selected From Imputed Whole-Genome Sequencing Data. Frontiers in Genetics, 12, Artikel 667300. https://doi.org/10.3389/fgene.2021.667300

Mei, Q., Fu, C., Sahana, G., Chen, Y., Yin, L., Miao, Y., Zhao, S. & Xiang, T. (2021). Identification of new semen trait-related candidate genes in Duroc boars through genome-wide association and weighted gene co-expression network analyses. Journal of Animal Science, 99(7), Artikel skab188. https://doi.org/10.1093/jas/skab188

Cao, L., Mulder, H. A., Liu, H., Nielsen, H. M. & S⊘rensen, A. C. (2021). Competitive gene flow does not necessarily maximize the genetic gain of genomic breeding programs in the presence of genotype-by-environment interaction. Journal of Dairy Science, 104(7), 8122-8134. https://doi.org/10.3168/jds.2020-19823

Clasen, J. B., Kargo, M., Østergaard, S., Fikse, W. F., Rydhmer, L. & Strandberg, E. (2021). Genetic consequences of terminal crossbreeding, genomic test, sexed semen, and beef semen in dairy herds. Journal of Dairy Science, 104(7), 8062-8075. https://doi.org/10.3168/jds.2020-20028

Cuyabano, B. C. D., Rovere, G., Lim, D., Kim, T. H., Lee, H. K., Lee, S. H. & Gondro, C. (2021). GPS coordinates for modelling correlated herd effects in genomic prediction models applied to Hanwoo beef cattle. Animals, 11(7), Artikel 2050. https://doi.org/10.3390/ani11072050

Jørgensen, U., Kristensen, T., Jørgensen, J. R., Kongsted, A. G., De Notaris, C., Nielsen, C., Mortensen, E. Ø., Ambye-Jensen, M., Jensen, S. K., Stødkilde-Jørgensen, L., Dalsgaard, T. K., Møller, A. H., Grøn Sørensen, C., Asp, T., Lehmann Olsen, F. & Gylling, M. (2021). Green biorefining of grassland biomass. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Nr. 193 https://dcapub.au.dk/djfpublikation/index.asp?action=show&id=1480

Milkevych, V., Karaman, E., Sahana, G., Janss, L., Cai, Z. & Lund, M. S. (2021). MeSCoT: The tool for quantitative trait simulation through the mechanistic modeling of genes' regulatory interactions. G3 (Bethesda, Md.), 11(7), Artikel jkab133. https://doi.org/10.1093/g3journal/jkab133

Gautason, E., Sahana, G., Su, G., Benjamínsson, B. H., Jóhannesson, G. & Guldbrandtsen, B. (2021). Short Communication: Investigation of the feasibility of genomic selection in Icelandic Cattle. Journal of Animal Science, 99(7), Artikel skab139. https://doi.org/10.1093/jas/skab139

Olijhoek, D., Hellwing, A. L. F., Lund, P., Weisbjerg, M. R., Løvendahl, P. & Børsting, C. F. (2021). Enteric methane emission of Holstein and Jersey dairy cows at high dietary concentrate proportions. Poster-session præsenteret på Meeting in iClimate.

Fois, M. (2021). Genetic dissection of crown rust (Puccinia coronata f.sp. lolii) resistance in perennial ryegrass (Lolium perenne L.). Århus Universitet.

Gautason, E., Schönherz, A. A., Sahana, G. & Guldbrandtsen, B. (2021). Genomic inbreeding and selection signatures in the local dairy breed Icelandic Cattle. Animal Genetics, 52(3), 251-262. https://doi.org/10.1111/age.13058, https://doi.org/10.1111/age.13058

Fois, M., Malinowska, M., Schubiger, F. X. & Asp, T. (2021). Genomic Prediction and Genotype-by-Environment Interaction Analysis of Crown and Stem Rust in Ryegrasses in European Multi-Site Trials. Agronomy, 11(6), Artikel 1119. https://doi.org/10.3390/agronomy11061119

Kargo, M. & Nielsen, V. H., (2021). Vurdering af racespecifikke krav til Jysk Kvæg, Nr. 2021-0203800, 11 s., jun. 23, 2021. Rådgivningsnotat fra DCA – National Center for Fødevarer og Jordbrug

Laursen, S. F., Hansen, L. S., Bahrndorff, S., Nielsen, H. M., Noer, N. K., Renault, D., Sahana, G., Sørensen, J. G. & Kristensen, T. N. (2021). Data on: contrasting manual and automated assessment of larval body size and thermal stress responses in black soldier flies and houseflies. Datasæt, Dryad Digital Repository. https://doi.org/10.5061/dryad.cjsxksn5p

Laursen, S. F., Hansen, L. S., Bahrndorff, S., Nielsen, H. M., Noer, N. K., Renault, D., Sahana, G., Sørensen, J. G. & Kristensen, T. N. (2021). Contrasting Manual and Automated Assessment of Thermal Stress Responses and Larval Body Size in Black Soldier Flies and Houseflies. Insects, 12(5), Artikel 380. https://doi.org/10.3390/insects12050380

Karaman, E., Su, G., Croue, I. & Lund, M. S. (2021). Genomic prediction using a reference population of multiple pure breeds and admixed individuals. Genetics Selection Evolution, 53(1), Artikel 46. https://doi.org/10.1186/s12711-021-00637-y

Gebreyesus, G., Poulsen, N. A., Larsen, M. K., Larsen, L. B., Sørensen, E. S., Würtz Heegaard, C. & Buitenhuis, A. J. (2021). Vitamin B12 and transcobalamin in bovine milk: Genetic variation and genome-wide association with loci along the genome. JDS Communications , 2(3), 127-131. https://doi.org/10.3168/jdsc.2020-0048

Jensen, J. (2021). Word of thanks to Professor Miguel-Pérez Enciso. Journal of Animal Breeding and Genetics, 138(3), 277-277. https://doi.org/10.1111/jbg.12548

Zhu, Z., Difford, G., Noel, S. J., Lassen, J., Løvendahl, P. & Hojberg, O. (2021). Stability Assessment of the Rumen Bacterial and Archaeal Communities in Dairy Cows Within a Single Lactation and Its Association With Host Phenotype. Frontiers in Microbiology, 12, Artikel 636223. https://doi.org/10.3389/fmicb.2021.636223

Fu, Y., Thomas, A., Gasior, D., Harper, J., Gay, A., Jones, C., Hegarty, M., Asp, T., Fradera-Sola, A., Armstead, I. & Fernandez-Fuentes, N. (2021). A comparison of shared patterns of differential gene expression and gene ontologies in response to water-stress in roots and leaves of four diverse genotypes of Lolium and Festuca spp. temperate pasture grasses. PLOS ONE, 16(4), Artikel e0249636. https://doi.org/10.1371/journal.pone.0249636

Gao, H., Su, G., Jensen, J., Madsen, P., Christensen, O. F., Ask, B., Poulsen, B. G., Ostersen, T. & Nielsen, B. (2021). Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs. Genetics Selection Evolution, 53(1), Artikel 33. https://doi.org/10.1186/s12711-021-00624-3

Luo, H., Brito, L. F., Li, X., Su, G., Dou, J., Xu, W., Yan, X., Zhang, H., Guo, G., Liu, L. & Wang, Y. (2021). Genetic parameters for rectal temperature, respiration rate, and drooling score in Holstein cattle and their relationships with various fertility, production, body conformation, and health traits. Journal of Dairy Science, 104(4), 4390-4403. https://doi.org/10.3168/jds.2020-19192

Luo, H., Li, X., Hu, L., Xu, W., Chu, Q., Liu, A., Guo, G., Liu, L., Brito, L. F. & Wang, Y. (2021). Genomic analyses and biological validation of candidate genes for rectal temperature as an indicator of heat stress in Holstein cattle. Journal of Dairy Science, 104(4), 4441-4451. https://doi.org/10.3168/jds.2020-18725

Shi, S., Li, X., Fang, L., Liu, A., Su, G., Zhang, Y., Luobu, B., Ding, X. & Zhang, S. (2021). Genomic Prediction Using Bayesian Regression Models With Global-Local Prior. Frontiers in Genetics, 12, Artikel 628205. https://doi.org/10.3389/fgene.2021.628205

Ramstein, G. (2021). High-resolution genome-wide association study pinpoints metal transporter and chelator genes involved in the genetic control of element levels in maize grain. G3: Genes, Genomes, Genetics, 11(4).

Olesen, J. E., Ingvartsen, K. L., Williams, M. H., Hertel, O., Jacobsen, C. S., Lund, M. S., Bach, H. & Halberg, N. (2021). Besparelser rammer grøn forskning på Aarhus Universitet: Er politikerne overhovedet klar over konsekvenserne? Altinget. https://www.altinget.dk/forskning/artikel/forskere-nedskaeringer-i-forskningskapacitet-koster-paa-den-groenne-omstilling

Schmidtmann, C., Thaller, G., Kargo, M., Hinrichs, D. & Ettema, J. (2021). Derivation of economic values for German dairy breeds by means of a bio-economic model—with special emphasis on functional traits. Journal of Dairy Science, 104(3), 3144-3157. https://doi.org/10.3168/jds.2019-17635

Mohammadabadi, M., Bordbar, F., Jensen, J., Du, M. & Guo, W. (2021). Key genes regulating skeletal muscle development and growth in farm animals. Animals, 11(3), Artikel 835. https://doi.org/10.3390/ani11030835

Li, Y., Pu, L., Shi, L., Gao, H., Zhang, P., Wang, L. & Zhao, F. (2021). Revealing New Candidate Genes for Teat Number Relevant Traits in Duroc Pigs Using Genome-Wide Association Studies. Animals, 11(3), Artikel 806. https://doi.org/10.3390/ani11030806

Zhang, H., Liu, A., Wang, Y., Luo, H., Yan, X., Guo, X., Li, X., Liu, L. & Su, G. (2021). Genetic Parameters and Genome-Wide Association Studies of Eight Longevity Traits Representing Either Full or Partial Lifespan in Chinese Holsteins. Frontiers in Genetics, 12, Artikel 634986. https://doi.org/10.3389/fgene.2021.634986/full

Ruud, A. K., Malinowska, M. & Asp, T. (2021, feb. 4). Hestebønners rodudvikling er undersøgt i rodrør. SEGES. https://www.landbrugsinfo.dk/public/b/2/e/afgroder_hestebonners_rodudvikling_er_undersogt_i_rodror

Martin, P., Ducrocq, V., Gordo, D. G. M. & Friggens, N. C. (2021). A new method to estimate residual feed intake in dairy cattle using time series data. Animal, 15(2), Artikel 100101. https://doi.org/10.1016/j.animal.2020.100101

Johannsen, I., Kilsgaard, B., Milkevych, V. & Moore, D. (2021). Design, modelling, and experimental validation of a scalable continuous-flow hydrothermal liquefaction pilot plant. Processes, 9(2), 1-18. Artikel 234. https://doi.org/10.3390/pr9020234

Christensen, B., Zachariae, E. D., Poulsen, N. A., Buitenhuis, A. J., Larsen, L. B. & Sørensen, E. S. (2021). Factors influencing milk osteopontin concentration based on measurements from Danish Holstein cows. Journal of Dairy Research, 88(1), 89 - 94. https://doi.org/10.1017/S0022029921000054

Eydivandi, S., Roudbar, M. A., Karimi, M. O. & Sahana, G. (2021). Genomic scans for selective sweeps through haplotype homozygosity and allelic fixation in 14 indigenous sheep breeds from Middle East and South Asia. Scientific Reports, 11, Artikel 2834. https://doi.org/10.1038/s41598-021-82625-2

Cao, L. (2021). Optimizing dairy cattle breeding programs in the presence of genotype-by-environment interaction. Århus Universitet.

Ask, B., Pedersen, L. V., Christensen, O. F., Nielsen, H. M., Turner, S. P. & Nielsen, B. (2021). Selection for social genetic effects in purebreds increases growth in crossbreds. Genetics, selection, evolution : GSE, 53(1), Artikel 15. https://doi.org/10.1186/s12711-021-00609-2

Christensen, O. F., Höglund, J. & Chu, T. T. (2021). Lavere halebidsfrekvens gennem kvantitativ avl.

Slagboom, M., Bengtsson, C., Thomasen, J. R. & Kargo, M. (2021). Consequences of genetic changes considering G by E and different production environments: GenTore WP5.4 Decision Support Tools. Billeder, Video- og Lydoptagelser (digital) https://www.youtube.com/watch?v=FOsG2Cw4YP8&feature=youtu.be

Villumsen, T. M., Su, G., Guldbrandtsen, B., Asp, T. & Lund, M. S. (2021). Genomic selection in American mink (Neovison vison) using a single-step genomic best linear unbiased prediction model for size and quality traits graded on live mink. Journal of Animal Science, 99(1), Artikel skab003. https://doi.org/10.1093/jas/skab003

Kargo, M., Clasen, J. B., Nielsen, H. M., Byskov, K. & Norberg, E. (2021). Heterosis and breed effects for milk production and udder health traits in crosses between Danish Holstein, Danish Red, and Danish Jersey. Journal of Dairy Science, 104(1), 678-682. https://doi.org/10.3168/jds.2019-17866

Ma, X., Christensen, O. F., Gao, H., Huang, R., Nielsen, B., Madsen, P., Jensen, J., Ostersen, T., Li, P., Shirali, M. & Su, G. (2021). Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait. Heredity, 126(1), 206-217. https://doi.org/10.1038/s41437-020-0339-3

Macedo, F. L., Christensen, O. F. & Legarra, A. (2021). Selection and drift reduce genetic variation for milk yield in Manech Tête Rousse dairy sheep. JDS Communications , 31-34. https://doi.org/10.3168/jdsc.2020-0010

Milkevych, V., Madsen, P., Gao, H. & Jensen, J. (2021). The relative effect of genomic information on efficiency of Bayesian analysis of the mixed linear model with unknown variance. Journal of Animal Breeding and Genetics (Online), 138(1), 14-22. https://doi.org/10.1111/jbg.12497, https://doi.org/10.1111/jbg.12497

Afiani, F. A., Joezy-Shekalgorabi, S., Amin-Afshar, M., Sadeghi, A.-A. & Jensen, J. (2021). Additive genetic and permanent environmental correlation between different parts of lactation in moderate and cold regions. Czech Journal of Animal Science, 66(4), 112-121. https://doi.org/10.17221/254/2020-CJAS

Schmidtmann, C., Schönherz, A., Guldbrandtsen, B., Marjanovic, J., Calus, M., Hinrichs, D. & Thaller, G. (2021). Assessing the genetic background and genomic relatedness of red cattle populations originating from Northern Europe. Genetics Selection Evolution, 53(1), Artikel 23. https://doi.org/10.1186/s12711-021-00613-6

Clasen, J. B., Kargo, M., Fikse, W. F., Strandberg, E., Wallenbeck, A., Østergaard, S. & Rydhmer, L. (2021). Conservation of a native dairy cattle breed through terminal crossbreeding with commercial dairy breeds. Acta Agriculturae Scandinavica, Section A - Animal Science, 70(1). https://doi.org/10.1080/09064702.2020.1867632

Houlahan, K., Schenkel, F. S., Hailemariam, D., Lassen, J., Kargo, M., Cole, J. B., Connor, E. E., Wegmann, S., Oliveira, G. A., Miglior, F., Fleming, A., Chud, T. C. S. & Baes, C. F. (2021). Effects of incorporating dry matter intake and residual feed intake into a selection index for dairy cattle using deterministic modeling. Animals, 11(4), Artikel 1157. https://doi.org/10.3390/ani11041157

Stephansen, R. B., Lidauer, M., Nielsen, U. S., Pösö, J., Fikse, F., Manzanilla Pech, C. I. V. & Aamand, G. P. (2021). Genomic prediction of residual feed intake in the Nordic breeds using data from research herds and 3D cameras in commercial herds. I Interbull Bulletin: Proceedings of the 2021 Interbull Meeting (Bind 56 (2021), s. 162-166) https://journal.interbull.org/index.php/ib/article/view/66

Eiríksson, J. H., Byskov, K., Thomassen, J. R., Su, G. & Christensen, O. F. (2021). Genomic predictions of crossbred dairy cows based on breed of origin of alleles. 520-520. Abstract fra 72nd Annual Meeting of the European Federation of Animal Science, Davos, Schweiz.

Shi, R., Brito, L. F., Liu, A., Luo, H., Chen, Z., Liu, L., Guo, G., Mulder, H., Ducro, B., van der Linden, A. & Wang, Y. (2021). Genotype-by-environment interaction in Holstein heifer fertility traits using single-step genomic reaction norm models. BMC Genomics, 22(1), Artikel 193. https://doi.org/10.1186/s12864-021-07496-3

Tessema, B. B., Liu, H., Sørensen, A. C., Andersen, J. R. & Jensen, J. (2020). Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for Wheat. Frontiers in Genetics, 11, Artikel 578123. https://doi.org/10.3389/fgene.2020.578123

Harwood, S. L., Nielsen, N. S., Jensen, K. T., Nielsen, P. K., Thøgersen, I. B. & Enghild, J. J. (2020). α₂-macroglobulin-like protein 1 can conjugate and inhibit proteases through their hydroxyl groups, because of an enhanced reactivity of its thiol ester. Journal of Biological Chemistry, 295(49), 16732-16742. https://doi.org/10.1074/jbc.RA120.015694

Ba, H., Cai, Z., Gao, H., Qin, T., Liu, W., Xie, L., Zhang, Y., Jing, B., Wang, D. & Li, C. (2020). Chromosome-level genome assembly of Tarim red deer, Cervus elaphus yarkandensis. Scientific Data, 7(1), Artikel 187. https://doi.org/10.1038/s41597-020-0537-0

Mao, X., Sahana, G., Johansson, A. M., Liu, A., Ismael, A., Løvendahl, P., De Koning, D.-J. & Guldbrandtsen, B. (2020). Genome-wide association mapping for dominance effects in female fertility using real and simulated data from Danish Holstein cattle. Scientific Reports, 10(1), Artikel 2953. https://doi.org/10.1038/s41598-020-59788-5

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