Jensen, J. (2022). Word of thanks to professor Ignacy Misztal. Journal of Animal Breeding and Genetics, 139(4), 369-369. https://doi.org/10.1111/jbg.12725

Zhang, Q., Zhang, Q. & Jensen, J. (2022). Association Studies and Genomic Prediction for Genetic Improvements in Agriculture. Frontiers in Plant Science, 13, [904230]. https://doi.org/10.3389/fpls.2022.904230

Zhang, H., Wang, K., An, T., Zhu, L., Chang, Y., Lou, W., Liu, L., Guo, G., Liu, A., Su, G., Brito, L. F. & Wang, Y. (2022). Genetic parameters for dairy calf and replacement heifer wellness traits and their association with cow longevity and health indicators in Holstein cattle. Journal of Dairy Science, 105(8), 6749-6759. https://doi.org/10.3168/jds.2021-21450

Zhang, Q., Schönherz, A. A., Lund, M. S. & Guldbrandtsen, B. (2022). Positive Selection and Adaptive Introgression of Haplotypes from Bos indicus Improve the Modern Bos taurus Cattle. Agriculture (Switzerland), 12(6), [844]. https://doi.org/10.3390/agriculture12060844

Zaalberg, R. M., Villumsen, T. M., Jensen, J. & Chu, T. T. (2022). Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets. Animals, 12(14), [1796]. https://doi.org/10.3390/ani12141796, https://doi.org/10.3390/ani12141796

Zaalberg, R. M., Nielsen, H. M., Sorensen, A. C., Chu, T. T., Jensen, J. & Villumsen, T. M. (2022). The Effect of Using Organic or Conventional Sires on Genetic Gain in Organic Pigs: A Simulation Study. Animals, 12(4), [455]. https://doi.org/10.3390/ani12040455

Slagboom, M., Milkevych, V., Liu, H., Thomasen, J. R., Kargo, M. & Schmidtmann, C. (2022). Conservation of local Red cattle breeds by collaboration with a mainstream Red dairy cattle breed. Livestock Science, 260, [104936]. https://doi.org/10.1016/j.livsci.2022.104936

Schmidtmann, C., Slagboom, M., Sørensen, A. C., Hinrichs, D., Thaller, G. & Kargo, M. (2022). Short- and long-term consequences of collaboration between Northern European Red dairy and dual-purpose cattle. Journal of Animal Breeding and Genetics, 139(4), 447-461. https://doi.org/10.1111/jbg.12672

Raffo, M. A., Sarup, P., Guo, X., Liu, H., Andersen, J. R., Orabi, J., Jahoor, A. & Jensen, J. (2022). Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis. Theoretical and Applied Genetics, 135(3), 965-978. https://doi.org/10.1007/s00122-021-04009-4

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, [25]. https://doi.org/10.1186/s12711-022-00714-w

Moeskjær, S., Skovbjerg, C. K., Tausen, M., Wind, R., Roulund, N., Janss, L. & Andersen, S. U. (2022). Major effect loci for plant size before onset of nitrogen fixation allow accurate prediction of yield in white clover. Theoretical and Applied Genetics, 135(1), 125-143. https://doi.org/10.1007/s00122-021-03955-3

Milkevych, V., Michelle Villumsen, T., Løvendahl, P. & Sahana, G. (2022). Data synchronization for gas emission measurements from dairy cattle: A matched filter approach. Computers and Electronics in Agriculture, 201, [107299]. https://doi.org/10.1016/j.compag.2022.107299

Mesbah-Uddin, M., Guldbrandtsen, B., Capitan, A., Lund, M. S., Boichard, D. & Sahana, G. (2022). Genome-wide association study with imputed whole-genome sequence variants including large deletions for female fertility in 3 Nordic dairy cattle breeds. Journal of Dairy Science, 105(2), 1298-1313. https://doi.org/10.3168/jds.2021-20655

Manzanilla Pech, C. I. V., Difford, G., Sahana, G., Rome, H. J. S., Løvendahl, P. & Lassen, J. (2022). Genome-wide association study for methane emission traits in Danish Holstein cattle. Journal of Dairy Science, 105(2), 1357-1368. https://doi.org/10.3168/jds.2021-20410

Manzanilla Pech, C. I. V., Stephansen, R. B., Difford, G., Løvendahl, P. & Lassen, J. (2022). Selecting for feed efficient cows will help to reduce methane gas emissions. Frontiers in Genetics, 13, [885932]. https://doi.org/10.3389/fgene.2022.885932

Løvendahl, P. & Buitenhuis, A. J. (2022). Genetic and phenotypic variation and consistency in cow preference and circadian use of robotic milking units. Journal of Dairy Science, 105(6), 5283-5295. https://doi.org/10.3168/jds.2021-21593

Lu, X., Arbab, A. A. I., Abdalla, I. M., Liu, D., Zhang, Z., Xu, T., Su, G. & Yang, Z. (2022). Genetic Parameter Estimation and Genome-Wide Association Study-Based Loci Identification of Milk-Related Traits in Chinese Holstein. Frontiers in Genetics, 12, [799664]. https://doi.org/10.3389/fgene.2021.799664

Liu, T., Luo, C., Ma, J., Wang, Y., Shu, D., Qu, H. & Su, G. (2022). Including dominance effects in the prediction model through locus-specific weights on heterozygous genotypes can greatly improve genomic predictive abilities. Heredity, 128(3), 154-158. https://doi.org/10.1038/s41437-022-00504-6

Hjortø, L., Andersen, T., Kargo, M. & Sørensen, A. C. (2022). Breeding schemes with optimum-contribution selection or truncation selection for beef cattle destined for use on dairy females. Journal of Dairy Science, 105(5), 4314-4323. https://doi.org/10.3168/jds.2021-21258

Guo, X., Jahoor, A., Jensen, J. & Sarup, P. (2022). Metabolomic spectra for phenotypic prediction of malting quality in spring barley. Scientific Reports, 12, [7881]. https://doi.org/10.1038/s41598-022-12028-4

Guillenea, A., Su, G., Lund, M. S. & Karaman, E. (2022). Genomic prediction in Nordic Red dairy cattle considering breed origin of alleles. Journal of Dairy Science, 105(3), 2426-2438. https://doi.org/10.3168/jds.2021-21173

Eiríksson, J. H., Byskov, K., Su, G., Thomasen, J. R. & Christensen, O. F. (2022). Genomic predictions for crossbred dairy cows by combining solutions from purebred evaluation based on breed origin of alleles. Journal of Dairy Science, 105(6), 5178-5191. https://doi.org/10.3168/jds.2021-21644

Consortium, V. G., Nijman, I. J., Rosen, B. D., Bardou, P., Faraut, T., Cumer, T., Daly, K. G., Zheng, Z., Cai, Y., Asadollahpour, H., Kul, B. Ç., Zhang, W-Y., Guangxin, E., Ayin, A., Baird, H., Bakhtin, M., Bâlteanu, V. A., Barfield, D., Berger, B. ... Lenstra, J. A. (2022). Geographical contrasts of Y-chromosomal haplogroups from wild and domestic goats reveal ancient migrations and recent introgressions. Molecular Ecology, 31(16), 4364-4380. https://doi.org/10.1111/mec.16579

Chu, T. T., Zaalberg, R. M., Bovbjerg, H., Jensen, J. & Villumsen, T. M. (2022). Genetic variation in piglet mortality in outdoor organic production systems. Animal : an international journal of animal bioscience, 16(5), [100529]. https://doi.org/10.1016/j.animal.2022.100529

Cai, Z., Christensen, O. F., Lund, M. S., Ostersen, T. & Sahana, G. (2022). Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans. BMC Genomics, 23, [133]. https://doi.org/10.1186/s12864-022-08373-3

Bouquet, A. E. R., Slagboom, M., Thomasen, J. R., Friggens, N., Kargo, M. & Puillet, L. (2022). Coupling genetic and mechanistic models to benchmark selection strategies for feed efficiency in dairy cows: sensitivity analysis validating this novel approach. Animal - Open Space, 1(1), [100017]. https://doi.org/10.1016/j.anopes.2022.100017

Bordbar, F., Mohammadabadi, M., Jensen, J., Xu, L., Li, J. & Zhang, L. (2022). Identification of Candidate Genes Regulating Carcass Depth and Hind Leg Circumference in Simmental Beef Cattle Using Illumina Bovine Beadchip and Next-Generation Sequencing Analyses. Animals, 12(9), [1103]. https://doi.org/10.3390/ani12091103

Bengtsson, C., Thomasen, J. R., Kargo, M., Bouquet, A. & Slagboom, M. (2022). Emphasis on resilience in dairy cattle breeding: Possibilities and consequences. Journal of Dairy Science, 105(9), 7588-7599. https://doi.org/10.3168/jds.2021-21049

Bengtsson, C., Stålhammar, H., Thomasen, J. R., Eriksson, S., Fikse, W. F. & Strandberg, E. (2022). Mating allocations in Nordic Red Dairy Cattle using genomic information. Journal of Dairy Science, 105(2), 1281-1297. https://doi.org/10.3168/jds.2021-20849

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.dk. https://www.altinget.dk/forskning/artikel/forskere-nedskaeringer-i-forskningskapacitet-koster-paa-den-groenne-omstilling

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

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), [skab234]. https://doi.org/10.1093/jas/skab234

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), [835]. https://doi.org/10.3390/ani11030835

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), [753]. https://doi.org/10.3390/metabo11110753

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

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, [636223]. https://doi.org/10.3389/fmicb.2021.636223

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

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, [634986]. https://doi.org/10.3389/fgene.2021.634986/full

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

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), [skab003]. https://doi.org/10.1093/jas/skab003

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, [104696]. https://doi.org/10.1016/j.livsci.2021.104696

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

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, [628205]. https://doi.org/10.3389/fgene.2021.628205

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), [23]. https://doi.org/10.1186/s12711-021-00613-6

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

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), [3492]. https://doi.org/10.3390/ani11123492

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]. https://doi.org/10.1111/jbg.12546

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

Rohde, P. D., Kristensen, T. N., Sarup, P., Muñoz, J. & Malmendal, A. (2021). Prediction of complex phenotypes using the Drosophila melanogaster metabolome. Heredity, 126(5), 717-732. https://doi.org/10.1038/s41437-021-00404-1

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), [5848]. https://doi.org/10.1038/s41467-021-26153-7

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), [jkab133]. https://doi.org/10.1093/g3journal/jkab133

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

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), [skab188]. https://doi.org/10.1093/jas/skab188

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

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

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

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

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), [380]. https://doi.org/10.3390/insects12050380

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

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, [46]. https://doi.org/10.1186/s12711-021-00637-y

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), [1157]. https://doi.org/10.3390/ani11041157

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, [75]. https://doi.org/10.1186/s12711-021-00669-4

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

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, [667300]. https://doi.org/10.3389/fgene.2021.667300

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

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

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), [skab139]. https://doi.org/10.1093/jas/skab139

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), [33]. https://doi.org/10.1186/s12711-021-00624-3

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. [79]. https://doi.org/10.1186/s12711-021-00670-x

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

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, [2834]. https://doi.org/10.1038/s41598-021-82625-2

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). https://doi.org/10.1093/jas/skab231

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, [84]. https://doi.org/10.1186/s12711-021-00678-3

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 A: Animal Sciences, 70(1). https://doi.org/10.1080/09064702.2020.1867632

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

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), [1]. https://doi.org/10.1186/s12711-020-00598-8

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

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

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

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

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

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), [15]. https://doi.org/10.1186/s12711-021-00609-2

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