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), Article 806. https://doi.org/10.3390/ani11030806

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), Article 380. https://doi.org/10.3390/insects12050380

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), Article skab270. https://doi.org/10.1093/jas/skab270

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(1), Article 46. https://doi.org/10.1186/s12711-021-00637-y

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. Article 234. https://doi.org/10.3390/pr9020234

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), Article 13030. https://doi.org/10.1111/adb.13030

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), Article 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, Article 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

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), Article e1009568.

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

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), Article e0249636. https://doi.org/10.1371/journal.pone.0249636

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

French, A. S., Geissmann, Q., Beckwith, E. J. & Gilestro, G. F. (2021). Sensory processing during sleep in Drosophila melanogaster. Nature, 598(7881), 479-482. https://doi.org/10.1038/s41586-021-03954-w

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), Article 1119. https://doi.org/10.3390/agronomy11061119

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

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, Article 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), Article skab231. 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(1), Article 84. https://doi.org/10.1186/s12711-021-00678-3

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), Article 102893. https://doi.org/10.1016/j.isci.2021.102893

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), Article 2050. https://doi.org/10.3390/ani11072050

Custódio, T. F., Paulsen, P. A., Frain, K. M. & Pedersen, B. P. (2021). Structural comparison of GLUT1 to GLUT3 reveal transport regulation mechanism in sugar porter family. Life Science Alliance, 4(4), Article e202000858. https://doi.org/10.26508/LSA.202000858

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

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), Article 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), Article 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), Article 11. https://doi.org/10.1186/s40575-021-00110-5

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), Article 26. https://doi.org/10.1186/s40345-021-00231-7

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

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), Article 338. https://doi.org/10.1186/s12864-021-07672-5

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

Karaman, E., Lund, M. S. & Su, G. (2020). Correction: Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome . Heredity, 124(4), 618. https://doi.org/10.1038/s41437-020-0299-7

Christensen, O. F., Nielsen, B., Su, G., Xiang, T., Madsen, P., Ostersen, T., Velander, I. & Strathe, A. B. (2020). Correction to: A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs. Genetics, selection, evolution : GSE, 52(1), Article 23. https://doi.org/10.1186/s12711-020-00541-x

Jensen, J. (2020). Carrying the torch of the Journal of Animal Breeding and Genetics forward. Journal of Animal Breeding and Genetics, 137(1), 1-2. https://doi.org/10.1111/jbg.12462

Calabrese, V., Scuto, M., Salinaro, A. T., Dionisio, G., Modafferi, S., Ontario, M. L., Greco, V., Sciuto, S., Schmitt, C. P., Calabrese, E. J. & Peters, V. (2020). Hydrogen sulfide and carnosine: Modulation of oxidative stress and inflammation in kidney and brain axis. Antioxidants, 9(12), 1-35. Article 1303. https://doi.org/10.3390/antiox9121303

Zhang, Y., Ran, Y., Nagy, I., Lenk, I., Qiu, J. L., Asp, T., Jensen, C. S. & Gao, C. (2020). Targeted mutagenesis in ryegrass (Lolium spp.) using the CRISPR/Cas9 system. Plant Biotechnology Journal, 18(9), 1854-1856. https://doi.org/10.1111/pbi.13359

Zhang, Q., Difford, G., Sahana, G., Løvendahl, P., Lassen, J., Lund, M. S., Guldbrandtsen, B. & Janss, L. (2020). Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows. The ISME Journal, 14(8), 2019-2033. https://doi.org/10.1038/s41396-020-0663-x

Zhang, Q., Cai, Z., Lhomme, M., Sahana, G., Lesnik, P., Guerin, M., Fredholm, M. & Karlskov-Mortensen, P. (2020). Inclusion of endophenotypes in a standard GWAS facilitate a detailed mechanistic understanding of genetic elements that control blood lipid levels. Scientific Reports, 10(1), Article 18434. https://doi.org/10.1038/s41598-020-75612-6

Zaalberg, R. M., Buitenhuis, A. J., Sundekilde, U. K., Poulsen, N. A. & Bovenhuis, H. (2020). Genetic analysis of orotic acid predicted with Fourier transform infrared milk spectra. Journal of Dairy Science, 103(4), 3334-3348. https://doi.org/10.3168/jds.2018-16057

Zaalberg, R. M., Janss, L. & Buitenhuis, A. J. (2020). Genome-wide association study on Fourier transform infrared milk spectra for two Danish dairy cattle breeds. BMC Genetics, 21(1), Article 9. https://doi.org/10.1186/s12863-020-0810-4

Wu, X., Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2020). Novel haplotypes responsible for prenatal death in Nordic Red and Danish Jersey cattle. Journal of Dairy Science, 103(5), 4570-4578. https://doi.org/10.3168/jds.2019-17831

Wang, X., Su, G., Hao, D., Lund, M. S. & Kadarmideen, H. N. (2020). Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations. Journal of Animal Science and Biotechnology, 11(1), Article 3. https://doi.org/10.1186/s40104-019-0407-9

Wang, L., Janss, L. L., Madsen, P., Henshall, J., Huang, C.-H., Marois, D., Alemu, S., Sørensen, A. C. & Jensen, J. (2020). Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices. Genetics, selection, evolution : GSE, 52(1), Article 31. https://doi.org/10.1186/s12711-020-00550-w

Tsai, H.-Y., Janss, L. L., Andersen, J. R., Orabi, J., Jensen, J. D., Jahoor, A. & Jensen, J. (2020). Genomic prediction and GWAS of yield, quality and disease-related traits in spring barley and winter wheat. Scientific Reports, 10(1), Article 3347. https://doi.org/10.1038/s41598-020-60203-2

Tsai, H.-Y., Cericola, F., Edriss, V., Andersen, J. R., Orabi, J., Jensen, J. D., Jahoor, A., Janss, L. & Jensen, J. (2020). Use of multiple traits genomic prediction, genotype by environment interactions and spatial effect to improve prediction accuracy in yield data. PLOS ONE, 15(5), Article e0232665. https://doi.org/10.1371/journal.pone.0232665

Thomasen, J. R., Liu, H. & Sørensen, A. C. (2020). Genotyping more cows increases genetic gain and reduces rate of true inbreeding in a dairy cattle breeding scheme using female reproductive technologies. Journal of Dairy Science, 103(1), 597-606. https://doi.org/10.3168/jds.2019-16974

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, Article 578123. https://doi.org/10.3389/fgene.2020.578123

Tausen, M., Clausen, M. M., Moeskjær, S., Shihavuddin, ASM., Dahl, A. B., Janss, L. & Andersen, S. U. (2020). Greenotyper: Image-based plant phenotyping using distributed computing and deep learning. Frontiers in Plant Science, 11, Article 1181. https://doi.org/10.3389/fpls.2020.01181

Su, G., Sørensen, A. C., Chu, T. T., Meier, K., Nielsen, T. & Lund, M. S. (2020). Impact of phenotypic information and composition of reference population on genomic prediction in fish under the presence of genotype by environment interaction. Aquaculture, 526, Article 735358. https://doi.org/10.1016/j.aquaculture.2020.735358

Slagboom, M., Hjortø, L., Sørensen, A. C., Mulder, H. A., Thomasen, J. R. & Kargo, M. (2020). Possibilities for a specific breeding program for organic dairy production. Journal of Dairy Science, 103(7), 6332-6345. https://doi.org/10.3168/jds.2019-16900

Skovbjerg, C. K., Knudsen, J. N., Füchtbauer, W., Stougaard, J., Stoddard, F. L., Janss, L. & Andersen, S. U. (2020). Evaluation of yield, yield stability, and yield–protein relationship in 17 commercial faba bean cultivars. Legume Science, 2(3), Article e39. https://doi.org/10.1002/leg3.39

Schonherz, A. A., Bødker, J. S., Schmitz, A., Brøndum, R. F., Jakobsen, L. H., Roug, A. S., Severinsen, M. T., El-Galaly, T. C., Jensen, P., Johnsen, H. E., Bøgsted, M. & Dybkær, K. (2020). Normal myeloid progenitor cell subsetassociated gene signatures for acute myeloid leukaemia subtyping with prognostic impact. PLOS ONE, 15(4), Article e0229593. https://doi.org/10.1371/journal.pone.0229593

Schonherz, A. A., Szekeres, B. D., Nielsen, V. H. & Guldbrandtsen, B. (2020). Population structure and genetic characterization of two native Danish sheep breeds. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 53-67. https://doi.org/10.1080/09064702.2019.1639804

Rohde, P. D., Fourie Sørensen, I. & Sørensen, P. (2020). qgg: an R package for large-scale quantitative genetic analyses. Bioinformatics (Oxford, England), 36(8), 2614-2615. https://doi.org/10.1093/bioinformatics/btz955

Poulsen, B. G., Nielsen, B., Ostersen, T. & Christensen, O. F. (2020). Genetic associations between stayability and longevity in commercial crossbred sows, and stayability in multiplier sows. Journal of Animal Science, 98(6), Article skaa183. https://doi.org/10.1093/jas/skaa183

Poulsen, N. A., Szekeres, B. D., Kargo, M. & Larsen, L. B. (2020). Mineral and fatty acid composition of milk from native Jutland and Danish Red 1970 cattle breeds. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 131-135. https://doi.org/10.1080/09064702.2019.1674914

Poulsen, B. G., Ask, B., Nielsen, H. M., Ostersen, T. & Christensen, O. F. (2020). Prediction of genetic merit for growth rate in pigs using animal models with indirect genetic effects and genomic information. Genetics, selection, evolution : GSE, 52(1), Article 58. https://doi.org/10.1186/s12711-020-00578-y

Poulsen, N. A., Hein, L., Kargo, M. & Buitenhuis, A. J. (2020). Realization of breeding values for milk fatty acids in relation to seasonal variation in organic milk. Journal of Dairy Science, 103(3), 2434-2441. https://doi.org/10.3168/jds.2019-17065

Nielsen, H. M. & Kargo, M. (2020). An endangered horse breed can be conserved by using optimum contribution selection and preselection of stallions. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 127-130. https://doi.org/10.1080/09064702.2020.1728370

Morgante, F., Huang, W., Sørensen, P., Maltecca, C. & Mackay, T. F. C. (2020). Leveraging Multiple Layers of Data To Predict Drosophila Complex Traits. G3 (Bethesda, Md.), 10(12), 4599-4613. https://doi.org/10.1534/g3.120.401847

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), Article 2953. https://doi.org/10.1038/s41598-020-59788-5

Manzanilla-Pech, C. I. V., Gordo, D., Difford, G. F., Løvendahl, P. & Lassen, J. (2020). Multitrait genomic prediction of methane emissions in Danish Holstein cattle. Journal of Dairy Science, 103(10), 9195-9206. https://doi.org/10.3168/jds.2019-17857

Malinowska, M., Nagy, I., Wagemaker, C. A. M., Ruud, A. K., Svane, S. F., Thorup-Kristensen, K., Jensen, C. S., Eriksen, B., Krusell, L., Jahoor, A., Jensen, J., Eriksen, L. B. & Asp, T. (2020). The cytosine methylation landscape of spring barley revealed by a new reduced representation bisulfite sequencing pipeline, WellMeth. The Plant Genome, 13(3), e20049. Article e20049. https://doi.org/10.1002/tpg2.20049

Madsen, M. D., Villumsen, T. M., Hansen, B. K., Møller, S. H., Jensen, J. & Shirali, M. (2020). Combined analysis of group recorded feed intake and individually recorded body weight and litter size in mink. Animal : an international journal of animal bioscience, 14(9), 1793-1801. https://doi.org/10.1017/S1751731120000762

Macedo, F. L., Christensen, O. F., Astruc, J.-M., Aguilar, I., Masuda, Y. & Legarra, A. (2020). Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups. Genetics, selection, evolution : GSE, 52(1), Article 47. https://doi.org/10.1186/s12711-020-00567-1

Liu, T., Luo, C., Ma, J., Wang, Y., Shu, D., Su, G. & Qu, H. (2020). High-Throughput Sequencing With the Preselection of Markers Is a Good Alternative to SNP Chips for Genomic Prediction in Broilers. Frontiers in Genetics, 11, Article 108. https://doi.org/10.3389/fgene.2020.00108

Liu, A., Lund, M. S., Boichard, D., Mao, X., Karaman, E., Fritz, S., Aamand, G. P., Wang, Y. & Su, G. (2020). Imputation for sequencing variants preselected to a customized low-density chip. Scientific Reports, 10, Article 9524. https://doi.org/10.1038/s41598-020-66523-7

Liu, A., Lund, M. S., Boichard, D., Karaman, E., Guldbrandtsen, B., Fritz, S., Aamand, G. P., Nielsen, U. S., Sahana, G., Wang, Y. & Su, G. (2020). Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses. Genetics Selection Evolution, 52(1), Article 48. https://doi.org/10.1186/s12711-020-00568-0

Li, J., Gao, H., Madsen, P., Li, R., Liu, W., Bao, P., Xue, G., Gao, Y., Di, X. & Su, G. (2020). Impact of the Order of Legendre Polynomials in Random Regression Model on Genetic Evaluation for Milk Yield in Dairy Cattle Population. Frontiers in Genetics, 11, Article 586155. https://doi.org/10.3389/fgene.2020.586155

Larsen, F., Guldbrandtsen, B., Christensen, D., Pitcovski, J., Kjærup, R. B. & Dalgaard, T. S. (2020). Pustulan activates chicken bone marrow-derived dendritic cells in vitro and promotes ex vivo CD4⁺ T cell recall response to infectious bronchitis virus. Vaccines, 8(2), Article 226. https://doi.org/10.3390/vaccines8020226

Karaman, E., Su, G., Croue, I. & Lund, M. S. (2020). Genomic prediction using purebred and crossbred individuals. GenTORE Newsletter, (4), 13-16. https://www.gentore.eu/uploads/1/0/7/4/107437499/gentore_newsletter.pdf

Karaman, E., Lund, M. S. & Su, G. (2020). Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome. Heredity, 124(2), 274-287. https://doi.org/10.1038/s41437-019-0273-4

Kamal, N., Mun, T., Reid, D., Lin, J.-S., Akyol, T. Y., Sandal, N., Asp, T., Hirakawa, H., Stougaard, J., Mayer, K. F. X., Sato, S. & Andersen, S. U. (2020). Insights into the evolution of symbiosis gene copy number and distribution from a chromosome-scale Lotus japonicus Gifu genome sequence. D N A Research, 27(3), Article dsaa015. https://doi.org/10.1093/dnares/dsaa015

Islam, M. S., Jensen, J., Løvendahl, P., Karlskov-Mortensen, P. & Shirali, M. (2020). Bayesian estimation of genetic variance and response to selection on linear or ratio traits of feed efficiency in dairy cattle. Journal of Dairy Science, 103(10), 9150-9166. https://doi.org/10.3168/jds.2019-17137

Huang, A., Zhi, D., Tang, H., Jiang, L., Luo, S. & Zhou, Y. (2020). Effect of Fe²⁺, Mn²⁺ catalysts on the performance of electro-Fenton degradation of antibiotic ciprofloxacin, and expanding the utilizing of acid mine drainage. Science of the Total Environment, 720, Article 137560. https://doi.org/10.1016/j.scitotenv.2020.137560