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

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

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).

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), Article skab188. https://doi.org/10.1093/jas/skab188

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

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), Article 4192. https://doi.org/10.1038/s41467-021-24485-y

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), Article 835. https://doi.org/10.3390/ani11030835

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

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), Article jkab133. https://doi.org/10.1093/g3journal/jkab133

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

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), Article 753. https://doi.org/10.3390/metabo11110753

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

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

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

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

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

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), Article 3492. https://doi.org/10.3390/ani11123492

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

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

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

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

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

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

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

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

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

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, Article 636223. https://doi.org/10.3389/fmicb.2021.636223

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

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

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

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

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

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

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

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

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

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

Difford, G. F., Løvendahl, P., Veerkamp, R. F., Bovenhuis, H., Visker, M. H. P. W., Lassen, J. & de Haas, Y. (2020). Can greenhouse gases in breath be used to genetically improve feed efficiency of dairy cows? Journal of Dairy Science, 103(3), 2442-2459. https://doi.org/10.3168/jds.2019-16966

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

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), Article 187. https://doi.org/10.1038/s41597-020-0537-0

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

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

Cui, X., Zhang, S., Zhang, Q., Guo, X., Wu, C., Yao, M. & Sun, D. (2020). Comprehensive MicroRNA Expression Profile of the Mammary Gland in Lactating Dairy Cows With Extremely Different Milk Protein and Fat Percentages. Frontiers in Genetics, 11, Article 548268. https://doi.org/10.3389/fgene.2020.548268

Gebregiwergis, G. T., Sørensen, A. C., Henryon, M. & Meuwissen, T. (2020). Controlling Coancestry and Thereby Future Inbreeding by Optimum-Contribution Selection Using Alternative Genomic-Relationship Matrices. Frontiers in Genetics, 11, Article 345. https://doi.org/10.3389/fgene.2020.00345

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

Cagnano, G., Vázquez-De-Aldana, B. R., Asp, T., Roulund, N., Jensen, C. S. & Soto-Barajas, M. C. (2020). Determination of loline alkaloids and mycelial biomass in endophyte-infected schedonorus pratensis by near-infrared spectroscopy and chemometrics. Microorganisms, 8(5), Article 776. https://doi.org/10.3390/microorganisms8050776

Cai, Z., Dusza, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2020). Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle. Genetics, selection, evolution : GSE, 52(1), Article 19. https://doi.org/10.1186/s12711-020-00538-6

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

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

Esfandyari, H., Fè, D., Tessema, B. B., Janss, L. L. & Jensen, J. (2020). Effects of different strategies for exploiting genomic selection in perennial ryegrass breeding programs. G3: Genes, Genomes, Genetics, 10(10), 3783-3795. https://doi.org/10.1534/g3.120.401382

Davis, R. B., Norberg, E. & Fogh, A. (2020). Estimation of genetic parameters for young stock survival in beef x dairy crossbred calves. Animal, 14(3), 445-451. Article 1751731119002386. https://doi.org/10.1017/S1751731119002386

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

Dettmann, F., Warner, D., Buitenhuis, B., Kargo, M., Kjeldsen, A. M. H., Nielsen, N. H., Lefebvre, D. M. & Santschi, D. E. (2020). Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving. Animals, 10(11), 1-14. Article 1958. https://doi.org/10.3390/ani10111958

Forte, F. P., Schmid, J., Dijkwel, P. P., Nagy, I., Hume, D. E., Johnson, R. D., Simpson, W. R., Monk, S. M., Zhang, N., Sehrish, T. & Asp, T. (2020). Fungal Endophyte Colonization Patterns Alter Over Time in the Novel Association Between Lolium perenne and Epichloë Endophyte AR37. Frontiers in Plant Science, 11, Article 570026. https://doi.org/10.3389/fpls.2020.570026

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

Chu, T. T., Madsen, P., Norberg, E., Wang, L., Marois, D., Henshall, J. & Jensen, J. (2020). Genetic analysis on body weight at different ages in broiler chicken raised in commercial environment. Journal of Animal Breeding and Genetics (Online), 137(2), 245-259. https://doi.org/10.1111/jbg.12448

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

Eydivandi, S., Sahana, G., Momen, M., Moradi, M. H. & Schönherz, A. A. (2020). Genetic diversity in Iranian indigenous sheep vis-à-vis selected exogenous sheep breeds and wild mouflon. Animal Genetics, 51(5), 772-787. https://doi.org/10.1111/age.12985

Guo, X., Sarup, P. M., Jensen, J. D., Jihad, O., Kristensen, N. H., Mulder, F. A. A., Jahoor, A. & Jensen, J. (2020). Genetic Variance of Metabolomic Features and Their Relationship With Malting Quality Traits in Spring Barley. Frontiers in Plant Science, 11, Article 575467. https://doi.org/10.3389/fpls.2020.575467

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

Gan, Q. F., Li, Y. R., Liu, Q. H., Lund, M., Su, G. S. & Liang, X. W. (2020). Genome-wide association studies for the concentrations of insulin, triiodothyronine, and thyroxine in Chinese Holstein cattle. Tropical Animal Health and Production, 52(4), 1655-1660. https://doi.org/10.1007/s11250-019-02170-z

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

Guldbrandtsen, B., Nielsen, V. H. & Schönherz, A. A. (2020). Genomic assessment of suitability of pigs for inclusion in the Pied Danish Pig conservation program – A case study. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 95-100. https://doi.org/10.1080/09064702.2020.1732455

Cao, L., Liu, H., Mulder, H. A., Henryon, M., Thomasen, J. R., Kargo, M. & Sørensen, A. C. (2020). Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs. Frontiers in Genetics, 11, Article 251. https://doi.org/10.3389/fgene.2020.00251

Cai, Z., Sarup, P., Ostersen, T., Nielsen, B., Fredholm, M., Karlskov-Mortensen, P., Sørensen, P., Jensen, J., Guldbrandtsen, B., Lund, M. S., Christensen, O. F. & Sahana, G. (2020). Genomic diversity revealed by whole-genome sequencing in three Danish commercial pig breeds. Journal of Animal Science, 98(7), Article 229. https://doi.org/10.1093/jas/skaa229

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

Guo, X., Svane, S. F., Füchtbauer, W. S., Andersen, J. R., Jensen, J. & Thorup-Kristensen, K. (2020). Genomic prediction of yield and root development in wheat under changing water availability. Plant Methods, 16, Article 90. https://doi.org/10.1186/s13007-020-00634-0

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

Ankamah-Yeboah, T., Janss, L. L., Jensen, J. D., Hjortshøj, R. L. & Rasmussen, S. K. (2020). Genomic Selection Using Pedigree and Marker-by-Environment Interaction for Barley Seed Quality Traits From Two Commercial Breeding Programs. Frontiers in Plant Science, 11, Article 539. https://doi.org/10.3389/fpls.2020.00539

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

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

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

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

Bordbar, F., Jensen, J., Du, M., Abied, A., Guo, W., Xu, L., Gao, H., Zhang, L. & Li, J. (2020). Identification and validation of a novel candidate gene regulating net meat weight in Simmental beef cattle based on imputed next-generation sequencing. Cell Proliferation, 53(9), Article e12870. https://doi.org/10.1111/cpr.12870

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

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

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

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

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

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

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