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/ani11030835Li, 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/ani11030806Zhang, 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/fullJohannsen, 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
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/s12711-021-00609-2Villumsen, 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
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-CJASSchmidtmann, 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/s12711-021-00613-6Clasen, 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/ani11041157Stephansen, 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/s12864-021-07496-3Tessema, 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/s41597-020-0537-0Mao, 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
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, Artikel 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), Artikel 18434.
https://doi.org/10.1038/s41598-020-75612-6
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/g3.120.401847Vestergaard, M., Spleth, P., Stephansen, R.
, Kargo, M., Ettema, J. F. & Fogh, A. (2020).
Utilizing beef x dairy crossbreds for beef production – Danish experiences. I
Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science (Bind 26, s. 317). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-900-8
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, Artikel 586155.
https://doi.org/10.3389/fgene.2020.586155Malinowska, 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. Artikel e20049.
https://doi.org/10.1002/tpg2.20049
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, Artikel 575467.
https://doi.org/10.3389/fpls.2020.575467
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), Artikel 58.
https://doi.org/10.1186/s12711-020-00578-y
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
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
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. Artikel 1958.
https://doi.org/10.3390/ani10111958Forte, 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, Artikel 570026.
https://doi.org/10.3389/fpls.2020.570026
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
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), Artikel e39.
https://doi.org/10.1002/leg3.39
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, Artikel 735358.
https://doi.org/10.1016/j.aquaculture.2020.735358
Gebreyesus, G., Sahana, G., Christian Sørensen, A., Lund, M. S. & Su, G. (2020).
Novel approach to incorporate information about recessive lethal genes increases the accuracy of genomic prediction for mortality traits.
Heredity,
125, 155-166.
https://doi.org/10.1038/s41437-020-0329-5
Chu, T. T., Sørensen, A. C., Lund, M. S., Meier, K., Nielsen, T. & Su, G. (2020).
Phenotypically Selective Genotyping Realizes More Genetic Gains in a Rainbow Trout Breeding Program in the Presence of Genotype-by-Environment Interactions.
Frontiers in Genetics,
11, Artikel 866.
https://doi.org/10.3389/fgene.2020.00866
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, Artikel 1181.
https://doi.org/10.3389/fpls.2020.01181
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
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-zCai, 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), Artikel 229.
https://doi.org/10.1093/jas/skaa229
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, Artikel 90.
https://doi.org/10.1186/s13007-020-00634-0
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
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), Artikel 31.
https://doi.org/10.1186/s12711-020-00550-w
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), Artikel dsaa015.
https://doi.org/10.1093/dnares/dsaa015Larsen, 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), Artikel 226.
https://doi.org/10.3390/vaccines8020226
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), Artikel 776.
https://doi.org/10.3390/microorganisms8050776
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
Gebreyesus, G., Difford, G. F., Buitenhuis, B., Lassen, J., Noel, S. J., Højberg, O., Plichta, D. R.
, Zhu, Z., Poulsen, N. A., Sundekilde, U. K., Løvendahl, P. & Sahana, G. (2020).
Predictive ability of host genetics and rumen microbiome for subclinical ketosis.
Journal of Dairy Science,
103(5), 4557-4569.
https://doi.org/10.3168/jds.2019-17824
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), Artikel e0232665.
https://doi.org/10.1371/journal.pone.0232665Cai, 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), Artikel 19.
https://doi.org/10.1186/s12711-020-00538-6
Ba, H., Qin, T.
, Cai, Z., Liu, W. & Li, C. (2020).
Molecular evidence for adaptive evolution of olfactory-related genes in cervids.
Genes and Genomics,
42(4), 355-360.
https://doi.org/10.1007/s13258-019-00911-wZaalberg, 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
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, Artikel 251.
https://doi.org/10.3389/fgene.2020.00251
Gautason, E., Schonherz, A. A., Sahana, G. & Guldbrandtsen, B. (2020).
Relationship of Icelandic cattle with Northern and Western European cattle breeds, admixture and population structure.
Acta Agriculturae Scandinavica, Section A - Animal Science,
69(1-2), 25-38.
https://doi.org/10.1080/09064702.2019.1699951
Hutchings, N., Lærke, P. E., Munkholm, L. J., Elsgaard, L., Kristensen, T., Rasmussen, J., Lund, P., Børsting, C. F., Løvendahl, P., Mikkelsen, M. H., Albrektsen, R., Gyldenkærne, S., Møller, H. B., Hansen, M. J., Feilberg, A. & Adamsen, A. P. S., (2020).
Opdatering af effekter og potentialer af klimavirkemidler til anvendelse i landbrug, Nr. 2019-0035910, 23 s., mar. 02, 2020.
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
Ask, B.
, Christensen, O. F., Heidaritabar, M., Madsen, P. & Nielsen, H. M. (2020).
The predictive ability of indirect genetic models is reduced when culled animals are omitted from the data.
Genetics, selection, evolution : GSE,
52(1), Artikel 8.
https://doi.org/10.1186/s12711-020-0527-xLiu, A., Lund, M. S., Boichard, D. A.
, Karaman, E., Fritz, S., Aamand, G. P., Nielsen, U. S., Wang, Y.
& Su, G. (2020).
Improvement of genomic prediction by integrating additional single nucleotide polymorphisms selected from imputed whole genome sequencing data.
Heredity,
124(1), 37-49.
https://doi.org/10.1038/s41437-019-0246-7
Hozé, C., Escouflaire, C.
, Mesbah-Uddin, M., Barbat, A., Boussaha, M., Deloche, M.-C., Boichard, D., Fritz, S. & Capitan, A. (2020).
Short communication: A splice site mutation in CENPU is associated with recessive embryonic lethality in Holstein cattle.
Journal of Dairy Science,
103(1), 607-612.
https://doi.org/10.3168/jds.2019-17056Madsen, 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
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
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), Artikel 47.
https://doi.org/10.1186/s12711-020-00567-1Difford, 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
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), Artikel 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, Artikel 548268.
https://doi.org/10.3389/fgene.2020.548268Christensen, 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), Artikel 23.
https://doi.org/10.1186/s12711-020-00541-x
Song, J.
, Chen, W., Zhang, J., Huang, K., Hou, B.
& Prishchepov, A. V. (2020).
Effects of building density on land surface temperature in China: Spatial patterns and determinants.
Landscape and Urban Planning,
198.
https://doi.org/10.1016/j.landurbplan.2020.103794Zaalberg, R. M., Bovenhuis, H.
, Poulsen, N. A., Larsen, L. B., Sehested, J. & Buitenhuis, A. J. (2020).
Genetic analysis on minerals predicted with Fourier transform infrared milk spectra for two Danish dairy cattle breeds. Abstract fra 71st Annual Meeting of European Federation of Animal Science.
https://www.wageningenacademic.com/doi/book/10.3920/978-90-8686-900-8
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), Artikel 3347.
https://doi.org/10.1038/s41598-020-60203-2
