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), [1958].
https://doi.org/10.3390/ani10111958
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, [575467].
https://doi.org/10.3389/fpls.2020.575467
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
Zaalberg, 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 from 71st Annual Meeting of European Federation of Animal Science.
https://www.wageningenacademic.com/doi/book/10.3920/978-90-8686-900-8
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
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, [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
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, [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), [skaa229].
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), [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, [90].
https://doi.org/10.1186/s13007-020-00634-0
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, [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, [108].
https://doi.org/10.3389/fgene.2020.00108
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), [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, [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.
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, [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), [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/g3.120.401847
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
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
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
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, No. 2019-0035910, 23 p., Mar 02, 2020.
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, [866].
https://doi.org/10.3389/fgene.2020.00866
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
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, [58].
https://doi.org/10.1186/s12711-020-00578-y
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
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), [226].
https://doi.org/10.3390/vaccines8020226
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
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, [578123].
https://doi.org/10.3389/fgene.2020.578123
Mesbah-Uddin, M., Guldbrandtsen, B., Capitan, A.
, Lund, M. S., Boichard, D.
& Sahana, G. (2020).
Strategy to imputation of large genomic deletions and utilizing them in mapping and genomic prediction in cattle. Abstract from 6th International Conference of Quantitative Genetics, Brisbane, Australia.
https://icqg6.org/wp-content/uploads/2020/11/ICQG6_2020_Abstract_Book.pdf
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), [8].
https://doi.org/10.1186/s12711-020-0527-x
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), [e0232665].
https://doi.org/10.1371/journal.pone.0232665
Sarup, P.
, Guo, X., Nielsen, N., Jensen, J. D., Mulder, F., Jihad, O., Edriss, V., Jahoor, A.
& Jensen, J. (2020).
Using NMR metabolomics in breeding for malt quality in spring barley. Abstract from International Symposium of the Society for Plant Breeding (GPZ), Tulln, Austria.
https://gpz2020.boku.ac.at/wp-content/uploads/2020/03/06_Sarup.pdf
Vestergaard, M., Spleth, P., Stephansen, R.
, Kargo, M., Ettema, J. F. & Fogh, A. (2020).
Utilizing beef x dairy crossbreds for beef production – Danish experiences. In
Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science (Vol. 26, pp. 317). Wageningen Academic Publishers.
https://doi.org/10.3920/978-90-8686-900-8
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), [48].
https://doi.org/10.1186/s12711-020-00568-0
Fan, H.
, Hou, Y., Sahana, G., Gao, H., Zhu, C., Du, L., Zhao, F. & Wang, L. (2019).
A Transcriptomic Study of the Tail Fat Deposition in Two Types of Hulun Buir Sheep According to Tail Size and Sex.
Animals,
9(9), [655].
https://doi.org/10.3390/ani9090655
Christensen, O. F., Nielsen, B.
, Su, G., Xiang, T.
, Madsen, P., Ostersen, T., Velander, I. & Strathe, A. B. (2019).
A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs.
Genetics Selection Evolution,
51, [45].
https://doi.org/10.1186/s12711-019-0486-2
Poulsen, N. A., Robinson, R. C., Barile, D.
, Larsen, L. B. & Buitenhuis, B. (2019).
A genome-wide association study reveals specific transferases as candidate loci for bovine milk oligosaccharides synthesis.
BMC Genomics,
20, [404].
https://doi.org/10.1186/s12864-019-5786-y
Mesbah-Uddin, M., Hoze, C., Michot, P., Barbat, A., Lefebvre, R., Boussaha, M.
, Sahana, G., Fritz, S., Boichard, D. & Capitan, A. (2019).
A missense mutation (p.Tyr452Cys) in the CAD gene compromises reproductive success in French Normande cattle.
Journal of Dairy Science,
102(7), 6340-6356.
https://doi.org/10.3168/jds.2018-16100
Iso-Touru, T., Wurmser, C., Venhoranta, H., Hiltpold, M., Savolainen, T., Sironen, A., Fischer, K., Flisikowski, K., Fries, R., Vicente-Carrillo, A., Alvarez-Rodriguez, M., Nagy, S., Mutikainen, M., Peippo, J., Taponen, J.
, Sahana, G., Guldbrandtsen, B., Simonen, H., Rodriguez-Martinez, H. ... Pausch, H. (2019).
A splice donor variant in CCDC189 is associated with asthenospermia in Nordic Red dairy cattle.
BMC Genomics,
20(1), [286].
https://doi.org/10.1186/s12864-019-5628-y
Liu, H., Tessema, B. B., Jensen, J., Cericola, F., Andersen, J. R. & Sørensen, A. C. (2019).
ADAM-Plant: A Software for Stochastic Simulations of Plant Breeding From Molecular to Phenotypic Level and From Simple Selection to Complex Speed Breeding Programs.
Frontiers in Plant Science,
9, 1926. [1926].
https://doi.org/10.3389/fpls.2018.01926
Kargo, M. (2019).
Avl. In T. Kristensen, J. O. Lehmann & L. Mogensen (Eds.),
Fremtidens helhedsorienterede og balancerede kvægproduktion - visioner og udfordringer for malkekvægsbedriften frem mod år 2040 (Vol. 146, pp. 52-64). DCA RAPPORT NR. 146 - FREMTIDENS HELHEDSORIENTEREDE OG BALANCEREDE KVÆGPRODUKTION
Chu, T. T., Norberg, E., Henshall, J.
& Jensen, J. (2019).
Benefits of using genomic information for broiler breeding program in presence of GxE interactions. Abstract from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.
Gao, H., Madsen, P., Aamand, G. P.
, Thomasen, J. R., Sørensen, A. C. & Jensen, J. (2019).
Bias in estimates of variance components in populations undergoing genomic selection: a simulation study.
BMC Genomics,
20(1), [956].
https://doi.org/10.1186/s12864-019-6323-8
Malik, P. L.
, Janss, L., Nielsen, L. K., Borum, F., Jørgensen, H., Eriksen, B., Schjoerring, J. K. & Rasmussen, S. K. (2019).
Breeding for dual-purpose wheat varieties using marker–trait associations for biomass yield and quality traits.
Theoretical and Applied Genetics,
132(12), 3375-3398.
https://doi.org/10.1007/s00122-019-03431-z
Clasen, J. B.
, Lehmann, J. O., Thomasen, J. R., Østergaard, S. & Kargo, M. (2019).
Combining extended lactation with sexed semen in a dairy cattle herd: Effect on genetic and total economic return.
Livestock Science,
223, 176-183.
https://doi.org/10.1016/j.livsci.2019.03.001
Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2019).
Combining multi-population datasets for joint genome-wide association and meta-analyses: The case of bovine milk fat composition traits.
Journal of Dairy Science,
102(12), 11124-11141.
https://doi.org/10.3168/jds.2019-16676
Garnsworthy, P. C.
, Difford, G. F., Bell, M. J., Bayat, A. R., Huhtanen, P., Kuhla, B.
, Lassen, J., Peiren, N., Pszczola, M., Sorg, D., Visker, M. H. P. W. & Yan, T. (2019).
Comparison of methods to measure methane for use in genetic evaluation of dairy cattle.
Animals,
9(10), [837].
https://doi.org/10.3390/ani9100837
Clasen, J.
, Kargo, M., Østergaard, S., Fikse, W. F., Rydhmer, L. & Strandberg, E. (2019).
Consequences of crossbreeding, genotyping, and use of sexed semen and beef semen on genetic merit and profitability in Swedish dairy herds. 292-293. Abstract from ADSA Annual Meeting 2019, Cincinnati, Ohio, United States.
https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715
Chu, T. T., Bastiaansen, J. W. M.
, Berg, P., Romé, H., Marois, D., Henshall, J.
& Jensen, J. (2019).
Correction to: Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments.
Genetics Selection Evolution,
51(1), [68].
https://doi.org/10.1186/s12711-019-0513-3
Schmidtmann, C.
, Kargo, M., Ettema, J. F., Hinrichs, D. & Thaller, G. (2019).
Derivation of economic values for German dairy breeds. 609-609. Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.
Warner, D., Dettmann, F.
, Buitenhuis, A. J., Kargo, M., Hostrup Kjeldsen, A. M., Nielsen, N. H., Lefebvre, D. M. & Santschi, D. E. (2019).
Development of a prediction equation for body weight change in early-lactating dairy cows by Fourier-transform infrared predicted fatty acid profiles in milk.
Journal of Dairy Science,
102(Supplement 1), 109-110. [95].
https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715
Clasen, J.
, Kargo, M., Østergaard, S., Fikse, W. F., Rydhmer, L. & Strandberg, E. (2019).
Effect of crossbreeding and using new techniques on genetic merit and economy in Swedish dairy herds. 285-285. Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.
Olijhoek, D., Hellwing, A. L. F., Grevsen, K., Haveman, L., Chowdhury, M. R., Løvendahl, P., Weisbjerg, M. R., Noel, S. J., Hojberg, O., Wiking, L. & Lund, P. (2019).
Effect of dried oregano (Origanum vulgare L.) plant material in feed on methane production, rumen fermentation, nutrient digestibility, and milk fatty acid composition in dairy cows.
Journal of Dairy Science,
102(11), 9902–9918.
https://doi.org/10.3168/jds.2019-16329
Vargas-Beloo-Pérez, E., Dhakal, R.
, Kargo, M., Buitenhuis, A. J. & Poulsen, N. A. (2019).
Effect of feeding managements on the milk concentrations of short- and medium-chain fatty acids. Abstract from 70th Annual Meeting of the European Federation of Animal Science (EAAP), Ghent, Belgium.
Henriksen, J. C. S., Weisbjerg, M. R., Løvendahl, P., Kristensen, T. & Munksgaard, L. (2019).
Effects of an individual cow concentrate strategy on production and behavior.
Journal of Dairy Science,
102(3), 2155-2172.
https://doi.org/10.3168/jds.2018-15477
Lee, A., Krawczel, P.
, Ternman, E. M., Schneider, L.
, Løvendahl, P. & Munksgaard, L. (2019).
Effects of mean occupation rate on hourly automatic milking system use and total milk production in Holstein cows.
Journal of Dairy Science,
102(Suppl. 1), 250-250. [262].
https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715
Szalanski, M., Kristensen, T., Difford, G., Lassen, J., Buitenhuis, A. J., Pszczola, M.
& Løvendahl, P. (2019).
Enteric methane emission from Jersey cows during the spring transition from indoor feeding to grazing.
Journal of Dairy Science,
102(7), 6319-6329.
https://doi.org/10.3168/jds.2018-15984
Lee, A., Krawczel, P.
, Ternman, E. M., Schneider, L.
, Løvendahl, P. & Munksgaard, L. (2019).
Evaluating the effects of mean occupation rate and milk production on two automatic milking systems. In R. C. Newberry & B. O. Braastad (Eds.),
Proceedings of the 53rd Congress of the ISAE: Animal Lives Worth Living (pp. 302-302). Wageningen Academic Publishers.
https://www.applied-ethology.org/ISAE_Meetings.html
Lee, A. R., Krawczel, P.
, Ternman, E. M., Schneider, L. G.
, Løvendahl, P. & Munksgaard, L. (2019).
Evaluating the effects of mean stocking density on automatic milking system use and total milk production in Holstein cows. In
Proceedings of the 2nd International Precision Dairy Farming Conference (pp. 71-72)
Olijhoek, D., Løvendahl, P., Hellwing, A. L. F., Weisbjerg, M. R. & Lund, P. (2019).
Feed sorting of low and high concentrate diets by Holstein and Jersey dairy cows. 199. Abstract from British Society of Animal Science conference 2019, Edinburgh, United Kingdom.
Rohde, P. D., Jensen, I. R.
, Sarup, P. M., Ørsted, M.
, Demontis, D., Sørensen, P. & Kristensen, T. N. (2019).
Genetic Signatures of Drug Response Variability in Drosophila melanogaster.
Genetics (Print),
213(2), 633-650.
https://doi.org/10.1534/genetics.119.302381
Zhang, H., Liu, A., Li, X., Xu, W., Shi, R., Luo, H.
, Su, G., Dong, G.
, Guo, G. & Wang, Y. (2019).
Genetic analysis of skinfold thickness and its association with body condition score and milk production traits in Chinese Holstein population.
Journal of Dairy Science,
102(3), 2347-2352.
https://doi.org/10.3168/jds.2018-15180
Mebratie, W., Madsen, P., Hawken, R.
, Romé, H., Marois, D., Henshall, J., Bovenhuis, H.
& Jensen, J. (2019).
Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens.
Genetics Selection Evolution,
51(1), [53].
https://doi.org/10.1186/s12711-019-0494-2
Aliakbari, A., Ehsani, A., Vaez Torshizi, R.
, Løvendahl, P., Esfandyari, H., Jensen, J. & Sarup, P. (2019).
Genetic variance of metabolomic features and their relationship with body weight and body weight gain in Holstein cattle.
Journal of Animal Science,
97(9), 3832-3844.
https://doi.org/10.1093/jas/skz228
Mebratie, W., Reyer, H., Wimmers, K.
, Bovenhuis, H. & Jensen, J. (2019).
Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation.
Scientific Reports,
9, [922].
https://doi.org/10.1038/s41598-018-37216-z
Zhang, T.
, Gao, H., Sahana, G., Zan, Y., Fan, H., Liu, J., Shi, L., Liu, J., Du, L., Wang, L. & Zhao, F. (2019).
Genome-wide association studies revealed candidate genes for tail fat deposition and body size in the Hulun Buir sheep.
Journal of Animal Breeding and Genetics,
136(5), 362-370.
https://doi.org/10.1111/jbg.12402
Gan, Q. F., Li, Y. R.
, Lund, M., Su, G. S. & Liang, X. W. (2019).
Genome-wide association study identifies loci linked to serum electrolyte traits in Chinese Holstein cattle.
Animal Genetics,
50(6), 744-748.
https://doi.org/10.1111/age.12851
Kristensen, P. S.
, Jensen, J., Andersen, J. R., Guzmán, C., Jihad, O. & Jahoor, A. (2019).
Genomic Prediction and Genome-Wide Association Studies of Flour Yield and Alveograph Quality Traits Using Advanced Winter Wheat Breeding Material.
Genes,
10(9), [669].
https://doi.org/10.3390/genes10090669
Slagboom, M., Kargo, M., Sørensen, A. C., Thomasen, J. R. & Mulder, H. A. (2019).
Genomic selection improves the possibility of applying multiple breeding programs in different environments.
Journal of Dairy Science,
102(9), 8197-8209.
https://doi.org/10.3168/jds.2018-15939
Liu, A., Su, G., Höglund, J., Zhang, Z., Thomasen, J. R., Christiansen, I. A., Wang, Y.
& Kargo, M. (2019).
Genotype by environment interaction for female fertility traits under conventional and organic production systems in Danish Holsteins.
Journal of Dairy Science,
102(9), 8134-8147.
https://doi.org/10.3168/jds.2018-15482