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), [23].
https://doi.org/10.1186/s12711-020-00541-x
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
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
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), [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), [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), [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), [e0232665].
https://doi.org/10.1371/journal.pone.0232665
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
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
Munksgaard, L., Weisbjerg, M. R., Henriksen, J. C. S. & Løvendahl, P. (2020).
Changes to steps, lying, and eating behavior during lactation in Jersey and Holstein cows and the relationship to feed intake, yield, and weight.
Journal of Dairy Science,
103(5), 4643-4653.
https://doi.org/10.3168/jds.2019-17565
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
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.2020.00108Liu, 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
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
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
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
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-zDifford, 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
Clasen, J. B., Fikse, W. F.
, Kargo, M., Rydhmer, L., Strandberg, E.
& Østergaard, S. (2020).
Economic consequences of dairy crossbreeding in conventional and organic herds in Sweden.
Journal of Dairy Science,
103(1), 514-528.
https://doi.org/10.3168/jds.2019-16958Chu, 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
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., 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), [19].
https://doi.org/10.1186/s12711-020-00538-6
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
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-xNielsen, L. V., Nielsen, B.
, Christensen, O. F., Turner, S. P.
, Nielsen, H. M. & Ask, B. (2019).
Selection of pigs for social genetic effects improves growth in crossbreeds. Paper præsenteret ved Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
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 fra 70th Annual Meeting of the European Federation of Animal Science (EAAP), Ghent, Belgien.
Slagboom, M., Hjortø, L., Sørensen, A. C., Mulder, H. A.
, Thomasen, J. R. & Kargo, M. (2019).
Possibilities for a specific breeding program for organic dairy production. 215-215. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
Schmidtmann, C.
, Kargo, M., Ettema, J. F., Hinrichs, D. & Thaller, G. (2019).
Derivation of economic values for German dairy breeds. 609-609. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
Rome, H. J. S., Chu, T. T., Hawken, R., Henshall, J.
& Jensen, J. (2019).
WGBLUP model improves accuracy of breeding values prediction in a commercial line of broilers. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
Poulsen, N. A., Buitenhuis, A. J., Sehested, J., Kargo, M., Wiking, L. & Larsen, L. B. (2019).
Sustainable milk production and the impact on milk quality and functionality. 16. Abstract fra Dairy Research Conference 2019, Billund, Danmark.
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 fra British Society of Animal Science conference 2019, Edinburgh, Storbritannien.
Nielsen, B., Ask, B.
, Gao, H. & Su, G. (2019).
Prediction of individual breeding values from group recordings. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
Kargo, M., Hein, L.
, Poulsen, N. A. & Buitenhuis, A. J. (2019).
Keeping up with a healthy milk fatty acid profile requires selection. 604-604. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
Kargo, M., Clasen, J.
, Ettema, J. F., Davis, R. B.
& Østergaard, S. (2019).
SimHerd Crossbred for estimating the economic effects of crossbreeding. 285-285. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
Holmquist, D. D.
, Buitenhuis, A. J., Nielsen, N. H.
, Poulsen, N. A., Munk, A.
& Kargo, M. (2019).
Where will new techologies take milk recording? Large scale screening of the Danish dairy cattle population for their milk fatty acid profile. Abstract fra ICAR 2019, Prag, Tjekkiet.
https://www.icar.org/Documents/Prague-2019/Abstracts/S06(T)-OP-1.pdfGao, H., Nielsen, B.
, Su, G., Madsen, P., Jensen, J., Christensen, O. F., Ostersen, T.
& Shirali, M. (2019).
Use of repeated group measurements with drop out animals for genetic analysis. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
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 fra ADSA Annual Meeting 2019, Cincinnati, USA.
https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715Clasen, 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 fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
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 fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
Chu, T. T., Rome, H. J. S., Norberg, E., Marois, D., Henshall, J.
& Jensen, J. (2019).
GxE interactions of body weight for broilers raised in bio-secure and commercial environments. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
Chu, T. T., Bastiaansen, J. WM.
, Berg, P. & Komen, H. (2019).
Use of genomic information to improve accuracy of prediction from group records. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
Cao, L., Liu, H., Mulder, H. A., Henryon, M.
, Thomasen, J. R., Kargo, M. & Sørensen, A. C. (2019).
Genomic selection breeding program benefits more than traditional one in presence of GxE. 526-526. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.
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. I R. C. Newberry & B. O. Braastad (red.),
Proceedings of the 53rd Congress of the ISAE: Animal Lives Worth Living (s. 302-302). Wageningen Academic Publishers.
https://www.applied-ethology.org/ISAE_Meetings.htmlLee, 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. I
Proceedings of the 2nd International Precision Dairy Farming Conference (s. 71-72)
Madsen, M. D., Shirali, M., Jensen, J., Hansen, B. K.
, Møller, S. H. & Villumsen, T. M. (2019).
Selektion for fodereffektivitet uden negative konsekvenser for kropsvægt og kuldstørrelse. I
Temadag om aktuel minkforskning: bilag (s. 28-31). Aarhus Universitet.
https://anis.au.dk/fileadmin/ingen_mappe_valgt/Minktemadag_rapport_final_september2019.pdf
Kargo, M. (2019).
Avl. I T. Kristensen, J. O. Lehmann & L. Mogensen (red.),
Fremtidens helhedsorienterede og balancerede kvægproduktion - visioner og udfordringer for malkekvægsbedriften frem mod år 2040 (Bind 146, s. 52-64). DCA RAPPORT NR. 146 - FREMTIDENS HELHEDSORIENTEREDE OG BALANCEREDE KVÆGPRODUKTION
Dettmann, F., Warner, D.
, Buitenhuis, A. J., Kargo, M., Hostrup Kjeldsen, A. M., Nielsen, N. H., Lefebvre, D. M. & Santschi, D. E. (2019).
The use of fatty acid profiles from milk recording samples to predict body weight change of dairy cows in early lactation in commercial farms. I J. Kucera, P. Bucek, D. Lipovsky, X. Bourrigan & M. Burke (red.),
New traits and adding value to the recording and ID services in the animal production: Proceedings of the ICAR Conference held in Prague, CZ, 17-21 June 2019 (s. 143-154). ICAR. ICAR Technical Series, Nr. 24
https://www.icar.org/wp-content/uploads/2019/12/ICAR-Technical-Series-24-Prague-2019-Proceedings.pdfWarner, 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?v20190715Lee, 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?v20190715Chu, 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
Ørsted, M., Hoffmann, A. A.
, Rohde, P. D., Sørensen, P. & Kristensen, T. N. (2019).
Strong impact of thermal environment on the quantitative genetic basis of a key stress tolerance trait.
Heredity,
122(3), 315-325.
https://doi.org/10.1038/s41437-018-0117-7
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
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.12402Zhang, Z., Kargo, M., Liu, A., Thomasen, J. R., Pan, Y.
& Su, G. (2019).
Genotype-by-environment interaction of fertility traits in Danish Holstein cattle using a single-step genomic reaction norm model.
Heredity,
123(2), 202-214.
https://doi.org/10.1038/s41437-019-0192-4
Xiang, R., Van Den Berg, I., MacLeod, I. M., Hayes, B. J., Prowse-Wilkins, C. P., Wang, M., Bolormaa, S., Liu, Z., Rochfort, S. J., Reich, C. M., Mason, B. A., Vander Jagt, C. J., Daetwyler, H. D.
, Lund, M. S., Chamberlain, A. J. & Goddard, M. E. (2019).
Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits.
Proceedings of the National Academy of Sciences of the United States of America,
116(39), 19398-19408.
https://doi.org/10.1073/pnas.1904159116Wu, X., Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019).
Haplotypes responsible for early embryonic lethality detected in Nordic Holsteins.
Journal of Dairy Science,
102(12), 11116-11123.
https://doi.org/10.3168/jds.2019-16651
Wiking, L., Bjerring, M., Løkke, M. M.
, Løvendahl, P. & Kristensen, T. (2019).
Herd factors influencing free fatty acid concentrations in bulk tank milk.
Journal of Dairy Research,
86(2), 226-232. [0022029919000190].
https://doi.org/10.1017/S0022029919000190
Wang, X., Lund, M. S., Ma, P., Janss, L., Kadarmideen, H. N.
& Su, G. (2019).
Improving genomic predictions by correction of genotypes from genotyping by sequencing in livestock populations.
Journal of Animal Science and Biotechnology,
10, [8].
https://doi.org/10.1186/s40104-019-0315-z
Vestergaard, M., Jørgensen, K. F.
, Çakmakçı, C., Kargo, M., Therkildsen, M., Munk, A.
& Kristensen, T. (2019).
Performance and carcass quality of crossbred beef x Holstein bull and heifer calves in comparison with purebred Holstein bull calves slaughtered at 17 months of age in an organic production system.
Livestock Science,
223, 184-192.
https://doi.org/10.1016/j.livsci.2019.03.018
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
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
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
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
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
Noel, S. J., Olijhoek, D., McLean, F., Løvendahl, P., Lund, P. & Hojberg, O. (2019).
Rumen and Fecal Microbial Community Structure of Holstein and Jersey Dairy Cows as Affected by Breed, Diet, and Residual Feed Intake.
Animals,
9(8), [498].
https://doi.org/10.3390/ani9080498
Negussie, E., Mehtiö, T., Mäntysaari, P.
, Løvendahl, P., Mäntysaari, E. A. & Lidauer, M. H. (2019).
Reliability of breeding values for feed intake and feed efficiency traits in dairy cattle: When dry matter intake recordings are sparse under different scenarios.
Journal of Dairy Science,
102(8), 7248-7262.
https://doi.org/10.3168/jds.2018-16020Naeemipour Younesi, H., Shariati, M. M., Zerehdaran, S., Jabbari Nooghabi, M.
& Løvendahl, P. (2019).
Using quantile regression for fitting lactation curve in dairy cows.
Journal of Dairy Research,
86(1), 19-24.
https://doi.org/10.1017/S0022029919000013Mukherjee, S., Cai, Z., Mukherjee, A., Longkumer, I., Mech, M., Vupru, K., Khate, K., Rajkhowa, C., Mitra, A.
, Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019).
Whole genome sequence and de novo assembly revealed genomic architecture of Indian Mithun (Bos frontalis).
BMC Genomics,
20(1), [617].
https://doi.org/10.1186/s12864-019-5980-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
Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S., Boichard, D.
& Sahana, G. (2019).
Joint imputation of whole-genome sequence variants and large chromosomal deletions in cattle.
Journal of Dairy Science,
102(12), 11193-11206.
https://doi.org/10.3168/jds.2019-16946
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
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
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-zMa, X., Li, P., Zhang, Q., He, L.
, Su, G., Huang, Y., Lu, Z., Hu, W., Ding, H. & Huang, R. (2019).
Transcriptome analysis of the endometrium from Chinese Erhualian sows that differ in calcium ion concentration and litter size.
Animal Genetics,
50(4), 326-333.
https://doi.org/10.1111/age.12788
