Publications

Peer-reviewed publications at QGG

2019

Contribution to conference

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 from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

Poulsen, N. A., Buitenhuis, A. J., Johansen, M. & Larsen, L. B. (2019). Sustainable dairy production and its exploitation into healthy dairy products. Abstract and oral presentation. Abstract from 16th Symposium on Milk Genomics and Human Health, Aarhus, Denmark.

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 from Dairy Research Conference 2019, Billund, Denmark.

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.

Nielsen, H. M. & Kargo, M. (2019). A conservation plan for the Danish Jutland horse. Abstract from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

Nielsen, B., Ask, B., Gao, H. & Su, G. (2019). Prediction of individual breeding values from group recordings. Abstract from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

Manzanilla Pech, C. I. V., Løvendahl, P. & Lassen, J. (2019). Multi-trait genomic prediction of methane emission in Danish Holstein. Abstract from 70th Annual Meeting of the European Federation of Animal Science (EAAP), Ghent, Belgium.

Malinowska, M., Nagy, I., Ruud, A. K., Bjarup Hansen, P., Svane, S. F., Wagemaker, C. A. M., Krusell, L., Eriksen, B., Jahoor, A., Jensen, J. D., Fè, D., Lenk, I., Greve, M., Eriksen, L. B., Thorup-Kristensen, K., Jensen, C. S. & Asp, T. (2019). Epigenetics of drought responses in spring barley and perennial ryegrass. Abstract from The Plant and Animal Genome XXVII Conference (PAG) 2019, San Diego, United States.

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 from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

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 from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

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 from ICAR 2019, Prag, Czech Republic. https://www.icar.org/Documents/Prague-2019/Abstracts/S06(T)-OP-1.pdf

Guo, X., Jensen, J. & Janss, L. (2019). Estimating epistasis in cereals for genomic prediction of unobserved crosses in a half diallel experiment. Abstract from The Plant and Animal Genome XXVII Conference (PAG) 2019, San Diego, United States. https://pag.confex.com/pag/xxvii/meetingapp.cgi/Paper/34819

Guo, X. (2019). Genetic and Environmental Variation in Yield and Root Development in Winter Wheat Using a Semi-Field Phenotyping System. Abstract from Plant and Animal Genome Conference ASIA 2019, Shenzhen, China.

Guo, X., Cericola, F., Fè, D., Greve-Pedersen, M., Lenk, I., Jensen, C. S., Jensen, J. & Janss, L. (2019). Genomic Prediction in Tetraploid Ryegrass. Abstract from PAG 2017, San Diego, United States.

Gao, 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 from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

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

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.

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.

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 from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

Chu, T. T., Bastiaansen, J. WM., Berg, P. & Komen, H. (2019). Use of genomic information to improve accuracy of prediction from group records. Abstract from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

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. 528-528. Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.

2019

Contribution to book anthology

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)

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. In Temadag om aktuel minkforskning: bilag (pp. 28-31). Århus Universitet. https://anis.au.dk/fileadmin/ingen_mappe_valgt/Minktemadag_rapport_final_september2019.pdf

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).

Lidauer, M., Leino, A.-M., Stephansen, R. B., Pösö, J., Fikse, F. & Aamand, G. P. (2019). Genetic Evaluation for Maintenance – Towards Genomic Breeding Values for Saved Feed in Nordic Dairy Cattle. In Interbull Bulletin: Proceedings of the 2019 Interbull Meeting (Vol. 55 (2019), pp. 21-25) https://journal.interbull.org/index.php/ib/article/view/177

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. In J. Kucera, P. Bucek, D. Lipovsky, X. Bourrigan & M. Burke (Eds.), 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 (pp. 143-154). ICAR. https://www.icar.org/wp-content/uploads/2019/12/ICAR-Technical-Series-24-Prague-2019-Proceedings.pdf

2019

Book anthology

Zaalberg, R. M. (2019). Genetic analysis of Fourier transform infrared milk spectra in Danish dairy cattle. Århus Universitet.

Slagboom, M. (2019). Quantifying the value of specific breeding lines for organic dairy cattle. Aarhus University.

Mesbah-Uddin, M. (2019). Identification of causal factors for recessive lethals in dairy cattle with special focus on large chromosomal deletions. Århus Universitet.

Mebratie, W. (2019). The genetics of body weight and feed efficiency in broiler chickens. Aarhus Unversitet.

Kristensen, P. S. (2019). Genomic prediction of baking quality in winter wheat. Aarhus University.

2019

Contribution to journal

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. Article 95. https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715

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. Article 262. https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715

Wang, X., Gao, H., Gebremedhin, K. G., Bjerg, B. S., Van Os, J., Tucker, C. B. & Zhang, G. (2019). Corrigendum to “A predictive model of equivalent temperature index for dairy cattle (ETIC)” [J. Therm. Biol. (2018) 165–170]. Journal of Thermal Biology, 82, 252-253. https://doi.org/10.1016/j.jtherbio.2018.12.012

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), Article 68. https://doi.org/10.1186/s12711-019-0513-3

Robertsen, C. D., Hjortshøj, R. L. & Janss, L. L. (2019). Genomic selection in cereal breeding. Agronomy, 9(2), Article 95. https://doi.org/10.3390/agronomy9020095

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.12402

Zhang, 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

Zaalberg, R. M., Shetty, N., Janss, L. & Buitenhuis, A. J. (2019). Genetic analysis of Fourier transform infrared milk spectra in Danish Holstein and Danish Jersey. Journal of Dairy Science, 102(1), 503-510. https://doi.org/10.3168/jds.2018-14464

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, 116(39), 19398-19408. https://doi.org/10.1073/pnas.1904159116

Lifelines Cohort Study & V. A. Million Veteran Program (2019). A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nature Genetics, 51(6), 957-972. https://doi.org/10.1038/s41588-019-0407-x

Wu, 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. Article 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, Article 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

Veeckman, E., Van Glabeke, S., Haegeman, A., Muylle, H., Van Parijs, F. R. D., Byrne, S. L., Asp, T., Studer, B., Rohde, A., Roldán-Ruiz, I., Vandepoele, K. & Ruttink, T. (2019). Overcoming challenges in variant calling: Exploring sequence diversity in candidate genes for plant development in perennial ryegrass (Lolium perenne). DNA Research, 26(1), 1-12. https://doi.org/10.1093/dnares/dsy033

Thirstrup, J. P., Villumsen, T. M., Malmkvist, J. & Lund, M. S. (2019). Selection for temperament has no negative consequences on important production traits in farmed mink1. Journal of Animal Science, 97(5), 1987-1995. https://doi.org/10.1093/jas/skz089

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

Steenfeldt, S., Sørensen, P. & Nielsen, B. L. (2019). Effects of choice feeding and lower ambient temperature on feed intake, growth, foot health, and panting of fast- and slow-growing broiler strains. Poultry Science, 98(2), 503-513. https://doi.org/10.3382/ps/pey323

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, Article 404. https://doi.org/10.1186/s12864-019-5786-y

Pedersen, M. L. M., Velander, I. H., Nielsen, M. B. F., Lundeheim, N. & Nielsen, B. (2019). Duroc boars have lower progeny mortality and lower fertility than Pietrain boars1. Translational Animal Science, 3(2), 885-892. https://doi.org/10.1093/tas/txz036

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

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), Article 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.2018-16020

Naeemipour 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/S0022029919000013

Mukherjee, 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), Article 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), Article 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, Article 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-z

Ma, 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

Ma, P., Lund, M. S., Aamand, G. P. & Su, G. (2019). Use of a Bayesian model including QTL markers increases prediction reliability when test animals are distant from the reference population. Journal of Dairy Science, 102(8), 7237-7247. https://doi.org/10.3168/jds.2018-15815

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. Article 1926. https://doi.org/10.3389/fpls.2018.01926

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

Liu, A., Lund, M. S., Boichard, D. A., Karaman, E., Fritz, S., Aamand, G. P., Nielsen, U. S., Wang, Y. & Su, G. (2019). 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

Larsen, F. T., Bed'hom, B., Guldbrandtsen, B. & Dalgaard, T. S. (2019). Identification and tissue-expression profiling of novel chicken c-type lectin-like domain containing proteins as potential targets for carbohydrate-based vaccine strategies. Molecular Immunology, 114(October), 216-225. https://doi.org/10.1016/j.molimm.2019.07.022

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), Article 669. https://doi.org/10.3390/genes10090669

Kristensen, P. S., Jahoor, A., Andersen, J. R., Jihad, O., Janss, L. & Jensen, J. (2019). Multi-Trait and Trait-Assisted Genomic Prediction of Winter Wheat Quality Traits Using Advanced Lines from Four Breeding Cycles. Hapres CBGG; Crop, Breeding, Genetics, Genomics, Article :e190010. https://doi.org/10.20900/cbgg20190010

Knorst, V., Yates, S., Byrne, S., Asp, T., Widmer, F., Studer, B. & Kölliker, R. (2019). First assembly of the gene-space of Lolium multiflorum and comparison to other Poaceae genomes. Grassland Science, 65(2), 125-134. https://doi.org/10.1111/grs.12225

Knorst, V., Byrne, S., Yates, S., Asp, T., Widmer, F., Studer, B. & Kölliker, R. (2019). Pooled DNA sequencing to identify SNPs associated with a major QTL for bacterial wilt resistance in Italian ryegrass (Lolium multiflorum Lam.). Theoretical and Applied Genetics, 132(4), 947-958. https://doi.org/10.1007/s00122-018-3250-z

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), Article 286. https://doi.org/10.1186/s12864-019-5628-y

Henryon, M., Liu, H., Berg, P., Su, G., Nielsen, H. M., Gebregiwergis, G. T. & Sørensen, A. C. (2019). Pedigree relationships to control inbreeding in optimum-contribution selection realise more genetic gain than genomic relationships. Genetics Selection Evolution, 51(1), Article 39. https://doi.org/10.1186/s12711-019-0475-5

Heidaritabar, M., Bijma, P., Janss, L., Bortoluzzi, C., Nielsen, H. M., Madsen, P., Ask, B. & Christensen, O. F. (2019). Models with indirect genetic effects depending on group sizes: a simulation study assessing the precision of the estimates of the dilution parameter. Genetics Selection Evolution, 51(1), 24. Article 24. https://doi.org/10.1186/s12711-019-0466-6

Geissmann, Q., Beckwith, E. J. & Gilestro, G. F. (2019). Most sleep does not serve a vital function: Evidence from Drosophila melanogaster. Science Advances, 5(2), Article eaau9253. https://doi.org/10.1126/sciadv.aau9253

Geissmann, Q., Rodriguez, L. G., Beckwith, E. J. & Gilestro, G. F. (2019). Rethomics: An R framework to analyse high-throughput behavioural data. PLOS ONE, 14(1), Article e0209331. https://doi.org/10.1371/journal.pone.0209331

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

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