Publications

Peer-reviewed publications at QGG

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Løvendahl, P., Lassen, J. & Chagunda, M. G. G. (2014). Milking Efficiency – A Milkability Trait for Automatically Milked Cows. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/2MTb6GCN3n

Løvendahl, P. & Sørensen, L. P. (2015). Frequently recorded sensor data may correctly provide health status of cows. In Book of Abstracts of the 66th Annual Meeting of the European Federation of Animal Science (Vol. 21, pp. 287-287). Wageningen Academic Publishers. EAAP Book of Abstracts https://doi.org/10.3920/978-90-8686-816-2

Løvendahl, P., Bjerring, M., de Koning, K. & Allain, C. (2015). How reliable are milk sample data from AMS for decision support and regular recording. In Abstracts of the 66th Annual Meeting of the European Federation of Animal Science (Vol. 21, pp. 332-332). EAAP Book of Abstracts https://doi.org/10.3920/978-90-8686-816-2

Løvendahl, P. & Munksgaard, L. (2015). An investigation into genetic and phenotypic variation in time budgets and yield of dairy cows. Journal of Dairy Science, 99(1), 408-417. https://doi.org/10.3168/jds.2015-9838

Løvendahl, P. & Sehested, J. (2016). Short communication: Individual cow variation in urinary excretion of phosphorus. Journal of Dairy Science, 99(6), 4580-4585. https://doi.org/10.3168/jds.2015-10338

Løvendahl, P. & Sorensen, L. P. (2016). Frequently recorded sensor data may correctly provide health status of cows if data are handled carefully and errors are filtered away. Biotechnologie, Agronomie, Société et Environnement, 20(1), 3-12. http://popups.ulg.ac.be/1780-4507/index.php?id=12562

Løvendahl, P., Strandberg, E. & Ismael, A. I. S. (2015). Improved phenotyping of dairy cow fertility traits. Abstract from Second DairyCare Conference 2015, Cordoba, Spain. http://www.dairycareaction.org/uploads/2/4/2/6/24266896/cordoba_proceedings.pdf

Løvendahl, P., Sørensen, L. P., Bjerring, M. & Lassen, J. (2016). Short communication: Genetic variation in choice consistency for cows accessing automatic milking units. Journal of Dairy Science, 99(12), 9857-9863. https://doi.org/10.3168/jds.2016-11287

Løvendahl, P., Strandberg, E. & Ismael, A. I. S. (2016). BIG DATA may be useful to dairy herd managers - after washing and drying. Abstract from Fourth Dairycare Conference, Lissabon, Portugal.

Løvendahl, P. (2017). Detection of carry-over in automated milk sampling equipment. Agroscope Science, (45), 21-24. https://www.agroscope.admin.ch/agroscope/en/home/publications/publication-search/agroscope-science.html

Løvendahl, P., Lauritsen, U., Hansen, L. F., Persson, J. & Sarup, P. M. (2017). Genetic assessment of intra-individual animal variation in milking order of Jersey cows. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Løvendahl, P. & Weisbjerg, M. R. (2017). Lactose in milk - How can lactose concentration data be beneficial in management and breeding?. 99-104. Abstract from ICAR 2017, Edinburgh, United Kingdom.

Løvendahl, P., Difford, G. F., Li, B., Chagunda, M. G. G., Huhtanen, P., Lidauer, M. H., Lassen, J. & Lund, P. (2018). Review: Selecting for improved feed efficiency and reduced methane emissions in dairy cattle. Animal, 12(S2), 336-349. https://doi.org/10.1017/S1751731118002276

Løvendahl, P. & Buitenhuis, A. J. (2022). Genetic and phenotypic variation and consistency in cow preference and circadian use of robotic milking units. Journal of Dairy Science, 105(6), 5283-5295. https://doi.org/10.3168/jds.2021-21593

Løhmann, D., Sørensen, P., Jørgensen, J. & Rosthøj, S. (2014). Most central nervous system tumours in children are diagnosed with little delay after admission. Danish Medical Journal, 61(8), [A4886].

Luo, H., Brito, L. F., Li, X., Su, G., Dou, J., Xu, W., Yan, X., Zhang, H., Guo, G., Liu, L. & Wang, Y. (2021). Genetic parameters for rectal temperature, respiration rate, and drooling score in Holstein cattle and their relationships with various fertility, production, body conformation, and health traits. Journal of Dairy Science, 104(4), 4390-4403. https://doi.org/10.3168/jds.2020-19192

Lund, M. S. & Jensen, J. (1996). Genetic and phenotypic parameters for mastitis resistance, somatic cell production deviance and milk yield in dairy cattle. In Book of Abstract No. 27 of the Annual Meeting of the EAAP (pp. 4)

Lund, M. S. & Jensen, J. (1996). Baysian parameter estimation in a model with mixed polygenic and major gene effects for categorical data via Gibbs sampling. In Book of Abstract No. 2 of the 47th Annual Meeting of EAAP: Poster (pp. 312)

Lund, M. S. (1997). Bayesian Segregation analysis under the mixed inheritance model of continuous an binary traits in dairy cattle. Aarhus Universitet, Det Jordbrugsvidenskabelige Fakultet.

Lund, M. S. & Jensen, C. S. (1998). Multivariate updating of genotypes in a Gibbs sampling algorithm of the mixed inheritance model. In Proc. 6th. WCGALP (Vol. 25, pp. 521-524)

Lund, M. S. & Jensen, C. S. (1998). Blok Gibbs Sampling i en grafisk model for kombineret polygen/enkeltgen nedarvning. Dina Notat, (75), 75.

Lund, M. S., Jensen, J. & Petersen, P. H. (1999). Estimation of genetic and phenotypic parameters for clinical mastitis, somatic cell production deviance and protein yield in dairy cattle using Gibbs sampling. Journal of Dairy Science, 82, 1045-1051.

Lund, M. S., Nielsen, V. H., Bendixen, C., Kargo Sørensen, M. & Jensen, J. (1998). Verdenskongres i husdyrgenetik. Jordbrugsforskning, 2, 19-23.

Lund, M. S., Luttinen, P., Rydhmer, L., Henryon, M. & Jensen, J. (1999). Analysis of litter size and piglet survival using a multivariate model with direct and maternal effects. Journal of Animal Science, 71(1), 132.

Lund, M. S., Guldbrandtsen, B., Dunø, M., Nielsen, V. H., Jensen, H., Svendsen, S., Jensen, J., Sorensen, D. & Bendixen, C. (2000). QTL mapping for Health, Fertility, and Production Traits in Danish Holstein Cattle. In Book of Abstracts of the 51st Annual Meeting EAAP (Vol. 6, pp. 88)

Lund, M. S., Luttinen, P., Rydhmer, L. & Jensen, J. (2000). Genetic parameters for littersize, and peri- and post-natal survival in pigs using a multivariate model including direct and maternal effects. In Book of Abstract of the 51st. Annual Meeting of EAAP (Vol. 65, pp. 45)

Lund, M. S., Sørensen, P., Guldbrandtsen, B. & Sorensen, D. (2001). Multi trait QTL fine mapping using combined linkage disequilibria and linkage analysis. In Book of Abstract of the 52nd. Annual Meeting of EAAP (Vol. 7, pp. 4)

Lund, M. S., Puonti, M., Rydhmer, L. & Jensen, J. (2002). Relationship between litter size and perinatal, and pre-weaning survival in pigs. Animal Science, 74, 217-222.

Lund, M. S., Sørensen, P., Guldbrandtsen, B. & Sorensen, D. (2003). Multi-trait Fine Mapping of Quantitative Trait Loci Using Combined Linkage Disequilibria and Linkage Analysis. Genetics, 163(1), 405-410. http://www.genetics.org/cgi/content/abstract/163/1/405

Lund, M. S. (2001). QTL mapping in longitudinal data. In Proceedings of the 7th Quantitative Trait Locus Mapping and Marker-Assisted Selection Workshop (pp. 25-26)

Lund, M. S., Sørensen, P. & Madsen, P. (2002). Linkage analysis in longitudinal data using random regression. In Proc. 7th WCGALP, 32: CD-rom Communication No 21-28 (pp. 713-716). Editions Quae.

Lund, M. S., Guldbrandtsen, B. & Sorensen, D. (2002). Biometrical Methods for the Analysis of Molecular Information. In J. Jensen (Ed.), Animal Breeding and Genetics in the 21st Century; Status and Visions for Future Research (pp. 31-42). DIAS report - Animal Husbandry Vol. 38

Lund, M. S., Madsen, P. & Sørensen, P. (2003). Fitting curves of QTL-genotypic effects on protein yield over the lactation in Danish Holstein cattle. In Book of Abstracts (pp. 49-)

Lund, M. S. (2003). Modellering af QTL-effekter over tid samt deres vekselvirkning med miljøfaktorer øger statistisk styrke og biologisk forståelse. In Bilag til Temamøde om Biometrianvendelse i planteforskningen (pp. 43-49). DJF intern rapport Vol. 184

Lund, M. S. (2003). Statistical methods for QTL mapping. In Proc. International Symposium on Research Trends and Strategies of Animal Biotechnology (pp. 47-55)

Lund, M. S., Vilki, J., Andersson-Eklund, L., Williams, J. L., Janns, L., Fernandez, A., Viinalass, H., Sabry, A., Schulman, N., Hastings, N. & Eding, H. J. (2004). Strategy and statistical methods in fine mapping QTL affecting clinical mastitis and somatic cell count. In Proc. 9th Quantitative Trait Locus Mapping and Marker-Assisted Selection Workshop (pp. 27). Schriftenreihe Vol. 14

Lund, M. S., Sørensen, P. & Labouriau, R. (2005). QTL (fine) mapping using variance components models for multi-trait, longitudunal and non-normal data. In B. Freyer & K. Biebler (Eds.), Biometrie und Medizinsche Informatik Greifswalder Seminarbereichte (Vol. 10, pp. 1-16). Shaker Verlag.

Lund, M., Sahana, G., Andersson-Eklund, L., Viinalass, H., Hastings, N., Fernandez, A. I., Iso-Touru, T. K., Thomsen, B., Värv, S., Williams, J. L. & Vilkki, J. (2006). Fine mapping of QTL affecting mastitis resistance in Nordic dairy cattle. In Proc. 30th International Conference on Animal Genetics (pp. 97). <Forlag uden navn>. http://drsolucoes.com.br/cbra/downloads/proceedings.pdf

Lund, M. S., Guldbrandtsen, B., Buitenhuis, A. J., Thomsen, B. & Bendixen, C. (2008). Detection of quantitative trait loci in Danish Holstein cattle affecting clinical mastitis, somatic cell score, udder conformation traits, and assessment of associated effects on milk yield. Journal of Dairy Science, 91(9), 4028-4036. https://doi.org/10.3168/jds.2007-0290

Lund, M. S., Sahana, G., Andersson-Eklund, L., Hastings, N., Fernandez, A., Schulman, N., Thomsen, B., Viitala, S., Williams, J. L., Sabry, A., Viinalass, H. & Vilkki, J. (2007). Joint Analysis of Quantitative Trait Loci for Clinical Mastitis and Somatic Cell Score on Five Chromosomes in Three Nordic Dairy Cattle Breeds. Journal of Dairy Science, 90, 5282-5290. https://doi.org/10.3168/jds.2007-0177

Lund, M. S., Sørensen, P., Madsen, P. & Jaffrézik, F. (2008). Detection and modelling of time-dependent QTL in animal populations. Genetics Selection Evolution, 40(2), 177-194. https://doi.org/10.1051/gse:2007043

Lund, M. S. & Dunø, M. (1999). QTL projektet hos kvæg, Kortlægning af gener med indflydelse på aktuelle egenskaber. In Metoder og planlægning i kvægavlen DJF Intern rapport No. 116

Lund, M. S., Luttinen, P., Rydhmer, L. & Jensen, J. (2000). Genetisk analyse af kuldstørrelse, overlevelse og fostre og overlevelse af smågrise. In Aktuelle avlsforsøg med svin (pp. 33-37). Intern DJF-rapport No. 129

Lund, M. S. (2002). Avl for sundhed. In Bilag til Kongres for svineproducenter (pp. 114-116). Landsudvalget for Svin, Danske Slagterier.

Lund, M. S. & Thomasen, J. R. (2008). Genetisk selektion styrker Nordisk kvægavl. Ny KvægForskning, 6(5), 4.

Lund, M. S., Sahana, G., de Koning, D-J., Su, G. & Carlborg, Ö. (2009). Comparision of analysis of the QTLMAS XII common dataset: I: Genomic selection. BMC Proceedings, (Suppl 1). http://www.biomedcentral.com/1753-6561/3/S1/S1

Lund, M. S., Su, G. & Guldbrandtsen, B. (2009). Ny teknologi, der virker i praksis. In Bilag Dansk Kvægs Kongres 2009 (pp. 8-9). Dansk Landbrugsrådgivning, Landscentret; Dansk Kvæg.

Lund, M. S. & Su, G. (2009). Genomic selection in the Nordic countries. In Proceedings of the Interbull International Workshop (Vol. 39, pp. 39-42). Sveriges lantbruksuniversitet. Interbull Bulletin No. 39

Lund, M. S., Su, G., Nielsen, U. S. & Aamand, G. P. (2009). Relation between accuracies of genomic predictions and ancestral links to the training data. In Proceeding of the 2009 Interbull Meeting (Vol. 40, pp. 162-166)

Lund, M. S. & Berg, P. (2010). Genomisk selektion i svineavlen. Dansk Avls Nyt, 4, 8.

Lund, M. S., de Roos, A. P. W., de Vries, A. G., Druet, T., Ducrocq, V., Fritz, S., Guillaume, F., Guldbrandtsen, B., Liu, Z., Reents, R., Schrooten, C., Seefried, M. & Su, G. (2010). Improving Genomic Prediction by EuroGenomics Collaboration. In Abstracts (pp. 150). Gesellschaft für Tierzuchtwissenschaften e. V..

Lund, M. S., de Roos, A. P. W., de Vries, A. G., Druet, T., Ducrocq, V., Fritz, S., Guillaume, F., Guldbrandtsen, B., Liu, Z., Rents, R., Schrooten, C., Seefried, M. & Su, G. (2010). Improving Genomic Prediction by EuroGenomics Collaboration. In CD communication - Proceeding, paper 880 Gesellschaft für Tierzuchtwissenschaften e. V..

Lund, M. S. & Jensen, C. S. (1999). Blocking Gibbs Sampling in the Mixed Inheritance Model using Grahp Theory. Genetics Selection Evolution, 31, 3-24. https://doi.org/10.1051/gse:19990101

Lund, M. S., de Ross, S. PW., de Vries, A. G., Druet, T., Ducrocq, V., Fritz, S., Guillaume, F., Guldbrandtsen, B., Liu, Z., Reents, R., Schrooten, C., Seefried, F. & Guosheng, S. (2011). A common reference population from four European Holstein populations increases reliability of genomic predictions. Genetics Selection Evolution, 43(43), 1-28. https://doi.org/10.1186/1297-9686-43-43

Lund, M. S., Su, G., Janss, L., Guldbrandtsen, B. & Brøndum, R. F. (2014). Genomic evaluation of cattle in a multi-breed context. Livestock Science, 166, 101-110. https://doi.org/10.1016/j.livsci.2014.05.008

Lund, M. S. (2014). How to Improve Genomic Predictions in Small Populations. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/jSOg2jQvAY

Lund, M. S., van den Berg, I., Ma, P., Brøndum, R. F. & Su, G. (2016). Review: How to improve genomic predictions in small dairy cattle populations. Animal, 10(6), 1042-1049. https://doi.org/10.1017/S1751731115003031

Lu, X., Arbab, A. A. I., Abdalla, I. M., Liu, D., Zhang, Z., Xu, T., Su, G. & Yang, Z. (2022). Genetic Parameter Estimation and Genome-Wide Association Study-Based Loci Identification of Milk-Related Traits in Chinese Holstein. Frontiers in Genetics, 12, [799664]. https://doi.org/10.3389/fgene.2021.799664

Lopes, A., Løvendahl, P. & Callesen, H. (2003). Assesment of number of ooocytes retrieved from individual cows can be based on few collections. In Proceedings 19th Scintific Meeting, AETE (pp. 182)

Lopes, A., Larsen, L. H., Ramsing, N., Løvendahl, P., Räty, M., Peippo, J., Greve, T. & Callesen, H. (2005). Respiration rates of individual bovine IVP embryos measured with a novel, non-invasive and rapid microsensor system. Reproduction, 130, 669-679. https://doi.org/10.1530/rep.1.00703

Lopes, A. S., Wrenzycki, C., Ramsing, N. B., Herrmann, D., Niemann, H., Løvendahl, P., Greve, T. & Callesen, H. (2007). Respiration rates correlate with mRNA expression of G6PD and Glut1 genes in individual bovine in vitro-produced blastocysts. Theriogenology, 68(2), 223-236. https://doi.org/10.1016/j.theriogenology.2007.04.055

Lopes, A., Madsen, S. E., Ramsing, N. B., Løvendahl, P., Greve, T. & Callesen, H. (2007). Investigation of respiration of individual bovine embryos produced in vivo and in vitro and correlation with viability following transfer. Human Reproduction, 22(2), 558-566. https://doi.org/10.1093/humrep/del404

Lopes, M. S., Bastiaansen, J. W. M., Janss, L., Bovenhuis, H. & Knol, E. F. (2014). Using SNP markers to estimate additive, dominance and imprinting genetic variance. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/l8lt5Q5qu9

Lopes, M. S., Bastiaansen, J. W. M., Janss, L., Knol, E. F. & Bovenhuis, H. (2015). Estimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic Data. G3: Genes, Genomes, Genetics (Bethesda), 5(12), 2629-2637. https://doi.org/10.1534/g3.115.019513

Lopes, M. S., Bastiaansen, J. W. M., Janss, L., Knol, E. F. & Bovenhuis, H. (2016). Genomic prediction of growth in pigs based on a model including additive and dominance effects. Journal of Animal Breeding and Genetics (Online), 133(3), 180-186. https://doi.org/10.1111/jbg.12195

Long, M. H., Koopmans, D., Berg, P., Rysgaard, S., Glud, R. N. & Soøgaard, D. H. (2012). Oxygen exchange and ice melt measured at the ice-water interface by eddy correlation. Biogeosciences, 9(6), 1957-1967. https://doi.org/10.5194/bg-9-1957-2012

Lohi, O. & Berg, P. (1994). Genetics and statistics in improving fur bearing animals. Applied to Livestock Production, 19, 421-427.

Liu, H., Berg, P. & Sørensen, A. C. (2012). The prediction of allele frequency under selection: A simulation study. In MBG Annual PhD-days 2012 (pp. 19-19).

Liu, Y., Li, J., Løvendahl, P., Schmidt, M., Larsen, K. E. & Callesen, H. (2015). In vitro manipulation techniques of porcine embryos: a meta-analysis related to transfers, pregnancies and piglets. Reproduction, Fertility and Development, 27, 429-439. https://doi.org/10.1071/RD13329

Liu, H., Berg, P., Sørensen, A. C. & Norberg, E. (2012). Changes in allele frequency. Poster session presented at 4th International Conference on Quantitative Genetics, Edinburgh, United Kingdom.

Liu, H., Berg, P., Sørensen, A. C. & Norberg, E. (2012). Changes in allele frequency. In Programme & Book of Abstracts, ICQG2012 (pp. 158-159).

Liu, H., Sørensen, A. C., Meuwissen, T. H. E. & Berg, P. (2013). Allele frequency changes due to hitch-hicking in genomic selection programs. In Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production (pp. 455). Wageningen Academic Publishers. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

Liu, T., Qu, H., Luo, C., Lund, M. S., Su, G. & Shu, D. (2013). Accuracy of genomic prediction in Chinese triple-yellow chicken. In Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production (2013 ed., Vol. 19, pp. 313). Wageningen Academic Publishers. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

Liu, H., Sørensen, A. C., Meuwissen, T. H. E. & Berg, P. (2014). Allele frequency changes due to hitch-hiking in genomic selection programs. Genetics Selection Evolution, 46(8), 1-14. https://doi.org/10.1186/1297-9686-46-8

Liu, T., Qu, H., Luo, C., Lund, M. S., Su, G. & Shu, D. (2013). Accuracy of genomic prediction in Chinese triple-yellow chicken. Poster session presented at 64th Annual Meeting of the European Federation of Anmal Science, Nantes, France. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

Liu, H., Meuwissen, T. H. E., Sørensen, A. C. & Berg, P. (2015). Upweighting rare favourable alleles increases long-term genetic gain in genomic selection programs. Genetics Selection Evolution, 47(19), 1. https://doi.org/10.1186/s12711-015-0101-0

Liu, H., Sørensen, A. C. & Berg, P. (2014). Optimum contribution selection combined with weighting rare favourable alleles increases long-term genetic gain. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/ppfvJcCuPy

Liu, T., Qu, H., Luo, C., Li, X., Shu, D., Lund, M. S. & Su, G. (2014). Genomic selection for the improvement of antibody response to newcastle disease and avian influenza virus in chickens. PLOS ONE, 9(11), 1-6. [e112685]. https://doi.org/10.1371/journal.pone.0112685

Liu, T., Qu, H., Luo, C., Shu, D., Wang, J., Lund, M. S. & Su, G. (2014). Accuracy of genomic prediction for growth and carcass traits in Chinese triple-yellow chickens. BMC Genetics, 15(110), 1-8. https://doi.org/10.1186/s12863-014-0110-y

Liu, H., Henryon, M. & Sørensen, A. C. (2015). Mating strategies using genomic information reduce rates of inbreeding. In Abstracts of the 66th Annual Meeting of the European Federation of Animal Science (Vol. 21, pp. 393-393). Wageningen Academic Publishers. EAAP Book of Abstracts https://doi.org/10.3920/978-90-8686-816-2

Liu, H., Henryon, M. & Sørensen, A. C. (2016). Mating strategies with genomic information reduce rates of inbreeding in animal breeding schemes without compromising genetic gain. Animal, 11(4), 547-555. https://doi.org/10.1017/S1751731116001786

Liu, A., Lund, M. S., Wang, Y., Guo, G., Dong, G., Madsen, P. & Su, G. (2017). Variance components and correlations of female fertility traits in Chinese Holstein population. Journal of Animal Science and Biotechnology, 8(1), [56]. https://doi.org/10.1186/s40104-017-0189-x

Liu, T., Luo, C., Wang, J., Ma, J., Shu, D., Lund, M. S., Su, G. & Qu, H. (2017). Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens. P L o S One, 12(3), [e0173620]. https://doi.org/10.1371/journal.pone.0173620

Liu, A., Wang, Y., Sahana, G., Zhang, Q., Liu, L., Lund, M. S. & Su, G. (2017). Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins. Scientific Reports, 7(1), [8487]. https://doi.org/10.1038/s41598-017-09170-9

Liu, A., Kargo, M., Höglund, J., Zhang, Z., Thomasen, J. R., Christiansen, I. A., Wang, Y. & Su, G. (2018). Genotype by environment interaction for female fertility traits under conventional and organic production systems in Danish Holsteins. Paper presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Liu, A., Wang, Y., Lund, M. S. & Su, G. (2018). Genome-wide association study for female fertility traits in Chinese Holstein population. Abstract from 5th International Conference on Quantitative Genetics, Madison, United States.

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. https://doi.org/10.1038/s41437-019-0246-7

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, 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

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

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

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

Liu, T., Luo, C., Ma, J., Wang, Y., Shu, D., Qu, H. & Su, G. (2022). Including dominance effects in the prediction model through locus-specific weights on heterozygous genotypes can greatly improve genomic predictive abilities. Heredity, 128(3), 154-158. https://doi.org/10.1038/s41437-022-00504-6

Lin, L., Luo, Y., Sørensen, P., Prætorius, H., Vajta, G., Callesen, H., Pribenszky, C., Bolund, L. & Kristensen, T. N. (2014). Effects of high hydrostatic pressure on genomic expression profiling of porcine parthenogenetic activated and cloned embryos. Reproduction, Fertility and Development, 26, 469-484. https://doi.org/10.1071/RD13037

Lillehammer, M., Ødegård, J., Madsen, P., Gjerde, B., Refstie, T. & Rye, M. (2013). Survival, growth and sexual maturation in Atlantic salmon exposed to infectious pancreatic necrosis: A multi-variate mixture model approach. Genetics Selection Evolution, 45(8). https://doi.org/10.1186/1297-9686-45-8

Lidauer, M., Mäntysaari, E. A., Strandén, I., Pösö, J., Pedersen, J., Nielsen, U. S., Johansson, K., Eriksson, J. -Å., Madsen, P. & Aamand, G. P. (2006). Random heterosis and recombination loss effects in a multibreed evaluation for Nordic Red Dairy Cattle. In Book of abstracts: CD communication 24-02, 4 pp (pp. 224). WCGALP. http://www.wcgalp8.org.br/wcgalp8/articles/paper/24_1031-1850.pdf

Lidauer, M., Pedersen, J., Mäntysaari, E. A., Strandén, I., Madsen, P., Nielsen, U. S., Eriksson, J. -Å. & Aamand, G. P. (2006). Joint Nordic Test Day Model: Evaluation Model. In Proceeding of The 2006 Interbull Meeting: Bulletin No. 35 (pp. 103-107). International Bull Evaluation Service.

Lidauer, M. H., Pösö, J., Pedersen, J., Lassen, J., Madsen, P., Mäntysaari, E. A., Nielsen, U. S., Eriksson, J-Å., Johansson, K., Pitkänen, T., Strandén, I. & Aamand, G. P. (2015). Across-country test-day model evaluations for Holstein, Nordic Red Cattle, and Jersey. Journal of Dairy Science, 98(2), 1296-1309. https://doi.org/10.3168/jds.2014-8307

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