Aarhus Universitets segl

Publikationer

Peer-reviewed publikationer ved QGG

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Madsen, M. D., Madsen, P., Nielsen, B. J., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Genetic variance in macro-environmental sensitivity in growth rate in Danish Duroc pigs. Poster-session præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
Madsen, P., Milkevych, V., Gao, H., Christensen, O. F. & Jensen, J. (2018). DMU - A Package for Analyzing Multivariate Mixed Models in Quantitative Genetics and Genomics. Poster-session præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.
Madsen, M. D., Madsen, P., Nielsen, B. J., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Adjusting for Macro-Environmental Sensitivity in Growth rate of Danish Landrace and Duroc Pigs. Abstract fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.
Madsen, M. D., van der Werf, J., Börner, V., Mulder, H. A. & Clark, S. (2021). Estimation of macro- and micro-genetic environmental sensitivity in unbalanced datasets. Animal, 15(12), Artikel 100411. https://doi.org/10.1016/j.animal.2021.100411
Madsen, C. K., Hama, J., Nielsen, B., Janss, L., Ottosen, C.-O., Ramstein, G. & Brinch-Pedersen, H., (2026). Forædling af planter med forbedrede klimaeffekter, Nr. 2025-0896873, 24 s., jan. 09, 2026. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Maddox-Hyttel, P., Alexopoulus, N. I., Vajta, G., Lewis, I., Rogers, P., Cann, L., Callesen, H., Tveden-Nyborg, P. & Trounson, A. (2003). Immunohistochemical and ultrastructural characterization of the initial post-hatching development of bovine embryos. Reproduction, 125(4), 607-623.
Maddox-Hyttel, P., Gjørret, J. O., Vajta, G., Alexopoulos, N. I., Lewis, I., Trounson, A., Viuff, D., Laurincik, J. & Thomsen, P. D. (2003). Morphological assessemnt of pre-implantation embryo quality in cattle. Reproduction, 61, 103-116.
Maddox-Hyttel, P., Hunter, R. H., Vajta, G. & Callesen, H. (2004). Ultrastructure and actin distribution after fractionation of bovine oocytes for somatic cell nuclear transfer. Abstract fra International Congress on Animal Reproduction, ICAR, Porto Seguro, Brasilien.
Macháty, Z., Vajta, G., Bárándi, ZS. & Solti, L. (1992). Developmental potential of biopsied preimplantation bovine embryos produced in vitro. ARTA Assi. Reprod. Tech. and Androl, 3, 249-256.
Macháty, Z., Páldi, A., Csáki, T., Varga, ZS., Kiss, I., BáraándiI, ZS. & Vajta, G. (1993). Biopsy and sex determination by PCR of IVF bovine embryos. Journal of Reproduction and Fertility, 98, 467-470.
Macháty, Z., Páldi, A., Solti, L. & Vajta, G. (1992). Blastomere biopsy and sex determination in bovine IVF embryos. I Proc. of the 12th  International Congress on Animal Reproduction (s. 715-717)
Macháty, Z., Vajta, G., Bárandi, ZS. & Solti, L. (1992). Biopsy of early cattle embryos produced by IVF. Magyar Allatorvosok Lapja, 47, 610-614.
Macedo, F. L., Christensen, O. F., Astruc, J.-M., Aguilar, I., Masuda, Y. & Legarra, A. (2020). Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups. Genetics, selection, evolution : GSE, 52(1), Artikel 47. https://doi.org/10.1186/s12711-020-00567-1
Ma, P., Su, G. & Zhang, Q. (2012). Genomic Selection in Cattle Breeding. I MBG Annual PhD-days 2012 (s. 17-17).
Ma, P., Brøndum, R. F., Zhang, Q., Lund, M. S. & Su, G. (2012). Comparison of methods to impute missing SNP markers in Swedish and Finnish Red Dairy Cattle population. Poster-session præsenteret på 4th International Conference on Quantitative Genetics, Edinburgh, Storbritannien.
Ma, P., Lund, M. S., Nielsen, U. S., Pedersen, G. A., Sørensen, A. C. & Su, G. (2014). Bias of genetic trend of genomic predictions based on both real dairy cattle and simulated data. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/dftsTtNZeO
Ma, P., Lund, M. S., Nielsen, U. S., Pedersen, G. A., Sørensen, A. C. & Su, G. (2014). Bias of genetic trend of genomic predictions based on both real dairy cattle and simulated data. Poster-session præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/dftsTtNZeO
Ma, P., Lund, M. S. & Su, G. (2015). Reliabilities in genomic prediction. Poster-session præsenteret på 66th Annual Meeting of the European Federation of Animal Science, Warsaw, Polen. https://doi.org/10.3920/978-90-8686-816-2
Ma, P., Su, G. & Lund, M. S. (2015). Strategies to reduce the bias of model reliability in genomic prediction. I Book of Abstract of the 66th Annual Meeting of the European Federation of Animal Science (Bind 21, s. 258-258). https://doi.org/10.3920/978-90-8686-816-2
Ma, X., Li, P. H., Zhu, M. X., He, L. C., Sui, S. P., Gao, S., Su, G. S., Ding, N. S., Huang, Y., Lu, Z. Q., Huang, X. G. & Huang, R. H. (2018). Genome-wide association analysis reveals genomic regions on Chromosome 13 affecting litter size and candidate genes for uterine horn length in Erhualian pigs. Animal, 12(12), 2453-2461. https://doi.org/10.1017/S1751731118000332
Ma, P., Huang, J., Gong, W., Li, X., Gao, H., Zhang, Q., Ding, X. & Wang, C. (2018). The impact of genomic relatedness between populations on the genomic estimated breeding values. Journal of Animal Science and Biotechnology, 9(1), Artikel 64. https://doi.org/10.1186/s40104-018-0279-4
Lyngkjær, M. F., Albrechtsen, M. T., Christiansen, P., Gjetting, T., Hagedorn, P., Johansen, E. & Olesen, K. L. (2005). Cell specific transcript profiling of plant- pathogen interaction. I Proc. 2nd Australian Model Legume Workshop: Application to Crop and Pasture Improvement (s. 6)
Luukkonen, D. R., Prince, H. H. & Mao, I. L. (1998). Evaluation of pheasant crowing rates as a population index. Journal of Wildlife Management, 61(4), 13-38.
Luo, H., Xu, W., Liu, A., Li, X., Liu, L. & Wang, Y. (2018). Genome-wide association study for rectal temperature in Chinese Holstein population. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Artikel 587 http://www.wcgalp.org/system/files/proceedings/2018/genome-wide-association-study-rectal-temperature-chinese-holstein-population.pdf
Luo, H., Li, X., Hu, L., Xu, W., Chu, Q., Liu, A., Guo, G., Liu, L., Brito, L. F. & Wang, Y. (2021). Genomic analyses and biological validation of candidate genes for rectal temperature as an indicator of heat stress in Holstein cattle. Journal of Dairy Science, 104(4), 4441-4451. https://doi.org/10.3168/jds.2020-18725
Lundbye-Christensen, S. & Labouriau, R. (2000). An application of state-space models to a study of respiratory diseases in Danish Calves. Poster-session præsenteret på 6th word meeting of the International Society for Bayesian Analysis, section Bayesian Statistics in Public policy and Government.
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. I Book of Abstract of the 51st. Annual Meeting of EAAP (Bind 65, s. 45)
Lund, M. S. (2001). QTL mapping in longitudinal data. I Proceedings of the 7th Quantitative Trait Locus Mapping and Marker-Assisted Selection Workshop (s. 25-26)
Lund, M. S., Sørensen, P. & Madsen, P. (2002). Linkage analysis in longitudinal data using random regression. I Proc. 7th WCGALP, 32: CD-rom Communication No 21-28 (s. 713-716). Editions Quae.
Lund, M. S., Guldbrandtsen, B. & Sorensen, D. (2002). Biometrical Methods for the Analysis of Molecular Information. I J. Jensen (red.), Animal Breeding and Genetics in the 21st Century; Status and Visions for Future Research (s. 31-42)
Lund, M. S. (2003). Statistical methods for QTL mapping. I Proc. International Symposium on Research Trends and Strategies of Animal Biotechnology (s. 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. I Proc. 9th Quantitative Trait Locus Mapping and Marker-Assisted Selection Workshop (s. 27)
Lund, M. S., Sørensen, P. & Labouriau, R. (2005). QTL (fine) mapping using variance components models for multi-trait, longitudunal and non-normal data. I B. Freyer & K. Biebler (red.), Biometrie und Medizinsche Informatik Greifswalder Seminarbereichte (Bind 10, s. 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. I Proc. 30th International Conference on Animal Genetics (s. 97). <Forlag uden navn>. http://drsolucoes.com.br/cbra/downloads/proceedings.pdf
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., Luttinen, P., Rydhmer, L. & Jensen, J. (2000). Genetisk analyse af kuldstørrelse, overlevelse og fostre og overlevelse af smågrise. I Aktuelle avlsforsøg med svin (s. 33-37)
Lund, M. & Kristensen, T. N. (2008). Gymnasieelever forsker for en dag. Uddannelsesavisen, 10-11.
Lund, M. S. (2002). Avl for sundhed. I Bilag til Kongres for svineproducenter (s. 114-116). Landsudvalget for Svin, Danske Slagterier.
Lund, M. S., Su, G. & Guldbrandtsen, B. (2009). Ny teknologi, der virker i praksis. I Bilag Dansk Kvægs Kongres 2009 (s. 8-9). Dansk Landbrugsrådgivning, Landscentret; Dansk Kvæg.
Lund, M. S. & Su, G. (2009). Genomic selection in the Nordic countries. I Proceedings of the Interbull International Workshop (Bind 39, s. 39-42). Sveriges lantbruksuniversitet.
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. I Proceeding of the 2009 Interbull Meeting (Bind 40, s. 162-166)
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. I Abstracts (s. 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. I CD communication - Proceeding, paper 880 Gesellschaft für Tierzuchtwissenschaften e. V..
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. (2014). How to Improve Genomic Predictions in Small Populations. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/jSOg2jQvAY
Lund, T. B., Christensen, T., Denver, S., Olsen, S. B., Nielsen, H. M., Kargo, M. & Sandøe, P. (2025). What Breeding Goal Should Organic Dairy Farmers Pursue? Results from a Willingness-To-Pay Study Among Consumers in Denmark, Germany, and Sweden. I Book of Abstracts of the 76th Annual Meeting of the European Federation of Animal Science (Bind 39, s. 730)
Lübberstedt, T., Melchinger, A. E., Fähr, S., Klein, D., Dally, A. & Westhoff, P. (1998). QTL mapping in testcrosses of flint lines of maize: III. Crop Science, 38, 1278-1289.
Lübberstedt, T., Klein, D. & Melchinger, A. E. (1998). Comparative QTL mapping of resistance to Ustilago maydis in four populations of European flint maize. Theoretical and Applied Genetics, 97, 1321-1330.
Lübberstedt, T. (2002). QTL mapping for forage traits. I S. M. Jain, B. S. Ahloowalia & D. S. Brar (red.), Molecular techniques in crop improvement (s. 585-600). Kluwer Academic Publishers.
Lübberstedt, T., Xia, X. C., Xu, M. L., Kuntze, L. & Melchinger, A. E. (1998). Inheritance of resistance to SCMV and MDMV in European maize. I Proceeding of XVth EUCARPIA 1998 General Congress: Genetics and breeding for crop quality and resistance (s. 52-52)
Lübberstedt, T., Vuylsteke, M., Dußle, C., Kuiper, M. & Melchinger, A. E. (1999). Untersuchungen zur genetischen Diversität zwischen europäischen Maisinzucht-linien mit AFLPs, RFLPs, RAPDs und SSRs - ein Vergleich verschiedener Markersysteme. I Bericht der Arbeitstagung 1998 der Vereinigung österreichischer Pflanzenzüchter (s. 45-49)
Lübberstedt, T. (2003). New options in ryegrass breeding by implementation of genomics. I Vorträge für Pflanzenzüchtung 59 (s. 27-36)