Publikationer

Peer-reviewed publikationer ved QGG

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Bölling, D., Christensen, P. & Jensen, J. (2002). Variance components for male fertility in cattle. I Proc. 7th WCGALP, 30: CD-rom Communication No 08-18 (s. 701-704). Editions Quae.

Su, G., Lund, M. S. & Sorensen, D. (2004). Variance components for litter-size and survival in Danish Landrace and Yourkshire pigs. I Book of Abstracts (s. 42)

Su, G., Kjaer, J. B. & Sørensen, P. (2005). Variance components and selection response for feather pecking behavior in laying hens. Poultry Science, 84, 14-21. http://ps.fass.org/cgi/content/abstract/84/1/14?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&searchid=1&FIRSTINDEX=0&sortspec=relevance&volume=84&firstpage=14&resourcetype=HWCIT

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), Artikel 56. https://doi.org/10.1186/s40104-017-0189-x

Su, G., Sorensen, D. & Lund, M. S. (2008). Variance and covariance components for liability of piglet survival during different periods. Animal, 2(2), 184-189. https://doi.org/10.1017/S1751731107001115

Kristensen, K. & Deneken, G. (2006). Variability in measurements and notes of cotyledons in winter oil seed rape.

Kristensen, L. (2014). Vancouver 2014 - World Congress on Genetics Applied to Livestock Production (WCGALP). Dansk Holstein, 2014(4), 60-62.

Overgaard, J., Kristensen, T. N. & Sørensen, J. G. (2012). Validity of Thermal Ramping Assays Used to Assess Thermal Tolerance in Arthropods. PLoS One, 7(3), e32758. https://doi.org/10.1371/journal.pone.0032758.g001

Gislum, R. & Boelt, B. (2009). Validity of accessible critical nitrogen dilution curves in perennial ryegrass for seed production. Field Crops Research, 111(1-2), 152-156. https://doi.org/10.1016/j.fcr.2008.11.009

Hansen, B. K., Møller, S. H., Berg, P. & Bækgaard, H. (2009). Validering af metode til subjektiv huldvurdering. I Faglig Årsberetning 2008 (s. 129-135). Pelsdyrerhvervets Forsøgs- og ForskningsCenter.

Sørensen, D. D., Jørgensen, E. & Pedersen, L. J. (2011). Validation techniques for thermography in veterinary medicine. Poster-session præsenteret på InfraMation, Ballys, Las Vegas, USA.

Vilkki, J., Dolezal, M., Sahana, G., Bagnato, A., Tafer, H., Iso-Touru, T., Panitz, F., Santus, E. & Soller, M. (2013). Validation of QTL affecting masistis in dairy cattle. I Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production. 2013. (2013 udg., Bind 19, s. 538). Wageningen Academic Publishers. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

Janss, L., Gregersen, V. R., Bendixen, C. & Lund, M. S. (2008). Validation of genomic predictions in pigs using medium-dense marker coverage. I Book of Abstracts of the 59th Annual Meeting of the European Association for Animal Production, EAAP (Bind 14, s. 18). Wageningen Academic Publishers.

Andersen, J. R., Schrag, T., Melchinger, A. E., Zein, I. & Lübberstedt, T. (2005). Validation of Dwarf8 polymorphisms associated with flowering time in elite European inbred lines of maiz (Zea mays L.). Theoretical and Applied Genetics, 111(2), 206-217. https://doi.org/10.1007/s00122-005-1996-6

Uzarowska, A., Dionisio, G., Sarholz, B., Piepho, H.-P., Xu, M., Ingvardsen, C. R., Wenzel, G. & Lübberstedt, T. (2009). Validation of candidate genes putatively associated with resistance to SCMV and MDMV in maize (Zea mays L.) by expression profiling. BMC Plant Biology, 9(15). https://doi.org/10.1186/1471-2229-9-15

Jonavičienė, K., Abeynayake, S., Brazauskas, G. & Asp, T. (2014). Validation of candidate genes expression profiles during cold acclimation and freezing in perennial ryegrass. I Quantitative Traits Breeding for Multifunctional Grasslands and Turf (s. 273-278). Springer. https://doi.org/10.1007/978-94-017-9044-4_38

Höglund, J., Sahana, G., Guldbrandtsen, B. & Lund, M. S. (2014). Validation of Associations for Female Fertility Traits in Nordic Holstein, Nordic red and Jersey Dairy Cattle. BMC Genetics, 15(8), 1-7. https://doi.org/10.1186/1471-2156-15-8

Lassen, J., Kargo Sørensen, M. & Madsen, P. (2005). Validation of an approximate multitrait model for prediction of breeding values in dairy cattle - a stochastic simulation study. I Proc. EAAP, Book of abstracts 11 (s. 192)

Madsen, P., Kargo Sørensen, M. & Mark, T. (2001). Validation and comparison of methods to estimate (co)variance components for MACE. I Interbull Bulletin No. 27 (s. 75-79)

Boelt, B. (1999). Vær varsom med tidlig høst i sildige sorter af alm. rajgræs. Tidsskrift for frøavl, (8), 4-5.

Boelt, B. (1997). Vær meget opmærksom på rajgræs frømarkens udvikling. Erhvervsjordbruget - Landbonyt, 10, 18-19.

Hovmøller, M. S., Thomsen, I. K., Kristensen, K. & Østergård, H. (2006). Værdien af sygdomsresistens i økologisk dyrket vårbyg. I Sammendrag af indlæg (s. 344-346). Aarhus University.

Hansen, E. M., Thomsen, I. K., Pedersen, A. R. & Hansen, P. K. (2008). Vælg dyrkningsmetoder, som gavner kvælstofforsyningen. I Sammendrag af indlæg: Plantekongres 2008 (s. 25-27). Aarhus University. http://www.lr.dk/planteavl/informationsserier/info-planter/plk08_a3_2_e_m_hansen.pdf

Gislum, R. (2005). Vækstregulering og kvælstof - hvordan hænger det sammen? Froeavleren, 4, 56-57.

Nielsen, V. H., Møller, S. H., Hansen, B. K. & Berg, P. (2004). Vækstkurver ved individuel fordring af minkhvalpe i vækstperioden. I Bilag til temamøde: Forskning i relation til praktisk minkproduktion (s. 17-21)

Bornman, J. (1991). UV radiation as an environmental stress in plants. Journal of Photochemistry and Photobiology, B: Biology, 8, 337-340.

Sundby-Emanuelsson, C., Cen, Y.-P., Ålenius, C. & Bornman, J. (1994). UV-B radiation and the photosynthetic process. I R. H. Biggs & M. E. B. Joyner (red.), Stratospheric Ozone Depletion/UV-B Radiation in the Biosphere (Bind 18, s. 345-348). Springer.

Kalbin, G., Hidema, J., Brosché, M., Kumagai, T., Bornman, J. & Strid, Å. (2001). UV-B-induced DNA damage and expression of defence genes under UV-B stress: tissue-specific molecular marker analysis in leaves. Plant, Cell and Environment, 24, 983-990.

Long, E. M., Romay, M. C., Ramstein, G., Buckler, E. S. & Robbins, K. R. (2023). Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassava. Frontiers in Plant Science, 13, Artikel 1041925. https://doi.org/10.3389/fpls.2022.1041925

Vestergaard, M., Spleth, P., Stephansen, R., Kargo, M., Ettema, J. F. & Fogh, A. (2020). Utilizing beef x dairy crossbreds for beef production – Danish experiences. I Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science (Bind 26, s. 317). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-900-8

Deleuran, L. C. & Boelt, B. (2000). Utilization of forage cuts in organic grass seed production. I K. Søegaard, C. Ohlsson, N. J. Hutchings & T. Kristensen (red.), Grassland farming. Balancing environmental and economic demands. Proceedings of the 18th General Meeting of the European Grassland Federation (s. 552-555)

Kantanen, J., Løvendahl, P., Strandberg, E., Eythorsdottir, E., Li, M.-H., Kettunen-Præbel, A., Berg, P. & Meuwissen, T. (2015). Utilization of farm animal genetic resources in a changing agro-ecological environment in the Nordic countries. Frontiers in Genetics, 6, 1-9. Artikel 52. https://doi.org/10.3389/fgene.2015.00052

Hornshøj, H., Stengaard, H., Panitz, F. & Bendixen, C. (2003). Using thermodynamics to improve prediction of non-target binding activity of oligonucleotides in microarray-based gene expression studies. I Proceedings 6th International Meeting of the Microaaray Gene Expression Data Society (s. 44)

Kazemi Naeini, M., Akbarzadeh, M., Kazemi, I., Speed, D. & Hosseini, S. M. (2024). Using the Bayesian variational spike and slab model in a genome-wide association study for finding associated loci with bipolar disorder. Annals of Human Genetics, 88(3), 212-246. https://doi.org/10.1111/ahg.12538

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. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/l8lt5Q5qu9

Hartfield, M., Poulsen, N. A., Guldbrandtsen, B. & Bataillon, T. (2021). Using singleton densities to detect recent selection in Bos taurus. Evolution Letters, 5(6), 595-606. https://doi.org/10.1002/evl3.263

Pedersen, L. D., Sørensen, M. K., Berg, P., Andersen, J. V. & Sørensen, A. C. (2010). Using Sexed Semen Has Limited Effect On Genetic Gain In A Dairy Cattle Breeding Scheme Using Genomic Selection. I Abstracts (s. 21). Gesellschaft für Tierzuchtwissenschaften e. V..

Pedersen, L. D., Sørensen, M. K., Berg, P., Andersen, J. V. & Sørensen, A. C. (2010). Using Sexed Semen Has Limited Effect On Genetic Gain In A Dairy Cattle Breeding Scheme Using Genomic Selection. I CD communication - Proceedings, paper 714 Gesellschaft für Tierzuchtwissenschaften e. V..

van den Berg, I., Boichard, D., Guldbrandtsen, B. & Lund, M. S. (2016). Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study. G3: Genes, Genomes, Genetics, 6(8), 2553-2561. https://doi.org/10.1534/g3.116.027730

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

Balbuena, L., Peters, E. & Speed, D. (2023). Using polygenic risk scores to investigate the evolution of smoking and mental health outcomes in UK biobank participants. Acta Psychiatrica Scandinavica, 148(5), 447-456. https://doi.org/10.1111/acps.13601, https://doi.org/10.1111/acps.13601

Younesi, N., Shariati, M., Zerehdaran, S., Noghabi, M. J. & Løvendahl, P. (2017). Using nonlinear quantile regression to describe the milk somatic cell count of Iranian Holstein cows. 262. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland.

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 fra International Symposium of the Society for Plant Breeding (GPZ), Tulln, Østrig. https://gpz2020.boku.ac.at/wp-content/uploads/2020/03/06_Sarup.pdf

Jouffe, V., Rowe, S., Liaubet, L., Buitenhuis, B., Hornshøj, H., SanCristobal, M., Mormède, P. & de Koning, DJ. (2009). Using microarrays to identify positional candidate genes for QTL: the case study of ACTH response in pigs. BMC Proceedings, (4:S14), 1-10. https://doi.org/10.1186/1753-6561-3-S4-S14

Edriss, V., Greve-Pedersen, M., Jensen, C. S. & Jensen, J. (2015). Using Massive Multivariate NIRS Data in Ryegrass. I Final Program, Abstract & Exhibit Guide (s. 290-290) https://pag.confex.com/pag/xxiii/webprogram/Paper15885.html

Edriss, V., Greve-Pedersen, M., Jensen, C. S. & Jensen, J. (2015). Using Massive Multivariate NIRS Data in Ryegrass. Poster-session præsenteret på Plant and Animal Genome Conference XIII, San Diego, USA. https://pag.confex.com/pag/xxiii/webprogram/Paper15885.html

Høj-Edwards, S. M., Jiang, L., Madsen, P. & Sørensen, P. (2012). Using Kegg Pathways and Expression Studies and Stuff for Genomic Partitioning. Poster-session præsenteret på 4th International Conference on Quantitative Genetics, Edinburgh, Storbritannien.

Høj-Edwards, S. M., Skarman, A., Jiang, L., Madsen, P., Su, G. & Sørensen, P. (2011). Using KEGG pathway information for genomic partitioning. Poster-session præsenteret på Functional Genomics and Systems Biology 2011, Hinxton, Cambridge, UK, Storbritannien.

Edwards, S. M., Skarman, A., Jiang, L., Madsen, P., Su, G. & Sørensen, P. (2012). Using KEGG pathway information for genomic partitioning. I MBG Annual PhD-days 2012 (s. 18-18).

Guldbrandtsen, B. (2006). Using Graphical Models to MAP QTL. Abstract fra QTL/MAS-7.

Saedi, N., Lund, M. S. & Karaman, E. (2023). Using genomic markers and microbiome data to predict methane emissions from Holstein cows. I Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-936-7

Webb, K. J., Skøt, L., Mizen, S., Parniske, M., Jørgensen, B. & Nicholson, M. (1998). Using EMS mutagenesis and promoter trapping to search for mutants and promoters in symbiotic interactions of Lotus japonicus. I Abstract of the First International Lotus japonicus Workshop

Hsu, Y. H. H., Pintacuda, G., Liu, R., Nacu, E., Kim, A., Tsafou, K., Petrossian, N., Crotty, W., Suh, J. M., Riseman, J., Martin, J. M., Biagini, J. C., Mena, D., Ching, J. K. T., Malolepsza, E., Li, T., Singh, T., Ge, T., Egri, S. B. ... Wellcome Trust Case Control Consortium (2023). Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia. iScience, 26(5), Artikel 106701. https://doi.org/10.1016/j.isci.2023.106701

Liu, A., Lund, M. S., Boichard, D., Fritz, S., Karaman, E., Wang, Y. & Su, G. (2018). Using additional single nucleotide polymorphisms selected from whole genome sequence data for genomic prediction in Danish Jersey. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Artikel 586 http://www.wcgalp.org/system/files/proceedings/2018/using-additional-single-nucleotide-polymorphisms-selected-whole-genome-sequence-data-genomic.pdf

Kristensen, K. & Rasmussen, I. A. (1997). Using a Bayesian Network for setting up a Decision Support for effect of Fungal Diseases in Malting Barley. I Abstracts of the XXVII International Biometrical Colloquium (s. 24-25). The Polish Biometric Society.

Foldager, L. (2000). Usikkerhed på optimal kvælstofmængde - variansanalyse. Internal Report Nr. 2000-05

Foldager, L. (2001). Usikkerhed på optimal kvælstofmængde - Bootstrap metoder. Internal Report Nr. 2001-01

Olesen, M. H., Carstensen, J. M. & Boelt, B. (2009). Use of VIS-NIR System combined with Multispectral Image Analysis in Spinach Seed. I Abstract Book. NIR-2009 Breaking the Dawn. The 14th International Conference on Near Infrared Spectroscopy (s. 11)

Olesen, M. H., Carstensen, J. M. & Boelt, B. (2010). Use of VIS-NIR system combined with multispectral image analysis in Spinach (Spinacia oleracea L.) seed. I S. Saranwong, S. Kasemsumran, W. Thanapase & P. Williams (red.), Near Infrared Spectroscopy: Proceedings of the 14th International Conference (s. 21-25). IM Publications.

Hegelund, L., Sørensen, J. T., Kjær, J. & Kristensen, I. S. (2005). Use of the range area in organic egg production systems: Effect of climatic factors, flock size, age and artificial cover. British Poultry Science, 46, 1-8. https://doi.org/10.1080/00071660400023813

Skøt, L., Webb, K. J., Nicholson, M., Jørgensen, B. & Mizen, S. (1998). Use of T-DNA tagging to identify plant genes involved in symbiotic nitrogen fixation. I Proceedings of the 16th North American Conference on Symbiotic Nitrogen Fixation (s. 1)

Jensen, J., Madsen, P. & Sorensen, D. A. (1992). Use of supercomputing in quantitative genetics. I Supercomputing Annual Report UNI-C, Lyngby.

Andersen, J. V., Sørensen, A. C., Sørensen, M. K. & Berg, P. (2008). Use of sexed semen in commercial herds has minor effect on genetic trend, but reduces genetic lag in dairy cattle breeding schemes. I Book of Abstracts of the 59th Annual Meeting of the European Association for Animal Production, EAAP (Bind 14, s. 269). Wageningen Academic Publishers.

Ødegaard, J., Madsen, P., Gianola, D., Klemetsdal, G., Jensen, J., Heringstad, B. & Korsgaard, I. R. (2005). Use of SCC in genetic selection for reduced incidence of mastitis: A mixture model approach. I Proc. 4th International Masistis Conference (s. 564-569). Wageningen Academic Publishers.

Quint, M., Dußle, C. M., Melchinger, A. E. & Lübberstedt, T. (2002). Use of RGAs in plant breeding - a case study on SCMV resistance in maize. I Proceeding Plant, Animal & Microbe Genomes X Conference http://www.intl-pag.org/pag/10/abstracts/PAGX_P438.html

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 Variance Component Estimation and Genetic Evaluation: A Simulation Study. G3: Genes, Genomes, Genetics, 9(9), 2935-2940. https://doi.org/10.1534/g3.119.400484

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

Hegelund, L., Kjær, J. B., Kristensen, I. S. & Sørensen, J. T. (2002). Use of outdoor area by hens in commercial organic egg production systems: Effect of climatic factors and cover. I Proceedings of the 11th European Poultry Conference (s. 141)

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), Artikel e0232665. https://doi.org/10.1371/journal.pone.0232665

Jensen, J. (2002). Use of Indicator Traits, QTL, DNA-markers in Genetic Improvement. I Proc. 16th Internaional WJCB Conference: Session IV (s. 3)

Marete, A. G., Mujibi, F., Ojango, J., Rao, J., Kihara, A., Baltenweck, I., Poole, J., Rege, E., Gondro, C., Gibson, J., Mwai, O. & Karanja, T. (2014). Use of high density SNP genotypes to determine the breed composition of cross bred dairy. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://asas.confex.com/asas/WCGALP14/webprogram/Paper10026.html

Sørensen, P. & Badsberg, J. H. (2004). Use of graphical gaussian models to infer relationshops between genes. I Book of Abstracts (s. 5)

Nielsen, B., Ostersen, T., Su, G. & Christensen, O. F. (2010). Use of Genomic SNP Information in Pig Breeding. I Abstracts (s. 46). Gesellschaft für Tierzuchtwissenschaften e. V..

Nielsen, B., Ostersen, T., Su, G. & Christensen, O. F. (2010). Use of Genomic SNP Information in Pig Breeding. I CD communication - Proceedings, paper 522 Gesellschaft für Tierzuchtwissenschaften e. V..

Yang, Y., Christensen, O. F. & Sorensen, D. (2011). Use of genomic models to study genetic control of environmental variance. Genetics Research, 93(2), 125-138. https://doi.org/10.1017/S0016672311000012

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.

Chu, T. T., Bastiaansen, J. WM., Berg, P., Rome, H. J. S., Marois, D., Henshall, J. & Jensen, J. (2019). 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, Artikel 50. https://doi.org/10.1186/s12711-019-0493-3

Sahana, G. (2014). Use of full genome sequence information in fine mapping of QTL. EAAP Book of Abstracts, 20, 165-165.

Kargo Sørensen, M., Sørensen, C., Berg, P. & Borchersen, S. (2005). Use of EVA in Dairy Breeding Schemes. Sustainable Breeding in the Nordic Red Dairy Breeds, 34-40.

Bolormaa, S., Haile-Mariam, M., Marett, L., Miglior, F., Baes, C. F., Schenkel, F. S., Connor, E. E., Manzanilla Pech, C. I. V., Wall, E., Coffey, M., Goddard, M., MacLeod, I. & Pryce, J. E. (2023). Use of dry-matter intake recorded at multiple time periods during lactation increases the accuracy of genomic prediction for dry-matter intake and residual feed intake in dairy cattle. Animal Production Science, 63(11), 1113-1125. Artikel AN23022. https://doi.org/10.1071/AN23022

Fang, L., Sahana, G., Ma, P., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. (2017). Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds. BMC Genomics, 18(1), 604. Artikel 604. https://doi.org/10.1186/s12864-017-4004-z

Lauridsen, C., Halekoh, U. & Jørgensen, H. (2006). Use of a rat model to elucidate impact of organic food on health. I Proc. European Joint Organic Congress (s. 610-611)

Holm, L.-E., Bendixen, C., Danzmann, R., Ferguson, M. M., Sakamoto, T., Gharbi, K., Guyomard, R., Powell, R., Taggart, J., Cairney, M. & Høyheim, B. (2000). Use of a genetic map from the SALMAP project to localise the NRAMP-ß gene on the rainbow trout (Oncorhynchus mykiss) genetic linkage map. I Conference Abstract Book of the 27th. ISAG conference (s. 30)

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

Holm, L.-E. & Bendixen, C. (1996). Usefullness of microsatellites from the ISAG comparison test for parentage control in Danish Black and White cattle. I Animal Genetics 27, Suppl. 2 (s. 21)

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

Gislum, R., Wollenweber, B., Boelt, B. & Jensen, E. S. (2003). Uptake and distribution of nitrogen in perennial ryegrass: effect of additional applications at vegetative growth. Journal of Plant Nutrition, 26(12), 2375-2389.

Jové-Juncà, T., Crespo-Piazuelo, D., Hernández-Banqué, C., González-Rodríguez, O., Fang, L., Quintanilla, R. & Ballester, M. (2025). Unveiling regulatory variants in the blood transcriptome and their association with immunity traits in pigs. Frontiers in Immunology, 16, Artikel 1582982. https://doi.org/10.3389/fimmu.2025.1582982

Barth, S. & Lübberstedt, T. (1998). Untersuchungen zur Variabilität von Rekombinationsfrequenzen mit Antibiotikaresistenzgenen als genetische Marker. I Vorträge für Pflanzenzüchtung 42 (s. 7-9)

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)

Brinch-Pedersen, H., Dionisio, G. & Holm, P. B. (2007). Unravelling the full complement of phytase encoding enzymes from wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.). I Programme & Abstract of The PSE Congress, Plant for human health in the post-genome era (s. 119)

Brinch-Pedersen, H., Dionisio, G. & Holm, P. B. (2008). Unravelling the full complement and potential of cereal phytases. I Abstract Book of Plant Biotech Denmark Annual Meeting 2008: Poster 9: Nutrition (s. 67)

Wagner, M. W. C., Holm, P. & Gregersen, P. (2008). Unraveling the role of NAC transcription factors in plant senescence. I 8th EMBL Transcription Meeting (s. 183)

Wagner, M. W. C., Holm, P. & Gregersen, P. (2008). Unraveling the role of NAC transcription factors in plant senescence. Poster-session præsenteret på EMBL Transcription Meeting, Heidelberg, Tyskland.

Wagner, M., Holm, P. B. & Gregersen, P. L. (2009). Unraveling the role of NAC transcription factors in plant senescence. I 4th European Senescence Network Meeting (s. 30)

Wagner, M., Holm, P. B. & Gregersen, P. L. (2009). Unraveling the role of NAC transcription factors in plant senescence. I Plant Biotech Denmark Annual Meeting 2009: Posters: Productivity 9 (s. 64) http://www.plant-biotech.dk/Meetings/Abstract_book2009.pdf

Madsen, C. K., Dionisio, G., Holm, P. B. & Brinch-Pedersen, H. (2009). Unraveling the Phytase Complement of Rye (Secale cereale L.). I Plant Biotech Denmark Annual Meeting 2009: Posters: Productivity 1 (s. 56) http://www.plant-biotech.dk/Meetings/Abstract_book2009.pdf

Muchina, P., Kinyua, J., Khamis, F., MBI Tanga, C., Cai, Z., Gebreyesus, G. & Sahana, G. (2024). Unraveling genetic diversity and population structure of black soldier fly (Hermetia illucens) in Kenya and Uganda. 11. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

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Itenov, K. B. & Skjøth, F. (1993). Uniformity within race and genetic constitution of a population of the brown honeybee on the island of Læsø. I SP-rapport (Bind 4, s. 1-35)

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