Publications

Peer-reviewed publications at QGG

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Muminovic, J., Melchinger, A. E. & Lübberstedt, T. (2004). Prospects for celeriac (Apium graveolens var. rapaceum) improvement by using genetic resources of Apium, as determined by AFLP markers and morphological characterization. Plant Genetic Resources, 2(3), 189-198. http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=683668

Bredmose, N. B., Kristiansen, K. & Nielsen, B. (2004). Propagation temperature, PPFD, auxin treatment, cutting size and cutting position affect root formation, axillary bud growth and shoot development in miniature rose (Rosa hybrida L.) plants and alter homogeneity. Journal of Horticultural Science and Biotechnology, 79(3), 458-465. http://www.ingentaconnect.com/content/jhsb/jhsb/2004/00000079/00000003/art00020

Holm, P. & Petersen, B. A. (2000). Projekt vedrørende Inseminering af Får - resultater, der kan og bør bygges videre på. Får, (2), 10-14.

Hansen, M. (2002). Projekt kalvedødelighed. In Årsrapport (Vol. 100, pp. 25-28). Dansk Kvægavl.

Lassen, J., Garnsworthy, P. C., Chagunda, M. G., Negussie, E., Løvendahl, P. & de Haas, Y. (2014). Progress with Genetic Selection for Low Methane Traits in Dairy Cows. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/xRkBxtAXbN

Sørensen, P. & Ssewannyana, E. (2003). Progress in SAARI chicken breeding project - Analyses of growth capacity. In Proceedings (pp. 172-178)

Niemann, T., Labouriau, R., Sørensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2004). Prognostic impact of different regional referral practice for interventional investigation and coronary treatment after excerse testing: A populationbased 5-year follow-up study. Journal of Internal Medicine, 255(4), 478-485. https://doi.org/10.1111/j.1365-2796.2004.01307.x

Sørensen, J. B. & Badsberg, J. H. (1993). Prognostic factors in resected stages i and ii adenocarcinoma of the lung: A multivariate regression analysis of 137 consecutive patients. Journal of Thoracic and Cardiovascular Surgery, 99(2), 218-226.

Sørensen, J. B., Badsberg, J. H. & Olsen, J. (1989). Prognostic factorsin inoperable adenocarcinoma of the lung: A multivariate regression analysis of 259 patiens. Cancer Research, 49(20), 5748-5754.

Kronborg, C. S. & Jensen, A. R. (2015). Prognostic factors for overall survival in metastatic colorectal cancer using a stop-and-go FLIRI-based treatment strategy. International Journal of Colorectal Disease, 30(8), 1059-65. https://doi.org/10.1007/s00384-015-2264-0

Olesen, M. (2002). Produktionsforholdene påvirker foderoptagelse og tilvækst hos ammekvæg. In Bedre indtjening og større trivsel i kvægbruget (pp. 20-21)

Waagepetersen, J., Petersen, J. B., Knudsen, L., Deneken, G. & Jørgensen, J. R. (Eds.) (2001). Produktion af kvalitetshvede i Danmark. DJF rapport, markbrug No. 53

Wassmuth, R. & Jensen, J. (1997). Production traits and disease incidence in performace testing of potential AI-bulls. In Book of Abstracts No. 3 of the 48th Annual Meeting EAAP (pp. 75)

Corydon, T. J., Bolund, L., Kragh, P., Vajta, G. & Callesen, H. (2004). Production of transgenic porcine blastocysts by handmade cloning. In Proceedings of the Annual Conference of the International Embryo Transfer Society (pp. 290) http://www.publish.csiro.au/?act=view_file&file_id=RDv16n2abs.pdf

Kagawa, N., Kuwayama, M., Nakata, K., Vajta, G., Silber, S. J., Manabe, N. & Kato, O. (2007). Production of the first offspring from oocytes derived from fresh and cryopreserved pre-antral follicles of adult mice. RBM Online, 14(6). http://www.rbmonline.com/4DCGI/Article/Detail?38%091%09=%202599%09

Cankar, K., Toonen, M., Borkhardt, B., Ulvskov, P., Verhoef, R., Schols, H. & Visser, R. (2007). Production of tailored pectins in transgenic potato plants. Physiologia Plantarum, 130(4), Abstract 280.

Borkhardt, B. (1991). Production of potato virus Y resistant potatoes: Institute of Plant and Soil Science. Annual Report 1991, 43-48. In Annual Report 1991 (pp. 43-48).

Deleuran, L. C. & Boelt, B. (2002). Production of organic vegetable seed. In Annual Report (Vol. 2001, pp. 45). Aarhus University.

Booth, P., Vajta, G., Høj, A., Holm, P., Jacobsen, H., Greve, T. & Callesen, H. (1998). Production of nuclear transfer calves using cytoplasts vitrified by the Open Pulled Straw (OPS) technique. In A. Lauria (Ed.), Proc. Serono Symposium (pp. 512)

Vajta, G., Bartels, P., Joubert, J., de lay Rey, M., Treadwell, R. & Callesen, H. (2004). Production of a healthy calf by somatic cell nuclear transfer without micromanipulators and carbon dioxide incubators using the Handmade Cloning (HMC) and the Submarine Incubation System (SIS). Theriogenology, 62(8), 1465-1472. https://doi.org/10.1016/j.theriogenology.2004.02.010

Ojungu, M., Mali, B., Geoffrey, S., Nakimbugwe, D., Cheruiyot Bett , R., Gebreyesus, G. & Walusimbi, S. (2024). Production characteristics and constraints of black soldier fly farmers in Uganda. 27. Abstract from 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

Hansen, B. K. & Berg, P. (1993). Proc Varcomp: Bilag til SAS-studiekreds 26. oktober.

Björn, L. O. & Bornman, J. (1983). Proceedings of the International Workshop on the Effects of Ultraviolet Radiation on Plants. Physiology Plant, (58), 349-450.

Björn, L. O. & Bornman, J. (1984). Proceedings of the European Symposium on Photomorphogenesis. Physiology Plant, (60), 359-448.

Boelt, B. (Ed.) (2003). Proceedings. In The 1st European Conf. on the Co-existence of Genetically Modified Crops with Conventional and Organic Crops (pp. 1-228). Aarhus University.

Møller, S. H., Nielsen, V. H., Hansen, S. W. & Malmkvist, J. (Eds.) (2012). Proceeding of the X^th International Scientific Congress in fur animal production. (3/4 ed.) Wageningen Academic Publishers. https://doi.org/10.3921/978-90-8686-760-8

Jørgensen, L. N., Noe, E., Nielsen, G. C., Jensen, J. E., Ørum, J. E. & Pinnschmidt, H. O. (2008). Problems with disseminating information on disease control in wheat and barley to farmers. European Journal of Plant Pathology, 121(3), 303-312. https://doi.org/10.1007/s10658-007-9259-9

Friggens, N. C. & Labouriau, R. (2010). Probability of pregnancy as affected by oestrus number and days to first oestrus in dairy cows of three breeds and parities. Animal Reproduction Science, 118(2), 155-162. https://doi.org/10.1016/j.anireprosci.2009.08.009

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle. BMC Genomics, 19(1), Article 656. https://doi.org/10.1186/s12864-018-5050-x

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Prioritizing candidate genes for fertility in dairy cows using gene-based analysis, functional annotation and differential gene expression. BMC Genomics, 20, Article 255. https://doi.org/10.1186/s12864-019-5638-9

Hulsegge, I., Woelders, H., Smits, M., Schokker, D., Jiang, L. & Sørensen, P. (2013). Prioritization of candidate genes for cattle reproductive traits, based on protein-protein interactions, gene expression, and text-mining. Physiological Genomics, 45(10), 400-406. https://doi.org/10.1152/physiolgenomics.00172.2012

Mark, T., Madsen, P., Jensen, J. & Fikse, W. F. (2005). Prior (Co)Variances Can Improve Miltiple-Trait Across-Country Evaluations of Weakly Linked Bull Populations. Journal of Dairy Science, 88(9), 3290-3302. http://jds.fass.org/cgi/content/abstract/88/9/3290

Liu, X., Lund, O. S. & Mortensen, C. N. (2006). Print PCR in the detection of the bacterial canker pathogen (Clavibacter michiganensis subsp. michiganensis) from tomato plant tissue. In Proc. 8th Conference of the European Foundation for Plant Pathology & British Society of Plant Pathology Presidential Meeting (pp. 67)

Pedersen, G. A., Christensen, L. G. & Jensen, J. (1994). Principper for beregning af avlsværdital for ydelse. SDM-bladet, 4, 55.

Fredslund, J. & Lange, M. (2007). Primique: automatic design of specific PCR primers for each sequence in a family. BMC Bioinformatics, 8, 369.

Aamlid, T. S., Heide, O. M. & Boelt, B. (2000). Primary and secondary induction requirements for flowering of contrasting European varieties of Loloum perenne. Annals of Botany, 86, 1087-1095.

Aamild, T. S., Heide, O. M. & Boelt, B. (1999). Primary and secondary induction requirements for flowering of contrasting European cultivars of Lolium perenne. In M. Falcinelli & D. Rosellini (Eds.), Proceedings of the Fourth International Herbage Seed ConferenceHerbage seed as a key factor for improving production and environmental quality (pp. 214-216)

Robbins, J. B., Schneerson, R., Szu, S. C., Fattom, A., Yang, Y., Lagergard, T., Chu, C. & Sørensen, U. S. (1989). Prevention of invasive bacterial diseases by immunization with polysaccharide-protein conjugates. Current Topics in Microbiology and Immunology, 146, 169-180.

Rovere, G. A., Madsen, P., Christiansen, K., Holm, M. & Lund, M. S. (2018). Prevalence and genetic variability of osteochondrosis in Danish Warmblood horses. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 11.929 http://www.wcgalp.org/system/files/proceedings/2018/prevalence-and-genetic-variability-osteochondrosis-danish-warmblood-horses.pdf

Jensen, J. (2003). Presentation of the Danish Institute of Agricultural Sciences and Danish Research in Animal Breeding and Genetics. In Proc. International Symposium on Research Trends and Strategies of Animal Biotechnology (pp. 21-24)

Holm, P., Madsen, M., Booth, P. & Callesen, H. (2000). Presence of a high molecular serum fraction (">="300 kD) during in vitro fertilisation enhances cleavage and blastocyst development of in invitro matured bovine oocytes. In Proc. 14th International Congress on Animal Reproduction (pp. 180)

Hjortø, L., Henryon, M., Liu, H., Berg, P., Thomasen, J. R. & Sørensen, A. C. (2021). Pre-selection against a lethal recessive allele in breeding schemes with optimum-contribution selection or truncation selection. Genetics Selection Evolution, 53, Article 75. https://doi.org/10.1186/s12711-021-00669-4

Marcussen, J., Ulvskov, P., Olsen, C. E. & Rajagopal, R. (1987). Preparation and Properties of Antibodies against Indoleacetic Acid (IAA), a Novel Ring-Coupked IAA Antigen, as Compared to Two Other Types of -C5-BSA antigen IAA-Specific Antibodies. Plant Physiology, 89(4), 1071-1078.

Fogh, A., Nielsen, U. S. & Kargo Sørensen, M. (2005). Premiere på Nordisk avlsværdivurdering. Kvægavleren, 2, 5.

Andersen, L. W., Holm, L.-E., Clausen, B. & Kinze, C. C. (1995). Preliminary results of a DNA microsatelite study of the population- and social structure of the harbour porpoise. Whale seals, fish and man. Developments in Marine Biology, 4, 119-127.

Su, G., Guldbrandtsen, B., Gregersen, V. R. & Lund, M. S. (2010). Preliminary investigation on reliability of genomic estimated breeding values in the Danish and Swedish Holstein Population. Journal of Dairy Science, 93(3), 1175-1183. https://doi.org/10.3168/jds.2009-2192

Su, G., Guldbrandtsen, B., Gregersen, V. R. & Lund, M. S. (2008). Preliminary investigation in Danish Holstein showing a promising prospect of genomic selection. Poster session presented at SABRE Conference: Welfare and Quality Genomics, Tjele, Denmark.

Lewis, I. M., Lane, M. W. & Vajta, G. (1999). Pregnancy rates following transfer of in vitro produced bovine embryos vitrified by the open pulled straw (OPS) method. Theriogenology, (51), 168.

Holm, P., Vajta, G., Greve, T. & Callesen, H. (1996). Pregnancy rates after direct transfer of in-straw rehydrated intact and biopsied vitrified in vitro produced bovine embryos. In Proc. 11th Annual Meeting of European Embryo Transfer Association (pp. 138)

Callesen, H., Bak, A. & Greve, T. (1994). Pregnancy failure following transfer of bovine embryos: Inherent low fertility of recipients? Theriogenology, 41, 172.

Vajta, G., Bárándi, ZS., Varga, ZS., Macháty, Z., Cseh, S., Szásf, F. & Solti, L. (1991). Pregnancy after in vitro fertilization of bovine oocytes. Magyar Allatorvosok Lapja, 46, 87-90.

Schmidt, M. E., Bøgh, I. B., Du, Y., Zhang, Y.-H., Li, J., Purup, S. & Vajta, G. (2007). Pregnancies and viability of the offspring after transfer of handmade cloned porcine embryos. In Proceedings of the Annual Conference of the International Embryo Transfer Society, IETS (pp. 160) https://doi.org/10.1071/RDv19n1Ab85

Schmidt, M., Kragh, P. M., Li, J., Du, Y., Lin, L., Liu, Y., Bøgh, I. B., Winther, K. D., Vajta, G. & Callesen, H. (2010). Pregnancies and piglets from large white sow recipients after two transfer methods of cloned and transgenic embryos of different pig breeds. Theriogenology, 74(7), 1233-1240. https://doi.org/10.1016/j.theriogenology.2010.05.026

Lewis, I. M., Peura, T. T., Lane, M. W., Vajta, G. & Trounson, A. O. (1998). Pregnancies and live birth achieved from vitrified multigenerational cattle nuclear transfer embryos. Theriogenology, (49), 323.

Slagboom, M., Kargo, M., Edwards, D., Sørensen, A. C., Thomasen, J. R. & Hjortø, L. (2016). Preferences for Breeding Goal Traits for Danish Red and Jersey Cattle. Abstract from 67th Annual Meeting of the European Association for Animal Production (EAAP), Belfast, United Kingdom.

Jørgensen, H. J. H., Halekoh, U. & Lauridsen, C. (2011). Preference of organic grown carrots in a rat model. In J. Pulkrabova, , M. Tomaniova, J. Kahl & J. Hajslova (Eds.), Book of Abtracts - Organic Food Quality and Health Research 2011 Institute of Chemical Technology, Prague.

Pertoldi, C., Kristensen, T. N. & Stenseth, N. C. (2010). Prefase. Climate Research, 43, 1-2. https://doi.org/10.3354/cr00908

Poulsen, B. G., Ostersen, T., Nielsen, B. & Christensen, O. F. (2022). Predictive performances of animal models using different multibreed relationship matrices in systems with rotational crossbreeding. Genetics, selection, evolution : GSE, 54, Article 25. https://doi.org/10.1186/s12711-022-00714-w

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

Waagepetersen, R. (1999). Prediction of weed using spatial generalized linear mixed models and the MALA-algorithm. In Book of Abstracts of the Second European Conference on Highly Structured Stochastic Systems (pp. 290)

Kristensen, K. (2000). Prediction of the variety yield of a barley variety not grown on the environment. Biuletyn Oceny Odmian, 45-51.

Bertram, H. C., Andersen, H. J., Karlsson, A. H., Horn, P., Hedegaard, J., Nørgaard, L. & Engelsen, S. B. (2003). Prediction of technological quality (cooking loss and Napole Yield) of pork based on fresh meat characteristics. Meat Science, 65, 707-712.

Hornshøj, H., Panitz, F., Hedegaard, J., Conley, L. N., Nielsen, R. O. & Bendixen, C. (2009). Prediction of splice junctions and exon-skipping events in porcine tissues from alignments of next-generation RNA short reads to the genome sequence: Poster no. 27. Poster session presented at Pig Genome III Conference, Hinxton, Cambridge, United Kingdom.

Gebreyesus, G., Jensen, K. & Luca, A. (2024). Prediction of nutritional content of black soldier fly (BSF) larvae using multispectral imaging. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 536-636). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Cheah, K. S., Cheah, A. M., Petersen, J. S. & Nielsen, V. H. (1997). Prediction of meat quality in live pigs from biopsy samples of M. In Proceedings of the 43rd International Congress on Meat Science and Technology (pp. 272-273)

Larsen, M., Buitenhuis, A. J., Hedemann, M. S. & Sehested, J. (2018). Prediction of individual dairy cow performance using LC-MS metabolome spectra. In R. Baumont, M. Silberberg & I. Cassar-Malek (Eds.), Proceedings of the 10th International Symposium on the Nutrition of Herbivores (Vol. 9). Article 623 Cambridge University Press.

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.

Østergård, H., Jensen, J. W. & Kristensen, K. (2005). Prediction of grain yield of spring barley varieties by disease and growth characteristics from VCU testing. In U. Köpke, U. Niggli, D. Neuhoff, P. Carnish & W. Lockeretz (Eds.), Researching Sustainable Systems (pp. 154-157)

Do, D. N., Janss, L., Strathe, A. B., Jensen, J. & Kadarmideen, H. N. (2014). Prediction of genomic breeding values for feed efficiency and related traits in pigs. EAAP scientific series, 20, 282-282. http://www.wageningenacademic.com/eaap2014

Poulsen, B. G., Ask, B., Nielsen, H. M., Ostersen, T. & Christensen, O. F. (2020). Prediction of genetic merit for growth rate in pigs using animal models with indirect genetic effects and genomic information. Genetics, selection, evolution : GSE, 52(1), Article 58. https://doi.org/10.1186/s12711-020-00578-y

Buitenhuis, A. J., Noel, S. J., Sørensen, A. C., Christensen, O. F. & Knudsen, K. E. B. (2025). Prediction of feed nitrogen and energy digestibility in pigs using fecal based NIR spectroscopy. In Book of abstracts of the 76th Annual Meeting of the European Federation of Animal Science (EAAP) (pp. 230). EAAP. https://docs.eaap.org/boa/2025_Innsbruck_EAAP_Book_Abstracts.pdf

Ramstein, G. P. & Buckler, E. S. (2022). Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize. Genome Biology, 23(1), Article 183. https://doi.org/10.1186/s13059-022-02747-2

Jørgensen, J. R. & Gislum, R. (2009). Prediction of Enzyme Digestibility of Organic Matter (EDOM) using Spectroscopy and Chemometrics. In V. Haruthaithanasan (Ed.), Abstract Book. NIR-2009 Breaking the Dawn: The 14th International Conference on Near Infrared Spectroscopy (pp. 124)

Jørgensen, J. R. & Gislum, R. (2010). Prediction of enzyme digestibility of organic matter (EDOM) using spectroscopy and chemometrics. In S. Saranwong, S. Kasemsumran, W. Thanapase & P. Williams (Eds.), Near Infrared Spectroscopy: Proceedings of the 14th International Conference (pp. 317-320). IM Publications.

Janss, LLG. & Brascamp, EW. (1998). Prediction of elbow dysplasia in dogs by breeding values of relatives. In Proceedings of the 6th World Congress on Genetics Applied to Livestock Production (Vol. 25, pp. 621-624).

Friggens, N., Chagunda, M., Bjerring, M., Ridder, C., Højsgaard, S. & Larsen, T. (2007). Prediction of degree of mastitis from repeated measurements of lactate dehydrogenase (LDH) in milk: (abstract no. 388). In Abstracts Joint Annual Meeting ADSA - PSA - AMPA - ASAS. J. Anim. Sci. 85 (suppl. 1) / J. Dairy Sci. 90 (Suppl. 1) / Poult. Sci. 86 (Suppl. 1) (pp. 366-366)

de los Campos, G., Vazquez, A. I., Fernando, R., Klementidis, Y. C. & Sorensen, D. (2013). Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor. PLoS Genetics, 9(7), 1-15. Article e1003608. https://doi.org/10.1371/journal.pgen.1003608

Jørgensen, J. R. & Gislum, R. (2009). Prediction of cereal feed value using spectroscopy and chemometrics. In S. K. Rasmussen (Ed.), 30th Nordic Cereal Congress 15-17th of June 2009 Programme and Book of Abstracts (pp. 58). University of Copenhagen. Faculty of Life Sciences.

Jørgensen, J. R. & Gislum, R. (2009). Prediction of cereal feed value using spectroscopy and chemometrics. Poster session presented at Nordic Cereal Congress, Copenhagen, Denmark.

Jørgensen, J. R. (2009). Prediction of cereal feed value by near infrared spectroscopy. Poster session presented at Agricultural applications of NIRS and NIT, Slagelse, Denmark.

van den Berg, I., Boichard, D. & Lund, M. S. (2015). Prediction of causative genomic relationships using sequence data of five French and Danish dairy cattle breeds. Poster session presented at Plant & Animal Genome XXIII, San Diego, CA, United States.

Jensen, J. (1985). Prediction of breeding values of bulls for type and management traits. Report No. 595

Ma, X., Christensen, O. F., Gao, H., Huang, R., Nielsen, B., Madsen, P., Jensen, J., Ostersen, T., Li, P., Shirali, M. & Su, G. (2021). Prediction of breeding values for group-recorded traits including genomic information and an individually recorded correlated trait. Heredity, 126(1), 206-217. https://doi.org/10.1038/s41437-020-0339-3

Hansen, B. K. (2006). Prediction of breeding values for feed conversion rate - Validating models. In NJF's Subsection for Fur Animals Nordic Association of Agricultural Scientists (NJF).

Jensen, J. (1993). Prediction of breeding values for dairy and dual purpose cattle in Denmark: An overview! In Proc. Symposium on Continuous Evaluation in Dairy Cattle, Maryland, USA, June.

Kargo Sorensen, M., Madsen, P., Sejrsen, K., Vestergaard, M. & Lovendahl, P. (2000). Prediction of breeding value for milk, fat and protein yield based on endocrine response profiles. Journal of Animal Science/Journal of Dairy Science, 78/83(1/1), 72.

Stephansen, R. B., Manzanilla Pech, C. I. V., Gebreyesus, G., Sahana, G. & Lassen, J. (2023). Prediction of body condition in Jersey dairy cattle from 3D-images using machine learning techniques. Journal of Animal Science, 101, Article skad376. https://doi.org/10.1093/jas/skad376

Stephansen, R. B., Manzanilla Pech, C. I. V., Gebreyesus, G., Sahana, G. & Lassen, J. (2023). Prediction of body condition in Jersey dairy cattle from 3D images using machine learning techniques. Abstract from ICAR 2023, Toledo, Spain. https://www.icar.org/wp-content/uploads/2024/01/ICAR-Technical-Series-27-Toledo-2023-Proceedings.pdf

Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2025). Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning. Smart Agricultural Technology, 11, Article 100953. https://doi.org/10.1016/j.atech.2025.100953

Kristensen, P. S., Sarup, P., Fé, D., Orabi, J., Snell, P., Ripa, L., Mohlfeld, M., Chu, T. T., Herrström, J., Jahoor, A. & Jensen, J. (2023). Prediction of additive, epistatic, and dominance effects using models accounting for incomplete inbreeding in parental lines of hybrid rye and sugar beet. Frontiers in Plant Science, 14, Article 1193433. https://doi.org/10.3389/fpls.2023.1193433

Andersen, A. H., Korsgaard, I. R. & Jensen, J. (2002). Prediction error variance and expected response to selection, when selection is based on the best predictor - for Gaussian and threshold characters, traits following a Poisson mixed model and survival traits. Genetics Selection Evolution, 34(3), 307-333. https://doi.org/10.1051/gse:2002010

Shetty, N., Løvendahl, P., Lund, M. S. & Buitenhuis, A. J. (2017). Prediction and validation of residual feed intake and dry matter intake in Danish lactating dairy cows using mid-infrared spectroscopy of milk. Journal of Dairy Science, 100(1), 253-264. https://doi.org/10.3168/jds.2016-11609

Østergård, H., Kristensen, K., Pinnschmidt, H. O., Hansen, P. K. & Hovmøller, M. S. (2008). Predicting spring barley yield from variety-specific yield potential, disease resistance and straw length, and from environment-specific disease loads and weed pressure. Euphytica, 163(3), 391-408. https://doi.org/10.1007/s10681-008-9714-5

Gislum, R., Deleuran, L. C. & Boelt, B. (2009). Predicting seed yield in perennial ryegrass using repeated canopy reflectance measurements and PLSR. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 59, 414-423. https://doi.org/10.1080/09064710802322139

Sørensen, C., Berg, P. & Woolliams, J. A. (2002). Predicting rates of gain and inbreeding with factorial mating and the use of mating for optimal designs. In Proc. 7th WCGALP, 32: CD-rom Communication No 19-08 (pp. 435-438). Editions Quae.

Kjærgaard, C., Hoffmann, C. C., Heiberg, L., Hansen, H. C. B., Jensen, H. S. & Kristensen, K. (2010). Predicting phosphorus release following wetland restoration. In A. Delgado, F. G. Sotres & J. Torrent (Eds.), 6th International Phosphorus Workshop (IPW6): Sevilla, 27 September - 1 October, 2010 (pp. 83-83)

Washburn, J. D., Cimen, E., Ramstein, G., Reeves, T., O’Briant, P., McLean, G., Cooper, M., Hammer, G. & Buckler, E. S. (2021). Predicting phenotypes from genetic, environment, management, and historical data using CNNs. Theoretical and Applied Genetics, 134(12), 3997-4011. https://doi.org/10.1007/s00122-021-03943-7

Shetty, N., Difford, G., Lassen, J., Løvendahl, P. & Buitenhuis, A. J. (2017). Predicting methane emissions of lactating Danish Holstein cows using Fourier transform mid-infrared spectroscopy of milk. Journal of Dairy Science, 100(11), 9052-9060. https://doi.org/10.3168/jds.2017-13014

Anantharama Ankinakatte, S., Norberg, E., Løvendahl, P., Edwards, D. & Højsgaard, S. (2013). Predicting mastitis in dairy cows using neural networks and generalized additive models: a comparison. Computers and Electronics in Agriculture, 99, 1-6. https://doi.org/10.1016/j.compag.2013.08.024

Hansen, P. M., Jørgensen, J. R. & Thomsen, A. (2002). Predicting grain yield and protein content in winter wheat and spring barley using repeated canopy refectance measurements and partial least squares regression. Journal of Agricultural Science, 139, 307-318.

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