Slierendrecht, W. J., Olesen, N. J.
, Juul-Madsen, H. R., Lorenzen, N.
, Henryon, M., Berg, P., Søndergaard, J. & Koch, C. (2001).
Rainbow trout offspring with different resistance to viral haemorrhagic septicaemia and MHC polymorphism.
Fish and Shellfish Immunology,
11, 155-167.
Henryon, M., Berg, P., Olesen, N. J., Kjær, T., Slierendrecht, W. J., Jokumsen, A. & Lund, I. (2003).
Rainbow trout can be selectively bred for resistance to the diseases, viral haemorrhagic septicaemia, enteric redmouth disease, rainbow trout fry syndrome, and vibriosis. In
Proceedings (pp. 94)
Ivanova, E. V.
, Koroleva, I. V., Kuznetsov, S. B., Aksenovich, T. I., Svishcheva, G. R.
, Malchenko, S. N., Bendixen, C. & Zhdanova, N. S. (2001).
Radiation mapping of the short arm of swine chromosome 2: Ivanova, E.V., Koroleva, I.V., Kuznetsov, S.B., Aksenovich, T.I., Svishcheva, G.R., Malchenko, S.N., Bendixen, C & Zhdanova, Genetika,
37, 16-6758.
Orfila, C., Sørensen, S. O., Harholt, J.
, Geshi, N., Crombie, H., Truong, H.-N., Reid, J. S. G., Knox, J. P. & Scheller, H. V. (2005).
QUASIMODO1 is expressed in vascular tissue of Arabidopsis thalaina inflorescense stems, and affects homogalacturonan and xylan biosynthesis.
Planta,
222(4), 613-622.
https://doi.org/10.1007/s00425-005-0008-zMilkevych, V., Karaman, E., Sahana, G., Janss, L., Cai, Z. & Lund, M. S. (2022).
Quantitative trait simulation using MeSCoT software. In
WCGALP 2022 Programme book Wageningen Academic Publishers.
https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/30_009.pdf
Dashab, G. R., Aslaminejad, A. A., Nassiri, M. R., Esmailizadeh Koshkoih, A.
, Sahana, G. & Saghi, D. A. (2011).
Quantitative trait loci study in Baluchi sheep. Poster session presented at 62nd Annual Meeting of the European Federation of Animal Science, EAAP, Stavanger, Norway.
Dashab, G. R., Aslaminejad, A. A., Nassiri, M. R., Esmailizadeh Koshkoih, A.
, Sahana, G. & Saghi, D. A. (2011).
Quantitative trait loci study in Baluchi sheep. In
Book of Abstracts of the 62nd Annual Meeting of the European Federation of Animal Science (Vol. 17). Wageningen Academic Publishers.
Brøndum, R. F., Su, G., Janss, L., Sahana, G., Guldbrandtsen, B., Boichard, D. A.
& Lund, M. S. (2015).
Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction.
Journal of Dairy Science,
98(6), 4107-4116.
https://doi.org/10.3168/jds.2014-9005
Mai, M. D., Rychtarova, J., Zink, V.
, Lassen, J. & Guldbrandtsen, B. (2010).
Quantitative trait loci for milk production and functional traits in two Danish Cattle breeds.
Journal of Animal Breeding and Genetics,
127, 469-473.
https://doi.org/10.1111/j.1439-0388.2010.00869.xSchulman, N. F.
, Sahana, G., Lund, M. S., Viitala, S. M. & Vilkki, J. H. (2008).
Quantitative Trait Loci for Fertility Traits in Finnish Ayrshire Cattle.
Genetics Selection Evolution,
40, 195-214.
https://doi.org/10.1051/gse:2007044Buitenhuis, A. J., Rodenburg, T. B., Siwek, M., Cornelissen, S. J. B., Nieuwland, M. G. B., Crooijmans, R. P. M. A., Groenen, M. A. M., Koene, P., Bovenhuis, H. & van der Poel, J. J. (2005).
Quantitative trait loci for behavioural traits in chickens.
Livestock Production Science,
93(1), 95-103.
Foito, A., Hackett, C. A.
, Byrne, S. L., Stewart, D. & Barth, S. (2015).
Quantitative trait loci analysis to study the genetic regulation of non-polar metabolites in perennial ryegrass.
Metabolomics,
11(2), 412-424.
https://doi.org/10.1007/s11306-014-0703-5Li, H. D., Lund, M. S., Christensen, O. F., Gregersen, V. R., Henckel, P. & Bendixen, C. (2010).
Quantitative trait loci analysis of swine meat quality traits.
Journal of Animal Science,
88, 2904-2912.
https://doi.org/10.2527/jas.2009-2590
Christensen, O. F., Busch, M. E.
, Gregersen, V. R., Lund, M. S., Nielsen, B., Vingborg, R. K. K. & Bendixen, C. (2010).
Quantitative trait loci analysis of osteocondrosis traits in the elbow joint of pigs.
Animal,
4(3), 417-424.
https://doi.org/10.1017/S1751731109991248
Klungland, H.
, Sabry, A., Heringstad, B., Olsen, H. G., Gomez-Raya, L., Våge, D. I., Olsaker, I., Ødegard, J., Klemtsdal, G., Schulman, N., Vilkki, J., Ruane, J., Åsland, M., Rønningen, K. & Lien, S. (2001).
Quantitative trait loci affecting clinical mastitis and somatic cell count in dairy cattle.
Mammalian Genome,
12, 837-842.
Thomasen, J. R., Guldbrandtsen, B., Sørensen, P., Thomsen, B. & Lund, M. S. (2008).
Quantitative Trait Loci Affecting Calving Traits in Danish Holstein Cattle.
Journal of Dairy Science,
91(5), 2098-2105.
https://doi.org/10.3168/jds.2007-0602
Danielsen, M., Thomsen, B., Bendixen, C., Hedegaard, J., Siggers, R. H., Kessel, A. V.
, Jensen, B. B. & Bendixen, E. (2006).
Quantitative proteome and transcriptome analyses of intestinal tissues from germ-free and Lactobacillus fermentum or Excherichia coli infected pigs. In
Proc. 7th Siena Meeting: From Genome to Proteome: Back to the Future (pp. 178)
Ødegård, J., Gitterle, T.
, Madsen, P., Meuwissen, T. HE., Yazdi, M. H., Gjerde, B., Pulgarin, C. & Rye, M. (2011).
Quantitative genetics of Taura syndrome resistance in Pacific (Penaeus vannamei): A cure model approach.
Genetics Selection Evolution,
43(14).
Younesi, N., Shariati, M., Zerehdaran, S., Noghabi, M. J.
& Løvendahl, P. (2017).
Quantile regression mixed model at different milk production levels of Iranian Holsteins. Abstract from EAAP, Tallin, Estonia.
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 (PNAS),
116(39), 19398-19408.
https://doi.org/10.1073/pnas.1904159116Schellberg, J., Ferris, R., Porter, J., Wheeler, T.
& Wollenweber, B. (1998).
Quantification of uncertainty in wheat yield prediction. In
Fith CLIVARA workshop, 13-17 May 1998, Florence, Italy (pp. 34-35)
Xiao, N., Ba, L.
, Holm, P. B., Wang, X. & Bowra, S. (2005).
Quantiative transcript analysis in plants: Improved first-strand cDNA synthesis.
Acta Biochimica et Biophysica Sinica,
37(6), 429-434.
https://doi.org/10.1111/j.1745-7270.2005.00052.xSalunke, S., Shrivastava, A. K., Hashmi, M. F., Ahuja, B.
& Bokde, N. D. (2023).
Quad Key-Secured 3D Gauss Encryption Compression System with Lyapunov Exponent Validation for Digital Images.
Applied Sciences (Switzerland),
13(3), Article 1616.
https://doi.org/10.3390/app13031616Lian, X.
, Xing, Y., Yan, H., Xu, C., Li, X. & Zhang, Q. (2005).
QTLs for low nitrogen tolerance at seedling stage identified using a recombinant inbred line population derived from an elite rice hybrid.
Theoretical and Applied Genetics,
112(1), 85-96.
https://doi.org/10.1007/s00122-005-0108-yJensen, L. F. B., Andersen, J. R., Frei, U. K., Xing, Y., Taylor, C.
, Holm, P. B. & Lübberstedt, T. (2004).
QTL mapping of vernalization response in perennial ryegrass reveals cosegregation with an orthologue of wheat VRN1. In J. Vollmann, H. Grausgruber & P. Ruckenbauer (Eds.),
XVIIth EUCARPIA General Congress: Genetic Variation for Plant Breeding (pp. 344). BOKU – University of Natural Resources and Applied Life Sciences.
Andersen, J. R., Jensen, L. F. B., Frei, U. K., Xing, Y., Taylor, C.
, Holm, P. B. & Lübberstedt, T. (2005).
QTL mapping of vernalization response in perennial ryegrass reveals cosegregation with an orthologue of wheat VRN1. In
Proc. Plant and Animal Genomes XIII Conference (pp. 166)
http://www.intl-pag.org/13/abstracts/PAG13_P375.html
Jensen, L. F. B., Andersen, J. R., Frei, U. K., Xing, Y., Taylor, C.
, Holm, P. B. & Lübberstedt, T. (2005).
QTL mapping of vernalization response in perennial ryegrass (Lolium perenne L.) reveals co-location with an orthologue of wheat VRN1).
Theoretical and Applied Genetics,
110(3), 527-536.
https://doi.org/10.1007/s00122-004-1865-8
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.
Thirstrup, J. P., Labouriau, R., Guldbrandtsen, B., Anistoroaei, R. M., Christensen, K., Fredholm, M.
& Nielsen, V. H. (2011).
QTL-mapping in mink (Neovison vison) shows evidence for QTL for guard hair thickness, guard hair length and skin length. In
NJF-Seminar no. 450, Fur Animal Research, Autumn Meeting
Matejickova, J., Stipkova, M.
, Sahana, G., Kott, T., Kuselova, J., Matejicek, A., Kottova, B., Krejcova, M. & Melcova, S. (2013).
QTL mapping for production traits in Czech Fleckvieh cattle.
Czech Journal of Animal Science,
58(9), 396-403.
http://www.agriculturejournals.cz/web/cjas.htm?volume=58&firstPage=396&type=publishedArticleLund, 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)
Zhang, Y., Luo, L., Xu, C., Zhang, Q.
& Xing, Y. (2006).
QTL for panicle size, heading date and plant height co-segregating in trait-performance derived near isogenic lines of rice (Oryza sativa).
Theoretical and Applied Genetics,
113(2), 361-368.
https://doi.org/10.1007/s00122-006-0305-3Siwek, M.
, Buitenhuis, A. J., Cornelissen, S. J. B., Nieuwland, M. G. B., Bovenhuis, H., Parmentier, H. K., Crooijmans, R. P. M., Groenen, M. A. M. & van der Poel, J. J. (2004).
QTL for natural antibodies in two populations of laying hens. In
Book of Abstracts (pp. 15)
Guillenea Golovanevsky, A. C., Cuyabano, B. C. D., Croiseau, P.
, Lund, M. S. & Karaman, E. (2025).
QTL detection in multi-breed cattle populations including crossbred animals: a simulation study.
Animal,
19(10), Article 101639.
https://doi.org/10.1016/j.animal.2025.101639
Ge, X. J.
, Xing, Y. Z., Xu, C. G. & He, Y. Q. (2005).
QTL analysis of cooked rice grain elongation, volume expansion, and water absorption using a recombinant inbred population.
Plant Breeding,
124(2), 121-126.
https://doi.org/10.1111/j.1439-0523.2004.01055.xLarsen, F., Guldbrandtsen, B., Christensen, D., Pitcovski, J.
, Kjærup, R. B. & Dalgaard, T. S. (2020).
Pustulan activates chicken bone marrow-derived dendritic cells in vitro and promotes ex vivo CD4+ T cell recall response to infectious bronchitis virus.
Vaccines,
8(2), Article 226.
https://doi.org/10.3390/vaccines8020226
Kramer, L. M., Wolc, A.
, Esfandyari, H., Thekkoot, D. M., Zhang, C., Kemp, R. A., Plastow, G. & Dekkers, J. C. M. (2021).
Purebred-crossbred genetic parameters for reproductive traits in swine.
Journal of Animal Science,
99(10), Article skab270.
https://doi.org/10.1093/jas/skab270Hilligsøe, K. M., Paulsen, H. N., Mølmer, K., Thøgersen, J., Keiding, S. R. & Larsen, J. J. (2003).
Pulse propagation in photonic crystal fibers. In
Conference on Lasers and Electro-Optics Europe - Technical Digest Article 1312281
https://doi.org/10.1109/CLEOE.2003.1312281
Vermeulen, C. J., Pedersen, K. S., Beck, H. C., Petersen, J., Gagalova, K. K.
& Loeschcke, V. (2013).
Proteomic Characterization of Inbreeding-Related Cold Sensitivity in Drosophila melanogaster.
PLoS One,
8(5).
https://doi.org/10.1371/journal.pone.0062680
Pedersen, K. S., Codrea, M. C.
, Vermeulen, C., Loeschcke, V. & Bendixen, E. (2010).
Proteomic characterization of a temperature-sensitive conditional lethal in Drosophila melanogaster.
Heredity,
104, 125-134.
https://doi.org/10.1038/hdy.2009.132
Hedegaard, J., Lametsch, R., Bendixen, C., Horn, P., Roepstorff, P.
& Bendixen, E. (2001).
Proteome Analysis of the RN- mutation of the porcine PRKAG3 gene. In
Proceedings of the European Muscle Conference (pp. 21)
Danielsen, M., Hornshøj, H., Purup, S., Van Kessel, A. G., Siggers, R. H.
, Jensen, B. B. & Bendixen, E. (2008).
Proteome analysis of porcine intestinal tissue - the impact of colonisation. Poster session presented at ASM Conferences, San Diego, United States.
Poulsen, N. A., Rosengaard, A. K., Szekeres, B. D., Gregersen, V. R., Jensen, H. B. & Larsen, L. B. (2016).
Protein heterogeneity of bovine β-casein in Danish dairy breeds and association of rare β-casein F with milk coagulation properties.
Acta Agriculturae Scandinavica, Section A - Animal Science,
66(4), 190-198.
https://doi.org/10.1080/09064702.2017.1342858
Andersen, L. H.
, Kristensen, T. N., Loeschcke, V., Toft, S. & Mayntz, D. (2010).
Protein and carbohydrate composition of larval food affects tolerance to thermal stress and desiccation in adult Drosophila melanogaster.
Journal of Insect Physiology,
56(4), 336-340.
https://doi.org/10.1016/j.jinsphys.2009.11.006Gebreyesus, G., Cheruiyot Bett , R., Nakimbugwe, D.
, Hansen, L. S., Nielsen, H. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., MBI Tanga, C., Mwikirize, C., Akol, R., Katumba, A., Khamis, F., Kinyua, J., Walusimbi, S., Geoffrey, S., Roos, N.
& Sahana, G. (2024).
Prospects of implementing black soldier fly (BSF) selective breeding in Kenya and Uganda: Status from the FlyGene Project. 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
Fé, D., Ashraf, B., Byrne, S., Czaban, A., Roulund, N., Lenk, I.
, Asp, T., Pedersen, M. G., Jensen, C. S.
, Janss, L. & Jensen, J. (2014).
Prospects for introducing genomic selection info forage grass breeding. In
Proceedings of the 25th General Meeting of the European Grassland Federation (pp. 830-832)
