Stephansen, R. B., Lassen, J., Thorup, V. M., Poulsen, B. G., Jensen, J., Sahana, G. & Christensen, O. F. (2025).
Modeling Feed Efficiency over Productive Lifetime and Integrating a Sub-Model for Body Reserve Management in Nordic Dairy Cattle.
Journal of Dairy Science,
108(2), 1757-1777.
https://doi.org/10.3168/jds.2024-25383,
https://doi.org/10.3168/jds.2024-25383
Si, J., Dai, D., Gorkhali, N. A., Wang, M.
, Wang, S., Sapkota, S., Kadel, R. C., Sadaula, A., Dhakal, A., Faruque, M. O., Omar, A. I., Sari, E. M., Ashari, H., Dagong, M. I. A., Yindee, M., Rushdi, H. E., Elregalaty, H., Amin, A., Radwan, M. A.
... Zhang, Y. (2025).
Complete Genomic Landscape Reveals Hidden Evolutionary History and Selection Signature in Asian Water Buffaloes (Bubalus bubalis).
Advanced Science, e2407615.
https://doi.org/10.1002/advs.202407615,
https://doi.org/10.1002/advs.202407615
Malinowska, M., Kristensen, P. S., Nielsen, B., Fè, D., Ruud, A. K., Lenk, I., Greve, M.
& Asp, T. (2025).
The value of early root development traits in breeding programs for biomass yield in perennial ryegrass (Lolium perenne L.).
Theoretical and Applied Genetics,
138(1), 31.
https://doi.org/10.1007/s00122-024-04797-5,
https://doi.org/10.1007/s00122-024-04797-5
Raffo, M. A., Sarup, P., Jensen, J., Guo, X., Jensen, J. D., Orabi, J., Jahoor, A.
& Christensen, O. F. (2025).
Genomic prediction for yield and malting traits in barley using metabolomic and near-infrared spectra.
Theoretical and Applied Genetics,
138(1), 24.
https://doi.org/10.1007/s00122-024-04806-7,
https://doi.org/10.1007/s00122-024-04806-7
Hansen, L. S., Bouwman, A. C.
, Sahana, G., Slagboom, M., Nielsen, H. M. & Ellen, E. D. (2025).
Data for: Comparative evaluation of phenotypic, pedigree, and family-based selection in insect breeding using stochastic simulation. Datasæt, Dryad Digital Repository.
https://doi.org/10.5061/dryad.h18931zx7
Skovbjerg, C. K., Sarup, P. M., Wahlström, E., Jensen, J. D., Orabi, J.
, Jensen, J., Jahoor, A.
& Ramstein, G. (2025).
Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program.
Heredity,
134, 38-48.
https://doi.org/10.1038/s41437-024-00733-x
Zaalberg, R. M., Andersen, L. B., Hansen, L. S., Gebreyesus, G., Henryon, M.
, Jensen, K. & Nielsen, H. M. (2025).
Strong potential for selection for larger larval size in the black soldier fly (Hermetia illucens). 41. Abstract fra 1st EAAP Workshop on Insect Genetic Improvement, Implementation, Impact, Athens, Grækenland.
https://docs.eaap.org/boa/2025_insectIMP_Book_Abstracts.pdf
Løvendahl, P., Milkevych, V., Krogh Nielsen, R.
, Bjerring, M., Manzanilla-Pech, C.
, Johansen, K., Difford, G. F.
& Villumsen, T. M. (2024).
A data-driven approach to the processing of sniffer-based gas emissions data from dairy cattle.
Computers and Electronics in Agriculture,
227(Part 1), Artikel 109559.
https://doi.org/10.1016/j.compag.2024.109559
Zhong, C., Li, X., Guan, D., Zhang, B., Wang, X., Qu, L., Zhou, H.
, Fang, L., Sun, C., Yang, N. & ChickenGTEx Consortium (2024).
Age-dependent genetic architectures of chicken body weight explored by multidimensional GWAS and molQTL analyses.
Journal of Genetics and Genomics,
51(12), 1423-1434.
https://doi.org/10.1016/j.jgg.2024.09.003
Liu, H., Cui, T., Liu, H., Zhang, J., Luo, Q., Fei, S., Chen, K., Zhu, X., Zhu, C.
, Li, B., Fang, L., Zhao, J. & Ou, M. (2024).
Chromosome-level genome assembly of the mud carp (Cirrhinus molitorella) using PacBio HiFi and Hi-C sequencing.
Scientific Data,
11(1), Artikel 1249.
https://doi.org/10.1038/s41597-024-04075-5
Hansen, L. S., Laursen, S. F., Bahrndorff, S.
, Kargo, M., Sørensen, J. G., Sahana, G., Nielsen, H. M. & Kristensen, T. N. (2024).
Estimation of genetic parameters for the implementation of selective breeding in commercial insect production.
Genetics, selection, evolution : GSE,
56(1), 21. Artikel 21.
https://doi.org/10.1186/s12711-024-00894-7
Bai, Z., Gholipourshahraki, T., Shrestha, M., Hjelholt, A., Hu, S.
, Kjolby, M., Rohde, P. D.
& Sørensen, P. (2024).
Evaluation of Bayesian Linear Regression derived gene set test methods.
BMC Genomics,
25(1), Artikel 1236.
https://doi.org/10.1186/s12864-024-11026-2
Zheng, S. L., Henry, A., Cannie, D., Lee, M., Miller, D., McGurk, K. A., Bond, I., Xu, X., Issa, H., Francis, C., De Marvao, A., Theotokis, P. I., Buchan, R. J.
, Speed, D., Abner, E., Adams, L., Aragam, K. G., Ärnlöv, J., Raja, A. A. ... COVIDsortium (2024).
Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy.
Nature Genetics,
56(12), 2646-2658. Artikel 2254.
https://doi.org/10.1038/s41588-024-01952-y
Sharif-Islam, M., van der Werf, J. H. J., Henryon, M.
, Chu, T. T., Wood, B. J. & Hermesch, S. (2024).
Genotyping both live and dead animals to improve post-weaning survival of pigs in breeding programs.
Genetics Selection Evolution,
56(1), Artikel 65.
https://doi.org/10.1186/s12711-024-00932-4
Friedrich, J., Liu, S.
, Fang, L., Prendergast, J. & Wiener, P. (2024).
Insights into trait-association of selection signatures and adaptive eQTL in indigenous African cattle.
BMC Genomics,
25(1), Artikel 981.
https://doi.org/10.1186/s12864-024-10852-8
Liu, P., Luo, N., Liu, D., Ying, F., Zhu, D., Wen, J., Zhao, G.
& An, B. (2024).
Integrating GWAS and transcriptomics to identify candidate genes conferring relative growth rate trait in white-feathered broiler.
Poultry Science,
103(12), Artikel 104338.
https://doi.org/10.1016/j.psj.2024.104338
Cai, Z., Iso-Touru, T., Sanchez, M.-P., Kadri, N., Bouwman, A. C., Chitneedi, P. K., MacLeod, I. M., Vander Jagt, C. J., Chamberlain, A. J., Gredler-Grandl, B., Spengeler, M.
, Lund, M. S., Boichard, D., Kühn, C., Pausch, H., Vilkki, J.
& Sahana, G. (2024).
Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance.
Genetics, selection, evolution : GSE,
56(1), Artikel 54.
https://doi.org/10.1186/s12711-024-00920-8
Liu, L., Yi, G., Yao, Y., Liu, Y., Li, J., Yang, Y., Liu, M.
, Fang, L., Mo, D., Zhang, L., Liu, Y., Niu, Y., Wang, L., Qu, X., Pan, Z., Wang, L., Chen, M., Fan, X., Chen, Y. ... Tang, Z. (2024).
Multiomics analysis reveals signatures of selection and loci associated with complex traits in pigs.
iMeta,
3(6), Artikel e250.
https://doi.org/10.1002/imt2.250
Li, D., Wang, Y., Yuan, T., Cao, M., He, Y., Zhang, L., Li, X., Jiang, Y., Li, K., Sun, J., Lv, G.
, Su, G., Wang, Q., Pan, Y., Li, X., Jiang, Y., Yang, G., Groenen, M. A. M., Derks, M. F. L. ... Yu, T. (2024).
Pangenome and genome variation analyses of pigs unveil genomic facets for their adaptation and agronomic characteristics.
iMeta,
3(6), Artikel e257.
https://doi.org/10.1002/imt2.257
Yousaf, M. F., Demirel, U., Naeem, M., Naawe, E. K. & Caliskan, M. E. (2024).
SNP Markers Associated with Some Root, Stolon, and Tuber Traits in Tetraploid Potatoes (Solanum tuberosum L.) Grown Under Diverse Growing Systems.
Potato Research,
67(4), 1735-1753.
https://doi.org/10.1007/s11540-024-09718-z
Slagboom, M., Nielsen, H. M., Kargo, M., Henryon, M.
& Hansen, L. S. (2024).
The effect of phenotyping, adult selection, and mating strategies on genetic gain and rate of inbreeding in black soldier fly breeding programs.
Genetics Selection Evolution,
56(1), Artikel 71.
https://doi.org/10.1186/s12711-024-00938-y
Chu, T. T., Kristensen, P. S. & Jensen, J. (2024).
Correction to: Simulation of functional additive and non-additive genetic effects using statistical estimates from quantitative genetic models (Heredity, (2024), 133, 1, (33-42), 10.1038/s41437-024-00690-5).
Heredity,
133(5), 369.
https://doi.org/10.1038/s41437-024-00725-x
Gholipourshahraki, T., Bai, Z., Shrestha, M., Hjelholt, A., Hu, S.
, Kjolby, M., Rohde, P. D.
& Sørensen, P. (2024).
Evaluation of Bayesian Linear Regression models for gene set prioritization in complex diseases.
PLOS Genetics,
20(11), Artikel e1011463.
https://doi.org/10.1371/journal.pgen.1011463
Smith, A. G.
, Malinowska, M., Ruud, A. K.
, Janss, L., Krusell, L., Jensen, J. D.
& Asp, T. (2024).
Automated seminal root angle measurement with corrective annotation.
AoB Plants,
16(5), Artikel plae046.
https://doi.org/10.1093/aobpla/plae046
Johansen, K., Vestergaard, M., Spleth, P.
, Hein, L., Nielsen, H. M. & Kargo, M. (2024).
Growth and feed efficiency of Nordic Red Dairy Cattle, Holstein, and their F1 crossbreeds when limiting feed energy concentration in prepubertal heifers.
Journal of Dairy Science,
107(10), 7973-7982.
https://doi.org/10.3168/jds.2024-24904
De Pol, F., Baranowski, M.
, Neumann, C., Trampari, S., Nissen, P. & Pérez, J. (2024).
Simulation and modelling of the detergent corona around the membrane protein MhsT based on SAXS data.
Journal of Applied Crystallography,
57, 1415-1425.
https://doi.org/10.1107/S1600576724006721
Stefanucci, L.
, Moslemi, C., Tomé, A. R., Virtue, S., Bidault, G., Gleadall, N. S., Watson, L. P. E., Kwa, J. E., Burden, F., Farrow, S., Banasik, K., Bay, J.
, Boldsen, J. K., Brodersen, T., Brunak, S., Burgdorf, K., Chalmer, M. A., Didriksen, M.
, Dinh, K. M. ... Frontini, M. (2024).
SMIM1 absence is associated with reduced energy expenditure and excess weight.
Med,
5(9), 1083-1095.e6.
https://doi.org/10.1016/j.medj.2024.05.015
Tilhou, N. W., Lee, D. K.
, Ramstein, G. P., Poudel, H. P., Edme, S. J. & Casler, M. D. (2024).
Empirical comparison of genomic selection to phenotypic selection for biomass yield of switchgrass.
Agronomy Journal,
116(5), 2318-2327.
https://doi.org/10.1002/agj2.21639
Yang, H., Yang, L., Qian, J., Xu, L.
, Lin, L. & Su, G. (2024).
Information of Growth Traits Is Helpful for Genetic Evaluation of Litter Size in Pigs.
Animals,
14(18), Artikel 2669.
https://doi.org/10.3390/ani14182669
Stephansen, R. B., Martin, P., Manzanilla-Pech, C. I. V.
, Giagnoni, G., Madsen, M. D., Ducrocq, V.
, Weisbjerg, M. R., Lassen, J. & Friggens, N. C. (2024).
Review: Improving residual feed intake modelling in the context of nutritional- and genetic studies for dairy cattle.
ANIMAL,
18(9), Artikel 101268.
https://doi.org/10.1016/j.animal.2024.101268
Cai, Z., Hansen, L. S., Laursen, S. F.
, Nielsen, H. M., Bahrndorff, S., Tomberlin, J. K., Kristensen, T. N.
, Sørensen, J. G. & Sahana, G. (2024).
Whole-genome sequencing of two captive black soldier fly populations: Implications for commercial production.
Genomics,
116(5), Artikel 110891.
https://doi.org/10.1016/j.ygeno.2024.110891
Tenhunen, S., Thomasen, J. R., Sørensen, L. P., Berg, P.
& Kargo, M. (2024).
Genomic Analysis of Inbreeding and Coancestry in Nordic Jersey and Holstein Dairy Cattle Populations.
Journal of Dairy Science,
107(8), 5897-5912.
https://doi.org/10.3168/jds.2023-24553
Tang, X., Liu, P., Luo, N., Wen, J., Li, H., Zhao, G.
& An, B. (2024).
Mining Candidate Genes and Identifying Risk Factors for Leg Disease in Broilers: A Mendelian Randomization Study.
International Journal of Molecular Sciences ,
25(16), Artikel 8890.
https://doi.org/10.3390/ijms25168890
Liu, H., Christensen, O. F., Byskov, K., Eiríksson, J. H.
, Milkevych, V., Thomasen, J. R. & Karaman, E. (2024).
Evaluating different software and methodologies for tracing breed origin of alleles in crossbred dairy cattle.
Zaalberg, R. M., Nielsen, H. M., Noer, N. K., Schou, T. M.
, Jensen, K., Thormose, S., Kargo, M. & Slagboom, M. (2024).
A bio-economic model for estimating economic values of important production traits in the black soldier fly (Hermetia illucens).
Journal of Insects as Food and Feed,
10(8), 1411-1421.
https://doi.org/10.1163/23524588-00001126
Roy, D. B.
, Alison, J., August, T. A., Bélisle, M.
, Bjerge, K., Bowden, J. J., Bunsen, M. J., Cunha, F.
, Geissmann, Q., Goldmann, K., Gomez-Segura, A., Jain, A., Huijbers, C., Larrivée, M., Lawson, J. L.
, Mann, H. M., Mazerolle, M. J., McFarland, K. P., Pasi, L.
... Høye, T. T. (2024).
Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects.
Philosophical Transactions of the Royal Society B: Biological Sciences,
379(1904), Artikel 20230108.
https://doi.org/10.1098/rstb.2023.0108
Andersen, M. N. (red.), Adamsen, A. P. S. (red.), Lærke, P. E., Ugilt Larsen, S., Jørgensen, U., Olesen, J. E., Manevski, K., Bay, S. S., Hutchings, N., Hansen, E. M., Munkholm, L. J., Børgesen, C. D., Thomsen, I. K., Elsgaard, L., Petersen, S. O., Toda, M., Ntinyari, W., Sørensen, P., Audet, J. ... Nielsen, H. M. (2024).
Virkemidler til reduktion af klimagasser i landbruget - 2024. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Bind 2024 Nr. 227
https://dcapub.au.dk/djfpublikation/djfpdf/DCArapport227.pdf
Li, T., Xu, H., Teng, S., Suo, M., Bahitwa, R., Xu, M., Qian, Y.
, Ramstein, G. P., Song, B., Buckler, E. S. & Wang, H. (2024).
Modeling 0.6 million genes for the rational design of functional cis-regulatory variants and de novo design of cis-regulatory sequences.
Proceedings of the National Academy of Sciences of the United States of America,
121(26), Artikel e2319811121.
https://doi.org/10.1073/pnas.2319811121
Zhao, F., Xie, R.
, Fang, L., Xiang, R., Yuan, Z., Liu, Y. & Wang, L. (2024).
Analysis of 206 whole-genome resequencing reveals selection signatures associated with breed-specific traits in Hu sheep.
Evolutionary Applications,
17(6), Artikel e13697.
https://doi.org/10.1111/eva.13697
Giagnoni, G., Lassen, J., Lund, P., Foldager, L., Johansen, M. & Weisbjerg, M. R. (2024).
Feed intake in housed dairy cows: validation of a three-dimensional camera−based feed intake measurement system.
ANIMAL,
18(6), Artikel 101178.
https://doi.org/10.1016/j.animal.2024.101178
Olesen, J. E., Lund, P., Feilberg, A., Villumsen, T. M., Kristensen, H. L., Winding, A., Zak, D. H., Andersen, M. N., Lærke, P. E., Petersen, S. O., Elsgaard, L., Jensen, J. L., Eriksen, J., Munkholm, L. J., Nørgaard, J. V., Weisbjerg, M. R., Børsting, C. F., Kristensen, N. B., Østergaard, S. ... Poulsen, N. A. (2024).
Estimering af videns- og finansieringsbehov for opnåelse af klimamål i 2030. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug
Legarra, A., Bermann, M., Mei, Q.
& Christensen, O. F. (2024).
Redefining and interpreting genomic relationships of metafounders.
Genetics, selection, evolution : GSE,
56(1), Artikel 34.
https://doi.org/10.1186/s12711-024-00891-w
Tang, Y., Zhang, J., Li, W., Liu, X., Chen, S., Mi, S., Yang, J., Teng, J.
, Fang, L. & Yu, Y. (2024).
Identification and characterization of whole blood gene expression and splicing quantitative trait loci during early to mid-lactation of dairy cattle.
BMC Genomics,
25(1), Artikel 445.
https://doi.org/10.1186/s12864-024-10346-7
Yang, L., Yin, H., Bai, L., Yao, W., Tao, T., Zhao, Q., Gao, Y., Teng, J., Xu, Z., Lin, Q., Diao, S., Pan, Z., Guan, D., Li, B., Zhou, H., Zhou, Z., Zhao, F., Wang, Q., Pan, Y. ... Liu, G. E. (2024).
Mapping and functional characterization of structural variation in 1060 pig genomes.
Genome Biology,
25(1), Artikel 116.
https://doi.org/10.1186/s13059-024-03253-3
Zaalberg, R. M., Clasen, J. B., Bovbjerg, H.
, Jensen, J., Villumsen, T. M. & Chu, T. T. (2024).
The effects of phenotyping and genotyping strategies, and the use of conventional or organic sires on genetic gain in an organic pig population.
Livestock Science,
283, Artikel 105456.
https://doi.org/10.1016/j.livsci.2024.105456
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
Olesen, J. E., Andersen, M. N., Greve, M. H., Sørensen, J. T., Nørgaard, J. V., Weisbjerg, M. R., Henriksen, B. I. F., Rasmussen, M. D., Villumsen, T. M., Ottosen, C.-O., Kristensen, H. L. & Jensen, M., (2024).
Oplistning af forskningsspørgsmål og -emner relevant for klimatilpasning af landbruget, Nr. 2024-0666449, 15 s., apr. 25, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Song, H., Chu, J., Li, W., Li, X.
, Fang, L., Han, J., Zhao, S. & Ma, Y. (2024).
A Novel Approach Utilizing Domain Adversarial Neural Networks for the Detection and Classification of Selective Sweeps.
Advanced Science,
11(14), Artikel 2304842.
https://doi.org/10.1002/advs.202304842
Gebreyesus, G., Secher, J. B.
, Lund, M. S., Kupisiewicz, K., Ivask, M., Hallap, T., Pärn, P.
& Su, G. (2024).
Genetic parameters for bull effects on in vitro embryo production (IVP) and relationship between semen quality traits and IVP performance.
Animal Reproduction Science,
263, 107436. Artikel 107436.
https://doi.org/10.1016/j.anireprosci.2024.107436
Lund, P., Hojberg, O., Børsting, C. F., Nielsen, M. O., Villumsen, T. M. & Weisbjerg, M. R. (2024).
Kan koen blive klimavenlig? Køer og andre drøvtyggere producerer metan, men gennem fodringsstrategier kan emissionen reduceres.
Dansk Kemi,
105(2), 16-18.
Tao, K., Jensen, I. T., Zhang, S., Villa-Rodríguez, E., Blahovska, Z., Salomonsen, C. L., Martyn, A., Björgvinsdóttir, Þ. N., Kelly, S., Janss, L., Glasius, M., Waagepetersen, R.
& Radutoiu, S. (2024).
Nitrogen and Nod factor signaling determine Lotus japonicus root exudate composition and bacterial assembly.
Nature Communications,
15(1), Artikel 3436.
https://doi.org/10.1038/s41467-024-47752-0
Olesen, J. E., Andersen, M. N., Lund, P., Feilberg, A., Villumsen, T. M., Kristensen, H. L., Nielsen, O.-K., Zak, D. H., Lærke, P. E., Nørgaard, J. V., Kidmose, U., Jensen, M., Mogensen, L. & Knudsen, M. T. (2024).
Finansieringsbehov til afdækning af centrale vidensbehov for en mere klimavenlig landbrugsproduktion. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug
Hansen, L. S., Laursen, S. F., Bahrndorff, S.
, Kargo, M., Sørensen, J. G., Sahana, G., Nielsen, H. M. & Kristensen, T. N. (2024).
Dataset: Estimation of genetic parameters for the implementation of selective breeding in commercial insect production. Datasæt, Dryad Digital Repository.
https://doi.org/10.5061/dryad.kwh70rzc5
Noer, N. K.
, Rohde, P. D., Sørensen, P., Bahrndorff, S. & Kristensen, T. N. (2024).
Diurnal variation in genetic parameters for locomotor activity in Drosophila melanogaster assessed under natural thermal conditions.
Journal of Evolutionary Biology,
37(3), 336-345.
https://doi.org/10.1093/jeb/voae020
Rovere, G., de Los Campos, G.
, Gebreyesus, G., Savegnago, R. P.
& Buitenhuis, A. J. (2024).
Energy balance of dairy cows predicted by mid-infra-red spectra data of milk using Bayesian approaches.
Journal of Dairy Science,
107(3), 1561-1576.
https://doi.org/10.3168/jds.2023-23772
Degalez, F., Charles, M., Foissac, S., Zhou, H., Guan, D.
, Fang, L., Klopp, C., Allain, C., Lagoutte, L., Lecerf, F., Acloque, H., Giuffra, E., Pitel, F. & Lagarrigue, S. (2024).
Enriched atlas of lncRNA and protein-coding genes for the GRCg7b chicken assembly and its functional annotation across 47 tissues.
Scientific Reports,
14(1), Artikel 6588.
https://doi.org/10.1038/s41598-024-56705-y
Houlahan, K., Schenkel, F. S., Miglior, F., Jamrozik, J.
, Stephansen, R. B., González-Recio, O., Charfeddine, N., Segelke, D., Butty, A. M., Stratz, P., VandeHaar, M. J., Tempelman, R. J., Weigel, K., White, H., Peñagaricano, F., Koltes, J. E., Santos, J. E. P., Baldwin, R. L. & Baes, C. F. (2024).
Estimation of genetic parameters for feed efficiency traits using random regression models in dairy cattle.
Journal of Dairy Science,
107(3), 1523-1534.
https://doi.org/10.3168/jds.2022-23124
Tao, H., Abba, S. I., Al-Areeq, A. M., Tangang, F., Samantaray, S., Sahoo, A., Siqueira, H. V., Maroufpoor, S., Demir, V.
, Dhanraj Bokde, N., Goliatt, L., Jamei, M., Ahmadianfar, I., Bhagat, S. K., Halder, B., Guo, T., Helman, D. S., Ali, M., Sattar, S. ... Yaseen, Z. M. (2024).
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions.
Engineering Applications of Artificial Intelligence,
129, Artikel 107559.
https://doi.org/10.1016/j.engappai.2023.107559
Wang, A.
, Su, G., Brito, L. F., Zhang, H., Shi, R., Liu, D., Guo, G. & Wang, Y. (2024).
Investigating the relationship between fluctuations in daily milk yield as resilience indicators and health traits in Holstein cattle.
Journal of Dairy Science,
107(3), 1535-1548.
https://doi.org/10.3168/jds.2023-23495
van Staaveren, N., de Oliveira, H., Houlahan, K., Chud, T., Oliveira, G., Hailemariam, D., Kistemaker, G., Miglior, F., Plastow, G., Schenkel, F. S., Cerri, R., Sirard, M.-A., Stothard, P., Pryce, J., Butty, A., Stratz, P., Abdalla, E., Segelke, D., Stamer, E. ... Baes, C. F. (2024).
The Resilient Dairy Genome Project: a general overview of methods and objectives related to feed efficiency and methane emissions.
Journal of Dairy Science,
107(3), 1510-1522.
https://doi.org/10.3168/jds.2022-22951
Paina, C., Fois, M., Asp, T., Jensen, J., Hansen, P. B. & Rohde, P. D. (2024).
The soil microbiome of Lolium perenne L. depends on host genotype, is modified by nitrogen level and varies across season.
Scientific Reports,
14(1), Artikel 5767.
https://doi.org/10.1038/s41598-024-56353-2
Bokde, N. D., Patil, P. K., Sengupta, S., Sawant, M. & Feijóo-Lorenzo, A. E. (2024).
VedicDateTime: An R package to implement Vedic calendar system.
Multimedia Tools and Applications,
83(11), 32141-32157.
https://doi.org/10.1007/s11042-023-16553-w
Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C.
& Gebreyesus, G. (2024).
Computer-vision based prediction of body traits and larval sex in black soldier fly. 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
Chen, S., Liu, S., Shi, S., Yin, H., Tang, Y., Zhang, J., Li, W., Liu, G., Qu, K., Ding, X., Wang, Y., Liu, J., Zhang, S.
, Fang, L. & Yu, Y. (2024).
Cross-Species Comparative DNA Methylation Reveals Novel Insights into Complex Trait Genetics among Cattle, Sheep, and Goats.
Molecular Biology and Evolution,
41(2), Artikel msae003.
https://doi.org/10.1093/molbev/msae003
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
Madsen, M. D., Kristensen, P. S., Mahmood, K.
, Thach, T., Mohlfeld, M., Orabi, J., Sarup, P., Jahoor, A.
, Hovmøller, M. S., Rodriguez-Algaba, J. & Jensen, J. (2024).
Scald resistance in hybrid rye (Secale cereale): genomic prediction and GWAS.
Frontiers in Plant Science,
15, Artikel 1306591.
https://doi.org/10.3389/fpls.2024.1306591
Tessema, B. B., Raffo, M. A., Guo, X., Svane, S. F., Krusell, L., Jensen, J. D.
, Ruud, A. K., Malinowska, M., Thorup-Kristensen, K.
& Jensen, J. (2024).
Genomic prediction for root and yield traits of barley under a water availability gradient: a case study comparing different spatial adjustments.
Plant Methods,
20(1), Artikel 8.
https://doi.org/10.1186/s13007-023-01121-y
Westwood, M. L.
, Geissmann, Q., O'Donnell, A. J., Rayner, J., Schneider, W., Zuk, M., Bailey, N. W. & Reece, S. E. (2024).
Machine learning reveals singing rhythms of male Pacific field crickets are clock controlled.
Behavioral Ecology,
35(1), Artikel arad098.
https://doi.org/10.1093/beheco/arad098
Bouquet, A. E. R., Slagboom, M., Thomasen, J. R., Friggens, N. C.
, Kargo, M. & Puillet, L. (2024).
Combined mechanistic and genetic modelling to benchmark body reserve traits as proxies of dairy cows’ lifetime efficiency in grass-based production systems.
Animal,
18(1), Artikel 101035.
https://doi.org/10.1016/j.animal.2023.101035
Nawoya, S., Ssemakula, F., Akol, R.
, Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A.
& Gebreyesus, G. (2024).
Computer vision and deep learning in insects for food and feed production: A review.
Computers and Electronics in Agriculture,
216, Artikel 108503.
https://doi.org/10.1016/j.compag.2023.108503
Zeng, H., Zhang, W.
, Lin, Q., Gao, Y., Teng, J., Xu, Z., Cai, X., Zhong, Z., Wu, J., Liu, Y., Diao, S., Wei, C., Gong, W., Pan, X., Li, Z., Huang, X., Chen, X., Du, J., Zhao, F. ... PigGTEx Consortium (2024).
PigBiobank: a valuable resource for understanding genetic and biological mechanisms of diverse complex traits in pigs.
Nucleic Acids Research,
52(D1), D980-D989.
https://doi.org/10.1093/nar/gkad1080
Zaalberg, R. M., Nielsen, H. M., Noer, N. K., Schou, T. M.
, Jensen, K., Thormose, S., Kargo, M. & Slagboom, M. (2024).
A bio-economic model for estimating economic values of important production traits in the black soldier fly (Hermetia illucens). I
Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 633-633). EAAP.
https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf
Akol, R., Katumba, A., Mwikirize, C., Nakimbugwe, D., Ssemakula, F.
, Nawoya, S., Geoffrey, S.
& Gebreyesus, G. (2024).
Application of emerging technologies in insect monitoring and rearing. 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
Cheruiyot Bett , R.
, Gebreyesus, G., Maweu, A., Nkirote Kunyanga , C., Abigael, N., Philip, T., Geoffrey, S., MBI Tanga, C.
& Sahana, G. (2024).
Characterization of black soldier fly production systems and traits preferences in Kenya. 23. 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
Jensen, K., Thormose, S., Noer, N. K., Schou, T. M.
, Kargo, M., Gligorescu, A., Nørgaard, J. V., Zaalberg, R. M., Nielsen, H. M. & Kristensen, T. N. (2024).
Consecutive mating of black soldier fly males to produce full- and half-sibling offspring. Abstract fra EAAP Florence, Italy.
Jensen, K., Thormose, S. F., Noer, N. K., Schou, T. M.
, Kargo, M., Gligorescu, A., Nørgaard, J. V., Hansen, L. S., Zaalberg, R. M., Nielsen, H. M. & Kristensen, T. N. (2024).
Controlled and polygynous mating in the black soldier fly: advancing breeding programs through quantitative genetic designs.
https://doi.org/10.1101/2024.09.09.611978