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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, Article 108503. https://doi.org/10.1016/j.compag.2023.108503

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Mukherjee, A., Cai, Z. & Mukherjee, S. (2024). Editorial: Application of genomics in livestock populations under selection or conservation. Frontiers in Genetics, 15, Article 1363839. https://doi.org/10.3389/fgene.2024.1363839

Shewale, A., Mokhade, A., Lipare, A. & Bokde, N. D. (2024). Efficient Techniques for Residential Appliances Scheduling in Smart Homes for Energy Management Using Multiple Knapsack Problem. Arabian Journal for Science and Engineering, 49(3), 3793-3813. https://doi.org/10.1007/s13369-023-08178-w

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

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

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Speed, D. & Evans, D. M. (2024). Estimating disease heritability from complex pedigrees allowing for ascertainment and covariates. American Journal of Human Genetics, 111(4), 680-690. https://doi.org/10.1016/j.ajhg.2024.02.010

Legarra, A., Bermann, M., Mei, Q. & Christensen, O. F. (2024). Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation-maximization maximum likelihood and increase of relationships. Genetics Selection Evolution, 56(1), 35. Article 35. https://doi.org/10.1186/s12711-024-00892-9

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

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. Article 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), Article 1236. https://doi.org/10.1186/s12864-024-11026-2

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), Article e1011463. https://doi.org/10.1371/journal.pgen.1011463

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), Article 101178. https://doi.org/10.1016/j.animal.2024.101178

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. Article 107436. https://doi.org/10.1016/j.anireprosci.2024.107436

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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

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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), Article 65. https://doi.org/10.1186/s12711-024-00932-4

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

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, Article 107559. https://doi.org/10.1016/j.engappai.2023.107559

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), Article 445. https://doi.org/10.1186/s12864-024-10346-7

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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), Article 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), Article 104338. https://doi.org/10.1016/j.psj.2024.104338

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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), Article arad098. https://doi.org/10.1093/beheco/arad098

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Legarra, A., Bermann, M., Mei, Q. & Christensen, O. F. (2024). Redefining and interpreting genomic relationships of metafounders. Genetics, selection, evolution : GSE, 56(1), Article 34. https://doi.org/10.1186/s12711-024-00891-w

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Chu, T. T., Kristensen, P. S. & Jensen, J. (2024). Simulation of functional additive and non-additive genetic effects using statistical estimates from quantitative genetic models. Heredity, 133(1), 33-42. https://doi.org/10.1038/s41437-024-00690-5

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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), Article 71. https://doi.org/10.1186/s12711-024-00938-y

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, Article 105456. https://doi.org/10.1016/j.livsci.2024.105456

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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), Article 5767. https://doi.org/10.1038/s41598-024-56353-2

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), Article 20230108. https://doi.org/10.1098/rstb.2023.0108

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

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

Londhe, D. S., Katpatal, Y. B., Mukesh, M. S. & Bokde, N. D. (2024). Vegetation dynamics and its driving factors in agro-climatic zones of Upper Bhima Sub-basin, Western India. International Journal of Environmental Science and Technology, 21(3), 2367-2382. https://doi.org/10.1007/s13762-023-05094-2

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), Article 110891. https://doi.org/10.1016/j.ygeno.2024.110891