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Mayer, M., Schlippe Justicia, L. & Rojas, B. (2025). Phenotypic divergence across populations does not affect habitat selection in an Amazonian poison frog. Global Ecology and Conservation, 57, Article e03358. https://doi.org/10.1016/j.gecco.2024.e03358

Sieradzki, E. T., Allen, G. M., Kimbrel, J. A., Nicol, G. W., Hazard, C., Nuccio, E., Blazewicz, S. J., Pett-Ridge, J. & Trubl, G. (2025). Phosphate amendment drives bloom of RNA viruses after soil wet-up. Soil Biology and Biochemistry, 205, Article 109791. https://doi.org/10.1016/j.soilbio.2025.109791

Chrysanthopoulos, S., Sica, P., Han, E., Bornø, M. L., Germon, A., Brito, L., Coutinho, J., Müller-Stöver, D. & Fangueiro, D. (2025). Phosphorus dynamics in a sandy soil amended with ph-modified pig slurry: insights from a rhizobox study using ³³P isotopes. Plant and Soil, Article 145618. Advance online publication. https://doi.org/10.1007/s11104-025-07547-8

Luo, R., Kuzyakov, Y., Chen, J., Qiang, W., Zhang, Y. & Pang, X. (2025). Phosphorus enrichment mediates the responses of plant lignin and microbial necromass accumulation to nitrogen addition in subalpine forest soil. Geoderma, 458, Article 117317. https://doi.org/10.1016/j.geoderma.2025.117317

Velasco-Sánchez, Hu, Y., Sommers, S. G., Moinet, G. Y. K., Van Groenigen, J. W., Trinsoutrot-Gattin, I. & Bennegadi-Laurent, N. (2025). Phosphorus fertilization of grasses with dairy processing waste materials and contributions of soil microorganisms towards phosphorus uptake. Geoderma, 460, Article 117406. https://doi.org/10.1016/j.geoderma.2025.117406

Galatius, A., Kinze, C. C., Olsen, M. T., Tougaard, J., Gotzek, D. & McGowen, M. R. (2025). Phylogenomic, morphological and acoustic data support a revised taxonomy of the lissodelphinine dolphin subfamily. Molecular Phylogenetics and Evolution, 205, Article 108299. https://doi.org/10.1016/j.ympev.2025.108299

Mathiasen, S. S., Guo, Z., Fritzen, A. M., Kiens, B., Kleinert, M. & Wiking, L. (2025). Physical properties and stability of milk fat retentate fraction from short-path distillation. International Dairy Journal, 169, Article 106310. https://doi.org/10.1016/j.idairyj.2025.106310

Norouzi, S., Pesch, C., Arthur, E., Norgaard, T., Moldrup, P., Greve, M. H., Beucher, A. M., Sadeghi, M., Zaresourmanabad, M., Tuller, M., Iversen, B. V. & de Jonge, L. W. (2025). Physics-Informed Neural Networks for Estimating a Continuous Form of the Soil Water Retention Curve From Basic Soil Properties. Water Resources Research, 61(3), Article e2024WR038149. https://doi.org/10.1029/2024WR038149

Sorty, A. M., Zervas, A., Kisielius, V., Pandey, C., Hennessy, R. C., Nielsen, T. K., Carvalho, P. N., Roitsch, T. G. & Stougaard, P. (2025). Physiological and metabolic effects of a transposon-mediated mutation in the glutamate synthase gene, gltB, of plant-beneficial, cytokinin-producing Pseudomonas hormoni G20-18^T. Rhizosphere, 35, Article 101129. https://doi.org/10.1016/j.rhisph.2025.101129

Cakmak, H., Düven, G., Gultekin Subasi, B., Ilyasoglu Buyukkestelli, H., Bravo-Núñez, Á., Ozyurt, V. H., Sogut, E. & Simsek, S. (2025). Plant-based fermented foods: General concepts, improvement of the quality, metabolites, and health-related functions. Food Bioscience, 69, Article 106960. https://doi.org/10.1016/j.fbio.2025.106960

García Criado, M., Myers-Smith, I. H., Bjorkman, A. D., Elmendorf, S. C., Normand, S., Aastrup, P., Aerts, R., Alatalo, J. M., Baeten, L., Björk, R. G., Björkman, M. P., Boulanger-Lapointe, N., Butler, E. E., Cooper, E. J., Cornelissen, J. H. C., Daskalova, G. N., Fadrique, B., Forbes, B. C., Henry, G. H. R. ... Vellend, M. (2025). Plant diversity dynamics over space and time in a warming Arctic. Nature, 642, 653–661. Article e06604. https://doi.org/10.1038/s41586-025-08946-8

Farooqi, A., ul Haq, E., Johansen, A., Ellegaard-Jensen, L., Iqbal, M., Yousaf, S. & Lackner, M. (2025). Plant growth-promoting bacteria and nanomaterials synergism to enhance Lolium perenne growth and phytoremediation in cadmium-contaminated soil. Chemical Engineering Journal Advances, 21, Article 100695. https://doi.org/10.1016/j.ceja.2024.100695

Han, J., Luo, Y., Zhang, Z., Xu, J., Chen, Y., Asseng, S., Jägermeyr, J., Müller, C., Olesen, J. E., Rötter, R. & Tao, F. (2025). Planting area and production decreased for winter-triticeae crops but increased for rapeseed in Ukraine with climatic impacts dominating. Geography and Sustainability, 6(2), Article 100226. https://doi.org/10.1016/j.geosus.2024.08.006

Engedal, T., Hansen, V., Rasmussen, J., Magid, J., Mueller, C. W., Thomsen, S. T., Sørensen, H. & Jensen, L. S. (2025). Plant organ rather than cover crop species determines residue incorporation into SOC pools. Soil Biology and Biochemistry, 200, Article 109616. https://doi.org/10.1016/j.soilbio.2024.109616

Laursen, N. F., Nielsen, G. M., Christiansen, M. B. J., Li, R., Corredig, M. & Christensen, C. H. (2025). Plant proteins as substitutes for egg white protein in food foams: Meringues as a model system. Food Structure, 44, Article 100417. https://doi.org/10.1016/j.foostr.2025.100417

Sorty, A. M., Kudjordjie, E. N., Meena, K. K., Nicolaisen, M. & Stougaard, P. (2025). Plant root exudates: Advances in belowground signaling networks, resilience, and ecosystem functioning for sustainable agriculture. Plant Stress, 17, Article 100907. https://doi.org/10.1016/j.stress.2025.100907

Berrandou, T. E., Cordina-Duverger, E., Mulot, C., Guizard, A. V., Schvartz, C., Laurent-Puig, P., Zidane, M., De Vathaire, F., Guénel, P. & Truong, T. (2025). Polymorphisms in circadian rhythm genes and the risk of differentiated thyroid cancer. Frontiers in Genetics, 16, Article 1539090. https://doi.org/10.3389/fgene.2025.1539090

Njeru, H. K., Knudsen, K. E. B., Stobbs, J. A., Tu, K. & Woyengo, T. A. (2025). Porcine in vitro digestion and matrix structure of undigested residue of xylanase- and cellulase-supplemented maize and wheat. Journal of the Science of Food and Agriculture, 105(8), 4369-4378. https://doi.org/10.1002/jsfa.14179

Mehmood, W., Rasmussen, M. K., Rabinovich-Toidman, P., Lavon, N., Young, J. F. & Therkildsen, M. (2025). Postharvest changes in bovine satellite cells in vitro resemble postmortem conversion of muscle to meat. Food Chemistry, 483, Article 144292. https://doi.org/10.1016/j.foodchem.2025.144292

Cao, Y., Scharfenberger, U., Shatwell, T., Adrian, R., Agasild, H., Angeler, D. G., Beklioğlu, M., Çakıroğlu, A. L., Hejzlar, J., Papastergiadou, E., Šorf, M., Stefanidis, K., Søndergaard, M., Zingel, P. & Jeppesen, E. (2025). Predicting daily net ecosystem production in shallow lakes from dissolved oxygen saturation levels: a pan-European mesocosm experiment and modelling approach. Hydrobiologia, 852(2), 471-487. https://doi.org/10.1007/s10750-024-05714-z

Dahl, J. F., Schlangen, M., van der Goot, A. J. & Corredig, M. (2025). Predicting rheological parameters of food biopolymer mixtures using machine learning. Food Hydrocolloids, 160(Part 1), Article 110786. https://doi.org/10.1016/j.foodhyd.2024.110786

Cornwall, C. E., Nelson, W. A., Aguirre, J. D., Blain, C. O., Coyle, L., D’Archino, R., Desmond, M. J., Hepburn, C. D., Liggins, L., Shears, N. T. & Thomsen, M. S. (2025). Predicting the impacts of climate change on New Zealand’s seaweed-based ecosystems. New Zealand Journal of Botany, 63(1), 1-27. https://doi.org/10.1080/0028825X.2023.2245786

Pulina, A., Cammarano, D., Piseddu, F., Deiana, L., Sassu, A., Deidda, A., Gambella, F., Seddaiu, G. & Roggero, P. P. (2025). Predicting the nitrogen content of mediterranean forage crops: A remote sensing approach. European Journal of Agronomy, 164, Article 127518. https://doi.org/10.1016/j.eja.2025.127518

Kjær, L. J., Kirkeby, C. T., Boklund, A. E., Hjulsager, C. K., Fox, A. D. & Ward, M. P. (2025). Prediction models show differences in highly pathogenic avian influenza outbreaks in Japan and South Korea compared to Europe. Scientific Reports, 15(1), Article 6783. https://doi.org/10.1038/s41598-025-91384-3

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

Al Adnan, M., Babur, M., Farooq, F., Shahid, M., Ahmed, Z. & Das, P. (2025). Prediction of splitting tensile strength of fiber-reinforced recycled aggregate concrete utilizing machine learning models with SHAP analysis. Hybrid Advances, 11, Article 100507. https://doi.org/10.1016/j.hybadv.2025.100507

Tanaka, T. & Gislum, R. (2025). Prediction of winter wheat nitrogen status using UAV imagery, weather data, and machine learning. European Journal of Agronomy, 164, Article 127534. https://doi.org/10.1016/j.eja.2025.127534

Zingel, P., Boveri, M., Agasild, H. & Jeppesen, E. (2025). Preface: Secrets of shallow lakes—insights from research. Hydrobiologia, 852(2), 283-288. https://doi.org/10.1007/s10750-024-05741-w

Martín-Rivada, Á., Martos-Moreno, G., Guerra-Cantera, S., Campillo-Calatayud, A., Oxvig, C., Frystyk, J., Chowen, J. A., Barrios, V. & Argente, J. (2025). Prepubertal Children With Obesity Have High Free IGF-1 Levels and Accelerated Growth Despite Reduced Pappalysin Levels. Journal of Clinical Endocrinology and Metabolism, 110(3), e622-e629. https://doi.org/10.1210/clinem/dgae288

Kildea, S., Heick, T., Hutton, F., Bataille, C., Aldén, L., Kaneps, J., Mäe, A., Weigand, S., Zajc, J., Walker, A. S. & Hellin, P. (2025). Prevalence of key resistance alleles associated with DMI and SDHI fungicide resistance in European Zymoseptoria tritici populations in 2022. Journal of Plant Diseases and Protection, 132(1), Article 58. https://doi.org/10.1007/s41348-024-01049-y

Little, K., Vitali, R., Belcher, C. M., Kettridge, N., Pellegrini, A. F. A., Ford, A. E. S., Smith, A. M. S., Elliott, A., Voulgarakis, A., Stoof, C. R., Kolden, C. A., Schwilk, D. W., Kennedy, E. B., Newman Thacker, F. E., Millin-Chalabi, G. R., Clay, G. D., Morison, J. I., McCarty, J. L., Ivison, K. ... Doerr, S. (2025). Priority research directions for wildfire science: Views from a historically fire-prone and an emerging fire-prone country. Philosophical Transactions of the Royal Society B: Biological Sciences, 380(1924), Article 20240001. https://doi.org/10.1098/rstb.2024.0001

Damgaard, C. (2025). Processes and predictions in ecological models: logic and causality. Journal of Forecasting. https://doi.org/10.1002/for.3267

Syahrulawal, L., Torske, M. O., Sapkota, R., Næss, G. & Khanal, P. (2025). Production of mineral-enriched yellow mealworm (Tenebrio molitor) larvae through a seaweed-based dietary manipulation. Journal of Insects as Food and Feed, 1-21. Advance online publication. https://doi.org/10.1163/23524588-bja10237

Dahl, J. F., Carrara, M., Alinovi, M., Li, R. & Corredig, M. (2025). Production of novel pasta filata analogs containing pea protein isolate using a direct steam injection cooker stretcher: Changes in microstructure and texture. Food Structure, 44, Article 100430. https://doi.org/10.1016/j.foostr.2025.100430

Jaeger, S. R., Andersen, G. B. H. & Ares, G. (2025). Product names and descriptions matter for consumer perceptions of plant-based alternatives to meat and fish: Insights from the United Kingdom. Food Quality and Preference, 133, Article 105624. https://doi.org/10.1016/j.foodqual.2025.105624

Gouvêa, L. P., Krause-Jensen, D., Duarte, C. M. & Assis, J. (2025). Projected impacts of future climate change on the aboveground biomass of seagrasses at global scale. Science of the Total Environment, 966, Article 178680. https://doi.org/10.1016/j.scitotenv.2025.178680

Yang, H., Cao, Y., Zhang, W., Pacheco, J. P., Liu, T., Zheng, Y., Jeppesen, E. & Wang, L. (2025). Prokaryotic and eukaryotic periphyton responses to warming, nutrient enrichment and small omnivorous fish: A shallow lake mesocosms experiment. Environmental Research, 269, Article 120942. https://doi.org/10.1016/j.envres.2025.120942

Wuijts, S., Graversgaard, M., Van Den Brink, C., Boekhold, S., Sundnes, F., Farrow, L., Surdyk, N., Cvejic, R., Tegner Anker, H., Belinskij, A. & Van Rijswick, M. (2025). Protection of water resources from agricultural pressures: Embracing different knowledge domains in governance approaches. Environmental Policy and Governance, 35(2), 201-213. https://doi.org/10.1002/eet.2136, https://doi.org/10.1002/eet.2136