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Amby, D. B., Sørensen, C. K., Abuley, I. K., Ravnskov, S., Skovgård, H., Melander, B., Nicolaisen, M. & Madsen, M. V., (2025).
Plantesundhedskontrol af frømarker - februar 2025, No. 2024-0777589, 67 p., Feb 28, 2025. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
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Plant growth-promoting bacteria and nanomaterials synergism to enhance Lolium perenne growth and phytoremediation in cadmium-contaminated soil.
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Planting area and production decreased for winter-triticeae crops but increased for rapeseed in Ukraine with climatic impacts dominating.
Geography and Sustainability,
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Plant organ rather than cover crop species determines residue incorporation into SOC pools.
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Plant proteins as substitutes for egg white protein in food foams: Meringues as a model system.
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Plant root exudates: Advances in belowground signaling networks, resilience, and ecosystem functioning for sustainable agriculture.
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Positive Role of Trichoderma harzianum in Increasing Plant Tolerance to Abiotic Stresses: A Review.
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Postharvest changes in bovine satellite cells in vitro resemble postmortem conversion of muscle to meat.
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Postmortem observations of one Arctic common eider (Somatria mollissima) and two thick-billed murres (Uria lomvia) following long-term implantation of PTT-100 satellite transmitters.
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Potentialet for videreudvikling af minivådområder med filtermatricer. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug
Chai, M., Huang, R., Zeng, Z., Chang, R., Tan, W.
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Potential of an adapting segment anything model (SAM) for automatically extracting supraglacial lakes from satellite imagery over the Greenland ice sheet.
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Potential use of multi-year UAV imagery for monitoring vegetation traits in grasslands.
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Predation pressure on sentinel prey does not necessarily diminish with advancing urbanization.
Insect Science,
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Predicting daily net ecosystem production in shallow lakes from dissolved oxygen saturation levels: a pan-European mesocosm experiment and modelling approach.
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Predicting potential Arctic kelp distribution and lower-depth biomass from seafloor irradiance.
Limnology and Oceanography: Methods. Advance online publication.
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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.
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Predicting the impacts of climate change on New Zealand’s seaweed-based ecosystems.
New Zealand Journal of Botany,
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Pulina, A.
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Predicting the nitrogen content of mediterranean forage crops: A remote sensing approach.
European Journal of Agronomy,
164, Article 127518.
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Kjær, L. J., Kirkeby, C. T., Boklund, A. E., Hjulsager, C. K.
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Prediction models show differences in highly pathogenic avian influenza outbreaks in Japan and South Korea compared to Europe.
Scientific Reports,
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning.
Smart Agricultural Technology,
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Al Adnan, M., Babur, M.
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Prediction of splitting tensile strength of fiber-reinforced recycled aggregate concrete utilizing machine learning models with SHAP analysis.
Hybrid Advances,
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Preliminary Evidence Linking Constipation to Cognitive Performance and Gut–Brain Coupling. Poster session presented at Neuroscience Academy Denmark (NAD) Annual Meeting 2025, Copenhagen, Denmark.