Dr. Tina Kabelitz
Aufsätze in referierten Fachzeitschriften [21 Ergebnisse]
- Song, Z.; Rawat, A.; Herrmann, C.; Kabelitz, T.; Yi, Q.; Amon, B.; Janke, D.; Mehmood, T.; Vieira, S.; Overmann, J.; Amon, T. (2026): Inoculation effects on microbial and methane dynamics in daily filled dairy manure storage. Bioresource Technology. (455): p. 134831. Online: https://doi.org/10.1016/j.biortech.2026.134831
- Rawat, A.; Song, Z.; Amon, B.; Mehmood, T.; Kabelitz, T.; Janke, D.; Herrmann, C.; Overmann, J.; Vieira, S.; Amon, T. (2026): Investigation of dynamic processes in liquid manure storage in an in vitro system: Implications for methane emissions and modelling. Waste Management. (Juli): p. 115659. Online: https://doi.org/10.1016/j.wasman.2026.115659
- Jaleta, M.; Junker, V.; Hölzel, C.; Zentek, J.; Amon, T.; Nübel, U.; Kabelitz, T. (2026): Antimicrobial resistance genes in weaned pigs: quantitative abundance and group dynamics assessed by qPCR. Veterinary Microbiology. (12): p. 0. Online: https://doi.org/10.3389/fvets.2025.1709227
- Dharejo, M.; Kashongwe, O.; Amon, T.; Kabelitz, T.; Doherr, M. (2025): Farm-Specific Effects in Predicting Mastitis by Applying Machine Learning Models to Automated Milking System and Other Farm Management Data. animals. (15): p. 2825. Online: https://doi.org/10.3390/ani15192825
- Atanasova, A.; Amon, T.; Rösler, U.; Friese, A.; Merle, R.; Kabelitz, T. (2025): Temporal dynamics of antimicrobial resistance genes abundances in chicken manure and anaerobic digestate. Frontiert in Antibiotics. (4): p. 0. Online: https://doi.org/10.3389/frabi.2025.1612886
- Dharejo, M.; Minogue, L.; Kabelitz, T.; Amon, T.; Kashongwe, O.; Doherr, M. (2025): Time series data analysis to predict the status of mastitis in dairy cows by applying machine learning models to automated milking systems data. Preventive Veterinary Medicine. (242): p. 10675. Online: https://doi.org/10.1016/j.prevetmed.2025.106575
- Atanasova, A.; Amon, T.; Friese, A.; Rösler, U.; Merle, R.; Herrmann, C.; Kraus, A.; Kabelitz, T. (2025): Effects of Carbon-to-Nitrogen Ratio and Temperature on the Survival of Antibiotic-Resistant and Non-Resistant Escherichia coli During Chicken Manure Anaerobic Digestion. Agriculture. (4): p. 0. Online: https://doi.org/10.3390/poultry4010009
- Jaleta, M.; Junker, V.; Kolte, B.; Börger, M.; Werner, D.; Dolsdorf, C.; Schwenker, J.; Hölzel, C.; Zentek, J.; Amon, T.; Nübel, U.; Kabelitz, T. (2024): Improvements of weaned pigs barn hygiene to reduce the spread of antimicrobial resistance. Frontiers in Microbiology. (15): p. 0. Online: https://doi.org/10.3389/fmicb.2024.1393923
- Diaz de Otálora Aguirre, X.; del Prado, A.; Dragoni, F.; Balaine, L.; Pardo, G.; Winiwarter, W.; Sandrucci, A.; Ragaglini, G.; Kabelitz, T.; Kieronczyk, M.; Jorgensen, G.; Estellés, F.; Amon, B. (2024): Modelling the effect of context-specific greenhouse gas and nitrogen emission mitigation options in key European dairy farming systems. Agronomy for Sustainable Development. : p. 0. Online: https://link.springer.com/article/10.1007/s13593-023-00940-6
- Kashongwe, O.; Kabelitz, T.; Ammon, C.; Minogue, L.; Doherr, M.; Boloña, P.; Amon, T.; Amon, B. (2024): Influence of preprocessing methods of automated milking systems data on the prediction of mastitis with machine learning models. AgriEngineering. (6): p. 3427-3442. Online: https://doi.org/10.3390/agriengineering6030195