Quality and Safety of Food and Feed

Aufsätze in referierten Fachzeitschriften [16 Results]

• 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
• Kabelitz, T.; Kashongwe, O.; Doherr, M.; Nübel, U.; Heuwieser, W.; Ammon, C.; Bolona, P.; Keane, O.; Amon, T.; Amon, B. (2024): Occurrence, treatment and pathogens involved in mastitis on a commercial German dairy farm: A case report from 2012 to 2021. Journal of Advanced Veterinary and Animal Research. (11): p. 856-868. Online: http://doi.org/10.5455/javar.2024.k837
• Behrens, W.; Kolte, B.; Junker, V.; Frentrup, M.; Dolsdorf, C.; Börger, M.; Jaleta, M.; Kabelitz, T.; Amon, T.; Werner, D.; Nübel, U. (2023): Bacterial genome sequencing tracks housefly-associated dispersal of fluoroquinolone- and cephalosporin-resistant Escherichia coli from a pig farm. Environmental Microbiology. : p. 0. Online: https://doi.org/10.1111/1462-2920.16352
• Münch, S.; Papke, N.; Leue, M.; Faust, M.; Schepanski, K.; Siller, P.; Roesler, U.; Nübel, U.; Kabelitz, T.; Amon, T.; Funk, R. (2021): Differences in the sediment composition of wind eroded sandy soils before and after fertilization with poultry manure. Soil and Tillage Research. : p. 105205. Online: https://doi.org/10.1016/j.still.2021.105205
• Kabelitz, T.; Aubry, E.; van Vrost, K.; Amon, T.; Fulde, M. (2021): The role of streptococcus spp. in bovine mastitis. Microorganisms. (7): p. 1497. Online: https://doi.org/10.3390/microorganisms9071497
• Frentrup, M.; Thiel, N.; Junker, V.; Behrens, W.; Münch, S.; Siller, P.; Kabelitz, T.; Faust, M.; Indra, A.; Baumgartner, S.; Schepanski, K.; Amon, T.; Roesler, U.; Funk, R.; Nübel, U. (2021): Agricultural fertilization with poultry manure results in persistent environmental contamination with the pathogen Clostridioides difficile. Environmental Microbiology. (12): p. 7591-7602. Online: https://doi.org/10.1111/1462-2920.15601

Vorträge und Poster [41 Results]

• Dharejo, M.; Kashongwe, O.; Minogue, L.; Kabelitz, T.; Amon, T.; Doherr, M. (2025): Farm-specific effects in predicting mastitis by applying machine learning models to automatic milking system (AMS) data.
• Dharejo, M.; Kashongwe, O.; Minogue, L.; Kabelitz, T.; Amon, T.; 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.
• Dharejo, M.; Kashongwe, O.; Minogue, L.; Kabelitz, T.; Amon, T.; 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.
• Minogue, L.; Kabelitz, T.; Kashongwe, O. (2025): Detection of clinical mastitis in dairy cows by automatic image classification of a visual trap detector.
• Jaleta, M.; Nübel, U.; Werner, D.; Hölzel, C.; Amon, T.; Kabelitz, T. (2025): Influence of hygiene improvements on antimicrobial resistance occurrence in pig husbandry and the role of flies as transmission vectors.
• Atanasova, A.; Amon, T.; Friese, A.; Rösler, U.; Merle, R.; Herrmann, C.; Kraus, A.; Kabelitz, T. (2025): Impact of Carbon-to-Nitrogen Ratio and Temperature on the Survival of Antibiotic-Resistant and Non-Resistant Escherichia coli and the Abundance of Antimicrobial Resistance Genes in Chicken Manure and during its Anaerobic Digestion.
• Jaleta, M.; Kabelitz, T.; Zentek, J.; Amon, T. (2024): The attempt to improve barn hygiene of weaned pigs with the aim of reducing the spread of antimicrobial resistance.
• Jaleta, M.; Junker, V.; Kolte, B.; Börger, M.; Wener, D.; Dolsdo, C.; Schwenke, J.; Hölzel, C.; Zentek, J.; Amon, T.; Nübel, U.; Kabelitz, T. (2024): Antimicrobial resistance spread in pig husbandry: Mechanism and possible intervention.
• Jaleta, M.; Junker, V.; Kolte, B.; Börger, M.; Werner, D.; Dolsdo, C.; Schwenke, J.; Hölzel, C.; Zentek, J.; Amon, T.; Nübel, U.; Kabelitz, T. (2024): Mitigating AMR spread: molecular assessment of hygiene improvement trials in weaned piglet flat decks.
• Jaleta, M.; Junker, V.; Kolte, B.; Börger, M.; Werner, D.; Dolsdo, C.; Schwenke, J.; Hölzel, C.; Zentek, J.; Amon, T.; Nübel, U.; Kabelitz, T. (2024): Mitigating AMR spread: molecular assessment of hygiene improvement trials in weaned piglet flat decks.