Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential
Mastitis represents a significant challenge for dairy farming, resulting in economic losses and environmental impacts. This study assesses a model for the evaluation of the impact of mastitis on dairy productivity and Global Warming Potential (GWP) under diverse management scenarios. The model consi...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/15/1/50 |
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| author | Giulia Ferronato Anna Simonetto Gianni Gilioli Alfonso Zecconi |
| author_facet | Giulia Ferronato Anna Simonetto Gianni Gilioli Alfonso Zecconi |
| author_sort | Giulia Ferronato |
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| description | Mastitis represents a significant challenge for dairy farming, resulting in economic losses and environmental impacts. This study assesses a model for the evaluation of the impact of mastitis on dairy productivity and Global Warming Potential (GWP) under diverse management scenarios. The model considers a range of factors, including bedding materials, milking systems, health surveillance, and overcrowding. The results of the simulation demonstrate that effective management, encompassing the utilization of sand bedding, and the presence of an annual herd health monitoring plan have the potential to reduce the prevalence of mastitis and enhance milk yield by up to 10% in milking parlors and 7% in automatic milking systems. At the herd level, the GWP ranged from 1.37 to 1.78 kg CO<sub>2</sub>eq/kg Fat- and Protein-Corrected Milk (FPCM), with the use of sand bedding resulting in a 14% reduction in GWP, while the utilization of non-composted manure-based materials led to an increase of 12%. The occurrence of overcrowding and a lack of adequate cleanliness in resting areas were found to have a markedly detrimental impact on both productivity and the environmental performance of cows. These findings illustrate the dual benefits of enhanced mastitis management, namely improved milk production and reduced environmental impact. They offer valuable insights for farmers and policymakers alike. |
| format | Article |
| id | doaj-art-722f71b3ce3c4362a3eb8d3f74fcd701 |
| institution | Kabale University |
| issn | 2076-2615 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj-art-722f71b3ce3c4362a3eb8d3f74fcd7012025-01-10T13:13:54ZengMDPI AGAnimals2076-26152024-12-011515010.3390/ani15010050Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming PotentialGiulia Ferronato0Anna Simonetto1Gianni Gilioli2Alfonso Zecconi3Department of Civil Engineering, Architecture, Environment, Land Planning and Mathematics (DICATAM), University of Brescia, 25121 Brescia, ItalyDepartment of Civil Engineering, Architecture, Environment, Land Planning and Mathematics (DICATAM), University of Brescia, 25121 Brescia, ItalyDepartment of Civil Engineering, Architecture, Environment, Land Planning and Mathematics (DICATAM), University of Brescia, 25121 Brescia, ItalyOne Health Unit, Department of Biomedical, Surgical and Dental Sciences, School of Medicine, University of Milan, 20133 Milan, ItalyMastitis represents a significant challenge for dairy farming, resulting in economic losses and environmental impacts. This study assesses a model for the evaluation of the impact of mastitis on dairy productivity and Global Warming Potential (GWP) under diverse management scenarios. The model considers a range of factors, including bedding materials, milking systems, health surveillance, and overcrowding. The results of the simulation demonstrate that effective management, encompassing the utilization of sand bedding, and the presence of an annual herd health monitoring plan have the potential to reduce the prevalence of mastitis and enhance milk yield by up to 10% in milking parlors and 7% in automatic milking systems. At the herd level, the GWP ranged from 1.37 to 1.78 kg CO<sub>2</sub>eq/kg Fat- and Protein-Corrected Milk (FPCM), with the use of sand bedding resulting in a 14% reduction in GWP, while the utilization of non-composted manure-based materials led to an increase of 12%. The occurrence of overcrowding and a lack of adequate cleanliness in resting areas were found to have a markedly detrimental impact on both productivity and the environmental performance of cows. These findings illustrate the dual benefits of enhanced mastitis management, namely improved milk production and reduced environmental impact. They offer valuable insights for farmers and policymakers alike.https://www.mdpi.com/2076-2615/15/1/50dairymastitisrisk assessmentglobal warming potential |
| spellingShingle | Giulia Ferronato Anna Simonetto Gianni Gilioli Alfonso Zecconi Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential Animals dairy mastitis risk assessment global warming potential |
| title | Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential |
| title_full | Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential |
| title_fullStr | Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential |
| title_full_unstemmed | Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential |
| title_short | Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential |
| title_sort | modeling mastitis risk management effects on dairy milk yield and global warming potential |
| topic | dairy mastitis risk assessment global warming potential |
| url | https://www.mdpi.com/2076-2615/15/1/50 |
| work_keys_str_mv | AT giuliaferronato modelingmastitisriskmanagementeffectsondairymilkyieldandglobalwarmingpotential AT annasimonetto modelingmastitisriskmanagementeffectsondairymilkyieldandglobalwarmingpotential AT giannigilioli modelingmastitisriskmanagementeffectsondairymilkyieldandglobalwarmingpotential AT alfonsozecconi modelingmastitisriskmanagementeffectsondairymilkyieldandglobalwarmingpotential |