Methane (CH₄) production by dairy cattle is one of the major sources of greenhouse gases in agriculture, significantly contributing to climate change. This thesis examines various methods for estimating methane emissions in dairy cattle, focusing on both direct and indirect measurement techniques, as well as analyzing the factors influencing methane production, such as diet, management practices, and physiological characteristics of the animals. Among the methods explored are the use of respiration chambers, monitoring emitted gases via sensors, and the application of mathematical models to predict emissions based on environmental and dietary variables. The aim of this work is to assess the reliability and feasibility of each approach, providing an overview of the most promising technologies for estimating and managing methane emissions in order to reduce the environmental impact of livestock farming.
La produzione di metano (CH₄) da parte delle bovine da latte rappresenta una delle principali fonti di gas serra nell’ambito dell'agricoltura, contribuendo significativamente ai cambiamenti climatici. La tesi esamina diversi metodi di stima delle emissioni di metano nelle bovine da latte, focalizzandosi su tecniche di misurazione diretta e indiretta, e sull'analisi dei fattori che influenzano la quantità di metano prodotto, come la dieta, la gestione e le caratteristiche fisiologiche degli animali. Tra i metodi esplorati, si trovano l'uso di camere di respirazione, il monitoraggio dei gas emessi tramite sensori e l’applicazione di modelli matematici per predire le emissioni in base a variabili ambientali e alimentari. L’obiettivo del lavoro è valutare l’affidabilità e la praticabilità di ciascun approccio, offrendo una panoramica delle tecnologie più promettenti per la stima e la gestione delle emissioni di metano in modo da ridurre l’impatto ambientale delle aziende zootecniche.
Metodi di stima del metano enterico nelle bovine da latte
DAL SANTO, TOMMASO
2024/2025
Abstract
Methane (CH₄) production by dairy cattle is one of the major sources of greenhouse gases in agriculture, significantly contributing to climate change. This thesis examines various methods for estimating methane emissions in dairy cattle, focusing on both direct and indirect measurement techniques, as well as analyzing the factors influencing methane production, such as diet, management practices, and physiological characteristics of the animals. Among the methods explored are the use of respiration chambers, monitoring emitted gases via sensors, and the application of mathematical models to predict emissions based on environmental and dietary variables. The aim of this work is to assess the reliability and feasibility of each approach, providing an overview of the most promising technologies for estimating and managing methane emissions in order to reduce the environmental impact of livestock farming.| File | Dimensione | Formato | |
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Tesi_Triennale_Tommaso_Dal_Santo_2025.pdf
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https://hdl.handle.net/20.500.12608/88149