The management of livestock through innovative precision livestock farming (PLF) tools is increasingly widespread in dairy cattle, which use advanced technologies to monitor and manage animal health and productivity of the animals. The goal is to optimize productivity, improve animal welfare, and reduce the enviromental impact of the livestock sector. Among the various PLF system, we highlight the presence of ruminal boluses, which have become increasingly widespraed in recent year. This type of sensor is non-invasive and allows the monitoring of various physiological parameters of cows and enviromental conditions. Boluses are used to optimize animal nutrition, monitor health and animal welfare, and support the farmer in livestock management. In this study, SmaXtec classic bolus (SmaXtec Animal Care GmbH, Graz, Austria) have been used on 45 lactating cows from a farm in the province of Cremona in a period between June 2023 and February 2024. The aim of this study is to analyse the effects of sources of variation on the variables measured and estimated by the boluses, which include temperature, rumen index, activity, heat index, and water intake. The variables are associated with several factors such as the month/season of the year, production level, parity, and stage of lactation. The results obtained, following statistical analysis, showed a significant influence of the month/season of the year on the measured parameters, as well as the level of milk production. However, this study was not sufficient to definitively understand the physiological mechanisms controlling the causes of variation in the variables studied. There is a need to conduct and further explore additional studies on these topics in the coming years.
La gestione degli allevamenti attraverso strumenti innovativi di precision livestock farming (PLF) è sempre più diffusa negli allevamenti di vacche da latte, i quali utilizzano tecnologie avanzate per monitorare e gestire la salute e la produttività degli animali. L’obiettivo è di ottimizzare la produttività e migliorare il benessere degli animali riducendo l’impatto ambientale del settore zootecnico. Tra i vari sistemi PLF evidenziamo la presenza nel mercato di boli ruminali, sempre più diffusi negli ultimi anni. Questa tipologia di sensori non è invasiva e consente di monitorare diversi parametri fisiologici delle bovine e ambientali. I boli sono impiegati per ottimizzare la nutrizione animale, monitorare la salute insieme al benessere animale e offrire supporto all’allevatore nella gestione dell’allevamento. In questo studio sono stati utilizzati boli SmaXtec classic bolus (SmaXtec Animal Care GmbH, Graz, Austria) inseriti in 45 vacche in lattazione provenienti da un allevamento nella provincia di Cremona in un periodo compreso tra giugno 2023 e febbraio 2024. L’obiettivo di questo studio è quello di analizzare gli effetti delle fonti di variazione sulle variabili misurate e stimate dai boli che comprendono temperatura, indice di ruminazione, attività, indice di calore e abbeverata. Le variabili sono associate a diversi fattori come il mese/stagione dell’anno, il livello di produzione, l’ordine di parto e lo stadio di lattazione. I risultati ottenuti, in seguito ad un’analisi statistica, hanno evidenziato un’influenza significativa del mese/stagione dell’anno sui parametri misurati, così come del livello di produzione di latte. Tuttavia questo studio non è stato sufficiente per comprendere definitivamente i meccanismi fisiologici che controllano le fonti di variazione delle variabili studiate. C’è necessità di effettuare ed approfondire, nei prossimi anni, ulteriori studi relativi a questi argomenti.
Effetti delle fonti di variazione individuale e ambientale su parametri rilevati dai boli ruminali nelle bovine da latte
MASETTO, FRANCESCO
2023/2024
Abstract
The management of livestock through innovative precision livestock farming (PLF) tools is increasingly widespread in dairy cattle, which use advanced technologies to monitor and manage animal health and productivity of the animals. The goal is to optimize productivity, improve animal welfare, and reduce the enviromental impact of the livestock sector. Among the various PLF system, we highlight the presence of ruminal boluses, which have become increasingly widespraed in recent year. This type of sensor is non-invasive and allows the monitoring of various physiological parameters of cows and enviromental conditions. Boluses are used to optimize animal nutrition, monitor health and animal welfare, and support the farmer in livestock management. In this study, SmaXtec classic bolus (SmaXtec Animal Care GmbH, Graz, Austria) have been used on 45 lactating cows from a farm in the province of Cremona in a period between June 2023 and February 2024. The aim of this study is to analyse the effects of sources of variation on the variables measured and estimated by the boluses, which include temperature, rumen index, activity, heat index, and water intake. The variables are associated with several factors such as the month/season of the year, production level, parity, and stage of lactation. The results obtained, following statistical analysis, showed a significant influence of the month/season of the year on the measured parameters, as well as the level of milk production. However, this study was not sufficient to definitively understand the physiological mechanisms controlling the causes of variation in the variables studied. There is a need to conduct and further explore additional studies on these topics in the coming years.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/72977