Prevalence of Locomotory System Disorders in Veal Calves and Risk Factors for Occurrence of Bursitis

The study aimed to assess the prevalence of locomotory system disorders within a wide cross-sectional study in 174 veal calves farms and to investigate risk factors associated to disorders with a relevant prevalence (>1%). A representative sample of the European veal production systems was considered in the three major producing countries (100 in NL, 50 in FR, 24 in IT). One batch/farm was observed in three stages of the fattening. At each visit calves with evidence of bursitis, hoof lesions, joint lesions, and lameness were recorded. A set of production system descriptors gathered by an interview to the farmer were considered as potential risks. Results showed an average prevalence ≤1% of calves for hoof and joint lesions, and lameness at any stage. Bursitis was observed on 0.2%, 4.1% and 11.2% of calves at 3, 13 wks and at the end of fattening, respectively. Risk factors for bursitis were linked to concrete and wooden slatted floors, to space allowance ≤1.8 m2/calf, and floors aged <8 years while type of housing system (small vs. large groups) was not relevant. There was a significant interaction between stage of fattening and type of floor on bursitis. At the early stage, slatted and bedded floor were similar while at the end of the fattening the highest least mean was observed for calves on concrete floors. Bedding materials had a preventive effect. Rubber or straw should be largely adopted for veal calves as alternative solutions to hard floors in order to improve animals’ comfort, locomotory system health and welfare status

Challenges and Tendencies of Automatic Milking Systems (AMS): A 20-Years Systematic Review of Literature and Patents

Over the last two decades, the dairy industry has adopted the use of Automatic Milking Systems (AMS). AMS have the potential to increase the effectiveness of the milking process and sustain animal welfare. This study assessed the state of the art of research activities on AMS through a systematic review of scientific and industrial research. The papers and patents of the last 20 years (2000–2019) were analysed to assess the research tendencies. The words appearing in title, abstract and keywords of a total of 802 documents were processed with the text mining tool. Four clusters were identified (Components, Technology, Process and Animal). For each cluster, the words frequency analysis enabled us to identify the research tendencies and gaps. The results showed that focuses of the scientific and industrial research areas complementary, with scientific papers mainly dealing with topics related to animal and process, and patents giving priority to technology and components. Both scientific and industrial research converged on some crucial objectives, such as animal welfare, process sustainability and technological development. Despite the increasing interest in animal welfare, this review highlighted that further progress is needed to meet the consumers’ demand. Moreover, milk yield is still regarded as more valuable compared to milk quality. Therefore, additional effort is necessary on the latter. At the process level, some gaps have been found related to cleaning operations, necessary to improve milk quality and animal health. The use of farm data and their incorporation on herd decision support systems (DSS) appeared optimal. The results presented in this review may be used as an overall assessment useful to address future research

Challenges and Tendencies of Automatic Milking Systems (AMS): A 20-Years Systematic Review of Literature and Patents

Over the last two decades, the dairy industry has adopted the use of Automatic Milking Systems (AMS). AMS have the potential to increase the effectiveness of the milking process and sustain animal welfare. This study assessed the state of the art of research activities on AMS through a systematic review of scientific and industrial research. The papers and patents of the last 20 years (2000–2019) were analysed to assess the research tendencies. The words appearing in title, abstract and keywords of a total of 802 documents were processed with the text mining tool. Four clusters were identified (Components, Technology, Process and Animal). For each cluster, the words frequency analysis enabled us to identify the research tendencies and gaps. The results showed that focuses of the scientific and industrial research areas complementary, with scientific papers mainly dealing with topics related to animal and process, and patents giving priority to technology and components. Both scientific and industrial research converged on some crucial objectives, such as animal welfare, process sustainability and technological development. Despite the increasing interest in animal welfare, this review highlighted that further progress is needed to meet the consumers’ demand. Moreover, milk yield is still regarded as more valuable compared to milk quality. Therefore, additional effort is necessary on the latter. At the process level, some gaps have been found related to cleaning operations, necessary to improve milk quality and animal health. The use of farm data and their incorporation on herd decision support systems (DSS) appeared optimal. The results presented in this review may be used as an overall assessment useful to address future research