Mastitis is one of the most common infections on dairy farms around the world today, with approximately 20-30% of cows in any herd likely to become infected each year. Mastitis infections have many negative results such as reduced milk yield, veterinary costs, and increased risk of early culling. Clinical mastitis infections create swelling or clotting in the udder and are visible to farmers, while sub-clinical mastitis infections do not result in visible symptoms and can only be detected through dedicated examination, for example by measuring Somatic Cell Count (SCC) or using tests.
This group focuses on the latest research directly or indirectly related to mastitis in cows. The meetings are online, on the first Friday of each month, from 12:00 to 13:00 Irish Time.
|6th May 2022||Prof. Roumiana Tsenkova||
Aquaphotomics Research Department at Kobe University, Japan
|Aquaphotomics: Integrative Platform in Science and Technology|
|4th March 2022||Pablo Silva Bolona||Teagasc||Exploring the impact of and developing evidence based guidelines for selective dry cow therapy in Irish herds||Click Here|
|4th February 2022||Luke O’ Grady||School of Veterinary Medicine, University College Dublin||Luke’s work which included Mastitis||Click Here|
|3rd December 2021||Dorota Anglart||DeLaval International, Tumba, Sweden||Sensor based indicators of mastitis and milk quality||Click Here|
|5th November 2021||Tania Bobbo||University of Padova||Comparison of machine learning methods to predict udder health status based on somatic cell counts in dairy cows||Click Here|
|1st October 2021||Sinead McParland||Teagasc||Predicting quarter level infection using cow and bulk tank data||Click Here|
|3rd September 2021||Lucile Riaboff||University College Dublin||Cattle welfare and health assessment: from motion sensors to interpretation of findings||Click Here|
|4th August 2021||Michelle Carey||University College Dublin||Intro to the functional data analysis group at UCD||Click Here|
|30th June 2021||Changhong Jin||University College Dublin||Sub-Clinical Mastitis Detection Using Machine Learning Algorithms Applied to Milk Flow Profiles||Click Here|