scholarly journals Milk quality parameters associated with the occurrence of veterinary drug residues in bulk tank milk

2017 ◽  
Vol 74 (3) ◽  
pp. 195-202 ◽  
Author(s):  
Lidia Cristina Almeida Picinin ◽  
Isabela Maia Toaldo ◽  
Rodrigo Barcellos Hoff ◽  
Fernando Nogueira Souza ◽  
Mônica Oliveira Leite ◽  
...  
2020 ◽  
Vol 87 (2) ◽  
pp. 208-211
Author(s):  
Jessica Ginestreti ◽  
Rosa Maria Strano ◽  
Valentina Lorenzi ◽  
Francesca Fusi ◽  
Alessandra Angelucci ◽  
...  

AbstractThis research communication explores the value of routinely collected bulk tank milk quality data for estimating dairy cattle welfare at herd level. Selected bulk tank milk quality parameters (somatic cell count, total bacterial count, urea, protein and fat contents) recorded during the years 2014–2016 in 287 Italian dairy farms were compared with the animal welfare data of each farm. The welfare assessment data were extracted from the database of the Italian Reference Centre for Animal Welfare (CReNBA), which includes the outputs of the application of the CReNBA welfare assessment protocol for dairy cows, used at national level for on-farm controls. The statistical analysis was carried out using the correlation coefficient for Kendall's Tau ranks, in order to investigate the presence of a categoric relationship between the selected bulk tank milk quality parameters and the overall animal welfare score or the scores of the single areas A (farm management and staff training), B (housing) and C (animal-based measures). Somatic cell count, total bacterial count, urea and proteins demonstrated only a few statistically significant and very weak correlations with farm animal welfare data, while no significant correlations were obtained for milk fat content. Given the weak correlations found, the selected bulk tank milk parameters seems to be able to provide only limited information about the welfare level of the herd, thus it could be difficult to use them for drawing up a pre-screening model for identifying herds at risk of poor welfare.


2019 ◽  
Vol 439 ◽  
pp. 1-12 ◽  
Author(s):  
Dongmei Chen ◽  
Xiaoshuang Pei ◽  
Mengru Wu ◽  
Shuyu Xie ◽  
Yuanhu Pan ◽  
...  

2021 ◽  
pp. 1650-1664
Author(s):  
Jagdish Kumar Parmar ◽  
Kundan Kumar Chaubey ◽  
Vikas Gupta ◽  
Manthena Nava Bharath

The veterinary drugs are broad-spectrum antibacterial antibiotics; it uses to cure the animal disease. Many countries have banned veterinary drug residues like nitrofurans metabolites, chloramphenicol. However, the people were administrated veterinary drugs to animals as illegal to increase the milk production in animals for economic benefit. The results of illegally use of veterinary drugs remain as a residue in animal product like milk and it is very harmful to whom consume it cause cancer and allergic for human being which has entered the concern among milk consumers. To control illegal use of veterinary drugs, the government of India has restricted its use in animals. For the identification and confirmation of veterinary drug residues in animal products, analytical techniques such as liquid chromatography and mass spectrometry are available. These are very sophisticated equipments which are available nowadays and their methodologies for the analytical method validation are described by European commission 2002/657/EC. The use of veterinary drugs is a big challenge to effectively identify and authorization of their use. There are so many analytical techniques are using very effectively and taking very less time to protect the consumers from their adverse effects. These techniques take very less time to identify more groups of compounds such as tetracycline, sulfonamides, anthelmintic, and macrolides in single multi-residue method. These methods having validation parameters include system precision, calibration curve, accuracy, limit of detection, and quantification. Therefore, improvement in the existing technologies and accessibility of new screening methodologies will give opportunities for automation that helps in obtaining the results in very less time and improved sensitivity and specificity which contribute to better safety assurance, standard, and quality of various food products of animal origin.


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