Milk metabolites for the detection of heat stress in dairy ruminants
Milk metabolites for the detection of heat stress in dairy ruminants: Goats The aim of this study was to analyze a group of milk metabolites used as heat stress (HS) biomarkers: i.e., alkaline phosphatase (ALP), β-hydroxybutyrate (BHB), creatinine (CRE) and insulin (INS), using reference methods and...
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| Tipo de documento: | Dissertação de mestrado |
| Data de publicação: | 2019 |
| País: | España |
| Recursos: | Universitat Autònoma de Barcelona |
| Repositório: | Dipòsit Digital de Documents de la UAB |
| Idioma: | Inglês |
| OAI Identifier: | oai:ddd.uab.cat:215716 |
| Acesso em linha: | https://ddd.uab.cat/record/215716 |
| Nível de acesso: | Acesso aberto |
| Palavra-chave: | Animals Protecció Cabres Animals Estrès |
| Resumo: | Milk metabolites for the detection of heat stress in dairy ruminants: Goats The aim of this study was to analyze a group of milk metabolites used as heat stress (HS) biomarkers: i.e., alkaline phosphatase (ALP), β-hydroxybutyrate (BHB), creatinine (CRE) and insulin (INS), using reference methods and Near Infrared Reflectance Spectroscopy (NIRS) to calibrate and to predict the content of these HS biomarkers in the milk of ruminants. This study focuses on dairy goats. Citrate (CITR) and prolactin (PRL) were also analyzed but data was not available at the deadline of the Thesis. A total of 367 milk samples were obtained from 3 commercial farms (n = 311) and from the experimental group (n = 56) of the Universitat Autònoma of Barcelona (UAB). A subset of milk samples (n = 98) was used for analysis by standard laboratory methods and by NIRS (1,100 to 2,500 nm). Calibration and cross validation procedures were carried out for optimization with the UAB samples. Prediction accuracy for ALP and INS, according to their ratio of performance deviation (RPD) and range error ratio (RER) values, were acceptable (> 2 and >10, respectively). Additionally, values of the coefficient of determination for calibration (R2) were relatively good (0.97 and 0.96), indicating that they may be used for predicting ALP and INS in the milk of dairy goats. In conclusion, results from the biomarkers in milk demonstrated the reduction of ALP and INS in milk by effect of HS, thereby validating their use as HS indicators in the milk of dairy goats. |
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