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Effects of subclinical mastitis on automatic milking system data, hematological and biochemical parameters, and milk composition in Holstein cows.
Jung, Mooyoung; Kang, Seogjin; Jeon, Eunjeong; Lim, Dong-Hyun; Kim, Donghyeon; Moon, Jin San; Hyun, Sang-Hwan; Ha, Seungmin.
Afiliación
  • Jung M; National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Kang S; National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Jeon E; National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Lim DH; National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Kim D; National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
  • Moon JS; Bacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon 39660, Korea.
  • Hyun SH; School of Veterinary Biosecurity and Protection, Chungbuk National University, Cheongju, 28644, Korea.
  • Ha S; National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Anim Biosci ; 2024 Aug 27.
Article en En | MEDLINE | ID: mdl-39210789
ABSTRACT

Objective:

Subclinical mastitis decreases milk production and quality, despite the normal appearance of the mammary glands and milk. Herein, we aimed to investigate changes in factors monitored via automatic milking systems (AMS) prior to subclinical mastitis onset and identify differences in hematological and biochemical parameters and milk composition at subclinical mastitis onset.

Methods:

Thirty-two Holstein cows were divided into two groups according to somatic cell counts (SCC) from AMS and milk composition analysis and the California mastitis test (CMT) healthy cows (controls [CON], n=16, SCC <500×103 cells/ml and negative for CMT) and cows with subclinical mastitis (SCM, n=16, SCC ≥500×103 cells/ml and positive for CMT). Eventually, 121 milk samples from the CON ([mCON], n=60) and SCM ([mSCM], n=61) groups were obtained; SCM samples were categorized as those from non-inflamed (mNQ) or subclinically-inflamed (mIQ) quarters. We evaluated AMS factors; hematological, biochemical, and milk composition parameters; and bacterial isolation.

Results:

In cows with SCM, milk yield decreased and electrical conductivity (EC) changed before disease onset. Milk EC decreased in mNQ although increased in mIQ (p<0.05). The SCM group had higher globulin levels and lower basophil counts; albumin-to-globulin ratio; and total cholesterol, albumin, and blood urea nitrogen levels than the CON group (p<0.05). The mIQ group had higher SCC but lower levels of lactose and milk solids-not-fat than those in the mCON and mNQ groups (p<0.05). The mCON group had higher levels of milk non-protein nitrogen than the mNQ group (p<0.05). Opportunistic mastitis pathogens were isolated in the mIQ group.

Conclusion:

Changes in milk yield and EC measured using AMS occurred prior to subclinical mastitis, which may be associated with variation in basophil counts; albumin-to-globulin ratio; and total cholesterol, albumin, BUN, globulin, SCC, milk lactose, and milk solids-not-fat levels at disease onset. These findings provide new insights into early-stage subclinical mastitis.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Anim Biosci Año: 2024 Tipo del documento: Article Pais de publicación:

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Anim Biosci Año: 2024 Tipo del documento: Article Pais de publicación: