Age-dependent changes in serum chemistry, mineral concentrations and complete blood cell count parameters in Holstein cattle

Author:

Lee Hee-Woon1ORCID,Jeon Ye-Jin1ORCID,Cho Yong-Il2ORCID,Ha Seungmin3ORCID,Kang Seogjin3ORCID

Affiliation:

1. Mari Animal Medical Laboratory, Yongin City, Republic of Korea

2. Department of Animal Science and Technology, Sunchon National University, Republic of Korea

3. National Institute of Animal Science, Rural Development Administration, Cheonan, Republic of Korea

Abstract

AbstractInterpreting laboratory results from large animals is challenging owing to a lack of detailed reference ranges by age, sex, season, and breed. This study determined reference ranges for bovine serum chemistry and complete blood cell count (CBC) according to Holstein milking-cow age. Seventy-two healthy Holstein calves and cows (<1 week to milking age) were grouped: 1 (n = 7, <1 week), 2 (n = 10, 1 month), 3 (n = 13, 3 months), 4 (n = 13, 6 months), 5 (n = 10, 1 year, nulliparous), and 6 (n = 19, milking cows, parous). Fresh blood samples were obtained from the jugular vein between 10:00 and 12:00 AM in the winter; serum chemistry and haematologic profiles were assessed. Serum chemistry and CBC differed significantly by age. Age-related differences were observed for albumin, alkaline phosphatase, creatinine phosphokinase, creatinine, gamma-glutamyl transpeptidase, glucose, aspartate aminotransferase, alanine aminotransferase, lactate dehydrogenase, magnesium, phosphorus, calcium, total bilirubin, total cholesterol, total protein, triglyceride, blood-urea nitrogen, non-esterified fatty acid, and beta-hydroxybutyric acid levels. Age differences in creatinine and C-reactive protein were not noticeable. Among CBC parameters, age-related differences were observed for white-blood-cell, lymphocyte, red-blood-cell, and platelet counts; hemoglobin level; haematocrit; mean corpuscular volume, mean corpuscular hemoglobin, and mean corpuscular-hemoglobin concentration. Therefore, age-dependent variations should be considered when interpreting cattle laboratory results.

Funder

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry

Korea Smart Farm R&D Foundation

Smart Farm Innovation Technology Development Program

Ministry of Agriculture, Food and Rural Affair

Ministry of Science and ICT

Rural Development Administration

Publisher

Akademiai Kiado Zrt.

Subject

General Veterinary

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