Location, animals and study design
The research was performed according to the Law of the Republic of Lithuania No. 8-500 on Protection, Keeping and Use of Animals, dated 06/11/1997 (Valstybės žinios (Official Gazette) No. 108 dated 28/11/1997) and orders of the State Veterinary Service of the Republic of Lithuania on Breeding, Care and Transportation of Laboratory Animals (No. 4-361, dated 31/12/1998) and use of Laboratory Animals for Scientific Tests (No. 4-16, dated 18/01/1999). The study’s approval number was PK014606.
The study was conducted on the sheep farm in the Eastern region of Europe, Lithuania, from April 2018 to May 2019. The average ambient temperature during the study year was 10.50 ±1°C, the relative humidity was 77.60 ±2%. Sixty sheep, were selected according to the following criteria: 3.5±0.3 years old, not pregnant during the entire investigation period, clinically healthy, exhibiting the following clinical parameters of an average rectal temperature of 38.5±0.2°C, rumen contractions three to four times per two minutes during the precise clinical examination. The farm conducts the monitoring of infectious diseases. Routine deworming is performed twice a year. The tested sheep were divided into the following three groups: the Suffolk (n = 20), the Merino (n = 20) and the Lithuanian blackhead (n = 20). Average body weight of the sheep was 35±5 kg. All sheep were kept following the loose housing system and were fed at the same time, the same ration, balanced according to their physiological needs. The grazing season was from April to October. The pastures were predominantly grasses and legumes. In addition, in summer, all sheep on the farms at all times had ad libitum access to the complete mineral mixture blocks -”Sheep Rockes” (Tithebarn, UK) (sodium 38%, magnesium 1000 mg/kg, calcium 1%, phosphorus 1%, cobalt 100 mg/kg, iodine 50 mg/kg, manganese 100 mg/kg, selenium 20 mg/kg and zinc 120 mg/kg). In winter, the ewes were kept in barns and fed the grain mixture (300 g/day), grass hay (Timothy grass, red clover, white clover, alfalfa, ryegrass and quack grass). Water was provided ad libitum.
Analytical procedures
The study was conducted from April 2018 to May 2019. Blood samples were collected between 0700 to 0800 hrs after overnight fasting by jugular venipuncture, using vacuum tubes without any anticoagulant. Sixty blood samples were taken once per month on the same day from the identical animals. In the study, 780 blood samples were tested (13 months x 60 animals). Further research was performed in the Lithuanian University of Health Science, Veterinary Academy. The samples were collected in 8°C temperature containers and transported immediately to the laboratory for analysis. Within an hour, the blood samples were centrifuged for 10 min. at 3500 rpm and blood serum was collected and stored in -20°C environment. The blood serum biochemical parameters, such as copper (Cu), zinc (Zn), iron (Fe), urea, glucose (Gl), aspartate aminotransferase (AST), gamma glutamyl transferase (GGT), total bilirubin (TBIL), albumin (Alb), creatinine (CREA) and lactate dehydrogenase (LDH) were measured using commercial kits on the Selectra Junior analyser (AC Dieren, The Netherlands, 2006). Cortisol level was measured using the automated analyser TOSOH® AIA-360 (South San Francisco, CA), performing a comparable fluorescent enzyme immunoassay, which is run in small, single-use test cups that contain all necessary reagents. Accuracy and performance data for human and canine cortisol, including analyte recovery and dilutional studies, have been previously evaluated
(Higgs et al., 2014). Daily checks, calibration curves and maintenance procedures were carried out according to the System Operator’s Manual. For blood haematology sixty blood samples were taken once per month on the same day from the identical animals at the same time like for biochemistry in a vacuum tube system containing 10% EDTA. The values determined were erythrocytes (RBC), haemoglobin (HGB), haematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), leukocytes (WBC) and platelet count (PLT). Haematological parameters were measured using the MS4-5 VET automatic analyser (Melet Schloesing Laboratories, France 2012).
Data analysis and statistics
Blood parameters were grouped by physiological limits into three classes, where the middle class refers to the norm (Class 2, Cu values 46-140) and the two extreme ones denote, respectively, the values under or above the physiological limits (Class 1, Cu values <46; Class 3, Cu values ≥141) (Table 1). In the analyses, the breed, the month of study and blood parameters were considered as categorical variables. The level of significance was
P<0.05 for all tests.
Data were analysed using the software IBM SPSS Statistics (version 25.0, IBM, Munich, Germany). The descriptive statistics of data were presented as mean ± standard error of the mean of a sample. The normality of all data recorded in the study was assessed by Shapiro-Wilk normality test. A multiple comparison (Bonferroni test) was applied to compare the Cu value among the breeds. The GLM repeated measures technique (general linear model) was used to assess the changes in serum Cu concentration (μg/dL). The difference between the proportions was assessed using the two-proportion z-test procedure. The Chi Square (c
2) statistics was used to determine the relationship between the following categorical variables: Cu concentration among the breeds and Cu concentration in respect to other blood parameter values having taken into consideration their physiological limits. To analyse the factors contributing to the Cu level in the blood of sheep, multivariable logistic regression models were used, applying a backward stepwise logistic model to eliminate all non-significant explanatory variables. Categorical variables (the breed, the month of study and certain blood parameters) were continuously removed from the models according to the significance of the Wald criterion. Finally, two independent variables were used in the model.