Age-associated and Breed-associated Variations in Haematological and Biochemical Variables in Mangalitsa, Mangalitsa×Durock and Large White Pig

Ognjen Stevančević, Marko Cincović, Radosav Šević, Božidar Savić, Branislava Belić, Nenad Stojanac, Ivana Lakić, Zorana Kovačević


Background: Research of hematologic and biochemical parameters in pigs is of great importance considering the fact that pigs are used as a model in research of different health disorders in humans. There are many different breeds of pigs that have different health, productive and biologic characteristics that need to be studied. Hematologic and biochemical values can vary dependent on presence of inflammation and infection.The aim of this study was to determine the influence of breed, age and their interactions on hematologic and biochemical parameters on blood of mangalitsa, mangalitsa x durock and Large White pig.

 Materials, Methods & Results: Experiment included 10 litters of mangalitsa, white variety, mated with mangalitsa boar, 10 mangalitsa litters, and white variety inseminated with durock boar and litters of great Large White inseminated with great Yorkshire boar. Six groups, each include 10 animals were formed and their blood was sampled (3 breeds and 2 age categories). Age groups were formed according to moment of blood sampling. First sample was taken in moment of 30 ± 5 kg of body weight. Second sample was taken when body weight was 100 kg hematologic analyze. Samples were taken with BD Vacutainer®. Complete classic blood analyzes and leucocytes formulas were done by hematology analyzer ADVIA 120 Hematology Siemens, Germany. Biochemical analyze was done by biochemical analyzer A15 BioSystem with their standard colorimetric reagenses. Concentration of total protein, albumin, urea, creatinine, cholesterol, total bilirubin, AST and ALT were determined. Globulin concentration was calculated.  Results have showed that hematologic and biochemical parameters are influenced by breed, age and their interaction as: total leukocyte number (age, breed x age), neutrophils number (age, breed), number of monocytes and platelets (age, breed x age), eosinophils number and percentage (age), percentage of neutrophils, percentage of lymphocytes and cholesterol (breed). All of three factors (breed, age breed x age) have affected number of lymphocytes basophils number, % of monocytes, % of basophils, erythrocyte number, hemoglobin concentration, hematocrit, MCV, MCH, MCHC, RDW, protein, albumin, creatinine and ALT. Globulin value varied in function of interaction breed x age. RBC, Hgb, Hct, MCV, MCH, MCHC, total protein albumin, creatinine, and ALT variance can be explained by influence of breed, age and their interaction   (η2 = 35-75%).

Discussion: Based on results of this study breed and age have significant influence on numerous blood parameters. Besides the differences in mean values of parameters it is proved presence of statistically significant difference in frequencies distributions in function of age and breed. Different age and breed categories have different frequencies distributions of many determined parameters. There is positive correlation between RBC, Hgb, Hct and albumin in all three breed (R2 = 67-84%). Negative correlation was found between WBC and RBC, Hgb, Hct that was statistically significant in mangalitsa breed (R2 = 58-69%) but not in other two breeds. In mangalitsa significant positive correlation was found between globulin and leukocyte number. Given values have showed that during interpretation of lab results breed, age and interactions of hematologic and biochemical parameters need to be considered. Mean values and frequencies distribution differences lead to redefinition of referent range in function of breed and age that requires further research.

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Abeni F., Petrera F., Dalprà A., Rapetti L., Crovetto G.M. & Galassi G. 2018. Blood parameters in fattening pigs from two genetic types fed diet with three different protein concentrations. Translational Animal Science. 2(4): 372-382.

Al-Mashhadi A.L., Poulsen C.B., Von Wachenfeldt K., Robertson A.K., Bentzon J.F., Nielsen L.B. & Frendéus B. 2018. Diet-Induced Abdominal Obesity, Metabolic Changes, and Atherosclerosis in Hypercholesterolemic Minipigs. Journal of diabetes research. 2018: 1-12.

Averos X., Herranz A., Sanchez R., Comella J.X. & Gosalvez L.F. 2007. Serum stress parameters in pigs transported to slaughter under commercial conditions in different seasons. Veterinarni Medicina-Praha. 52(8): 333-342.

Belić B. & Cincović M.R. 2015. Patološka fiziologija. Novi Sad: Faculty of Agriculture, 75 p.

Buzzard B.L., Edwards-Callaway L.N., Engle T.E., Rozell T.G. & Dritz S.S. 2013. Evaluation of blood parameters as an early assessment of health status in nursery pigs. Journal of Swine Health and Production. 21(3): 148–151.

Camacho-Rea C., Miguel E. A.V., Carlos G.G., Rafael O., Marco A.H.L, Fernando P.G.R., Maria D.L.S. & Rogelio A.A.M. 2010. Evaluation of metabolic, endrocrine and growth features in the Mexican hairless pig to determinate its potencial as model for obesity in comparison with commercial pigs. Italian Journal of Animal Science. 9(84): 439-444.

Casas‐Díaz E., Closa‐Sebastià F., Marco I., Lavín S., Bach‐Raich E. & Cuenca R. 2015. Hematologic and biochemical reference intervals for Wild Boar (Sus scrofa) captured by cage trap. Veterinary Clinical Pathology. 44(2): 215-222.

Chmielowiec-Korzeniowska A., Tymczyna L. & Babicz M. 2012. Assessment of selected parameters of biochemistry, hematology, immunology and production of pigs fattened in different seasons. Archives Animal Breeding. 55: 469-479.

Cooper C.A., Moraes L.E., Murray J.D. & Owens S.D. 2014. Hematologic and biochemical reference intervals for specific pathogen free 6-week-old Hampshire-Large White crossbred pigs. Journal of Animal Science and Biotechnology. 5(1): 5.

Czech A., Klebaniuk R., Grela E.R., Samolińska W. & Ognik K. 2017. Polish crossbred pigs’ blood haematological parameters depending on their age and physiological state. Annals of Warsaw University of Life Sciences. 56(2): 185-195.

Egerszegi I., Rátky J., SoltI L. & Brüssow K.P. 2003. Mangalica - an indigenous swine breed from Hungary (Review). Archiv fur Tierzucht. 46(3): 245-256.

Friendship R., Lumsden J.H., Mcmillan I. & Wilson M.R. 1984. Hematology and biochemistry reference values for Ontario swine. Canadian journal of comparative medicine. 48(4): 390-393.

Georgescu S.E., Manea M.A., Dudu A. & Costache M. 2012. Phylogenetic relationships of the Mangalitsa swine breed inferred from mitochondrial DNA variation.

International journal of molecular sciences. 13(7): 8467-8481.

Harvey J.W. 2012. Veterinary hematology: a diagnostic guide and color atlas. St. Louis: Elsevier, 312p.

Jain S., Gautam V. & Naseem S. 2011. Acute-phase proteins: As diagnostic tool. Journal of Pharmacy and Bioallied Sciences. 3(1): 118-127.

Ježek J., Starič J., Nemec M., Plut J., Oven I.G., Klinkon M. & Štukelj M. 2018. The influence of age, farm, and physiological status on pig hematological profiles. Journal of Swine Health and Production. 26(2): 72-78.

Klem T.B., Bleken E., Morberg H., Thoresen S.I. & Framstad T. 2010. Hematologic and biochemical reference intervals for Norwegian crossbreed grower pigs. Veterinary clinical pathology. 39(2): 221-226.

Kotosová J., Janka P., Ladislav V., Marta M.B. & Janka V. 2014. Haematological Status for Selected Pig Breeds. American Journal of Animal and Veterinary Sciences. 9(4): 239-244.

Lents CA., RempeL L.A., Klindt J., Wise T., Nonneman D. & Freking B.A. 2013. The relationship of plasma urea nitrogen with growth traits and age at first estrus in gilts. Journal of animal science. 91(7): 3137-3142.

Lingaas F., Brun E., Aarskaug T. & Havre G. 1992. Biochemical blood parameters in pigs: Estimates of heritability for 20 blood parameters. Journal of Animal Breeding and Genetics. 109(4): 281-290.

Merck Veterinary Manual. 2019. [Accessed online in January 2019].

Mpetile Z., Young JM., Gabler N.K., Dekkers J.C.M. & Tuggle C.K. 2015. Assessing peripheral blood cell profile of Yorkshire pigs divergently selected for residual feed intake. Journal of animal science. 93(3): 892-899.

Newell Fugate A.E., Taibl J.N., Clark S.G., Alloosh M., Sturek M. & Krisher R.L. 2014 Effects of diet-induced obesity on metabolic parameters and reproductive function in female Ossabaw minipigs. Comparative medicine. 64(1): 44-49.

Norbury K.C. & Moyer M.P. 2015. Effect of negative pressure therapy on the inflammatory response of the intestinal microenvironment in a porcine septic model. Mediators of Inflammation. 2015: 1-12.

Perri A.M., O’Sullivan T.L., Harding J.C., Wood R.D. & Friendship R.M. 2017. Hematology and biochemistry reference intervals for Ontario commercial nursing pigs close to the time of weaning. The Canadian Veterinary Journal. 58(4): 371-376.

PigSite. 2019. [Accessed online in January 2019].

Ritzmann M., Grimm J., Heinritzi K., Hoelzle K. & Hoelzle L.E. 2009. Prevalence of Mycoplasma suis in slaughter pigs, with correlation of PCR results to hematological findings. Veterinary Microbiology. 133(1-2): 84-91.

Stojanac N., Stevančević O., Cincović M., Belić B., Plavša N. & Urošević M. 2016. Effects of Iron Administration Method on Anemia Prevention and Production Performance of Piglets. Acta Scientiae Veterinariae. 44: 1361.

Šević R.J., Lukač D.R., Vidović V.S., Puvača N.M., Savić B..M., LJubojević D.B., Tomović V.M. & Džinić N.R. 2017. Neki parametri nutritivnog kvaliteta mesa svinja rase mangulica i landras. Chemical Industry. 71(2): 111-118.

Štukelj M., Toplak I. & Nemec A. 2013. Blood antioxidant enzymes (SOD, GPX), biochemical and haematological parameters in pigs naturally infected with porcine reproductive and respiratory syndrome virus. Polish Journal of Veterinary Sciences. 16(2): 369-376.


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