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Prevalence of Gastrointestinal Parasitism Infections in Cattle of Bass Kabylie Area: Case of Bejaia Province, Algeria

animals - primates). In: Euzeby, J. (Ed.), Practical work in veterinary helminthology. Vol. II (pp. 295-322). Paris., Technical Information of Veterinary Services, Ministry of Agriculture. 12. Edmonson, A.J., Lean, I.J., Weaver, L.D., Farver, T., Webster, G. (1989). A body condition scoring chart for Holstein dairy cows. Journal of Dairy Science 72, 68-78. https://doi.org/10.3168/jds.S0022-0302(89)79081-0 13. Cringoli, L. Rinaldi, V. Veneziano, G., Capelli, A. (2004). Scala the influence of floatation solution, sample dilution and the choice of McMaster

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Comparative Clinical and Haematological Investigations in Lactating Cows with Subclinical and Clinical Ketosis

.S., McNamara, J.P., Hillers, J.K. (1993). Relationships of body condition score to production variables in high producing Holstein cows. J. Dairy Sci. 76, 3410-3419. http://dx.doi.org/10.3168/jds.S0022-0302(93)77679-1 18. Bewley, J.M., Schutz, M.M. (2008). Review: An interdisciplinary review of body condition scoring for dairy cattle. Professional Animal Scientist 24, 507-529. 19. Garnsworthy, P. (2008). Influences of body condition on fertility and milk yield. In: Proc dairy cattle reproduction council convention, 63-72. 20

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The Dynamics of Biochemical Parameters in Blood of Clinically Healthy Holstein Cows from Day 5 before to Day 60 after Calving

Abstract

The peripartal period in Holstein dairy cows is critical, due to the transition from pregnancy to lactation. We have studied the dynamics of biochemical parameters from day 5 before to day 60 after calving. The study included 10 multiparous Holstein cows, examined at days -5, 5, 10, 30 and 60 relative to calving. Blood samples were taken from vena jugularis. Analyzed biochemical parameters were glucose, triglycerides, total cholesterol, total bilirubin, albumin, total protein, urea, NEFA and BHBA. Milk production and body condition score were also estimated. Obtained results showed that cows were exposed to mild to marked metabolic distress. Energy status was changed due to increased values of NEFA and BHBA and decreased value of glucose after calving. Protein concentrations were increased at day 10 after calving, despite the decrease of the level of albumin. Urea concentrations before and after calving were within physiological range indicating an optimal protein diet. Increased values of total bilirubin at day 5 after calving indicated liver increased activity. Lipid status presented by triglycerides and total cholesterol revealed no differences in blood concentrations. Milk production was highest at day 30 after calving. BCS were highest in dry cows, thereafter they declined and recovered at day 60 after calving.

In conclusion, biochemical parameters can be used as relevant indicators of metabolic distress in cows around calving with milk and BCS recording as aside parameters. Changes in some biochemical parameters indicate liver increased activity and metabolic stress, that could lead to decreased milk production, impaired reproductive performance and, finally, to illness.

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Screening of Selected Indicators of Dairy Cattle Welfare in Macedonia

Abstract

The welfare state of cattle in dairy farms in Macedonia has never been assessed previously. The objective of this study was to perform screening analysis of dairy cows welfare and to test the practical implementation of the Welfare Quality® Assessment protocol for cattle in dairy farms in Macedonia. In ten small scale and large scale tie stall farms 23 measures were recorded related to 9 welfare criteria of 4 welfare principles (WP) described in the Welfare Quality® Assessment protocol for dairy cows. The mean percentage of very lean cows was 40.5±9.1%. All assessed farms were not providing access to pasture and an outdoor loafing area. Regarding cleanliness, the presence of dirty udder, upper leg/flank and lower leg was 65.2±9.0%, 85.5±8.0% and 86.5±5.8%, respectively. The overall prevalence of lameness was 5.6±5.0%, and for mild and severe alterations it was 30.8±5.8% and 54.1±4.6%, respectively. The ocular and vulvar discharge, diarrhea, dystocia, percentage of downer cows and mortality rate exceeded the warning and alarm threshold. The avoidance - distance test classified 70.4±6.8% as animals that can be touched or approached closer than 50cm, with overall score of 42.9±3.5. This screening reveals that the most welfare concerns are found in the WP Good Feeding and Good Housing. The on-farm welfare assessment using the full protocol on a representative sample of farms in the country is highly recommended for emphasizing the key points for improving the animal welfare in Macedonian dairy farms.

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Influence of Breed and Parity on Teat and Milking Characteristics in Dairy Cattle

effects of teat measurements and milk production on the onset of subclinical mastitis in dairy cows]. Lalahan Hay Arast Enst Derg. 23(3-4): 85-99. [in Turkish] 28. Tilki, M., Inal, S., Colak, M., Garip, M. (2005). Relationships between milk yield and udder measurements in Brown Swiss cows. Turk J Vet Anim Sci. 29(1): 75-81. 29. Seker, İ., Risvanli, A., Kul, S., Bayraktar, M., Kaygusuzoglu, E. (2000). İsviçre Esmeri ineklerde meme özellikleri ve süt verimi ile CMT skoru arasındaki ilişkiler. [Relationships between CMT scores and udder traits and milk yield in

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Equine Recurrent Airway Obstruction

affected with recurrent airway obstruction. Am J Vet Res, 64: 550-557. http://dx.doi.org/10.2460/ajvr.2003.64.550 PMid:12755293 17. Tilley, P., Sales Luis, J.P., Branco Ferreira, M. (2012). Correlation and discriminant analysis between clinical, endoscopic, thoracic X-ray and bronchoalveolar lavage fluid cytology scores, for staging horses with recurrent airway obstruction (RAO). Res Vet Sci, 93:1006-1014. http://dx.doi.org/10.1016/j.rvsc.2011.10.024 PMid:22136797

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Visualization and Measurement of Teat Structures in Black-and-White Cows Through Ultrasonography

the teat anatomy using four different techniques. Braz J Vet Res Anim Sci. 41: 349-354. 19. Seker, I., Risvanli, A., Yuksel, M., Saat, N., Ozmen, O. (2009). Relationship between California Mastitis Test score and ultrasonographic teat measurements in dairy cows. Aust Vet J. 87: 480-483. 20. Şendağ, S., Dinç, D. (1999). Ultrasonography of the bovine udder. Turk J Vet Anim Sci. 23: 545-552. 21. Ślósarz, P., Wójtowski, J., Bielińska, S., Frąckowiak, A., Ludwiczak, A., Krzyżewski, J., Bagnicka, E., Strzalkowska, N. (2010

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Immunohistomorphometric Changes of The Pituitary Gonadotropic Cells After Testosterone Application in a Rat Model of the Andropause

.1016/j.acthis.2011.06.003 PMid:21703666 22. Poole, M.C., Kornegay, 3rd W.D. (1982). Cellular distribution within the rat adenohypophysis: a morphometric study. Anat Rec. 204, 45-53. https://doi.org/10.1002/ar.1092040107 PMid:7149283 23. Ruifrok, A.C., Johnston, D.A. (2001). Quantification of histochemical staining by color deconvolution. Anal Quant Cytol Histol. 23, 291-299. PMid:11531144 24. Varghese, F., Bukhari, A.B., Malhotra, R., De, A. (2014). IHC profiler: an open source plugin for the quantitative evaluation and automated scoring of

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Postural Behaviour in Gilts Housed on Concrete and Rubber Slats During four Seasons

Beispiele aus der Praxis (Alternative Konzepte; 78). Karlsruhe: C. F. Müller Verlag, 2. Aufl. 1993, 3. Aufl.1998, 4. Aufl. 1999, russ. Übersetzung 1997, finn.Übersetzung 1997. 27. Anil, L., Anil, S.S., Deen, J., Baidoo, S.K. (2006). Cortisol, behavioral responses, and injury scores of sows housed in gestation stalls. J. Swine Health Prod. 14, 196-201. 28. MAFF (1981). Injuries caused by flooring: a survey in pig health scheme herds. Proc. Pig. Vet. Soc. 8, 119-125. 29. Heinonen, M., Oravainen, J., Orro, T., Seppä-Lassila, L

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The Clinical Value of Red Blood Cell Distribution Width as a Prognosis Factor and Severity Marker in Sepsis and Septic Shock

CHARM score to predict mortality in patients with suspected sepsis. The American Journal of Emergency Medicine. 2017;35(4):640-646. 7. Kim Y, Song J, Kim E, Choi H, Jeong W, Jung I et al. A Simple Scoring System Using the Red Blood Cell Distribution Width, Delta Neutrophil Index, and Platelet Count to Predict Mortality in Patients With Severe Sepsis and Septic Shock. Journal of Intensive Care Medicine. 2018;34(2):133-139. 8. Yeh C, Chen K, Ye J, Huang C. Derivation of a clinical prediction rule for bloodstream infection mortality of patients visiting the

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