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  • 1 Universidad Nacional de Río Cuarto Departamento de Microbiología e Inmunología, Facultad de Ciencias Exactas, Físico-Químicas y Naturales Ruta 36 Km 601, X5804ZAB Río Cuarto Córdoba Argentina
  • | 2 Instituto Nacional de Tecnología Agropecuaria Estación Experimental Agropecuaria Rafaela Rafaela, Santa Fe Argentina
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Most veterinary and milk hygiene laboratories identify streptococci and enterococci based on serological and biochemical tests. The analysis of 16S rDNA was suggested to be used for more exact identification; however, its use has not been considered so far in monitoring studies. The objective of the present study was to compare a conventional phenotypic method with restriction fragment length polymorphism analysis of 16S rDNA (16S rDNA RFLP) for identification of streptococci isolated from composite milk samples collected in connection with intramammary infection (IMI) in six Argentinean dairy farms. Composite milk samples (n = 1223) from cows belonging to six herds were collected for bacteriological analysis. Twelve reference strains and fifty streptococci or streptococcuslike isolates were identified to species level by the API 20 Strep system, conventional biochemical tests and 16S rDNA RFLP in a blind assay. The remaining streptococci or streptococcus-like isolates (n = 40) were identified to the species level both by 16S rDNA RFLP and conventional biochemical tests. As indicated by Kappa values, agreement between the 16S rDNA RFLP and the conventional scheme for identification of Streptococcus agalactiae, S. dysgalactiae, S. uberis, S. equinus and Enterococcus faecalis was 0.91, 0.73, 0.92, 0.81 and 0.85, respectively. Together with the less frequently isolated streptococcal species, the conventional scheme correctly identified 77 out of 90 isolates (85.5%). Thus, the use of 16S rDNA RFLP is considered valuable for monitoring studies due to its affordable cost for standard laboratories.

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Senior editors

Editor-in-Chief: Mária BENKŐ

Managing Editor: András SZÉKELY

Editorial Board

  • Béla DÉNES (National Food Chain Safety Office, Budapest Hungary)
  • Edit ESZTERBAUER (Veterinary Medical Research Institute, Budapest, Hungary)
  • Hedvig FÉBEL (National Agricultural Innovation Centre, Herceghalom, Hungary)
  • László FODOR (University of Veterinary Medicine, Budapest, Hungary)
  • Balázs HARRACH (Veterinary Medical Research Institute, Budapest, Hungary)
  • Peter MASSÁNYI (Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)
  • Béla NAGY (Veterinary Medical Research Institute, Budapest, Hungary)
  • Tibor NÉMETH (University of Veterinary Medicine, Budapest, Hungary)
  • Zsuzsanna NEOGRÁDY (University of Veterinary Medicine, Budapest, Hungary)
  • Alessandra PELAGALLI (University of Naples Federico II, Naples, Italy)
  • Kurt PFISTER (Ludwig-Maximilians-University of Munich, Munich, Germany)
  • László SOLTI (University of Veterinary Medicine, Budapest, Hungary)
  • József SZABÓ (University of Veterinary Medicine, Budapest, Hungary)
  • Péter VAJDOVICH (University of Veterinary Medicine, Budapest, Hungary)
  • János VARGA (University of Veterinary Medicine, Budapest, Hungary)
  • Štefan VILČEK (University of Veterinary Medicine in Kosice, Kosice, Slovak Republic)
  • Károly VÖRÖS (University of Veterinary Medicine, Budapest, Hungary)
  • Herbert WEISSENBÖCK (University of Veterinary Medicine, Vienna, Austria)
  • Attila ZSARNOVSZKY (Szent István University, Gödöllő, Hungary)

ACTA VETERINARIA HUNGARICA
Institute for Veterinary Medical Research
Centre for Agricultural Research
Hungarian Academy of Sciences
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Phone: (36 1) 467 4081 (ed.-in-chief) or (36 1) 213 9793 (editor) Fax: (36 1) 467 4076 (ed.-in-chief) or (36 1) 213 9793

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2020  
Total Cites 987
WoS
Journal
Impact Factor
0,955
Rank by Veterinary Sciences 101/146 (Q3)
Impact Factor  
Impact Factor 0,920
without
Journal Self Cites
5 Year 1,164
Impact Factor
Journal  0,57
Citation Indicator  
Rank by Journal  Veterinary Sciences 93/166 (Q3)
Citation Indicator   
Citable 49
Items
Total 49
Articles
Total 0
Reviews
Scimago 33
H-index
Scimago 0,395
Journal Rank
Scimago Veterinary (miscellaneous) Q2
Quartile Score  
Scopus 355/217=1,6
Scite Score  
Scopus General Veterinary 73/183 (Q2)
Scite Score Rank  
Scopus 0,565
SNIP  
Days from  145
sumbission  
to acceptance  
Days from  150
acceptance  
to publication  
Acceptance 19%
Rate

 

2019  
Total Cites
WoS
798
Impact Factor 0,991
Impact Factor
without
Journal Self Cites
0,897
5 Year
Impact Factor
1,092
Immediacy
Index
0,119
Citable
Items
59
Total
Articles
59
Total
Reviews
0
Cited
Half-Life
9,1
Citing
Half-Life
9,2
Eigenfactor
Score
0,00080
Article Influence
Score
0,253
% Articles
in
Citable Items
100,00
Normalized
Eigenfactor
0,09791
Average
IF
Percentile
42,606
Scimago
H-index
32
Scimago
Journal Rank
0,372
Scopus
Scite Score
335/213=1,6
Scopus
Scite Score Rank
General Veterinary 62/178 (Q2)
Scopus
SNIP
0,634
Acceptance
Rate
18%

 

Acta Veterinaria Hungarica
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Acta Veterinaria Hungarica
Language English
Size A4
Year of
Foundation
1951
Publication
Programme
2020 Volume 68
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0236-6290 (Print)
ISSN 1588-2705 (Online)

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