Tuesday, 18 August 2015

List of schools of veterinary medicine

List of schools of veterinary medicine

From Wikipedia, the free encyclopedia
See also: Veterinary medicine
This is an incomplete list that may never be able to satisfy particular standards for completeness. You can help by expanding it with reliably sourced entries.
This is a list of veterinary schools throughout the world by country.

Afghanistan[edit]

Nangarhar University ] Veterinary Science Faculty
Kunduz University ] Veterinary Science Faculty

Albania[edit]

Algeria[edit]

Angola[edit]

Argentina[edit]

Australia[edit]

Austria[edit]

Bangladesh[edit]

Belarus[edit]

  • Gorkovskii Agricultural Institute[37]
  • Vitebsk State Academy of Veterinary Medicine[38]

Belgium[edit]

Bolivia[edit]

Bosnia and Herzegovina[edit]

Brazil[edit]

Bulgaria[edit]

Canada[edit]

Chile[edit]

Costa Rica[edit]

Croatia[edit]

Czech Republic[edit]

  • University of Veterinary and Pharmaceutical Sciences Brno[83]

Ecuador[edit]

Egypt[edit]

Sohag University Faculty of Veterinary Medicine[94]

Estonia[edit]

Finland[edit]

France[edit]

Germany[edit]

Ghana[edit]

Greece[edit]

Grenada[edit]

Hungary[edit]

India[edit]

Indonesia[edit]

Iran[edit]

Iraq[edit]

Ireland[edit]

Israel[edit]

Italy[edit]

Japan[edit]

Jordan[edit]

Kenya[edit]

Lebanon[edit]

Libya[edit]

Lithuania[edit]

Republic of Macedonia[edit]

Malaysia[edit]

Mexico[edit]

Morocco[edit]

  • Agronomic and Veterinary Institute of Hassan II Polytechnic Center of Earth and Life Sciences[208]

Myanmar[edit]

Nepal[edit]

Nepal polytechnic institute Bharatpur 11 chitwan

Netherlands[edit]

New Zealand[edit]

Norway[edit]

Pakistan[edit]

Philippines[edit]

Luzon[edit]

Visayas[edit]

Mindanao[edit]

Peru[edit]

Poland[edit]

Portugal[edit]

Romania[edit]

Saint Kitts[edit]

Saudi Arabia[edit]

Senegal[edit]

  • Interstate University of Veterinary Science and Medicine in Dakar[262]

Serbia[edit]

Slovakia[edit]

Slovenia[edit]

South Africa[edit]

South Korea[edit]

Spain[edit]

Sri Lanka[edit]

Sudan[edit]

Sweden[edit]

Switzerland[edit]

Taiwan[edit]

Thailand[edit]

Turkey[edit]

Uganda[edit]

Ukraine[edit]

  • Dnipropetrovsk State Agricultural University Faculty of Veterinary Science[323]
  • National Agricultural University of Bela-Cerkva Faculty of Veterinary Science[324]
  • National Agricultural University of Luhansk Faculty of Veterinary Science[325]
  • National Agricultural University of Ukraine Faculty of Veterinary Science[326]
  • Odessa State Agrarian University Faculty of Veterinary Science[327]
  • Sumy National Agricultural University Faculty of Veterinary Science[328]
  • Zhytomir National Academy of Agriculture and Ecological Sciences Faculty of Veterinary Science[329]

United Kingdom[edit]

England[edit]

Scotland[edit]

Cayman Islands[edit]

United States[edit]

Venezuela[edit]

West Indies[edit]


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2000 Latest UK Government Chevening (FCO) Scholarships 2015 for National / International Students in UK

2000 Latest UK Government Chevening (FCO) Scholarships 2015 for National / International Students in UK
UK Government Chevening (FCO) Scholarships 2015 for National / International Students -...
UK Government Chevening (FCO) Scholarships 2015 for National / International Students
RESEARCHPEDIA.INFO

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Monday, 17 August 2015

Genetic diversity and phylogenetic relationships in local cattle breeds of Senegal based on autosomal microsatellite markers

Research (Published online: 18-08-2015)
9.  Genetic diversity and phylogenetic relationships in local cattle breeds of Senegal based on autosomal microsatellite markers - Ndèye Penda Ndiaye, Adama Sow, Guiguigbaza-Kossigan Dayo, Saliou Ndiaye, Germain Jerôme Sawadogo and Mbacké Sembène
Veterinary World, 8(8): 994-1005



   doi: 10.14202/vetworld.2015.994-1005

Abstract
Aim: In Senegal, uncontrolled cross-breeding of cattle breeds and changes in production systems are assumed to lead to an increase of gene flow between populations. This might constitute a relevant threat to livestock improvement. Therewith, this study was carried out to assess the current genetic diversity and the phylogenetic relationships of the four native Senegalese cattle breeds (Gobra zebu, Maure zebu, Djakoré, and N’Dama).
Methods: Genomic DNA was isolated from blood samples of 120 unrelated animals collected from three agro-ecological areas of Senegal according to their phenotypic traits. Genotyping was done using 11 specific highly polymorphic microsatellite makers recommended by Food and Agriculture Organization. The basic measures of genetic variation and phylogenetic trees were computed using bioinformatics’ software.
Results: A total of 115 alleles were identified with a number of alleles (Na) at one locus ranging from 6 to 16. All loci were polymorphic with a mean polymorphic information content of 0.76. The mean allelic richness (Rs) lay within the narrow range of 5.14 in N’Dama taurine to 6.10 in Gobra zebu. While, the expected heterozygosity (HE) per breed was high in general with an overall mean of 0.76±0.04. Generally, the heterozygote deficiency (FIS) of 0.073±0.026 was relatively due to inbreeding among these cattle breeds or the occurrence of population substructure. The high values of allelic and gene diversity showed that Senegalese native cattle breeds represented an important reservoir of genetic variation. The genetic distances and clustering trees concluded that the N’Dama cattle were most distinct among the investigated cattle populations. So, the principal component analyses showed qualitatively that there was an intensive genetic admixture between the Gobra zebu and Maure zebu breeds.
Conclusions: The broad genetic diversity in Senegalese cattle breeds will allow for greater opportunities for improvement of productivity and adaptation relative to global changes. For the development of sustainable breeding and crossbreeding programs of Senegalese local breeds, effective management is needed towards genetic selection and transhumance to ensure their long-term survival.
Keywords: cattle, genetic diversity, microsatellite markers, phylogenetic analysis, Senegal.
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Association of milk components with intra-mammary inflammation in Jaffrabadi buffaloes

Research (Published online: 18-08-2015)
8.  Association of milk components with intra-mammary inflammation in Jaffrabadi buffaloes - T. K. Patbandha, S. Marandi, K. Ravikala, R. Pathak, B. R. Maharana and K. S. Murthy
Veterinary World, 8(8): 989-993



   doi: 10.14202/vetworld.2015.989-993

Abstract
Aim: To study the alteration of major milk components such as milk fat, protein, lactose, solid not fat (SNF) and total solids (TS) and their association with different degree of intra-mammary inflammation (IMI) in Jaffrabadi buffaloes.
Materials and Methods: Milk samples (n=1516) were collected from Jaffrabadi buffaloes separately from each quarter. Milk samples were analyzed for milk fat, protein, lactose, SNF and TS percent on the same day using milk analyzer "LACTOSCAN." Milk samples were checked for IMI by California mastitis test (CMT), and the results were expressed as negative (0), +, ++, and +++ CMT score. The traits of milk components which showed significant difference (p<0.05) between samples from inflamed and non-inflamed quarters were analyzed by receiver operating characteristic (ROC) analysis to see the accuracy and degree of association with IMI.
Results: Among several milk components, milk protein and lactose percent showed a significant difference (p<0.05) between milk samples from normal and inflamed quarters. Though, during the early stage of mammary gland inflammation milk protein percent remained significantly high (p<0.05), later with an increase in the degree of severity of inflammation it did not show any difference. Milk samples from normal udder quarters had significantly higher lactose percent than inflamed quarters (p<0.05). Milk lactose percent decreased gradually with an increase in the degree of severity of inflammation. ROC analysis revealed that milk samples having lactose content below the threshold values had significantly higher chances to come from inflamed udder quarters (p<0.05). Though, the value of the area under curve (AUC) indicated that milk lactose was significantly associated with IMI (p<0.05), the accuracy was moderate (AUC=0.71-0.75).
Conclusions: The results of the present study indicated that milk lactose percent gradually and significantly reduced during IMI and can be used as a marker for identification of IMI in buffaloes. However, ROC analysis further confirmed that using milk lactose IMI can be identified with moderate accuracy.
Keywords: buffaloes, intra-mammary inflammation, milk components, milk lactose.
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