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Pregled bibliografske jedinice broj: 558214

Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information


Siwek, Maria; Finocchiaro, Raffaela; Čurik, Ino; Portolano, Baldasare
Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information // Animal genetics, 42 (2011), 1; 93-95 doi:10.1111/j.1365-2052.2010.02080.x (međunarodna recenzija, kratko priopcenje, znanstveni)


CROSBI ID: 558214 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information

Autori
Siwek, Maria ; Finocchiaro, Raffaela ; Čurik, Ino ; Portolano, Baldasare

Izvornik
Animal genetics (0268-9146) 42 (2011), 1; 93-95

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, kratko priopcenje, znanstveni

Ključne riječi
biodiversity management; clustering; goat; hierarchical genealogical structure; microsatellite diversity

Sažetak
Genetic structure and relationship amongst the main goat populations in Sicily (Girgentana, Derivata di Siria, Maltese and Messinese) were analysed using information from 19 microsatellite markers genotyped on 173 individuals. A posterior Bayesian approach implemented in the program STRUCTURE revealed a hierarchical structure with two clusters at the first level (Girgentana vs. Messinese, Derivata di Siria and Maltese), explaining 4.8% of variation (amovaФST estimate). Seven clusters nested within these first two clusters (further differentiations of Girgentana, Derivata di Siria and Maltese), explaining 8.5% of variation (amovaФSC estimate). The analyses and methods applied in this study indicate their power to detect subtle population structure.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Veterinarska medicina, Poljoprivreda (agronomija)



POVEZANOST RADA


Ustanove:
Agronomski fakultet, Zagreb

Profili:

Avatar Url Ino Čurik (autor)

Poveznice na cjeloviti tekst rada:

doi onlinelibrary.wiley.com

Citiraj ovu publikaciju:

Siwek, Maria; Finocchiaro, Raffaela; Čurik, Ino; Portolano, Baldasare
Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information // Animal genetics, 42 (2011), 1; 93-95 doi:10.1111/j.1365-2052.2010.02080.x (međunarodna recenzija, kratko priopcenje, znanstveni)
Siwek, M., Finocchiaro, R., Čurik, I. & Portolano, B. (2011) Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information. Animal genetics, 42 (1), 93-95 doi:10.1111/j.1365-2052.2010.02080.x.
@article{article, author = {Siwek, Maria and Finocchiaro, Raffaela and \v{C}urik, Ino and Portolano, Baldasare}, year = {2011}, pages = {93-95}, DOI = {10.1111/j.1365-2052.2010.02080.x}, keywords = {biodiversity management, clustering, goat, hierarchical genealogical structure, microsatellite diversity}, journal = {Animal genetics}, doi = {10.1111/j.1365-2052.2010.02080.x}, volume = {42}, number = {1}, issn = {0268-9146}, title = {Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information}, keyword = {biodiversity management, clustering, goat, hierarchical genealogical structure, microsatellite diversity} }
@article{article, author = {Siwek, Maria and Finocchiaro, Raffaela and \v{C}urik, Ino and Portolano, Baldasare}, year = {2011}, pages = {93-95}, DOI = {10.1111/j.1365-2052.2010.02080.x}, keywords = {biodiversity management, clustering, goat, hierarchical genealogical structure, microsatellite diversity}, journal = {Animal genetics}, doi = {10.1111/j.1365-2052.2010.02080.x}, volume = {42}, number = {1}, issn = {0268-9146}, title = {Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information}, keyword = {biodiversity management, clustering, goat, hierarchical genealogical structure, microsatellite diversity} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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