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Pregled bibliografske jedinice broj: 936334

Geographic Patterns of Genetic Variation in Indigenous Eastern Adriatic Sheep Breeds


Banadinović, Maja; Džidić, Alen; Simčič, Mojca, Šalamon, Dragica
Geographic Patterns of Genetic Variation in Indigenous Eastern Adriatic Sheep Breeds // ACS. Agriculturae conspectus scintificus, 82 (2017), 3; 281-285 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 936334 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Geographic Patterns of Genetic Variation in Indigenous Eastern Adriatic Sheep Breeds

Autori
Banadinović, Maja ; Džidić, Alen ; Simčič, Mojca, Šalamon, Dragica

Izvornik
ACS. Agriculturae conspectus scintificus (1331-7768) 82 (2017), 3; 281-285

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
spatial genetics ; sheep breeds ; spatial principal component analysis ; Moran’s I

Sažetak
The geographical patterns of genetic variation in domestic species are the outcome of spatially explicit demographic events. Technological advances have made the obtaining of spatial information easier and different techniques have been developed to analyse spatial patterns of genetic variation. Relatively weak geographic trends found in sheep populations suggested the use of more powerful approaches, such as spatial principle component analysis. The aim of the study was to assess if application of spatial approach could reveal structures and patterns of genetic variation in indigenous Eastern Adriatic sheep breeds and contribute to our current knowledge about their genetic differentiation. We found south-east to north-west cline as the global structure using spatial principal component analysis, which outperformed the principal component analysis in this study and complemented understanding of variability of the investigated breeds reported in other multivariate and model-based clustering methods applied on this microsatellite data in previous research. Kernel density estimation suggested the Lika pramenka sheep belongs to a separate patch, not recognized in the spatial effects of the spatial principal component analysis. This potential structure should be further investigated.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Biotehnologija, Geografija



POVEZANOST RADA


Ustanove:
Agronomski fakultet, Zagreb

Profili:

Avatar Url Alen Džidić (autor)

Avatar Url Dragica Šalamon (autor)

Poveznice na cjeloviti tekst rada:

acs.agr.hr hrcak.srce.hr

Citiraj ovu publikaciju:

Banadinović, Maja; Džidić, Alen; Simčič, Mojca, Šalamon, Dragica
Geographic Patterns of Genetic Variation in Indigenous Eastern Adriatic Sheep Breeds // ACS. Agriculturae conspectus scintificus, 82 (2017), 3; 281-285 (međunarodna recenzija, članak, znanstveni)
Banadinović, M., Džidić, A. & Simčič, Mojca, Šalamon, Dragica (2017) Geographic Patterns of Genetic Variation in Indigenous Eastern Adriatic Sheep Breeds. ACS. Agriculturae conspectus scintificus, 82 (3), 281-285.
@article{article, author = {Banadinovi\'{c}, Maja and D\v{z}idi\'{c}, Alen}, year = {2017}, pages = {281-285}, keywords = {spatial genetics, sheep breeds, spatial principal component analysis, Moran’s I}, journal = {ACS. Agriculturae conspectus scintificus}, volume = {82}, number = {3}, issn = {1331-7768}, title = {Geographic Patterns of Genetic Variation in Indigenous Eastern Adriatic Sheep Breeds}, keyword = {spatial genetics, sheep breeds, spatial principal component analysis, Moran’s I} }
@article{article, author = {Banadinovi\'{c}, Maja and D\v{z}idi\'{c}, Alen}, year = {2017}, pages = {281-285}, keywords = {spatial genetics, sheep breeds, spatial principal component analysis, Moran’s I}, journal = {ACS. Agriculturae conspectus scintificus}, volume = {82}, number = {3}, issn = {1331-7768}, title = {Geographic Patterns of Genetic Variation in Indigenous Eastern Adriatic Sheep Breeds}, keyword = {spatial genetics, sheep breeds, spatial principal component analysis, Moran’s I} }

Časopis indeksira:


  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • AGRICOLA
  • ASFA: Aquatic Science and Fisheries Abstracts
  • BIOSIS Previews (Biological Abstracts)
  • CAB Abstracts
  • Geobase
  • SCOPUS





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