Geografska raspodjela genetske raznolikosti istočno-jadranskih i zapadno-dinarskih pasmina ovaca

master's thesis

• Title (english): Geographic distribution of genetic diversity of east-adriatic and west-dinaric sheep breeds
• Author: Maja Banadinović
• Mentor: Alen Džidić (mentor)
• Committee member: Alen Džidić (predsjednik povjerenstva)
• Committee member: Ino Čurik (član povjerenstva)
• Committee member: Vlatka Čubrić Čurik (član povjerenstva)
• Committee member: Dragica Šalamon (član povjerenstva)
• Granter: University of Zagreb; Faculty of Agriculture; (Animal Science); Zagreb
• Defense date and country: 2017-09-25, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Agronomy

Abstract

Cilj istraživanja je utvrđivanje strukture populacija autohtonih pasmina ovaca, koristeći multivarijatne metode uzimajući u obzir prostornu GIS komponentu. Diskriminantna analiza glavnih komponenti, analiza glavnih komponenti i prostorna analiza glavnih komponenti, te Monmierov algoritam primijenjeni su za analizu georeferenciranih mikrosatelitnih genotipova jedinki 13 populacija (istarska ovca u Hrvatskoj, istarska ovca u Sloveniji, krčka ovca, creska ovca, rapska ovca, paška ovca, lička i dalmatinska pramenka, dubrovačka ruda, te vlašićka, stolačka, kupreška i privorska pramenka iz Bosne i Hercegovine). Izračuni i prikazi prostorne genetike napravljeni su pomoću adegenet paketa statističkog programa R. Stolačka i kupreška pramenka u jugoistočnom klasteru populacija pokazane su kao skupine uzoraka koje se najviše razlikuju od svih ostalih uzoraka. Dalmatinska pramenka je geografski i genetski intermedijarna populacija, koja je genetski sličnija jugoistočnom klasteru populacija. Lička pramenka je genetski razgraničena od svih ostalih analiziranih populacija.

Abstract (english)

The aim of the research was to determine the structure of the indigenous sheep breeds, using multivariate methods in combination with the spatial GIS information. Discriminant analysis of principal components, principal component analysis and spatial principal component analysis, as well as Monmier's algorithm were applied for the analysis of georeferenced genotypes of 13 populations (Istrian Sheep, Istrian Pramenka, Krk Island Sheep, Cres Island Sheep, Rab Island Sheep, Pag Island Sheep, Lika Pramenka and Dalmatian Pramenka, Dubrovnik Ruda, Vlašić Pramenka, Stolac Pramenka, Kupres Pramenka and Privor Pramenka from Bosnia and Herzegovina). For calculation and representation of spatial genetics, we were using the adegenet package from R software. Stolačka and kupreška pramenka in the southeastern cluster of populations were shown as the most distinctive groups of specimens of that cluster. Dalmatinska pramenka is a geographic and genetic intermediate population, and is more similar to the southeastern cluster of populations. Lička pramenka is genetically delimited from all other analyzed populations.

• Keywords: multivarijatne metode; ovca; paket adegenet
• Keywords (english): multivariate methods; sheep; adegenet package
• Language: croatian
• URN:NBN: urn:nbn:hr:204:398329
• Study programme: Title: Animal Genetics and Breeding; Study programme type: university; Study level: graduate; Academic / professional title: magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja (magistar/ magistra inženjer/inženjerka genetike i oplemenjivanja životinja)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2017-10-24 11:42:27