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master's thesis
Utjecaj veličine uzorka na procjenu "linkage disequilibrium" efektivne veličine u populacijama goveda
Zagreb: University of Zagreb, Faculty of Agriculture, 2016. urn:nbn:hr:204:374878
Karapandža, Nina
University of Zagreb
Faculty of Agriculture
Animal Science

Institutional repository: Repository Faculty of Agriculture University of Zagreb

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Karapandža, N. (2016). Utjecaj veličine uzorka na procjenu "linkage disequilibrium" efektivne veličine u populacijama goveda (Master's thesis). Zagreb: University of Zagreb, Faculty of Agriculture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:204:374878

Karapandža, Nina. "Utjecaj veličine uzorka na procjenu "linkage disequilibrium" efektivne veličine u populacijama goveda." Master's thesis, University of Zagreb, Faculty of Agriculture, 2016. https://urn.nsk.hr/urn:nbn:hr:204:374878

Karapandža, Nina. "Utjecaj veličine uzorka na procjenu "linkage disequilibrium" efektivne veličine u populacijama goveda." Master's thesis, University of Zagreb, Faculty of Agriculture, 2016. https://urn.nsk.hr/urn:nbn:hr:204:374878

Karapandža, N. (2016). 'Utjecaj veličine uzorka na procjenu "linkage disequilibrium" efektivne veličine u populacijama goveda', Master's thesis, University of Zagreb, Faculty of Agriculture, accessed 20 December 2024, https://urn.nsk.hr/urn:nbn:hr:204:374878

Karapandža N. Utjecaj veličine uzorka na procjenu "linkage disequilibrium" efektivne veličine u populacijama goveda [Master's thesis]. Zagreb: University of Zagreb, Faculty of Agriculture; 2016 [cited 2024 December 20] Available at: https://urn.nsk.hr/urn:nbn:hr:204:374878

N. Karapandža, "Utjecaj veličine uzorka na procjenu "linkage disequilibrium" efektivne veličine u populacijama goveda", Master's thesis, University of Zagreb, Faculty of Agriculture, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:204:374878

Metadata
TitleUtjecaj veličine uzorka na procjenu "linkage disequilibrium" efektivne veličine u populacijama goveda
AuthorNina Karapandža
MentorIno Čurik (mentor)
Committee memberIno Čurik (predsjednik povjerenstva)
Committee memberMiroslav Kapš (član povjerenstva)
Committee memberVlatka Čubrić Čurik (član povjerenstva)
Committee memberMaja Ferenčaković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Agriculture
(Animal Science)
Zagreb
Defense date and country2016-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Abstract
Efektivna veličina populacije (Ne) centralni je koncept u konzervacijskoj genetici. S obzirom na to da je iskustvo pokazalo kako su procjene temeljene na rodovniku često neprecizne, zbog nedostatnih i pogreš nih rodovnika i stohastičke prirode rekombinacije, za procjenu se koriste nove metode. Visoko -rezolutna genomska informacija kao najpolimorfnija informacija do sada, pokazala se puno preciznijom. Precizna procjena efektivne veličine populacije od velike je važnosti, posebice kada se za procjene koriste uzorci malih veličina. Najčešće korištena procjena je ona bazirana na „linkage disequilibrium-u“ (LD). Ovaj rad prikazuje kako koristeći osnovne postavke računalnog programa SNeP pri izračunima variraju vrijednosti Ne u odnosu na veličinu uzorka. Rezultati otkrivaju značajne razlike u procijenjenim NeLD pri veličinama uzoraka 10, 20, 30, (...), 100. Iako je navedena problematika relativno novijeg vijeka postoji nekoliko formula za korekciju, međutim ostaje pitanje koja je ona prava, te je nužno provoditi daljnja istraživanja kako bi se problem pristranosti riješio.
Abstract (english)
Effective population size (Ne) is a central concept in conservation genetics. Given that experience has shown that estimations based on pedigree are often imprecise because of insufficient and wrong pedigrees and also because of the stochastic nature of recombination, new methods are used for estimation. High density genomic information as the most polymorphic information up till now has been shown to be much more precise. Precise estimation of the effective population size is of great importance, especially when small size samples are used. The most commonly used estimation is the one based on linkage disequilibrium (LD). This paper shows how by using default settings of the SNeP software the values of Ne vary in relation to the sample size. The results reveal significant differences i n estimated NeLD at sample sizes 10, 20, 30, (...), 100. Although the issue at hand is relatively new, there are few equations for correction. However, the question remains which equation is the real one. It is necessary to conduct further research to find the solution to the problem of biased results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:204:374878
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2016-11-30 08:33:29