Autor: |
Tesfaye Getachew, Heather J. Huson, Maria Wurzinger, Jörg Burgstaller, Solomon Gizaw, Aynalem Haile, Barbara Rischkowsky, Gottfried Brem, Solomon Antwi Boison, Gábor Mészáros, Ally Okeyo Mwai, Johann Sölkner |
Jazyk: |
angličtina |
Rok vydání: |
2017 |
Předmět: |
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Zdroj: |
BMC Genetics, Vol 18, Iss 1, Pp 1-14 (2017) |
Druh dokumentu: |
article |
ISSN: |
1471-2156 |
DOI: |
10.1186/s12863-017-0526-2 |
Popis: |
Abstract Background Understanding the relationship between genetic admixture and performances is crucial for the success of crossbreeding programs. Use of small sets of ancestry informative markers (AIMs) is a cost effective option to estimate the levels of admixture in situations where pedigree recording is difficult. In this study we select AIMs from Ovine 50KSNP data (SNP – single nucleotide polymorphism) and validate their ability in estimating the contributions of parental breeds to get information about optimum admixture levels for smallholders. Results We estimated admixture levels using ADMIXTURE software based on 74 AIMs selected from Ovine 50KSNP data. Awassi x Ethiopian fat-tailed crossbred sheep populations kept in government farms and farmer villages in different districts were included in the study. Mean Awassi levels estimated based on the selected AIMs were close to the Awassi levels obtained from pedigree information. Estimates from the 74 SNPs were compared to subsets of 65, 55, 45, 35, 25 and 15 SNPs selected based on both top and bottom fixation index (FST) rank using Spearman’s rank correlation (r = 0.862–0.996). A t-test comparison revealed that all SNP subsets had produced similar (P > 0.05) estimates with the 74 SNPs, except for the bottom 15 SNPs (P |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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