Volume 13, Issue 4 (8-2024)                   2024, 13(4): 69-84 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Khosravi R, Roohbakhsh M, Adavoudi R, Kaboli M. Comparative analysis of Kinship in Captive Populations Using Microsatellite Markers: A Case Study of Wild Sheep at the Miankotal Captive Breeding Site. Iranian Journal of Applied Ecology 2024; 13 (4) :69-84
URL: http://ijae.iut.ac.ir/article-1-1262-en.html
Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran
Abstract:   (174 Views)
While numerous methods exist for kinship determination, their results frequently show incomplete concordance. To improve accuracy and reliability, we employed a multi-analytical approach in this study. Using blood samples from 20 wild sheep (Ovis gmelini) at the Miankotal Captive Breeding Site (Fars Province, Iran), we conducted a comparative analysis of kinship inference models based on nuclear microsatellite data. Initial simulations assessed each locus's discriminatory power for kinship determination. Kinship relationships were evaluated using multiple parentage analysis software (COLONY, CERVUS, and ML-Relate) and relatedness indices. The OarFCB304 and McM527 ranked as the highest and lowest in terms of information content for relatedness estimation. Although we observed agreement between methods, some discrepancies emerged. CERVUS identified three parent–offspring pairs with high confidence, whereas classification of these samples using ML-Relate and COLONY mainly indicated sibling relationships. Despite the fact the most likely kinship pattern in the population was half-sibling relationships, it is essential to reduce the likelihood of inbreeding through management actions such as introducing new individuals into the population. This study demonstrates that an integrative analytical approach incorporating kinship indices, parentage analyses, and biological information yields a more precise understanding of population kinship structure.
Full-Text [PDF 516 kb]   (151 Downloads)    
Type of Study: Research | Subject: General

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2025 CC BY-NC 4.0 | Iranian Journal of Applied Ecology

Designed & Developed by : Yektaweb