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Amir Rashidi

Amir Rashidi

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 23009961900
HIndex:
Faculty: Faculty of Agriculture
Address: Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran.
Phone: 08733668512

Research

Title
Simulating Past Dynamics and Assessing Current Status of Markhoz Goat Population on Its Habitat
Type
JournalPaper
Keywords
conservation, genetic diversity, Markhoz goat, viability analysis
Year
2015
Journal Iranian Journal of Applied Animal Science
DOI
Researchers Hamid Reza Bahmani ، Mojtaba Tahmorespour ، Ali Asghar Aslaminejad ، Mahmood Vatankhah ، Amir Rashidi

Abstract

This study was conducted to collect comprehensive identification about Markhoz goat population and to simulate past dynamics of the population under its living conditions. Census data of the population size and the required parameters for the simulation model were obtained from published data or were collected in its habitat in the last 3 years. In this study, past population dynamics and expected loss of genetic diversity in the population were simulated by population viability analysis (PVA) using Vortex modeling program ver-sion 10.0. Markhoz breeding goats and population size showed a downward trend on its own habitat. The last known number of breeding does, bucks and total population of the Markhoz goat breed on its habitat were 917, 55 and 1669 heads in 2012. Computed and simulated inbreeding rates (ΔF) were 2.4% and 3.9%, respectively. Simulated Ne for this population was 128 which are near to critical size of 100. Furthermore, the extinction probability (EP) of 0%, stochastic growth rate of -0.1624, losing genetic diversity of 5% and inbreeding of 0.0311 were simulated using the PVA for a past time horizon( from 1996 to 2012). Having considered different parameters and threats with the reliable values and probabilities, PVA model simulated correctly the past period of population dynamics. Based on our findings, 1) future viability and the expected loss of diversity should be estimated under obtained demographic and environmental parameters. 2) differ-ent management scenarios should be examined to provide a conservation program.