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Characterization of Fat-tailed sheep native to North-Western Pakistan - Morphological and Molecular Characterization of the three fat-tailed sheep breeds native to North-Western Pakistan

English, German · Paperback / Softback

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After identifying pure-bred flocks belonging to three native sheep breeds i.e., Hashtnagri, Balkhi and Michni, a total of 138 non-related individuals were sampled for morphological and molecular studies using SSR markers. Majority flock were mixed, having ram from invaded sheep i.e., Balkhi. Breeds significantly varied for morphometric traits. A total of 119 alleles was identified with mean number of 3.8 (2-8) alleles per locus. Twelve unique alleles were identified in Michni population at different loci, possessing higher average gene diversity (0.561). Inbreeding estimate (FIT) was significantly higher (27.1%) among three breeds. Highest gene flow (Nm = 60.4) and lowest FST (4.3%) was estimated between Balkhi and Hashtnagri. Balkhi and Michni were assigned at high accuracy to their respective population; however, the identity of Hashtnagri was obscure. Most of the loci deviated from HWE, with maximum heterozygosity in Michni (0.522). Within-population inbreeding estimates (FIS) was significantly higher i.e., 10.1 (Michni) to 31.3% (Balkhi). Bottleneck analysis showed that only Michni population is in a state of equilibrium.

About the author










Muhammad Ibrahim is a Nigerian and a multiple award winning student, a PhD candidate in Environmental Science from prestigious Hohai University, Nanjing. The author has published manifold research & review articles and has attended many National and International Conferences, Symposia, Seminars and Workshops. He is the Founder/CEO of Eco - Charity.

Product details

Authors Z A Swati, Z. A. Swati, Ahmad, S Ahmad, S. Ahmad, Muhamma Ibrahim, Muhammad Ibrahim, Z. A. Swati
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 01.01.2010
 
EAN 9783838397474
ISBN 978-3-8383-9747-4
No. of pages 128
Subject Natural sciences, medicine, IT, technology > Biology > Genetics, genetic engineering

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