Association Analysis Of Novel Snps ' Exon 10 Of Growth Hormone Receptor Gene With Growth Traits

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Association analysis of novel SNPs in exon 10 of growth hormone receptor gene with growth traits in Indian sheep
Amiya Ranjan Sahu*1, V. Jeichitra2, R. Rajendran3 and A. Raja4
Animal Genetics and Breeding, MVC, TANUVAS, Chennai, India
*Corresponding Author:

Present address:
1. Ph.D. Scholar, Animal Genetics and Breeding, ICAR-Indian Veterinary Research Institute, Izatnagar, U.P., India
2. Associate Professor, Animal Genetics and Breeding, Veterinary College and Research Institute, Orathanadu, T.N., India
3. Professor, Directorate of Research, TANUVAS, Chennai, T.N., India
4. Professor, Animal Biotechnology, Madras Veterinary College, TANUVAS, Chennai, T.N., India

Growth hormone receptor (GHR) …show more content…

Key words sheep, growth hormone receptor gene, polymorphism, tetra-primer ARMS-PCR
Small ruminants are used by the human being in many ways that provides proteinous meat, induces the growth of farmers’ income, facilitates rural employment and improves fertility of the soil (Thiruvenkadan et al. 2011). As per 19th Livestock Census, India possesses 42 breeds of total 65.06 million numbers of sheep (Livestock Census Report 2012). The sheep population constitute 12.7% of the total livestock population of India and ranks 2nd in the world sheep population (FAOSTAT 2014). Total annual mutton production in the country is around 7.12%. The sheep population of Tamil Nadu is 4.47 million numbers which produces approximately 31440 tonnes of mutton (Anon. 2015). The efficiency of sheep enterprises can be uplifted by increasing litter size, lamb weight, mutton production and by the improvement in quality of wool. DNA based molecular markers are used efficiently for assessment of genetic diversity, selection of animals in early age, study of population structure, mapping of genes and quantitative trait loci (QTLs), and breeding based on genomic selection (Collard et al. 2005). The relationship between the economic traits and the genes associated with these are studied by the candidate gene approach (Andersson 2001). Marker Assisted Selection (MAS)

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