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African Journal of Biotechnology

     
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  Afr. J. Biotechnol.

  Vol. 8 No. 19

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  Search Pubmed for articles by:

  Mehmannavaz Y
  Torshizi RV



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African Journal of Biotechnology Vol. 8 (19), pp. 4797-4801, 5 October 2009

ISSN 1684-5315  © 2009 Academic Journals  

 

 

Full Length Research Paper

 

Effects of bovine prolactin gene polymorphism within exon 4 on milk related traits and genetic trends in Iranian Holstein bulls

 

Yousef Mehmannavaz1*, Cyrus Amirinia2, Mortaza Bonyadi3 and Rasoul Vaez Torshizi4

 

1Department of Animal Science, Faculty of Agriculture, Science and Research Branch, Islamic Azad University, Tehran, Iran.

2Department of Animal Biotechnology, Animal Science Research Institute of Iran, Karaj, Iran.

3Center of Excellence for Biodiversity, University of Tabriz, Tabriz, Iran.

4Animal Science Department, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.

 

*Corresponding author. E-mail: mehman10@yahoo.com. Tel: +98 914 4317572. Fax: +98 421 3254506.

 

Accepted 10 August, 2009

 

   Abstract

 

In this study, polymorphism of prolactin gene was analyzed as a candidate gene responsible for variation and genetic trends in milk yield and composition traits. Genomic DNAs were extracted from 268 semen samples belonged to Iranian Holstein bulls. Genotyping for the prolactin gene using PCR-RFLP technique and RsaI restriction endonuclease showed a mutation in 294-bp fragment located in exon 4. The frequencies of A and G alleles were 0.069 and 0.931, respectively. The allelic substitution effect was significant for milk and protein yield (p < 0.05). The G allele was unfavorable for milk and protein yield. Genetic trends for all analyzed traits were significant (p < 0.01) and that was progressive for milk, fat and protein yield, but diminishing for fat and protein percent. The effects of prolactin SNP on genetic trends and the difference between genetic trends produced by A and G alleles were not significant for all studied traits.

 

Key words:  Holstein, prolactin, milk, genetic trend, SNP, PCR-RFLP.

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