Analysis association of milk fat and protein percent in quantitative trait locus (QTLs) on chromosomes 1, 6, 7 and 20 in Iranian Holstein cattle using ten micro satellite markers

  • A Attar
  • G Rahimi
  • MR Nassiri
  • B Sadeghi

Abstract

Protein and fat percent as content of milk are high-priority criteria for financial aims and selection of programs in dairy cattle. In order to incorporate information on marker- quantitative trait locus (QTL) associations, QTL detection and parameter estimation should also be performed. Microsatellite markers are most valuable markers in association studies between different loci with the production traits. With the aim of analysis markers previously identified by other researchers in QTLs of milk fat and protein percent traits in Iranian Holstein dairy cattle sample population, we use ten microsatellite markers on chromosomes 1, 6, 7 and 20. All microsatellite markers were genotype in 156 dairy cattle which have at least one year data of milk fat and protein record using 6 to 8% polyacrylamide gel electrophoreses determined with silver nitrate staining. We find 7, 5 and 8 out of 10 markers showing significant effect on milk fat percent in 1 to 120, 120 to 240 and 240 to 360 milking days, respectively. Our results show 6, 8 and 9 out of 10 markers have significant effect on protein percent in 1 to 120, 120 to 240 and 240 to 360 milking days respectively.

Keywords: Fat percent, Iranian Holstein cattle, microsatellites, milking days, protein percent, quantitative trait locus (QTL).

African Journal of Biotechnology, Vol 13(19), 2010-2014

Author Biographies

A Attar
Department of Animal Genetics and Breeding of Sari University, Sari, Iran
G Rahimi
Department of Animal Genetics and Breeding of Sari University, Sari, Iran
MR Nassiri
Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
B Sadeghi
Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
Published
2015-07-14
Section
Articles

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eISSN: 1684-5315