Designing a software for prediction of animal breeding values using quantitative and molecular information

Document Type : Research Paper

Authors

1 Former M. Sc. Student, Faculty of Agriculture, University of Zanjan

2 Associate Professor, Faculty of Agriculture, University of Zanjan

3 Physiology and Biotechnology Institute, University of Zanjan

Abstract

The present study was attempted to produce MAS software. This software uses a combination of
quantitative and molecular information for the prediction of breeding values. Some genes that control
a trait have major effects comparing with others. These genes are called major genes which are located
on QTLs (quantitative trait loci). Our understanding on inheritance pattern of QTL can be helpful in
selection programs via marker assisted selection (MAS). This provides an opportunity to increase the
genetic progress of domestic animals by MAS. The marker assisted selection performance are based
on an index, consists of phenotypic and molecular markers data. The MAS software based on mixed
model methods (MMM) was established with the C# programming language. This software designed
based on animal models with matrix form for predicting breeding values. To identify polymorphism in
promoter region of DGAT1 gene, DNA was extracted from blood samples, the PCR process
performed on DNA samples. Allelic and genotypic frequencies of animals were characterized. MASS
software was used for the prediction of breeding values for 80 male lambs of Afshari sheep in
research-education farm of Zanjan University. To compare the results, analyses were also performed
using SAS software. Comparing the predicted breeding values obtained from MAS software and SAS
indicated the effect of molecular marker in selection based on the combination of molecular and
phenotypic information.

Keywords

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