Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-07T15:54:38.648Z Has data issue: false hasContentIssue false

Genetic evaluation of animals with and without using genotypic data of major gene loci

Published online by Cambridge University Press:  23 November 2017

Mehdi Aminafshar*
Affiliation:
Animal Science Department, Agricultural faculty, Tehran Science & Research Branch, Islamic Azad University, Tehran, Iran
Mojtaba Hosseinpour Mashhadi
Affiliation:
Animal Science Department, Agricultural faculty, Mashhad Branch, Islamic Azad University, Khorasan razavi, Iran
Laleh jamsi
Affiliation:
Joundishapoor University, Ahvaz, Iran
Get access

Extract

Now a days, scientists like to find about association of major genes and quantitative traits. In the first step, breeding value of quantitative trait should be predicted and genotype of animals for special major gene locus should be detected. Then, GLM analyses are used to compare all levels of genotypes and study about their association with quantitative traits. The accuracy of prediction of breeding value may influence the result of analyses. Different models with different accuracy of prediction may be utilized to predict breeding value. In this article, different models, with and without using the Genotypic Data of Major Genes Loci were used in order to identify the better model for genetic evaluation in this situation.

Type
Poster Presentations
Copyright
Copyright © The British Society of Animal Science 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Chakraborty, R. L. Moreau and Dekkers, J. C. M. 2002. A general method to optimize selection on multiple identified quantitative trait loci. Genet. Sel. Evol. 34:145–170 Google Scholar
Dekkers, G.C.M., 1999. Optimizing Strategies for Selection on Major Genes. Plant & Animal Genome. VII held at St. Diego. CA Google Scholar
Falconer, D. S. and Mackay, T. F. C. 1996. Introduction to Quantitative Genetics. 4th ed. Longman, Essex, U.K. Google Scholar
Villanueva, B, Dekkers, J. C. M. and Woolliams, J. A. 2004. Maximizing genetic gain over multiple generations with quantitative trait locus selection and control of inbreeding. J. Anim. Sci. 82:1305–1314 Google Scholar