Genetic Evaluation and Parameter Estimation Using Marker and Trait Information

Genetic evaluation by BLUP using marker and trait information requires knowledge of genetic parameters, such as the recombination rate ( r) between a marker locus and a marked QTL. Maximum likelihood methods are widely used to estimate genetic parameters. This thesis presents a new approximation to the likelihood for a pedigree with loops, based on cutting all loops and extending the pedigree at the cuts. An optimum strategy to cut loops and an iterative extension technique are presented. The likelihood for a pedigree with loops is then approximated by the conditional likelihood for the entire cut-extended pedigree given the extended part. The approximation is efficient for large pedigrees with complex loops in terms of computing speed and memory requirements.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Animal Sciences

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Wang, Tianlin

Contributors dc:contributor

• Fernando, Rohan L.

• Agriculture, Animal Culture and Nutrition

Language dc:language

eng

Identifier

(MiAaPQ)AAI9912419

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83650