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Fernando, Rohan L. Wang, Tianlin 2015-09-25T21:08:38Z 2015-09-25T21:08:38Z 10000-01-01 1998 1998 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. Made available in DSpace on 2015-09-25T21:08:38Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9912419.pdf: 3978894 bytes, checksum: 20d8c4eb686cae40322a85a10fa58e77 (MD5) Previous issue date: 1998 Embargo set by: Seth Robbins for item 84931 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 102 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998. http://hdl.handle.net/2142/83650 (MiAaPQ)AAI9912419 eng Agriculture, Animal Culture and Nutrition Genetic Evaluation and Parameter Estimation Using Marker and Trait Information text Animal Sciences Animal Sciences University of Illinois at Urbana-Champaign Dissertation Ph.D.