Please use this identifier to cite or link to this item: https://une.intersearch.com.au/unejspui/handle/1959.11/1156
Title: Quantitative Trait Loci Mapping in Merino Sheep and Effect of Accuracy of QTL Parameter Estimation on Marker Assisted Selection
Contributor(s): Moghaddar, Nasiroddin (author); van der Werf, Julius (supervisor); Gondro, C (supervisor)
Conferred Date: 2008
Copyright Date: 2008
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/1156
Abstract: The objectives of this thesis were to perform a genome scan for important production traits in Australian Merino sheep and to investigate issues related to the prediction of marker assisted selection (MAS) response in single and multiple trait selection schemes in animal breeding programs. In the first experimental chapter, a genome scan was performed for 4 growth and 7 fleece traits in Australian Merino sheep. Quantitative trait loci (QTL) parameters were estimated through single QTL interval mapping within and across four paternal half-sib families. The genome scan yielded 21 significant QTL for all traits at the 1% chromosome wise significance threshold level in within family analysis. Across family analysis supported most of the highly significant results from single family analysis but did not show any common significant QTL at the 1% chromosome wise significance threshold level across all families. Because of the relatively small progeny group sizes the power and the precision of the analysis are probably low and the QTL allele substitution effects are overestimated. In the subsequent three chapters some important issues related to the application of QTL information in MAS, including efficient prediction of MAS response and effect of the accuracy of estimated QTL effect in single and multiple trait selection, were investigated.
Publication Type: Thesis Doctoral
Field of Research Codes: 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
070201 Animal Breeding
Rights Statement: Copyright 2008 - Nasiroddin Moghaddar
HERDC Category Description: T2 Thesis - Doctorate by Research
Statistics to Oct 2018: Visitors: 222
Views: 368
Downloads: 33
Appears in Collections:Thesis Doctoral

Files in This Item:
7 files
File Description SizeFormat 
open/SOURCE03.pdfAbstract157 kBAdobe PDF
Download Adobe
View/Open
open/SOURCE04.pdfThesis703.1 kBAdobe PDF
Download Adobe
View/Open
Show full item record

Page view(s)

136
checked on Mar 4, 2019

Download(s)

48
checked on Mar 4, 2019
Google Media

Google ScholarTM

Check

SCOPUSTM   
Citations

 

Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.