Please use this identifier to cite or link to this item:
Title: Marker-assisted selection in sheep and goats
Contributor(s): Van Der Werf, Julius Herman  (author)orcid 
Publication Date: 2007
Handle Link:
Abstract: Sheep and goats are often kept in low input production systems, often at subsistence levels. In such systems, the uptake of effective commercial breeding programmes is limited, let alone the uptake of more advanced technologies such as those needed for marker-assisted selection (MAS). However, effective breeding programmes exist in a number of countries, the largest ones in Australia and New Zealand aiming for genetic improvement of meat and wool characteristics as well as disease resistance and fecundity. Advances have been made in sheep gene mapping with the marker map consisting of more than 1 200 microsatellites, and a virtual genome sequence together with a very dense single nucleotide polymorphism (SNP) map are expected within a year. Significant research efforts into quantitative trait loci (QTL) are under way and a number of commercial sheep gene tests have already become available, mainly for single gene effects but some for muscularity and disease resistance. Gene mapping in goats is much less advanced with mainly some activity in dairy goats. Integration of genotypic information into commercial genetic evaluation and optimal selection strategies is a challenge that deserves more development.
Publication Type: Book Chapter
Source of Publication: Marker-Assisted Selection, p. 229-247
Publisher: Food and Agriculture Organization of the United Nations
Place of Publication: Rome, Italy
ISBN: 9789251057179
Field of Research (FOR): 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
Other Links:
Statistics to Oct 2018: Visitors: 135
Views: 134
Downloads: 0
Appears in Collections:Book Chapter
School of Environmental and Rural Science

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

Page view(s)

checked on May 3, 2019
Google Media

Google ScholarTM


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