Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/2711
Title: Development successes and issues for the future in deriving and applying selection indexes for beef breeding
Contributor(s): Barwick, Stephen  (author); Henzell, Anthony L  (author)
Publication Date: 2005
DOI: 10.1071/EA05068
Handle Link: https://hdl.handle.net/1959.11/2711
Abstract: Research and development to provide systems for effective derivation and use of selection indexes has been conducted for the Australian beef industry since the late 1980s. This paper reports on development successes and presents evidence of increasing rates of industry genetic gain in beef production profitability. Key factors in success are identified and include the ability of the index development process to capture the full context of selection. The level of performance recording in many cases is the primary limitation to effective index use. Issues that will be more important in future applications of indexes are discussed. They include the need for more specific selection for environments, for extending the breeding objective to encompass additional industry sectors and aims, for greater account of industry supply and demand flow-on effects, and for combining gene marker tests with other criteria in indexes of economic merit. The critical role of selection indexes in targeting multiple-trait economic merit is likely to increase further with the availability of new gene marker test information.
Publication Type: Journal Article
Source of Publication: Australian Journal of Experimental Agriculture, 45(7/8), p. 923-933
Publisher: CSIRO Publishing
Place of Publication: Collingwood, Australia
ISSN: 0816-1089
Field of Research (FOR): 070201 Animal Breeding
Socio-Economic Outcome Codes: 830301 Beef Cattle
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Other Links: http://nla.gov.au/anbd.bib-an4599774
Statistics to Oct 2018: Visitors: 86
Views: 85
Downloads: 0
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Journal Article

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

SCOPUSTM   
Citations

30
checked on Nov 26, 2018

Page view(s)

74
checked on Mar 3, 2019
Google Media

Google ScholarTM

Check

Altmetric


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