Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23470
Title: Predicting body protein and body fat for breeding sows of a modern commercial genotype
Contributor(s): Smits, R (author); Morley, W C (author); Bunter, Kim L  (author)orcid 
Publication Date: 2017
DOI: 10.1071/ANv57n12Ab006
Handle Link: https://hdl.handle.net/1959.11/23470
Abstract: Modern sow genotypes have changed considerably since body composition studies were conducted over 25 years ago on Australian genotypes. Earlier predictive equations were developed on datasets of slaughtered gilts and first-litter sows (e.g. Mullan and Williams 1990) or used genotypes from the United Kingdom (Large White × Landrace crossed with Landrace × Meishan; Gill 2006). As part of a larger project to evaluate sow lifetime performance and longevity over several parities (Smits et al. 2017), we established predictive equations based on measured live animal data for body protein and fat of sows before mating for Australian maternal genotypes. The hypothesis was that predicted and actual tissues reserves were similar.
Publication Type: Conference Publication
Conference Details: APSA 2017: 16th Biennial Conference of the Australasian Pig Science Association, Melbourne, Australia, 19th - 22nd November, 2017
Source of Publication: Animal Production Science, 57(12), p. 2485-2485
Publisher: CSIRO Publishing
Place of Publication: Australia
ISSN: 1836-5787
1836-0939
Fields of Research (FoR) 2008: 070201 Animal Breeding
Fields of Research (FoR) 2020: 300305 Animal reproduction and breeding
Socio-Economic Objective (SEO) 2008: 830308 Pigs
Socio-Economic Objective (SEO) 2020: 100410 Pigs
Peer Reviewed: Yes
HERDC Category Description: E3 Extract of Scholarly Conference Publication
Publisher/associated links: http://www.apsa.asn.au/Conference2017.aspx
Series Name: Manipulating Pig Production
Series Number : 16
Appears in Collections:Animal Genetics and Breeding Unit (AGBU)
Conference Publication

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