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https://hdl.handle.net/1959.11/28986
Title: | Genetic and Phenotypic Parameters for Feed Efficiency Traits in Australian Angus Beef Cattle | Contributor(s): | Torres-Vazquez, J A (author) ; van der Werf, J H J (author) ; Clark, S A (author) | Publication Date: | 2017 | Open Access: | Yes | Handle Link: | https://hdl.handle.net/1959.11/28986 | Open Access Link: | http://www.aaabg.org/aaabghome/fullproc22.php | Abstract: | Feed intake represents a major cost to all animal production systems. Increasing the efficiency in which animals turn this feed into product can be a major goal in many animal breeding programs. Consequently, Australian beef producers have been measuring many traits associated with feed efficiency in an attempt to increase the accuracy of selection, precision of genetic parameters estimates and ultimately increase the amount of genetic gain achieved. The objective of this study was to estimate genetic and phenotypic parameters for traits associated with feed efficiency from records on 1614 Angus Steers from the Australian Beef Information Nucleus (BIN). Traits analysed included Average Daily Weight Gain (ADG), Metabolic Mid-Weight (MMWT), Daily Feed Intake (FI), Feed Conversion Ratio (FCR) and Residual (or Net) Feed Intake (RFI). Parameters were estimated using bivariate animal models in ASReml. Heritability estimates ranged from 0.12 ±0.06 for FCR to 0.49 ±0.09 for FI. High genetic correlations were estimated between FI and RFI (0.83±0.05) and FI and ADG (0.81±0.08). Significant genetic correlation also existed between ADG and MMWT (0.65±0.12) and between MMWT and FI (0.68±0.08). Heritability estimates show that there would be a favourable response to selection for the efficiency traits in this population. The positive and unfavourable genetic correlation between ADG and RFI, suggest that improving RFI would result in lower ADG. Given this, further studies are required to investigate genetic associations between efficiency traits and other economically important traits, in addition to examine new ways of utilizing feed efficiency information in breeding programs. | Publication Type: | Conference Publication | Conference Details: | AAABG 2017: 22nd Conference of the Association for the Advancement of Animal Breeding and Genetics, Townsville, Australia, 2nd - 5th July, 2017 | Source of Publication: | Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.22, p. 461-464 | Publisher: | Association for the Advancement of Animal Breeding and Genetics (AAABG) | Place of Publication: | Armidale, Australia | ISSN: | 1328-3227 | Fields of Research (FoR) 2008: | 070201 Animal Breeding 060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics) 070202 Animal Growth and Development |
Fields of Research (FoR) 2020: | 300305 Animal reproduction and breeding 310506 Gene mapping 300301 Animal growth and development |
Socio-Economic Objective (SEO) 2008: | 830301 Beef Cattle | Socio-Economic Objective (SEO) 2020: | 100401 Beef cattle | Peer Reviewed: | Yes | HERDC Category Description: | E1 Refereed Scholarly Conference Publication | Publisher/associated links: | http://www.aaabg.org/aaabghome/ |
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Appears in Collections: | Conference Publication School of Environmental and Rural Science |
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