Comparison of calf-fed vs. yearling-fed management for the estimation of carcass trait genetic parameters in Simmental cattle

dc.contributor.advisor Gene Rouse
dc.contributor.author Tait, Richard
dc.contributor.department Department of Animal Science
dc.date 2018-08-25T00:50:35.000
dc.date.accessioned 2020-07-02T05:38:52Z
dc.date.available 2020-07-02T05:38:52Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2006
dc.date.embargo 2013-04-05
dc.date.issued 2006-01-01
dc.description.abstract <p>Selection indexes for feedlot performance have been developed by U.S. beef breed associations to help commercial producers with multiple trait selection decisions. The objective of this study was to evaluate the implications of backgrounding cattle after weaning on selection for feedlot profitability. Carcass data records for 11,011 animals and a three generation pedigree were obtained from the American Simmental Association database. Carcass traits of primary interest in this analysis were marbling score (MARB), 12<sup>th</sup> rib fat thickness (CFT), 12<sup>th</sup> rib ribeye area (CREA), and hot carcass weight (HCW). Estimated post weaning gain (EPWG) was determined using weaning weight and HCW for each individual. Post-weaning management strategies of direct placement into the feedlot (Calf-Fed) or backgrounding then placement into the feedlot (Yrlg-Fed) were evaluated. When HarvestCG and percent Simmental were included as fixed effects in multiple trait models, Calf-Fed management heritability estimates for EPWG, MARB, CFT, CREA, and HCW were 0.38, 0.38, 0.46, 0.38, and 0.45, respectively. Management as Yrlg-Fed reduced heritability estimates of EPWG, MARB, CFT, CREA, and HCW by 0.25, 0.09, 0.36, 0.10, and 0.16, respectively. Expression of EPWG, MARB, CFT, CREA, and HCW had strong positive genetic correlations under Calf-Fed and Yrlg-Fed management of 0.84, 0.95, 0.85, 0.79, and 0.61, respectively. We also investigated several potential shifts to the economic environment and how these shifts would influence sire selection decisions based on the selection index for feedlot profit under Calf-Fed management. A dynamic economic sensitivity analysis was performed. The sire index rank correlation was greater than or equal to 0.872 between any of the dynamic economic shifts. Furthermore, efficiency of selection when a dynamic economic shift occurs between selection of parents and production of progeny was greater than 0.893 across all of our dynamic economic shifts. It is very likely that the same sires would be selected for profit in feedlot performance across all of our tested economic situations. Overall, the Calf-Fed management system helped to better identify genetic differences among animals for carcass traits and selection index values based on Calf-Fed management data were very robust across a multitude of economic situations.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/39/
dc.identifier.articleid 1039
dc.identifier.contextkey 4000470
dc.identifier.doi https://doi.org/10.31274/rtd-180813-7555
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/39
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/76473
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/39/2006_TaitRG_ComparisonCalffed.pdf|||Fri Jan 14 23:54:21 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Animal Sciences
dc.subject.disciplines Genetics
dc.subject.keywords Animal science
dc.subject.keywords Animal breeding and genetics (Quantitative genetics)
dc.subject.keywords Quantitative genetics
dc.subject.keywords Animal breeding and genetics
dc.title Comparison of calf-fed vs. yearling-fed management for the estimation of carcass trait genetic parameters in Simmental cattle
dc.type dissertation
dc.type.genre dissertation
dspace.entity.type Publication
relation.isAuthorOfPublication 87b905df-0ec5-436c-b54a-54a44503da6c
relation.isOrgUnitOfPublication 85ecce08-311a-441b-9c4d-ee2a3569506f
thesis.degree.level dissertation
thesis.degree.name Doctor of Philosophy
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