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dc.contributor.authorKelly, David N
dc.contributor.authorConnolly, K
dc.contributor.authorKelly, P
dc.contributor.authorCromie, A R
dc.contributor.authorMurphy, C P
dc.contributor.authorSleator, R D
dc.contributor.authorBerry, Donagh
dc.date.accessioned2023-09-04T14:36:21Z
dc.date.available2023-09-04T14:36:21Z
dc.date.issued2021-06-09
dc.identifier.citationDavid N Kelly, K Connolly, P Kelly, A R Cromie, C P Murphy, R D Sleator, D P Berry, Commercial beef farms excelling in terminal and maternal genetic merit generate more gross profit, Translational Animal Science, Volume 5, Issue 3, July 2021, txab101, https://doi.org/10.1093/tas/txab101en_US
dc.identifier.urihttp://hdl.handle.net/11019/3236
dc.descriptionpeer-revieweden_US
dc.description.abstractValidation of beef total merit breeding indexes for improving performance and profitability has previously been undertaken at the individual animal level; however, no herd-level validation of beef genetic merit and profit has been previously investigated. The objective of the present study was to quantify the relationship between herd profitability and both herd-average terminal and maternal genetic merit across 1,311 commercial Irish beef herds. Herd-level physical and financial performance data were available from a financial benchmarking tool used by Irish farmers and their extension advisors. Animal genetic merit data originated from the Irish Cattle Breeding Federation who undertake the national beef and dairy genetic evaluations. Herd-average genetic merit variables included the terminal index of young animals, the maternal index of dams, and the terminal index of service sires. The herds represented three production systems: 1) cow-calf to beef, 2) cow-calf to weanling/yearling, and 3) weanling/yearling to beef. Associations between herd financial performance metrics and herd average genetic merit variables were quantified using a series of linear mixed models with year, production system, herd size, stocking rate, concentrate input, and the two-way interactions between production system and herd size, stocking rate, and concentrate input included as nuisance factors. Herd nested within the county of Ireland (n = 26) was included as a repeated effect. Herds with young cattle excelling in terminal index enjoyed greater gross and net profit per hectare (ha), per livestock unit (LU), and per kg net live-weight output. The change in gross profit per LU per unit change in the terminal index of young animals was €1.41 (SE = 0.23), while the respective regression coefficient for net profit per LU was €1.37 (SE = 0.30); the standard deviation of the terminal index is €37. Herd-average dam maternal index and sire terminal index were both independently positively associated with gross profit per ha and gross profit per LU. Each one unit increase in dam maternal index (standard deviation of €38) was associated with a €1.40 (SE = 0.48) and €0.76 (SE = 0.29) greater gross profit per ha and per LU, respectively. Results from the present study at the herd-level concur with previous validation studies at the individual animal level thus instilling further confidence among stakeholders as to the expected improvement in herd profitability with improving genetic merit.en_US
dc.language.isoenen_US
dc.publisherOxford University Press (OUP)en_US
dc.relation.ispartofseriesTranslational Animal Science;Vol 5
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectgeneticsen_US
dc.subjectgross profiten_US
dc.subjectnet profiten_US
dc.subjectselection indexen_US
dc.subjectvalidationen_US
dc.titleCommercial beef farms excelling in terminal and maternal genetic merit generate more gross profiten_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1093/tas/txab101
dc.contributor.sponsorDepartment of Agriculture, Food and the Marine Irelanden_US
dc.contributor.sponsorGrantNumber17/s/235 (GreenBreed)en_US
dc.source.volume5
dc.source.issue3
refterms.dateFOA2023-09-04T14:36:22Z
dc.source.journaltitleTranslational Animal Science


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