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Please use this identifier to cite or link to this item: http://hdl.handle.net/11019/657

Title: Prediction of cull cow carcass characteristics from live weight and body condition score measured pre slaughter
Authors: Minchin, W.
Buckley, Frank
Kenny, David A.
Keane, Michael G.
Shalloo, Laurence
O'Donovan, Michael
Keywords: Animal measurements
Carcass characteristic
Cull cows
Predictive equations
Issue Date: 2009
Publisher: Teagasc, Oak Park, Carlow, Ireland
Citation: W. Minchin, F. Buckley, D.A. Kenny, M.G. Keane, L. Shalloo1 and M. O’Donovan. Prediction of cull cow carcass characteristics from live weight and body condition score measured pre slaughter. Irish Journal of Agricultural and Food Research 48: 75–86, 2009
Series/Report no.: Irish Journal of Agricultural and Food Research;vol 48
Abstract: A study was conducted to provide information on the degree of carcass finish of Irish cull cows and to investigate the usefulness of live animal measurements for the prediction beef breeds (albeit with a moderate R2 value compared to the carcass weight prediction) using objective, non-intrusive and easily measured live animal measurements, should be of benefit to farmers finishing cull cows in Ireland. of cull cow carcass characteristics. Live weight (LW) and body condition score (BCS) were recorded on cows entering an Irish commercial slaughter facility between September and November, 2005. Data pertaining to sire breed, age and carcass characteristics were collected and subsequently collated for each cow. For analysis, cows (n = 2163) were subdivided into three breed categories: dairy breed sired by Holstein/ Friesian (FR), sired by early-maturing beef breeds (EM) and sired by late-maturing beef breeds (LM). The proportion of cows slaughtered at the desired (TARGET) carcass standard (cold carcass weight ≥ 272 kg, carcass conformation class ≥ P+ and carcass fat class ≥ 3) was low (on average 0.30), but did differ (P < 0.001) between the dairy and beef breed categories (0.22, 0.47 and 0.53 for FR, EM and LM categories, respectively). Regression procedures were used to develop equations to predict cold carcass weight, carcass conformation score, carcass fat score and proportion in the TARGET category from LW and BCS. Equations predicting cold carcass weight had high R2 values for all breed categories (0.81, 0.85 and 0.79 for the FR, EM and LM, respectively). Equations predicting carcass fatness had moderate R2 values for the beef breed categories (0.65 and 0.59 for the EM and LM, respectively). Equations predicting carcass conformation and the TARGET category yielded lower R2 values. The successful prediction of carcass weight for all breed categories and of carcass fatness for the
Description: peer-reviewed
URI: http://hdl.handle.net/11019/657
ISSN: 0791-6833
Appears in Collections:Animal & Bioscience
Livestock Systems
IJAFR, volume 48, 2009
Food Chemistry & Technology

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