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    Prediction of cull cow carcass characteristics from live weight and body condition score measured pre slaughter

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    Author
    Minchin, William
    Buckley, Frank
    Kenny, David A.
    Keane, Michael G.
    Shalloo, Laurence
    O'Donovan, Michael
    Keyword
    Animal measurements
    Carcass characteristic
    Cull cows
    Predictive equations
    Date
    2009
    
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    URI
    http://hdl.handle.net/11019/657
    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
    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
    Collections
    Grassland Science
    Livestock Systems
    Food Chemistry & Technology
    IJAFR, volume 48, 2009
    IJAFR, volume 48, 2009
    Animal & Bioscience

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