Potential use of video imaging and real-time ultrasound on incoming feeder steers to improve carcass uniformity

Author:

Basarab J. A.,Milligan D.,McKinnon J. J.,Thorlakson B. E.

Abstract

A study was conducted to evaluate two feeder cattle sorting systems for their ability to improve carcass backfat uniformity. One thousand and thirty-one yearling steers (407 kg; SD = 46.2 kg) were assembled and processed at three Alberta feedlots. Each steer was weighed and ultrasonically assessed for backfat thickness and l. dorsi area 88 to 154 d before slaughter. Rump height, frame score and muscle score were also recorded using an automated video imaging system, called the Musculo-Skeletal Imaging (MSI) Scanner. Sorting System 1 (MSI sorting system) used initial body weight, frame score and muscle score to hypothetically cluster animals into five "predicted days on feed" (PDOF) groups. Sorting System 2 (Oltjen sorting system) used initial body weight, rump height, backfat thickness, feeding inputs and a computer model of cattle growth to hypothetically cluster animals into five PDOF groups. Each sorting system was compared with the traditional system of visually sorting cattle at the end of the feeding period for its ability to reduce the variability in carcass backfat thickness. Steers were identified for slaughter when they reached the body weight and condition desired by the feedlot manager. The MSI sorting system decreased the variability in slaughter weight by 14.3% (P < 0.001), but had no effect on the variability in carcass backfat thickness compared with the observed variability. The change in predicted net return resulting from the MSI sorting system varied between feedlot from $−4.09 to $8.82 head−1 slaughtered. The Oltjen sorting system increased the variability in slaughter weight by 33.9% (P < 0.001) and decreased the variability in carcass backfat thickness by 15.5% (P < 0.001). The predicted net return from the Oltjen sorting system varied between feedlot from $−3.65 to $11.55 head−1 slaughtered. Further work is required to determine the actual effect of sorting systems on feed efficiency, carcass quality and net return. Key words: Sorting, computer model, electronic identification, steers

Publisher

Canadian Science Publishing

Subject

Animal Science and Zoology,Food Animals

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