Impact of measurement errors on alternative predictors of lean meat proportion of lamb carcasses
Conference Paper
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abstract
The objectives of this study were to evaluate the impact of measurement
errors on alternative predictors of lean meat proportion (LMP) of lamb
carcasses. Ninety eight lambs (72 males and 26 females) of Churra Galega
Bragançana breed were slaughtered, and carcasses were weighed (HCW)
approximately 30 min after exsanguination. During carcasses quartering a
caliper was used to perform tissue depth measurements, over the
maximum depth of longissimus muscle (LM), between the 12th and 13th
ribs (C12 ), and between the 3rd and 4th lumbar vertebrae (C3). The C12
and C3 measurements were contaminated with simulated measurement
errors, and three distributions for random error were simulated: 1} random
error with mean 0 and variance of 0.25 mm (E ~ N(0,0.25mm), 2) random
error with mean 0 and variance of 0.50 mm (E ~ N(0,0.50mm)), and 3)
random error with mean 0 and variance of 0.75 mm (E ~ N(0,0.75mm)).
Simple and multiple linear regression models were developed using as
independent variables the measured (original) and the biased C12 and C3
measurements as predictors of LMP. The coefficient of determination and
the residual standard deviation were computed. This work shows that
measurement errors of subcutaneous fat can have a high impact on the
stability of models to predict the carcasses LMP. The subcutaneous fat
measurements of higher magnitude are less sensitive to measurement
errors, and give rise to more stable prediction models.
