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S. D. Shackelford2, T. L. Wheeler, and M. Koohmaraie - page 7 / 10

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IMAGE ANALYSIS OF BEEF

2637

Repeatability of Image Analysis. Repeatability esti- mates for predicted RPYD (R = .99) and predicted SLA (R = .99) were very high, which indicated that the process of collecting and analyzing the images was

ity, and USDA yield grade, a subjective estimate of carcass composition. Even though USDA yield grade is

=

.63

et

al.,

a

relatively

accurate

(R

2

carcass

composition

(Cross

to

.87)

predictor

of

1973;

Crouse

et

al.,

highly repeatable.

1975; Jones et al., 1990; Shackelford et al., 1995), producers continue to distrust use of yield grade in

Discussion

At present, beef carcass value is a function of USDA quality grade, a subjective estimate of meat palatabil-

pricing formulas because of its subjectivity. Thus, it is widely believed that development of an accurate, objective method of estimating carcass composition would facilitate value-based marketing (Value Based Marketing Task Force, 1990; Cross and Savell, 1994).

Figure 3. Comparison of the ability of image analysis and yield grade to predict retail product weight (n = 66).

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