A model to estimate the economic value of using individual fleece fibre diameter measurements to class wool

• Published in: Agricultural systems Vol. 41; no. 4; pp. 475 - 486
• Main Authors: Vizard, Andrew L., Williams, Scott H.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 1993; Elsevier
• Series: Agricultural Systems
• Subjects: averages; classer (computer model); clip preparation; clipping; comparisons; computer simulation; costs and returns; diameter; dietary fiber; fleece; grading; innovation adoption; market prices; objective classing; simulation models; standard deviation; testing; traditional classing; value theory; wool; Australia
• ISSN: 0308-521X; 1873-2267
• DOI: 10.1016/0308-521X(93)90046-5

Woolclassing in Australia traditionally relies upon a subjective visual appraisal of fleeces. A new approach to woolclassing, termed objective classing, has been adopted by some woolgrowers. In objective classing, fine and broad lines of wool are created using pre-measured individual fibre diameter data, rather than the subjective appraisal of the classer. This paper describes a computer model that estimates the clip preparation that maximises net return, and the expected economic value of objective classing. The effect of mean and standard deviations of fibre diameter, test precision, wool market conditions, and clip preparation on expected economic value was examined. Results indicated that objective classing was not of universal benefit. The value of objective classing was greatest for fine wool, particularly if sold when there was a large premium for fine wool and a high market indicator. The economic value of objective classing rapidly reduced if the standard deviation of the fibre diameter test fell below 0·5 μm, or if the clip was sub-optimally prepared. In many circumstances objective classing was not economically justifiable, unless the fibre diameter measurements were used for other purposes, such as a genetic improvement programme.