Multivariate analysis of deboning data for classifying Hanwoo (Korean native cattle) by gender

Gender is an important factor in determining the market price of Hanwoo, but its discrimination is impossible after deboning. This study aims at identifying the variables in Hanwoo deboning data that could be used for gender identification and classification. Deboning data of Hanwoo were analysed by...

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Published inCurrent science (Bangalore) Vol. 114; no. 5; pp. 1075 - 1082
Main Authors Shim, Joon-Yong, Kim, Ha-Yeong, Cho, Byoung-Kwan, Yang, Seung Hwan, Mo, Changyeun, Do Kwon, Kyung, Kim, Jin-Hyoung, Lee, Wang-Hee
Format Journal Article
LanguageEnglish
Published Current Science Association 10.03.2018
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ISSN0011-3891
DOI10.18520/cs/v114/i05/1075-1082

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Summary:Gender is an important factor in determining the market price of Hanwoo, but its discrimination is impossible after deboning. This study aims at identifying the variables in Hanwoo deboning data that could be used for gender identification and classification. Deboning data of Hanwoo were analysed by discriminant function analysis. Seven pre-deboning and 24 post-deboning variables were identified and showed 91.3% and 98.9% accuracy in gender identification respectively. Discriminant power was 98.9% on using all 31 deboning variables. This result suggests that physical characteristics of meat parts are suitable factors for classification of beef by gender.
ISSN:0011-3891
DOI:10.18520/cs/v114/i05/1075-1082