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Multivariate Analysis of Deboning Data for Classifying Hanwoo (Korean Native Cattle) by Gender


Affiliations
1 Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, 34134, Korea, Democratic People's Republic of
2 National Institute of Agricultural Sciences, Rural Development Administration, 54875, Korea, Democratic People's Republic of
 

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.

Keywords

Beef Gender, Discriminant Function Analysis, Gender Classification, Hanwoo, Deboning Data.
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  • Multivariate Analysis of Deboning Data for Classifying Hanwoo (Korean Native Cattle) by Gender

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Authors

Joon-Yong Shim
Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, 34134, Korea, Democratic People's Republic of
Ha-Yeong Kim
Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, 34134, Korea, Democratic People's Republic of
Byoung-Kwan Cho
Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, 34134, Korea, Democratic People's Republic of
Seung Hwan Yang
Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, 34134, Korea, Democratic People's Republic of
Changyeun Mo
National Institute of Agricultural Sciences, Rural Development Administration, 54875, Korea, Democratic People's Republic of
Kyung Do Kwon
National Institute of Agricultural Sciences, Rural Development Administration, 54875, Korea, Democratic People's Republic of
Jin-Hyoung Kim
National Institute of Agricultural Sciences, Rural Development Administration, 54875, Korea, Democratic People's Republic of
Wang-Hee Lee
Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, 34134, Korea, Democratic People's Republic of

Abstract


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.

Keywords


Beef Gender, Discriminant Function Analysis, Gender Classification, Hanwoo, Deboning Data.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi05%2F1075-1082