Each muscle area and the ratio of muscle area to total area (muscle area ratio) were calculated from the 117 cross-sections of crossbreed of Japanese Black and Limousin. The aim of this study was to investigate the relationship between their image analysis traits and cutability. Each muscle area, fat area, muscle area ratio, fat area ratio of rib eye and trimming subcutaneous fat area were calculated by image analysis. Weights of total bone, trimming fat, kidney leaf fat, other removable parts and each retail cut as rib loin were measured by physical dissection. Cutability and percentage of each retail cut were calculated based on weights and the carcass weights. The correlation coefficient between cutability and muscle area ratio was the highest with the value of 0.66. Selected variables for the prediction equation for estimating cutability were trimming subcutaneous fat area,
M. latissimus dorsi area, fat area ratio of rib eye,
M. rhomboideus area and
M. spinalis thoracis area, and the coefficient of determination (R
2) of the multiple regression equation was 0.57. In 16 days, 22 images for 3 days, whose correlation coefficients between cutability and muscle area ratio were 0.90 or more, were extracted, and their cutability was predicted using multiple regression. The R
2 of the prediction equation was 0.92, which was very high. Also, the percentage of each retail cut was predicted for those 22 images. They were relatively high R
2 (0.78∼0.82) except rib loin. Therefore, the possibility of predicting the percentage of each retail cut from the information obtained by image analysis was suggested.
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