Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle.
With the development of the Korean economy, demand for high-quality beef, specifically Hanwoo beef, is escalating, with marbling traits-measured by the widely used marbling score-being a key contributor to meat palatability. The differences between the high-quality and the lower-quality meat, accord...
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| Format: | Article |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318058 |
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| author | Wang Yeol Lee Phuong Thanh N Dinh Yoonji Chung Hyo-Jun Lee Yeong Jun Koh Hyun Joo Kim Shil Jin Jaeho Lee Jun Heon Lee Ki Yong Chung Seung Hwan Lee Hyung-Yong Kim |
| author_facet | Wang Yeol Lee Phuong Thanh N Dinh Yoonji Chung Hyo-Jun Lee Yeong Jun Koh Hyun Joo Kim Shil Jin Jaeho Lee Jun Heon Lee Ki Yong Chung Seung Hwan Lee Hyung-Yong Kim |
| author_sort | Wang Yeol Lee |
| collection | DOAJ |
| description | With the development of the Korean economy, demand for high-quality beef, specifically Hanwoo beef, is escalating, with marbling traits-measured by the widely used marbling score-being a key contributor to meat palatability. The differences between the high-quality and the lower-quality meat, according to the satisfaction of the customers, are not the result from only the degree of marbling but also from the delicacy of the marbling flecks distribution. Using the computer marbling analysis technique, an index for quantifying marbling fineness of 256 sirloin cuts at 12th- 13th thoracic vertebra named F7 index was developed in this study. F7 index is defined as the standard deviation of the ratios of marbling particles area to the tile area, was developed in this study. At the optimal step size of 70 tiles per axis, F7 index discriminated dramatically the finely marbled and coarsely marbled sirloin with Beef Marbling Score from 6 to 9, with P value = 1.340 × 10-27 < 0.05 of. Although the efficiency of computer image analysis procedure with the F7 index is still being optimized, the F7 index shows great potential to enhance the accuracy of Hanwoo beef quality grading alongside marbling score and support the development of improved breeding strategies for the Hanwoo cattle population in Korea. |
| format | Article |
| id | doaj-art-3a103f3b31cf4868804e00ade4ecc8e2 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-3a103f3b31cf4868804e00ade4ecc8e22025-08-20T02:14:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031805810.1371/journal.pone.0318058Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle.Wang Yeol LeePhuong Thanh N DinhYoonji ChungHyo-Jun LeeYeong Jun KohHyun Joo KimShil JinJaeho LeeJun Heon LeeKi Yong ChungSeung Hwan LeeHyung-Yong KimWith the development of the Korean economy, demand for high-quality beef, specifically Hanwoo beef, is escalating, with marbling traits-measured by the widely used marbling score-being a key contributor to meat palatability. The differences between the high-quality and the lower-quality meat, according to the satisfaction of the customers, are not the result from only the degree of marbling but also from the delicacy of the marbling flecks distribution. Using the computer marbling analysis technique, an index for quantifying marbling fineness of 256 sirloin cuts at 12th- 13th thoracic vertebra named F7 index was developed in this study. F7 index is defined as the standard deviation of the ratios of marbling particles area to the tile area, was developed in this study. At the optimal step size of 70 tiles per axis, F7 index discriminated dramatically the finely marbled and coarsely marbled sirloin with Beef Marbling Score from 6 to 9, with P value = 1.340 × 10-27 < 0.05 of. Although the efficiency of computer image analysis procedure with the F7 index is still being optimized, the F7 index shows great potential to enhance the accuracy of Hanwoo beef quality grading alongside marbling score and support the development of improved breeding strategies for the Hanwoo cattle population in Korea.https://doi.org/10.1371/journal.pone.0318058 |
| spellingShingle | Wang Yeol Lee Phuong Thanh N Dinh Yoonji Chung Hyo-Jun Lee Yeong Jun Koh Hyun Joo Kim Shil Jin Jaeho Lee Jun Heon Lee Ki Yong Chung Seung Hwan Lee Hyung-Yong Kim Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle. PLoS ONE |
| title | Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle. |
| title_full | Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle. |
| title_fullStr | Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle. |
| title_full_unstemmed | Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle. |
| title_short | Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle. |
| title_sort | precise phenotyping method using image data for carcass marbling score in hanwoo cattle |
| url | https://doi.org/10.1371/journal.pone.0318058 |
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