Evidence map›Paper›PMID 39854587›Full record

ArticlePloS one2025

Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle.

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 and 2 more

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Wang Yeol LeeKorea Institute for Animal Products Quality Evaluation, Sejong, Republic of Korea.
Phuong Thanh N DinhDepartment of Bio-AI Convergence, Chungnam National University, Daejeon, Republic of Korea.ORCID 0000-0002-3057-0210
Yoonji ChungDivision of Animal & Dairy Science, Chungnam National University, Daejeon, Republic of Korea.
Hyo-Jun LeeDepartment of Bio-AI Convergence, Chungnam National University, Daejeon, Republic of Korea.
Yeong Jun KohDepartment of Bio-AI Convergence, Chungnam National University, Daejeon, Republic of Korea.
Hyun Joo KimHanwoo Research Institute, National Institute of Animal Science, Pyeongchang, Republic of Korea.
Shil JinHanwoo Research Institute, National Institute of Animal Science, Pyeongchang, Republic of Korea.
Jaeho LeeDepartment of Bio-AI Convergence, Chungnam National University, Daejeon, Republic of Korea.
Jun Heon LeeDivision of Animal & Dairy Science, Chungnam National University, Daejeon, Republic of Korea.
Ki Yong ChungDepartment of Beef Science, Korea National College of Agriculture and Fisheries, Jeonju, Republic of Korea.
Seung Hwan LeeDivision of Animal & Dairy Science, Chungnam National University, Daejeon, Republic of Korea.
Hyung-Yong KimInsilicogen, Inc., Yongin, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Image Processing, Computer-AssistedMeatRed MeatAnimalsCattlePhenotypeRepublic of Korea

Identifiers

PMID39854587
PMCPMC11760004

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.