Use of image analysis to evaluate morphometric measurements of broiler breast fillets affected by the woody breast condition.

Xiao Sun, Clay J Maynard, Juan P Caldas-Cueva, Yu Bai, Jinjie You, Yan Dong

Open access · greenAbstract read

In one paragraph

Article in Journal of food science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed

0.4field-weighted citation impact, top 44% of its field

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, 3 citations in OpenAlex.

Classification of broiler breast fillets based on multi-spectral fusion of NMR, FTIR and fluorescence.Poultry science · 2026
Article
Combined Relaxation Spectra for the Prediction of Meat Quality: A Case Study on Broiler Breast Fillets with the Wooden Breast Condition.Foods (Basel, Switzerland) · 2024
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Xiao SunSchool of Biological Science and Food Engineering, Chuzhou University, Chuzhou, 239000 Anhui China.ORCID 0000-0002-2529-1145

Clay J MaynardDepartment of Poultry Science, University of Arkansas Division of Agriculture, Fayetteville, AR 72701 USA.

Juan P Caldas-CuevaDepartment of Poultry Science, University of Arkansas Division of Agriculture, Fayetteville, AR 72701 USA.

Yu BaiSchool of Biological Science and Food Engineering, Chuzhou University, Chuzhou, 239000 Anhui China.

Jinjie YouSchool of Biological Science and Food Engineering, Chuzhou University, Chuzhou, 239000 Anhui China.

Yan DongSchool of Biological Science and Food Engineering, Chuzhou University, Chuzhou, 239000 Anhui China.

Chuzhou University · CNUniversity of Arkansas System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to investigate the relationships between morphometric measurements and woody breast (WB) severity in breast fillets using image processing as an objective detection method for WB. Breast fillets were collected and categorized as normal (NORM), mild (MILD), moderate (MOD), and severe (SEV). Compression force and energy increased as WB severity increased alongside a decrease in severity through fillet regions ( Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-022-05525-x.

Indexed as

Fillet classificationImage analysisMorphometric measurementWoody breast

Identifiers

PMID36193456

DOI10.1007/s13197-022-05525-x

PMCPMC9525462

OpenAlexW4283259428

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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.