Evidence map›Paper›PMID 42898597›Full record

ArticleJournal of animal science and technology2026

Analysis of carcass weight and primal cuts production for Landrace × Yorkshire × Duroc pigs under temperature variations in Korea.

Jiwoo Kang, Youngjin Kim, Hyunsu Choi, Jaeyoung Kim, Yang-Il Choi, Euijong Lee, Jungseok Choi

Abstract read
In one paragraph

Article in Journal of animal science and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jiwoo KangDepartment of Animal Science, Chungbuk National University, Cheongju, Korea.ORCID https://orcid.org/0009-0005-6746-4533
Youngjin KimDepartment of Animal Science, Chungbuk National University, Cheongju, Korea.ORCID https://orcid.org/0009-0002-6243-3250
Hyunsu ChoiDepartment of Animal Science, Chungbuk National University, Cheongju, Korea.ORCID https://orcid.org/0000-0002-7516-2536
Jaeyoung KimDepartment of Animal Science, Chungbuk National University, Cheongju, Korea.ORCID https://orcid.org/0000-0002-2847-1731
Yang-Il ChoiOrge Co., Ltd, Jecheon, Korea.ORCID https://orcid.org/0000-0002-3423-525X
Euijong LeeSchool of Computer Science, Chungbuk National University, Cheongju, Korea.ORCID https://orcid.org/0000-0002-7308-7392
Jungseok ChoiDepartment of Animal Science, Chungbuk National University, Cheongju, Korea.ORCID https://orcid.org/0000-0001-8033-0410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the monthly production of primal cuts using a non-destructive carcass analyzer, non-destructive carcass analyzer (VCS2000), and to explore the correlations between monthly temperature variation and primal cuts production in 699,727 Landrace × Yorkshire × Duroc pigs by deriving correlations and regression equations between measured primal cuts production and carcass weight. The production yields of five primal cuts (shoulder blade, shoulder picnic, loin, belly, and ham) were quantified, with ham showing the highest yield and shoulder blade the lowest. Pearson correlation analysis revealed strong positive correlations (r > 0.7) between carcass weight and each primal cut, with the shoulder blade showing the highest correlation. Backfat thickness exhibited only weak positive correlations with primal cuts. Simple linear regression models for each primal cut yielded coefficients of determination (

Indexed as

Carcass weightLandrace × Yorkshire × Duroc pigNon-destructive carcass analyzerPrimal cutTemperature variations

Identifiers

PMID42898597
PMCPMC13678363

What OpenQuestion holds

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Registered trials

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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.