Evidence map›Paper›PMID 39691621›Full record

ArticleJournal of animal science and technology2024

Effects of an extra-high slaughter weight and a low-lysine diet on growth and meat quality of finishing gilts.

Chul Young Lee, Eun-Yeong Lee, Tae-Whan Park, Yeon-Hae Jeong, Yu-Min Son, Sang-Hyon Oh, Seon-Tea Joo, Jae-Cheol Jang

Abstract read
In one paragraph

Article in Journal of animal science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Chul Young LeeDepartment of Animal Resources Technology, Gyeongsang National University, Jinju 52725, Korea.ORCID https://orcid.org/0000-0002-4735-1268
Eun-Yeong LeeDivision of Animal Science, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0000-0002-3467-7349
Tae-Whan ParkDepartment of Animal Resources Technology, Gyeongsang National University, Jinju 52725, Korea.ORCID https://orcid.org/0009-0003-6739-2504
Yeon-Hae JeongDivision of Animal Science, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0009-0008-1397-5874
Yu-Min SonDivision of Animal Science, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0000-0002-0793-4055
Sang-Hyon OhDivision of Animal Science, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0000-0002-9696-9638
Seon-Tea JooDivision of Animal Science, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0000-0002-5483-2828
Jae-Cheol JangDivision of Animal Science, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0000-0001-9843-3186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to find out the feasibility of increasing the meat quality of finishing gilts by increasing their slaughter weight (SW) to an extra-high (XH) level and also by using a low-lysine (lys) diet in XH-weight pig production. Twenty-four gilts and eights barrows were divided into four treatments (T) by gender, SW, and diet: T1 (barrow; 116-kg SW; Medium [Med]-lys [0.80%] diet), T2 (gilt; 116-kg SW; Med-lys), T3 (gilt; XH [150 kg] SW; Med-lys), and T4 (gilt; XH SW, Low-lys [0.60%]). Growth performance from 85 kg of body weight to SW was measured only for T3 and T4. All animals were slaughtered at their target SW, followed by physicochemical analyses and sensory evaluation on the

Indexed as

Backfat thicknessDietary lysineFinishing giltPork qualitySlaughter weightWeight gain

Identifiers

PMID39691621
PMCPMC11647407

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.