Evidence map›Paper›PMID 42011396›Full record

ArticleTranslational animal science2026

The effect of dose timing schedule on live performance, carcass cutting yields, and fat quality of market gilts managed using GnRF immunization.

B M Bohrer, B Hansen, D S Pollmann, K A Vonnahme, L Van De Weyer, A Aldaz

Abstract read
In one paragraph

Article in Translational animal science, 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

6 authors.

B M BohrerDepartment of Animal Sciences, The Ohio State University, Columbus, OH, 43210, United States.
B HansenBCH Consulting LLC, Atlantic, IA, 50022, United States.
D S PollmannDSP Consulting LLC, Alpine, UT, 84004, United States.
K A VonnahmeZoetis Inc., Parsippany, NJ, 07054, United States.
L Van De WeyerZoetis Canada Inc, Kirkland, Quebec, H9H 4M7, Canada.
A AldazZoetis Inc., Parsippany, NJ, 07054, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to evaluate the effects of dose timing on live performance, carcass cutting yields, and fat quality of gilts managed using GnRF immunization. The 15-week study began when 1056 gilts (11 weeks old; average starting weight of 31.7 kg) were allocated by weight to 48 pens, with 22 gilts per pen. Experimental treatments were arranged as a 2 × 2 factorial, with main effects of the interval between dose 1 and dose 2 of the GnRF immunization (4 or 6 weeks; interval between doses) and the interval between dose 2 and marketing [weighted averages of 49 days (long) or 35 days (short); marketing interval]. Age and days on feed were consistent among treatment groups, and pigs were marketed using a similar strategy, in which the heaviest 3-5 pigs from each pen were marketed during study week 12, the next heaviest 3-5 pigs from each pen were marketed during study week 14, and the remaining pigs in each pen were marketed during study week 15. Hot carcass weight and optical probe readings were collected at slaughter. Following slaughter, 283 carcasses (target of 24 per treatment for each marketing event) were selected for evaluation of carcass cutting yields and meat quality. There were limited interactions between interval between doses and marketing interval, with nonsignificant interactions (

Indexed as

anti-GnRFcarcass cutting yieldestrous suppressionfat depositionmeat qualityovarian activity

Identifiers

PMID42011396
PMCPMC13092127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.