Evidence map›Paper›PMID 40431593›Full record

ArticleVeterinary sciences2025

Case Study on the Genetic Parameters and Possibilities of Selecting Gilts for Traits Monitored in the Performance Test.

Nenad Stojiljković, Čedomir Radović, Marija Gogić, Vladimir Živković, Aleksandra Petrović, Krstina Zeljić Stojiljković, Dubravko Škorput

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. 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
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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.

Nenad StojiljkovićInstitute for Animal Husbandry, Autoput 16, 11080 Belgrade, Serbia.ORCID 0000-0002-4592-9951
Čedomir RadovićInstitute for Animal Husbandry, Autoput 16, 11080 Belgrade, Serbia.ORCID 0000-0002-1800-2448
Marija GogićInstitute for Animal Husbandry, Autoput 16, 11080 Belgrade, Serbia.ORCID 0000-0001-8121-4649
Vladimir ŽivkovićInstitute for Animal Husbandry, Autoput 16, 11080 Belgrade, Serbia.ORCID 0000-0001-8938-4677
Aleksandra PetrovićInstitute for Animal Husbandry, Autoput 16, 11080 Belgrade, Serbia.
Krstina Zeljić StojiljkovićInstitute for Animal Husbandry, Autoput 16, 11080 Belgrade, Serbia.
Dubravko ŠkorputFaculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000 Zagreb, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research examined the phenotypic and genotypic variability of traits assessed in the gilt performance test and their subsequent impact on gilt selection. The traits evaluated in the gilt performance test were analyzed on two pig farms over a period of 3 consecutive years. A total of 3664 gilts were included in the research. At the end of the test, body weight, backfat thickness (BF1 and BF2), and longissimus dorsi muscle depth (MLD) were measured using an ultrasound device. The following breeds were evaluated on the farms: Landrace (L)-1981 gilts, Large White (LW)-1344 gilts, and Duroc (D)-339 gilts. In the analyzed population, direct genetic effects accounted for 0.2647 of the total variation in age at the end of the test (AET). Heritability coefficients of 0.37 for BF1 and 0.35 for BF2 indicate that these traits are highly heritable in the studied population. On the other hand, the heritability coefficient for the depth of MLD, which is 0.23, places this trait in the group of medium heritable traits. High heritability coefficients of these traits indicate great potential for genetic improvement through selection. The use of well-designed selection programs aimed at these traits can significantly accelerate the genetic improvement of the population and have an impact on the economic profit of pork production.

Indexed as

backfat thicknessfield testheritabilityMLDmodelingpigs

Identifiers

PMID40431593
PMCPMC12115483

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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.