Evidence map›Paper›PMID 37525252›Full record

ArticleJournal of animal science and biotechnology2023

A promising resilience parameter for breeding: the use of weight and feed trajectories in growing pigs.

Wim Gorssen, Carmen Winters, Roel Meyermans, Léa Chapard, Katrijn Hooyberghs, Steven Janssens, Abe Huisman, Katrijn Peeters, Han Mulder, Nadine Buys

Abstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Evaluating the Predictive Value of Estimated Breeding Values of Piétrain Sires for Uniformity and Survival in Their Crossbred Progeny.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Selection for Resilience in Livestock Production Systems.International journal of molecular sciences · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Wim GorssenCenter for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30 - Box 2472, 3001, Leuven, Belgium.ORCID http://orcid.org/0000-0002-7224-0746
Carmen WintersLaboratory for Biological Psychology, KU Leuven, Tiensestraat 102 - Box 3714, 3000, Leuven, Belgium.
Roel MeyermansCenter for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30 - Box 2472, 3001, Leuven, Belgium.
Léa ChapardCenter for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30 - Box 2472, 3001, Leuven, Belgium.
Katrijn HooyberghsCenter for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30 - Box 2472, 3001, Leuven, Belgium.
Steven JanssensCenter for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30 - Box 2472, 3001, Leuven, Belgium.
Abe HuismanHendrix Genetics, P.O. Box 114, 5830 AC, Boxmeer, The Netherlands.
Katrijn PeetersHendrix Genetics, P.O. Box 114, 5830 AC, Boxmeer, The Netherlands.
Han MulderResearch Animal Breeding and Genomics, Wageningen University, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
Nadine BuysCenter for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30 - Box 2472, 3001, Leuven, Belgium. nadine.buys@kuleuven.be.

Funding

Fonds Wetenschappelijk Onderzoek 1104320NFonds Wetenschappelijk Onderzoek 1S05818NFonds Wetenschappelijk Onderzoek 1S37119NKU Leuven C24/18/036
6 · The paper itself

Abstract

backgroundIncreasing resilience is a priority in modern pig breeding. Recent research shows that general resilience can be quantified via variability in longitudinal data. The collection of such longitudinal data on weight, feed intake and feeding behaviour in pigs has been facilitated by the development of technologies such as automated feeding stations. The goal of this study was to investigate resilience traits, which were estimated as deviations from longitudinal weight, feed intake and feeding behaviour data during the finishing phase. A dataset with 324,207 records between the age of 95 and 155 days on 5,939 Piétrain pigs with known pedigree and genomic information was used. We provided guidelines for a rigid quality control of longitudinal body weight data, as we found that outliers can significantly affect results. Gompertz growth curve analysis, linear modelling and trajectory analyses were used for quantifying resilience traits.

resultsTo our knowledge, this is the first study comparing resilience traits from longitudinal body weight, feed intake and feeding behaviour data in pigs. We demonstrated that the resilience traits are lowly to moderately heritable for deviations in body weight (h

conclusionsOur results will help future studies investigating resilience traits and resilience-related traits. Moreover, our study provides first results on standardization of quality control and efficient data sampling from automated feeding station data. Our findings will be valuable for breeding organizations as they offer evidence that pigs' general resilience can be selected on with good accuracy. Moreover, this methodology might be extended to other species to quantify resilience based on longitudinal data.

Indexed as

DeviationsGeneticsGompertz growth curvesHeritabilityPigsPredictive abilityResilienceTrajectory analysis

Identifiers

PMID37525252
PMCPMC10391771

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.