Evidence map›Paper›PMID 31092303›Full record

ArticleAnimal : an international journal of animal bioscience2019

Towards the quantitative characterisation of piglets' robustness to weaning: a modelling approach.

M Revilla, N C Friggens, L P Broudiscou, G Lemonnier, F Blanc, L Ravon, M J Mercat, Y Billon, C Rogel-Gaillard, N Le Floch and 2 more

Abstract read
In one paragraph

Article in Animal : an international journal of animal bioscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  14. Modelling the feed intake response of growing pigs to diets contaminated with mycotoxins.Animal : an international journal of animal bioscience · 2020
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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

12 authors.

M RevillaGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.ORCID 0000-0002-0164-9317
N C FriggensUMR MoSAR, INRA, AgroParisTech, Université Paris-Saclay, 75005, Paris, France.
L P BroudiscouUMR MoSAR, INRA, AgroParisTech, Université Paris-Saclay, 75005, Paris, France.
G LemonnierGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
F BlancGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
L RavonUE GenESI, INRA, 17700, Surgères, France.
M J MercatIFIP-Institut du porc and Alliance R&D, 35651, Le Rheu, France.
Y BillonUE GenESI, INRA, 17700, Surgères, France.
C Rogel-GaillardGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
N Le FlochUMR PEGASE, INRA, AgroCampus Ouest, 35590, Saint-Gilles, France.
J EstelléGABI, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
R Muñoz-TamayoUMR MoSAR, INRA, AgroParisTech, Université Paris-Saclay, 75005, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weaning is a critical transition phase in swine production in which piglets must cope with different stressors that may affect their health. During this period, the prophylactic use of antibiotics is still frequent to limit piglet morbidity, which raises both economic and public health concerns such as the appearance of antimicrobial-resistant microbes. With the interest of developing tools for assisting health and management decisions around weaning, it is key to provide robustness indexes that inform on the animals' capacity to endure the challenges associated with weaning. This work aimed at developing a modelling approach for facilitating the quantification of piglet resilience to weaning. A total of 325 Large White pigs weaned at 28 days of age were monitored and further housed and fed conventionally during the post-weaning period without antibiotic administration. Body weight and diarrhoea scores were recorded before and after weaning, and blood was sampled at weaning and 1 week later for collecting haematological data. A dynamic model was constructed based on the Gompertz-Makeham law to describe live weight trajectories during the first 75 days after weaning, following the rationale that the animal response is partitioned in two time windows (a perturbation and a recovery window). Model calibration was performed for each animal. Our results show that the transition time between the two time windows, as well as the weight trajectories are characteristic for each individual. The model captured the weight dynamics of animals at different degrees of perturbation, with an average coefficient of determination of 0.99, and a concordance correlation coefficient of 0.99. The utility of the model is that it provides biologically meaningful parameters that inform on the amplitude and length of perturbation, and the rate of animal recovery. Our rationale is that the dynamics of weight inform on the capability of the animal to cope with the weaning disturbance. Indeed, there were significant correlations between model parameters and individual diarrhoea scores and haematological traits. Overall, the parameters of our model can be useful for constructing weaning robustness indexes by using exclusively the growth curves. We foresee that this modelling approach will provide a step forward in the quantitative characterisation of robustness.

Indexed as

WeaningAnimalsDiarrheaFemaleModels, BiologicalSwineSwine DiseasesWeight Gainbody weightdynamic modellingperturbationpigsresilience

Identifiers

PMID31092303
PMCPMC6801654

What OpenQuestion holds

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LicenceCC BY
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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.