Evidence map›Paper›PMID 36330304›Full record

ArticleEvolutionary applications2022

Consistent variations in personality traits and their potential for genetic improvement in biocontrol agents:

Silène Lartigue, Myriam Yalaoui, Jean Belliard, Claire Caravel, Louise Jeandroz, Géraldine Groussier, Vincent Calcagno, Philippe Louâpre, François-Xavier Dechaume-Moncharmont, Thibaut Malausa and 1 more

Abstract read
In one paragraph

Article in Evolutionary applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
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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

11 authors.

Silène LartigueENGREF AgroParisTech Paris France.ORCID https://orcid.org/0000-0002-3651-4957
Myriam YalaouiUMR Institut Sophia Agrobiotech, INRAE, UCA, CNRS Sophia Antipolis France.
Jean BelliardUMR Institut Sophia Agrobiotech, INRAE, UCA, CNRS Sophia Antipolis France.
Claire CaravelUMR Institut Sophia Agrobiotech, INRAE, UCA, CNRS Sophia Antipolis France.
Louise JeandrozUMR Institut Sophia Agrobiotech, INRAE, UCA, CNRS Sophia Antipolis France.
Géraldine GroussierUMR Institut Sophia Agrobiotech, INRAE, UCA, CNRS Sophia Antipolis France.
Vincent CalcagnoUMR Institut Sophia Agrobiotech, INRAE, UCA, CNRS Sophia Antipolis France.ORCID https://orcid.org/0000-0002-5781-967X
Philippe LouâpreUMR CNRS 6282 Biogéosciences Université Bourgogne Franche-Comté Dijon France.
François-Xavier Dechaume-MoncharmontUniv Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA Villeurbanne France.
Thibaut MalausaUMR Institut Sophia Agrobiotech, INRAE, UCA, CNRS Sophia Antipolis France.
Jérôme MoreauUMR CNRS 6282 Biogéosciences Université Bourgogne Franche-Comté Dijon France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improvements in the biological control of agricultural pests require improvements in the phenotyping methods used by practitioners to select efficient biological control agent (BCA) populations in industrial rearing or field conditions. Consistent inter-individual variations in behaviour (i.e. animal personality) probably affect BCA efficiency, but have never been taken into account in the development of phenotyping methods, despite having characteristics useful for phenotyping: repeatable (by definition), often heritable, etc. We developed a video-tracking method targeting animal personality traits and evaluated the feasibility of its use for genetic improvement in the BCA

Indexed as

animal personalitybehavioural ecologybiocontrolgenetic improvementinsectsTrichogramma

Identifiers

PMID36330304
PMCPMC9624082

What OpenQuestion holds

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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.