Accéder directement au contenu Accéder directement à la navigation
Nouvelle interface
Article dans une revue

Consistent variations in personality traits and their potential for genetic improvement in biocontrol agents: Trichogramma evanescens as a case study.

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 Trichogramma evanescens, by phenotyping 1,049 individuals from 24 isogenic lines. We found consistent individual variations in boldness, activity and exploration. Personality differences between the 24 isogenic lines suggested a genetic origin of the variations in activity and exploration (broad‐sense heritability estimates of 0.06 to 0.11) and revealed a trade‐off between exploration and fecundity.
Type de document :
Article dans une revue
Liste complète des métadonnées

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-03857477
Contributeur : Rémi Laffont Connectez-vous pour contacter le contributeur
Soumis le : jeudi 17 novembre 2022 - 11:54:58
Dernière modification le : vendredi 18 novembre 2022 - 09:48:54

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Lien texte intégral

Identifiants

Citation

Silène Lartigue, Myriam Yalaoui, Jean Belliard, Claire Caravel, Louise Jeandroz, et al.. Consistent variations in personality traits and their potential for genetic improvement in biocontrol agents: Trichogramma evanescens as a case study.. Evolutionary Applications, 2022, 15 (10), pp.1565-1579. ⟨10.1111/eva.13329⟩. ⟨hal-03857477⟩

Partager

Métriques

Consultations de la notice

0