L’UMR CBGP – Centre de Biologie pour la Gestion des Populations – a pour vocation de comprendre les mécanismes qui régissent l’évolution de populations d'organismes importants pour l’agronomie, les forêts, la santé humaine ou la conservation de la biodiversité. Les recherches portent sur des modèles biologiques et sont développées selon six axes : origine et caractérisation de la biodiversité ; adaptation des phytophages, de leurs ennemis naturels et de leurs symbiontes ; écologie et évolution des zoonoses ; biologie, écologie et évolution des espèces envahissantes ; génomique statistique et évolutive des populations ; approches moléculaires et bioinformatiques haut débit. Nos tutelles sont l'INRAE, le CIRAD, l'IRD et l'Institut Agro-Montpellier.

UMR CBGP – Centre de Biologie pour la Gestion des Populations – aims to understand the mechanisms that govern populations of organisms that are important to agriculture, forest, human health and biodiversity conservation. Studies concern biological models and follow six lines of research: origin and characterization of biodiversity; adaptation of plant eaters, their natural enemies and symbionts; ecology and evolution of zoonoses; biology, ecology and evolution of invasive species; statistical and evolutionary population genomics; and high-throughput molecular and bioinformatics techniques. Our supervising bodies are INRAE, CIRAD, IRD and Institut Agro-Montpellier.
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Plain Text - 33,5 KB - MD5: 182e98d0d85a34a2c9dd1a8b7faa31ed
Literature database on known functions of bacterial genera identified in insects. Categories are modified from Engel P, Moran NA. (2013) The gut microbiota of insects - diversity in structure and function. FEMS Microbiol Rev., 37,699-735. doi: 10.1111/1574-6976.12025. Epub 2013 J...
Plain Text - 7,9 KB - MD5: 655df8fea31dd5ca9bd2e2843b8addb3
Growth data on insect larvae: initial mass (at sampling) and mass gain at the end of the experiment.
16 mars 2022
DIOUF, Esther; PIOU, Cyril, 2022, "An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management", https://doi.org/10.18167/DVN1/5WELPP, CIRAD Dataverse, V1
Multi-agent model BOOSTIT source code for NetLogo (v. 6.1.1)
text/nlogo - 96,3 KB - MD5: e576d2e676b0583378e36ad43b7c425b
Code
Suitable for Nlogo 6.1.1
Unknown - 1,6 KB - MD5: 311233bbb49c4faa09ed6b80b078c423
Code
Part of Nlogo source code. Implementation of the fly surival (development and mortality) and the moult.
Unknown - 6,9 KB - MD5: feed3310d545aa7c40369b44d9758e82
Code
Part of Nlogo source code. Configuration of daily temperature and sensitivity periods of host plants.
Unknown - 2,9 KB - MD5: d5650e0462d8464a294c23b6f946c3eb
Code
Part of Nlogo source code. Configuration of the four orchards in a landscape .
Plain Text - 634 B - MD5: a11c9506b88e32bc2a92297207cbfaf2
Documentation
Unknown - 8,8 KB - MD5: a978d092801e9aac3b1b0e3a154c8ca2
Code
Part of Nlogo source code. Configuration of the different landscapes and host plant composition of the four orchards. The sterile males release zone are also configured.
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