UMR CBGP

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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111 to 120 of 133 Results

setup_patches.nls 16 mars 2022 - An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management 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.
setup_steriles_males.nls 16 mars 2022 - An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management Unknown - 4,5 KB - MD5: 96e2e5632f844ff9c5bc92bc230acdad Code Part of nlogo source code. The setup of the sterile males and the number that will be released in each orchard.
setup_wild_flies.nls 16 mars 2022 - An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management Unknown - 2,3 KB - MD5: ff779fc8110f1c98b277a76a4d4b1b03 Code Part of Nlogo source code. The setup of the different stages of the fly and their location in the orchards.
tempAcceptHumidity.csv 16 mars 2022 - An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management Comma Separated Values - 11,9 KB - MD5: 473c2d58d64de9e0a7d05217d4cd8a69 Data Temperature and fruit availability input data
DesertLocust_Dataset.txt 23 sept. 2021 - Original data for "Chapuis et al., 2021. Additive genetic variance for traits least related to fitness increases with environmental stress in the desert locust, Schistocerca gregaria. Ecology and Evolution, 11: 13930-13947." Plain Text - 78,2 KB - MD5: 86fc14b1f49806508fba558f90a83beb Data Phenotypic measurements for the 483 desert locust individuals surveyed at the 4th laboratory generation (i.e., the half-sib/full-sib families)
DesertLocust_Pedigree.txt 23 sept. 2021 - Original data for "Chapuis et al., 2021. Additive genetic variance for traits least related to fitness increases with environmental stress in the desert locust, Schistocerca gregaria. Ecology and Evolution, 11: 13930-13947." Plain Text - 14,3 KB - MD5: a64c68333f6d14867d5896772ee5bc24 Data Four-generation pedigree data, including the 4th generation half-sib/full-sib families (for phenotypic measurements) and the three prior generations (for environmental standardization within laboratory)
ScriptR_Genetic_Analyses.R 23 sept. 2021 - Original data for "Chapuis et al., 2021. Additive genetic variance for traits least related to fitness increases with environmental stress in the desert locust, Schistocerca gregaria. Ecology and Evolution, 11: 13930-13947." R Syntax - 27,0 KB - MD5: 2b4af3891d5e7acf4736f892d6360f97 Code R script to run (1) quantitative genetic analyses on the 10 traits data measured in the 264 desert locust individuals and (2) simulation analysis of the statistical power of our quantitative genetics analysis
ScriptR_Phenotypic_Analyses.R 23 sept. 2021 - Original data for "Chapuis et al., 2021. Additive genetic variance for traits least related to fitness increases with environmental stress in the desert locust, Schistocerca gregaria. Ecology and Evolution, 11: 13930-13947." R Syntax - 13,5 KB - MD5: 1eae8a93a71b014ba9e946088c6195cb Code R script to run phenotypic analyses on the 10 traits data measured in the 264 desert locust individuals
ALMMAS1.5.nlogo 20 janv. 2021 - Multi-agent model ALMMAS 1.5: source code text/nlogo - 123,1 KB - MD5: d2d16dc4f3082d2389a66a1aedc3ad39 Code Suitable for Netlogo 6.1.1
Readme.txt 20 janv. 2021 - Multi-agent model ALMMAS 1.5: source code Plain Text - 79 B - MD5: 20c0b79b96fa22c37c51f8fcb7498f2f Documentation Where to download NetLogo

setup_patches.nls

16 mars 2022 - An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management

Unknown - 8,8 KB -

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.

setup_steriles_males.nls

16 mars 2022 - An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management

Unknown - 4,5 KB -

Code

Part of nlogo source code. The setup of the sterile males and the number that will be released in each orchard.

setup_wild_flies.nls

16 mars 2022 - An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management

Unknown - 2,3 KB -

Code

Part of Nlogo source code. The setup of the different stages of the fly and their location in the orchards.

tempAcceptHumidity.csv

16 mars 2022 - An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management

Comma Separated Values - 11,9 KB -

Data

Temperature and fruit availability input data

DesertLocust_Dataset.txt

23 sept. 2021 - Original data for "Chapuis et al., 2021. Additive genetic variance for traits least related to fitness increases with environmental stress in the desert locust, Schistocerca gregaria. Ecology and Evolution, 11: 13930-13947."

Plain Text - 78,2 KB -

Data

Phenotypic measurements for the 483 desert locust individuals surveyed at the 4th laboratory generation (i.e., the half-sib/full-sib families)

DesertLocust_Pedigree.txt

Plain Text - 14,3 KB -

Data

Four-generation pedigree data, including the 4th generation half-sib/full-sib families (for phenotypic measurements) and the three prior generations (for environmental standardization within laboratory)

ScriptR_Genetic_Analyses.R

R Syntax - 27,0 KB -

Code

R script to run (1) quantitative genetic analyses on the 10 traits data measured in the 264 desert locust individuals and (2) simulation analysis of the statistical power of our quantitative genetics analysis

ScriptR_Phenotypic_Analyses.R

R Syntax - 13,5 KB -

Code

R script to run phenotypic analyses on the 10 traits data measured in the 264 desert locust individuals

ALMMAS1.5.nlogo

20 janv. 2021 - Multi-agent model ALMMAS 1.5: source code

text/nlogo - 123,1 KB -

Code

Suitable for Netlogo 6.1.1

Readme.txt

20 janv. 2021 - Multi-agent model ALMMAS 1.5: source code

Plain Text - 79 B -

Documentation

Where to download NetLogo

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