Publication

A WebGIS application for the monitoring of Farm Animal Genetic Resources

2014
Talks

Abstract

We developed used a WebGIS platform prototype (GenMon) based on open source software (PostgreSQL, PostGIS, OpenLayers, Geoserver), to assess pedigree information, geographical concentration, socio-economic and environmental information. GenMon includes PopRep developed by the Institute of Farm Animal Genetics (FLI, Germany) to run the pedigree analysis and to provide parameters such as inbreeding coefficient, effective population size. In parallel, the combined socio-economic/environmental index assesses the attractiveness and the risk of potential future agricultural practice abandonment in the regions where populations are bred. Finally, a multi-criteria decision support tool aggregates criteria using the MACBETH method, which is based on a weighted average using satisfaction thresholds. The system permits to upload basic information for each animal (parents, birth date, sex, location, introgression) and to choose relevant weighting parameters and thresholds.

Official source

https://infoscience.epfl.ch/entities/publication/d7431eb4-8749-465a-9c18-5b3278e97e92

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

2014
Talks

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/d7431eb4-8749-465a-9c18-5b3278e97e92

About this result

Related concepts (32)

Effective population size

The effective population size (Ne) is a number that, in some simplified scenarios, corresponds to the number of breeding individuals in the population. More generally, Ne is the number of individuals that an idealised population would need to have in order for some specified quantity of interest (typically change of genetic diversity or inbreeding rates) to be the same as in the real population. Idealised populations are based on unrealistic but convenient simplifications such as random mating, simultaneous birth of each new generation, constant population size, and equal numbers of children per parent.

Population size

In population genetics and population ecology, population size (usually denoted N) is a countable quantity representing the number of individual organisms in a population. Population size is directly associated with amount of genetic drift, and is the underlying cause of effects like population bottlenecks and the founder effect. Genetic drift is the major source of decrease of genetic diversity within populations which drives fixation and can potentially lead to speciation events.

Small population size

Small populations can behave differently from larger populations. They are often the result of population bottlenecks from larger populations, leading to loss of heterozygosity and reduced genetic diversity and loss or fixation of alleles and shifts in allele frequencies. A small population is then more susceptible to demographic and genetic stochastic events, which can impact the long-term survival of the population. Therefore, small populations are often considered at risk of endangerment or extinction, and are often of conservation concern.

Related publications (17)

A WebGIS application for the monitoring of Farm Animal Genetic Resources

Chat with Graph Search

Solidipes, a dataset curation tool

Generating antimicrobial peptides via genomic transfer learning

eFEL: Electrophysiology Feature Extraction Library