GnpIS-Ephesis, Plant Phenotype Field Experimentations Resources – Data Discovery and Dataset Building Use Cases.

Integrating phenotyping data from divers sources allow to conduct meta-analysis for climate change studies, genetic studies or genotype by environment studies. This integration relies on pivot object and data formatting. Due to the heterogeneity of Phenotyping data, this process is often complex, but we will show what are its benefices through GnpIS. This Information System has been built to allow the integration of genomic, genetic and phenomic data for plant and their pathogens and relies on identifying common pivot resources like germplasm, observation variables following the Crop Ontology framework, experimental locations and years. This allows to link together trials conducted by experimental facilities including field networks and high throughput phenotyping facilities in controlled environments or fields.

We will first demonstrate two approaches, datadiscovery and dataset building. The first one, implemented in GnpIS portal (https://urgi.versailles.inra.fr/gnpis) and the WheatIS (http://wheatis.org/Search.php) shows an overview of available data. The second approach allows to build and download datasets for yield evolution genotype by environment studies. This demonstration relies on public data (doi:10.15454/1.4489666216568333E12) provided by INRA . It includes fifteen years of observations on eleven experimental sites including agronomic and disease observations. We will then show how to build a climate change study dataset by getting phenology data for perennial species like Grape or Poplar, from which we can extract dataset for statistical analysis tools or model to evaluate adaptability of several hundreds of variety.

Aknowledgments

Duchène E, Lacombe T, Oury FX, Charmet G, Gauffretau A, Labernardière M, Lebreton A., Roumet P.