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Génétique Quantitative et Évolution - Le Moulon

Edith GAROT

Edith GAROT

Postdoctoral fellow, INRAE

  • statistics,
  • genotype-environment,
  • maize

edith.garot@inrae.fr

+33 (0)1 69 33 23 56

orcid.org/0000-0001-5569-0895

Publications

  • Génétique Quantitative et Évolution - Le Moulon
  • Université Paris-Saclay, INRAE, CNRS, AgroParisTech
  • Ferme du Moulon
  • F-91190 Gif-sur-Yvette

Position and academic records

  • 2020 : Post-doctoral position, INRAE, UMR GQE-Le Moulon, BASE team, Gif-sur-Yvette, France. Deciphering genotype × environment interactions in maize inbreed lines Project Warm Rules, funded by DATA IA Institue of Convergence Supervisors : Christine Dillmann , Élodie Marchadier
  • 2019 : PhD, UMR DIADE, IRD, University of Montpellier. Dynamics of genetic diversity in insular territories : genetic structure, demographic history and local adaptation of a tree (Coffea mauritiana Lam.) endemic to Reunion Island Supervisor : Philippe Lashermes
  • 2016 : MSc in Engineering - Agricultural and agronomy engineering, Agrocampus Ouest, Rennes (formerly École Nationale Supérieure Agronomique de Rennes) Specialisation : Plant production / Plant breeding
  • 2013 : Preparatory course for entry in French Agronomy “Grandes Ecoles”. Topics: Biology, Chemistry, Physical Sciences, Geology

Research interest

I am interested in understanding how plant adapt to biotic and abiotic constraints of their environment and I principaly focused on cultivated and wild tropical plants. During my PhD, I studied the dynamics of genetic diversity in a forest tree endemic to Reunion Island (Coffea mauritiana). I more precisely examine the patterns of genetic diversity of the species and identify the main drivers of population divergences. Using summary-statistics, I also uncovered the demographic history of the species, using two different methods of modelisation, and I identified the past ecological disturbances associated with population size variations. Finally, I also searched for leaf adaptive traits in C. mauritiana using a multi-approach analysis considering genomic, transcriptomic and phenotypic data. This year, I joined BASE team to strengthen my skills in biostatistics while working on the impact of environmental factors on plant morphology and phenology. The aim of my postdoctoral fellow is to : (i) identify the climatic factors impacting several phenotypes in maize inbred lines, and (ii) decipher genotype × environment interactions.In my work, I have firstcondensed row data from different meteorological stations in order to obtain the best estimation of the local climatic conditions prevailing in the field. I next summarized this information in several climatic factors considering several sliding windows. I next planed to used a split-and-conquer method to investigate genotype × environment interactions.

Publications