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Génétique Quantitative et Évolution - Le Moulon
Alain CHARCOSSET

Alain CHARCOSSET

Directeur de Recherche, INRAE

maize, maize and maize

  • Maize diversity,
  • Quantitative traits,
  • Breeding methods

alain.charcosset@inrae.fr

01 69 33 23 35

orcid.org/0000-0001-6125-503X

Publications

  • Génétique Quantitative et Évolution - Le Moulon
  • INRA - Université Paris-Sud - CNRS - AgroParisTech
  • Ferme du Moulon
  • F-91190 Gif-sur-Yvette

Education and Positions

  • Senior Researcher (DR1) Institut National de la Recherche Agronomique (INRA)
  • Deputy director of UMR Quantitative Genetics & Evolution - Le Moulon
  • Head of GQMS team (Quantitative Genetics and Selection Methods)
  • 1990: PhD thesis INA-PG
  • 1986: ingénieur Agronome and MS in Plant Breeding INA-PG (present AgroParisTech)

Research interests

My current research aims at

  • understanding how maize genetic European diversity is organized and shaped by past and ongoing selection programs, in order to facilitate the identification of original diversity sources to be used in genetics studies and breeding programs.
  • determining genetic effects involved in the variation of quantitative traits of agronomical interest. To do so, we develop(ed) QTL meta-analysis methods, association mapping panels, and original multiparental QTL mapping populations to rank multiple alleles and address non additive effects.
  • developing marker assisted breeding methods, based on the assembly of favorable alleles at detected QTLs or global genomic prediction, with a specific focus on population optimization.

These research involve dense genotyping of genetic resources or newly created materials and their phenotyping, conducted within our group and by collaborators. I am also involved in the development of informatics tools to facilitate data management / analysis.

Main ongoing / recent external collaborators

  • Brigitte Gouesnard (INRA, AGAP Montpellier) - François Tardieu and Claude Welcker (INRA LEPSE Montpellier) - Catherine Giauffret (INRA Mons), INRA EPGV Evry - J. Laborde, C. Palaffre and colleagues (INRA Saint-Martin de Hinx)
  • Fred van Eeuwijk (WUR, Netherlands) - Chris-Carolyn Schoen (TUM, Germany) - Albrecht Melchinger (Univ. Hohenheim, Germany) - Pedro Revilla (CSIS, Spain) - Jesus Moreno-Gonzalez (CIAM, Spain)
  • CIMMYT - Integrated Breeding Platform Consortium
  • Biogemma - Euralis - Syngenta - RAGT - Limagrain - KWS, Maïsadour - Caussade - Promaïs association.

Main ongoing / recent project responsibilities and community implication

  • Coordinator of Amaizing Project (ANR investment for the Future, 2011- )
  • Coordinator of CornFed Project (2009-2014, Germany, France, Spain), WP leader in UE DROPS project (2011-2015)
  • Coordinator of Promaïs projects related to maize diversity analysis and exploitation
  • Coordinator of INRA Maize Genetics and Breeding program (1994- )
  • Member of the scientific council of INRA “Plant Biology and Improvement” department (2011-2016)
  • Associate editor for Theoretical and Applied Genetics (2004 -) and Genetics (2010- )
  • President of Eucarpia Maize and Sorghum section (2015- ), organization of 2015 section conference
  • Vice-Chair of Maize Steering Committee (2016- )

Awards

  • Prix Jean Dufrenoy (main award of French Agricultural Academy, 2003),
  • Chevalier du Mérite Agricole (national distinction for contribution to French agriculture, 2013)

Publications

Allier A, 20 janvier 2020, Contributions to genetic diversity management in maize breeding programs using genomic selection
Mabire C, 2019-04-23 23/04/19, Contribution des variations structurales de type insertions/délétions à l'adaptation, la variation des caractères et les performances hybrides chez le maïs
Rio S, 2019-04-26 26/04/19, Contributions to genomic selection and association mapping in structured and admixed populations : application to maize
Rio S, Mary-Huard T, Moreau L, Charcosset A. (2019) Genomic selection efficiency and a priori estimation of accuracy in a structured dent maize panel. Theor Appl Genet, 1 (132) 81-96
Seye A, 2019-03-21 21/03/19, Prédiction assistée par marqueurs de la performance hybride dans un schéma de sélection réciproque : simulations et évaluation expérimentale pour le maïs ensilage
Laporte F, 2018-03-13 13/03/18, Développement de méthodes statistiques pour l’identification de gènes d’intérêt en présence d’apparentement et de dominance, application à la génétique du maïs
Giraud H, Bauland C, Falque M, Madur D, Combes V, Jamin P, Monteil C, Laborde J, Palaffre C, Gaillard A, Blanchard P, Charcosset A, Moreau L. (2017) Reciprocal Genetics: Identifying QTL for General and Specific Combining Abilities in Hybrids Between Multiparental Populations from Two Maize (Zea mays L.) Heterotic Groups. Genetics, 3 (207) 1167-1180
Giraud H, 2016-01-22 22/01/16, Genetic analysis of hybrid value for silage maize in multiparental designs : QTL detection and genomic selection
Moreau L, Charmet G, Charcosset A, Le Gouis J, Deretz S. (2016) Quelle place pour la selection génomique chez les espèces de grande culture ?. ,
Berthet E, Charcosset A, Lemarié S, Moreau L, Segrestin B, Debaeke P, Quilot-Turion B. (2014) Nouvelles questions pour la conception.. ,
Rincent R, 2014-11-04 11/04/14, Optimization of association genetics and genomic selection strategies for populations of different diversity levels. Application in maize (Zea mays L.)
Valente F, Gauthier F, Bardol N, Blanc G, Joets J, Charcosset A, Moreau L, Fleury D, Whitford R. (2014) OptiMAS: A Decision Support Tool to Conduct Marker-Assisted Selection Programs. , (1145) 97-116
Bardol N, 2013-08-03 08/03/13, Interest of dense genotyping for selection in multi-parental designs. Comparison of two marker-assisted selection approaches: Genomewide selection and QTL-LDLA based selection. Application in maize (Zea mays L.)
Khobragade A, 2012-03-23 23/03/12, Combining linkage analysis and association genetics to finely map loci involved in maize grain production and maturation -- Cartographie fine de locus impliqués dans la production et la maturation du grain chez le maïs par une approche conjointe de linkage et de génétique d’association
Charcosset A, Moreau L, Ricroch A, Dattée Y, Fellous M. (2011) Cartographie de QTL, génétique d’association et application en sélection. , 112-125
Moreau L, Charcosset A, Prioul JL, Thévenot C, Molnar T, Mike Burrel . (2011) Marker-assisted selection in maize. , 411-434