
Sarah Ben Sadoun
Présentation
Fields of study
Quantitative genetics, plant breeding, prediction of complex traits, identification of diversity sources to be used in breeding programs and for genetic improvement of populations, Maize breeding methods
Positions and Education
- 2021-present: Associate professor at AgroParisTech, Department of Lifes Sciences and Health (SVS), Team Evolutionnary Genetics and Plant Breeding (GEAP), in the laboratory "Génétique Quantitative et Méthodologie de la Sélection", UMR INRAE-CNRS-Université Paris-Saclay-AgroParisTech Génétique Quantitative et Évolution-Le Moulon
- 2020-2021: Post-doc on genomic basis of common ash tree susceptibility to ash dieback disease, UMR BioForA, Orleans
- 2017-2020: PhD on the contribution of genomic prediction for the improvement of wheat breeding schemes, UMR GDEC, Clermont-Ferrand
- 2016: MSc in agricultural engineering and plant breeding, Montpellier Supagro
Publications
Publications
Predicting seed composition and agronomic traits in maize genetic resources using phenomic selection based on near-infrared spectraJoint PRO-GRACE/EMPHASIS policy symposium and workshop about plant genetic resources and phenotyping, Euroseeds, Jun 2024, Bruxelles, Belgium
Communication dans un congrès
hal-04807968
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Genome-wide association studies on DNA pools identifies promising maize landraces and genomic regions to develop next generation varietiesPlant Biology Europe 2023, Jul 2023, Marseille, France
Communication dans un congrès
hal-04225361
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Genomic selection and Genome-wide association studies on DNA pools identifies promising maize landraces and genomic regions to develop next generation varieties2ième Colloque INRAE Genomics, INRAE Genomics, Nov 2023, Bordeaux, France
Communication dans un congrès
hal-04808004
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Prédiction génomique de la valeur boulangèrePhloème 2020 : biennales de l’innovation céréalière, Arvalis - Institut du végétal, Jan 2020, Paris, France
Communication dans un congrès
hal-03113799
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Bread-making quality predictions: multi-trait assisted genomic selection in bread wheat"Quantitative Genetics and Genomics" Gordon Research Conference, Gordon Research Conference., Feb 2019, Barga, Italy
Communication dans un congrès
hal-02289536
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Bread-making quality predictions of multi-trait assisted genomic selection1. International Wheat Congress, International Wheat Congress; Wheat inititive, Jul 2019, Saskatoon, Canada
Communication dans un congrès
hal-02942672
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Heterosis in maize : intermated recombinant inbred lines and their immortalized F2 reveal QTLs with dominant effects but no overdominance59. Maize Genetics Conference, Mar 2017, Saint-Louis, United States
Communication dans un congrès
hal-01569899
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Genomic predictions and Genome-wide association studies on DNA pools to characterize traditional maize landraces and identify genomic regions associated with agronomic traits and environmental adaptation7. International Conference of Quantitative Genetics (ICQG7), Jul 2024, Vienna, Austria.
Poster de conférence
hal-04807728
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Genomic prediction and landscape genomics in a large maize landraces collection using high-throughput pool genotyping identifies promising sources of diversity for prebreedingPlant Biology Europe 2023, Jul 2023, Marseille (13), France
Poster de conférence
hal-04225415
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Analyzing the economic effectiveness of genomic selection relative to conventional breeding approachesNourollah Ahmadi; Jérôme Bartholomé. Complex Trait Prediction, 2467, Springer US, pp.619-644, 2022, Methods in Molecular Biology, 978-1-0716-2205-6. ⟨10.1007/978-1-0716-2205-6_22⟩
Chapitre d'ouvrage
hal-03652408
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Optimisation du schéma de sélection chez le blé tendre : apport des prédictions génomiques et des caractères corrélésSciences agricoles. Université Clermont Auvergne [2017-2020], 2020. Français. ⟨NNT : 2020CLFAC014⟩
Thèse
tel-03364017
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