Sarah Ben Sadoun
13
Documents
Presentation
Fields of study
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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
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\- 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
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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
Conference papers
hal-04225361v1
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Prédiction génomique de la valeur boulangèrePhloème 2020 : biennales de l’innovation céréalière, Arvalis - Institut du végétal, Jan 2020, Paris, France
Conference papers
hal-03113799v1
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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
Conference papers
hal-02289536v1
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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
Conference papers
hal-02942672v1
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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
Conference papers
hal-01569899v1
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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⟩
Book sections
hal-03652408v1
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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⟩
Theses
tel-03364017v1
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