Zobrazeno 1 - 10 of 11 pro vyhledávání: '"Sarah Ben-Sadoun"'
1
Improving the use of plant genetic resources to sustain breeding programs’ efficiency
Autor: Dimitri Sanchez, Sarah Ben Sadoun, Tristan Mary-Huard, Antoine Allier, Laurence Moreau, Alain Charcosset
Publikováno v: Proceedings of the National Academy of Sciences. 120
Genetic progress of crop plants is required to face human population growth and guarantee production stability in increasingly unstable environmental conditions. Breeding is accompanied by a loss in genetic diversity, which hinders sustainable geneti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad298a4516dafef865103d732cc69cba
https://doi.org/10.1073/pnas.2205780119
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2
Analyzing the Economic Effectiveness of Genomic Selection Relative to Conventional Breeding Approaches
Autor: Aline, Fugeray-Scarbel, Sarah, Ben-Sadoun, Sophie, Bouchet, Stéphane, Lemarié
Publikováno v: Methods in molecular biology (Clifton, N.J.). 2467
Comparing the economic efficiency of alternative strategies for breeding requires to compare the genetic gain obtained with breeding schemes that represent the same total investment. In this chapter, we present a generic method to assess this economi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::870c0c98752b0fde4cbb34166247579d
https://pubmed.ncbi.nlm.nih.gov/35451792
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3
Analyzing the Economic Effectiveness of Genomic Selection Relative to Conventional Breeding Approaches
Autor: Aline Fugeray-Scarbel, Sarah Ben-Sadoun, Sophie Bouchet, Stéphane Lemarié
Publikováno v: Methods in Molecular Biology ISBN: 9781071622049
Complex Trait Prediction
Nourollah 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⟩
International audience; Comparing the economic efficiency of alternative strategies for breeding requires to compare the genetic gain obtained with breeding schemes that represent the same total investment. In this chapter, we present a generic metho
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12b433512625e25e6f5744cf6ca341c4
https://doi.org/10.1007/978-1-0716-2205-6_22
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4
Integration of genomic selection into winter-type bread wheat breeding schemes: a simulation pipeline including economic constraints
Autor: Sophie Bouchet, Aline Fugeray-Scarbel, Jérôme Auzanneau, Stéphane Lemarié, Gilles Charmet, Sarah Ben-Sadoun
Publikováno v: Crop Breeding,Genetics and Genomics
Crop Breeding,Genetics and Genomics, Hapres, 2021, 3, ⟨10.20900/cbgg20210008⟩
Crop Breeding,Genetics and Genomics, 2021, 3, ⟨10.20900/cbgg20210008⟩
International audience; Relatively little effort has been made yet to optimize the allocation of resources when using genomic predictions to maximize the return to investment in terms of genetic gain per unit of time and cost.Methods: We built a simu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef834bb4834025ef15d70d81cf23082b
https://hal.inrae.fr/hal-03359314
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5
Restrictive irrigation improves yield and reduces risk for faba bean across the Middle East and North Africa: A modeling study
Autor: Michel Edmond Ghanem, Sarah Ben Sadoun, Fouad Maalouf, Fatimaezzhara Kibbou, Thomas R. Sinclair, Hélène Marrou, Moez Amri
Publikováno v: Agricultural Systems
Agricultural Systems, 2021, 189, ⟨10.1016/j.agsy.2021.103068⟩
Agricultural Systems, Elsevier Masson, 2021, 189, ⟨10.1016/j.agsy.2021.103068⟩
CONTEXT Faba bean is a crucial component of Mediterranean food systems. However, the crop is somewhat underrepresented in the major crop models and usage of these models requires substantial calibration with data that might not be available. The Simp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::332a67bffab5d95bbe2e9e45c3de653d
https://hal.inrae.fr/hal-03247938
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6
Optimisation du schéma de sélection chez le blé tendre : apport des prédictions génomiques et des caractères corrélés
Autor: Sarah Ben Sadoun
Publikováno v: Sciences agricoles. Université Clermont Auvergne [2017-2020], 2020. Français. ⟨NNT : 2020CLFAC014⟩
HAL
Breeding consists in creating new varieties which combine qualities for several traits of agronomic interest to answer to the market demand. The objective of the phD was to propose strategies using genomic predictions to optimize bread wheat breeding
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6a6ed3da7f622899a1e1ed4789567d0a
https://tel.archives-ouvertes.fr/tel-03364017
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7
Prédiction génomique de la valeur boulangère
Autor: Sarah Ben Sadoun, Sophie Bouchet, Gilles Charmet
Publikováno v: Phloème 2020 : biennales de l’innovation céréalière
Phloème 2020 : biennales de l’innovation céréalière, Arvalis-Institut du végétal, Jan 2020, Paris, France
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International audience
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9ee737f1147168845521b2233441ecb3
https://hal.inrae.fr/hal-03113799
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8
SNP markers for early identification of high molecular weight glutenin subunits (HMW-GSs) in bread wheat
Autor: Marion Ranoux, Florence Exbrayat, Cécile Dupuits, Pierre Sourdille, Charles Poncet, Gérard Branlard, Annie Faye, Mireille Dardevet, Catherine Ravel, Sarah Ben-Sadoun
Publikováno v: TAG Theoretical and Applied Genetics
TAG Theoretical and Applied Genetics, Springer Verlag, 2020, 133 (3), pp.751-770. ⟨10.1007/s00122-019-03505-y⟩
TAG Theoretical and Applied Genetics, 2020, 133 (3), pp.751-770. ⟨10.1007/s00122-019-03505-y⟩
International audience; Key message A set of eight SNP markers was developed to facilitate the early selection of HMW-GS alleles in breeding programmes. In bread wheat (Triticum aestivum), the high molecular weight glutenin subunits (HMW-GSs) are the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46c079df83d71a6b90b75742727db33b
https://hal.inrae.fr/hal-02528930/document
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10
Bread-making quality predictions: multi-trait assisted genomic selection in bread wheat
Autor: Sarah Ben Sadoun, Renaud Rincent, Jerome Auzanneau, Francois-Xavier Oury, Bernard Rolland, Emmanuel Heumez, Catherine Ravel, Gilles Charmet, Sophie Bouchet
Publikováno v: "Quantitative Genetics and Genomics" Gordon Research Conference
"Quantitative Genetics and Genomics" Gordon Research Conference, Feb 2019, Barga, Italy
"Quantitative Genetics and Genomics" Gordon Research Conference, Gordon Research Conference., Feb 2019, Barga, Italy
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Bread-making quality predictions: multi-trait assisted genomic selection in bread wheat. "Quantitative Genetics and Genomics" Gordon Research Conference
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4522444ebd46a35f874ee3473dbf7199
https://hal.archives-ouvertes.fr/hal-02289536
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