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Anne-Céline Thuillet
Researcher at Institut de recherche pour le développement
Publications - 21
Citations - 2310
Anne-Céline Thuillet is an academic researcher from Institut de recherche pour le développement. The author has contributed to research in topics: Domestication & Gene. The author has an hindex of 17, co-authored 21 publications receiving 2040 citations. Previous affiliations of Anne-Céline Thuillet include University of Wisconsin-Madison & Institut national de la recherche agronomique.
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Journal ArticleDOI
Maize association population: a high-resolution platform for quantitative trait locus dissection.
Sherry Flint-Garcia,Anne-Céline Thuillet,Jianming Yu,Gaël Pressoir,Susan Romero,Sharon E. Mitchell,John Doebley,Stephen Kresovich,Major M. Goodman,Edward S. Buckler,Edward S. Buckler +10 more
TL;DR: In this paper, the authors describe the population structure of the 302 lines, and investigate the relationship between population structure and various measures of phenotypic and breeding value, finding that on average, their estimates of population structure account for 9.3% of phenotype variation, roughly equivalent to a major quantitative trait locus (QTL).
Journal ArticleDOI
Detecting selection along environmental gradients: analysis of eight methods and their effectiveness for outbreeding and selfing populations
Stéphane De Mita,Anne-Céline Thuillet,Nourollah Ahmadi,Stéphanie Manel,Joëlle Ronfort,Yves Vigouroux +5 more
TL;DR: In this paper, the authors provide guidelines for the use of popular or recently developed statistical methods to detect footprints of selection, and investigate the power and robustness of eight methods to identify loci potentially under selection.
Detecting selection along environmental gradients: analysis of eight methods and their effectiveness for outbreeding and selfing populations : [W633]
Stéphane De Mita,Anne-Céline Thuillet,Nourollah Ahmadi,Stéphanie Manel,Joëlle Ronfort,Yves Vigouroux +5 more
TL;DR: In this article, the authors provide guidelines for the use of popular or recently developed statistical methods to detect footprints of selection, and investigate the power and robustness of eight methods to identify loci potentially under selection.
Journal ArticleDOI
Direct Estimation of Mutation Rate for 10 Microsatellite Loci in Durum Wheat, Triticum turgidum (L.) Thell. ssp durum desf
Journal ArticleDOI
Estimation of Long Term Effective Population Sizes through the History of Durum Wheat using Microsatellite Data
TL;DR: It is demonstrated from simulations that the unbiased estimator of θ based on Nei's heterozygosity is the most appropriate for estimating Ne because of a small variance and a relative robustness to variations in the mutation model compared to other estimators.