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Laurence Moreau

Researcher at Université Paris-Saclay

Publications -  69
Citations -  3245

Laurence Moreau is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Population & Quantitative trait locus. The author has an hindex of 27, co-authored 61 publications receiving 2841 citations. Previous affiliations of Laurence Moreau include Centre national de la recherche scientifique & Institut national de la recherche agronomique.

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Genetic architecture of flowering time in maize as inferred from quantitative trait loci meta-analysis and synteny conservation with the rice genome.

TL;DR: Results suggest that the combination of meta-analysis within a species of interest and synteny-based projections from a related model plant can be an efficient strategy for identifying new candidate genes for trait variation.
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Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

TL;DR: A QTL detection performed on six connected F2 populations of 150 F2:3 families each, derived from four maize inbreds and evaluated for three traits of agronomic interest detected many epistatic interactions, particularly for grain yield QTL (R2 increase of 9.6%).
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More on the efficiency of marker-assisted selection

TL;DR: The study of the efficiency of marker-assisted selection based on an index combining the phenotypic value and the molecular score of individuals shows that the higher efficiency of MAS on QTLs with large effects in early generations is balanced by a higher rate of fixation of unfavourable alleles at QTLS with small effects in later generations, explaining why MAS may become less efficient than phenotyping selection in the long term.
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Marker-assisted selection efficiency in populations of finite size.

TL;DR: The efficiency of marker-assisted selection based on an index incorporating both phenotypic and molecular information is evaluated with an analytical approach that takes into account the size of the experiment and may be a useful tool to optimize the experimental means for more complex genetic situations.