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Articles by Simon Rio
L'impôt plancher sur la fortune: une revendication de justice fiscale à l'épreuve du droit fiscal
Ayuda Buscar en la ayuda Buscar en la ayuda
The genomic footprints of wild Saccharum species trace domestication, diversification, and modern breeding of sugarcane
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By Olivier Garsmeur, Simon Rio, Anna Lipzen, Catherine Hervouet, Theo Durand, Chris Daum, Yuko Yoshinaga, Mike Butterfield, Alexander Sanchez, Alexánder Sánchez, Noa Kekuewa Lincoln, Anna L. Hale, Jean Yves Hoarau, Yoshifumi Terajima, Prakash Lakshmanan, Erik J. Sacks, Shailendra Kumar Sharma, Kerrie Barry, Jeremy Schmutz, Angélique D’Hont, Nicolas Pompidor, George Piperidis, Marotea Vitrac
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Cell Press
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European Strategic Autonomy: How Realism Best Explains Why It Remains a Failure
Dec 3 2024 • 0 Fabrizio Maffei/Shutterstock European Strategic Autonomy (hereafter referred to as ESA) has often been seen as a “buzzword”, encompassing several meanings and realities revolving around Europe’s security and foreign policy (Järvenpää et al., 2019).
European Strategic Autonomy: How Realism Best Explains Why It Remains a Failure - Simon Rio
European Strategic Autonomy (hereafter referred to as ESA) has often been seen as a “buzzword”, encompassing several meanings and realities revolving around Europe’s security and foreign policy (Järvenpää et al., 2019).
Revisiting superiority and stability metrics of cultivar performances using genomic data: derivations of new estimators
Article Dans Une Revue Plant Methods Année : 2024 Revisiting superiority and stability metrics of cultivar performances using genomic data: derivations of new estimators Mots clés Lin-Binns superiority measure Genotype-by-environment Genomic prediction Environmental variance Ecovalence Finlay-Wilkinson regression coefficient Lin-Binns superiority measure Genotype-by-environment Genomic prediction Environmental variance Ecovalence Finlay-Wilkinson regression coefficient Domaines Génomique,...
Detecting directional and non-directional epistasis in bi-parental populations using genomic data
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Accounting for Group-Specific Allele Effects and Admixture in Genomic Predictions: Theory and Experimental Evaluation in Maize
Abstract Populations structured into genetic groups may display group-specific linkage disequilibrium, mutations, and/or interactions between quantitative trait loci and the genetic background. These factors lead to heterogeneous marker effects affecting the efficiency of genomic prediction, especially for admixed individuals. Such individuals have a genome that is a mosaic of chromosome blocks from different origins, and may be of interest to combine favorable group-specific characteristics.
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