Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine

Autor: Charlotte Brault, Agnès Doligez, Le Cunff, Aude Coupel-Ledru, Thierry Simonneau, Julien Chiquet, Patrice This, Timothée Flutre

Publikováno v: G3: Genes, Genomes, Genetics, Vol 11, Iss 9 (2021)

AbstractViticulture has to cope with climate change and to decrease pesticide inputs, while maintaining yield and wine quality. Breeding is a key lever to meet this challenge, and genomic prediction a promising tool to accelerate breeding programs. M

Externí odkaz: https://doaj.org/article/3426fa2c1e11455e89aaa52e529fbfca

Unveiling inter-embryo variability in spindle length over time: Towards quantitative phenotype analysis.

Autor: Yann Le Cunff, Laurent Chesneau, Sylvain Pastezeur, Xavier Pinson, Nina Soler, Danielle Fairbrass, Benjamin Mercat, Ruddi Rodriguez-Garcia, Zahraa Alayan, Ahmed Abdouni, Gary de Neidhardt, Valentin Costes, Mélodie Anjubault, Hélène Bouvrais, Christophe Héligon, Jacques Pécréaux

Publikováno v: PLoS Computational Biology, Vol 20, Iss 9, p e1012330 (2024)

How can inter-individual variability be quantified? Measuring many features per experiment raises the question of choosing them to recapitulate high-dimensional data. Tackling this challenge on spindle elongation phenotypes, we showed that only three

Externí odkaz: https://doaj.org/article/0264ba883b01409fa95b39076d7bdf24

End-to-end multimodal 3D imaging and machine learning workflow for non-destructive phenotyping of grapevine trunk internal structure

Autor: Romain Fernandez, Loïc Le Cunff, Samuel Mérigeaud, Jean-Luc Verdeil, Julie Perry, Philippe Larignon, Anne-Sophie Spilmont, Philippe Chatelet, Maïda Cardoso, Christophe Goze-Bac, Cédric Moisy

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)

Abstract Quantifying healthy and degraded inner tissues in plants is of great interest in agronomy, for example, to assess plant health and quality and monitor physiological traits or diseases. However, detecting functional and degraded plant tissues

Externí odkaz: https://doaj.org/article/fc7fc4933a514b279e0a6354b592157d

Unveiling inter-embryo variability in spindle length over time: Towards quantitative phenotype analysis.

Autor: Le Cunff, Yann¹ (AUTHOR), Chesneau, Laurent¹ (AUTHOR), Pastezeur, Sylvain¹ (AUTHOR), Pinson, Xavier¹ (AUTHOR), Soler, Nina¹ (AUTHOR), Fairbrass, Danielle¹ (AUTHOR), Mercat, Benjamin¹ (AUTHOR), Rodriguez-Garcia, Ruddi¹ (AUTHOR), Alayan, Zahraa¹ (AUTHOR), Abdouni, Ahmed¹ (AUTHOR), de Neidhardt, Gary¹ (AUTHOR), Costes, Valentin¹ (AUTHOR), Anjubault, Mélodie¹ (AUTHOR), Bouvrais, Hélène¹ (AUTHOR), Héligon, Christophe¹ (AUTHOR), Pécréaux, Jacques¹ (AUTHOR) jacques.pecreaux@univ-rennes.fr

Publikováno v: PLoS Computational Biology. 9/5/2024, Vol. 20 Issue 9, p1-29. 29p.

Neurodiversity and cognitive load in online learning: A systematic review with narrative synthesis

Autor: Le Cunff, Anne-Laure, Giampietro, Vincent, Dommett, Eleanor

Publikováno v: In Educational Research Review May 2024 43