output
20202024
most citedImproving Genomic Prediction using High-dimensional Secondary Phenotypes: the Genetic Latent Factor Approach

2 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

stat.ME2024★ 2 cited

Improving Genomic Prediction using High-dimensional Secondary Phenotypes: the Genetic Latent Factor Approach

Killian A. C. Melsen, Jonathan F. Kunst, José Crossa +4

Decreasing costs and new technologies have led to an increase in the amount of data available to plant breeding programs. High-throughput phenotyping (HTP) platforms routinely gene…

cs.AI2022

Towards an efficient and risk aware strategy for guiding farmers in identifying best crop management

Romain Gautron, Dorian Baudry, Myriam Adam +2

Identification of best performing fertilizer practices among a set of contrasting practices with field trials is challenging as crop losses are costly for farmers. To identify best…

nlin.PS2020

Stopping a reaction-diffusion front

Jean-Guy Caputo, Gustavo Cruz-Pacheco, Benoit Sarels

We revisit the problem of pinning a reaction-diffusion front by a defect, in particular by a reaction-free region. Using collective variables for the front and numerical simulation…