team RECORD

Publications

Casadebaig, Pierre et al. (2022). Optimized cultivar deployment improves the efficiency and stability of sunflower crop production at national scale. Theoretical and Applied Genetics,.doi: 10.1007/s00122-022-04072-5.

Ravier, Clémence et al. (2021). Decision rules for managing n fertilization based on model simulations and viability assessment. European Journal of Agronomy, 125, 126247.doi: 10.1016/j.eja.2021.126247.

Graux, A.-I. et al. (2020). High-resolution assessment of French grassland dry matter and nitrogen yields. European Journal of Agronomy, 112, 125952.doi: 10.1016/j.eja.2019.125952.

Trépos, Ronan et al. (2020). Forecasting sunflower grain yield by assimilating leaf area index into a crop model. Remote Sensing, 12(22).doi: 10.3390/rs12223816.

Constantin, Julie et al. (2019). Management and spatial resolution effects on yield and water balance at regional scale in crop models. Agricultural and Forest Meteorology, 275, 184–195.doi: 10.1016/j.agrformet.2019.05.013.

Robert, Marion et al. (2018). A dynamic model for water management at the farm level integrating strategic, tactical and operational decisions. Environmental Modelling & Software, 100, 123–135.doi: 10.1016/j.envsoft.2017.11.013.

Beillouin, Damien et al. (2018). Azodyn-barley, a winter-barley crop model for predicting and ranking genotypic yield, grain protein and grain size in contrasting pedoclimatic conditions. Agricultural and Forest Meteorology, 262, 237–248.doi: 10.1016/j.agrformet.2018.06.002.

Picheny, Victor et al. (2017). Optimization of black-box models with uncertain climatic inputs. Application to sunflower ideotype design.. PLoS ONE, 12(5).doi: 10.1371/journal.pone.0176815.

Picheny, Victor et al. (2017). Using numerical plant models and phenotypic correlation space to design achievable ideotypes. Plant, Cell and Environment, 40(9), 1926 – 1939.doi: 10.1111/pce.13001.

Posted at — May 12, 2022