Process-Based Simulation Models Are Essential Tools for Virtual Profiling and Design of Ideotypes: Example of Fruit and Root

Genomic Designing for Climate-Smart Tomato

“…In this context, the notion of ideotype has progressively developed to design plants able to perform in a given production context and finally to define breeding targets. To this end, process-based predictive models have proven their efficiency to unravel the mechanisms behind genetic variability of complex traits (Reymond et al, 2003;Tardieu, 2003, Yin et al, 2010Quilot et al, 2005;Struik et al 2005), to analyze Genotype x Environment x Management (GxExM) interactions (Génard et al 2007;Bertin et al 2010;Martre et al 2011), or to design new ideotypes adapted to specific environments (Kropff et al 1995;Quilot et al 2016;Martre et al 2015;Génard et al 2016).…”

Incorporating genome-wide association into eco-physiological simulation to identify markers for improving rice yields

“…Eco-physiological modelling has been widely used to resolve the complexity of grain yield under different environments (Soltani et al , 1999; Yin and Struik, 2010; Martre et al , 2011), by dissecting grain yield into its component traits or parameters. Most parameters in the model may be controlled genetically; therefore, eco-physiological models are believed to be able to quantify genotype–phenotype relationships for complex traits (Hammer et al , 2006; Bertin et al , 2010; Génard et al , 2016), using dynamic simulation on a daily or even shorter time-step basis. Unlike statistical approaches that require a large number of experiments (although on a single trait) to create a prediction model (Bustos-Korts et al , 2016), eco-physiological modelling can, in principle, rely on one or a few experiments for model parameterization because the prediction is made largely based on eco-physiological principles as captured by the models.…”

Coupled functional physiological phenotyping and simulation model to estimate dynamic water use efficiency and infer transpiration sensitivity traits

“…Since the diurnal patterns of Rad and VPD are inconsistent (Gosa et al ., 2019), the sensitivities of Tr to VPD and Rad would have a strong impact on the dynamic Tr profile. Simulation models, which combine many biological functional hypotheses in mathematical frameworks, describe the development of plant traits as a consequence of environmental and genetic interaction (Génard et al ., 2016). Several simulation models for Tr have been established (Katsoulas & Stanghellini, 2019).…”