Using numerical plant models and phenotypic correlation space to design achievable ideotypes

HIGHLIGHTS

• who: Victor Picheny et al. from the , MIAT, Castanet-Tolosan, France have published the paper: Using numerical plant models and phenotypic correlation space to design achievable ideotypes, in the Journal: (JOURNAL)
• what: The authors propose multi-objective optimization formulation that includes metric of performance returned by the numerical model and metric of feasibility accounting for correlations between traits based field observations. This study thus provides successful proof of concept for this enhanced modeling approach which identified paths for desirable trait modification including direction and intensity. Depending on the objectives, these models focus on specific plant . . .
  

   

  

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