Incorporating a dynamic gene-based module process module into a crop simulation model

Abstract

Crop simulation models uses parameters referred as genotype-specific parameters (GSPs) to represent plant characteristics (phenotype) under specific environments. GSPs do not refer to “true” genetic information based on a gene level and are estimated from data observed in the field and require experiments to measure phenotypic response when new cultivars are released. Gene-based models offer the potential to quantify and identify the phenotype from the plant's genetic composition (genotype). This work proposes an approach for incorporates a dynamic gene-based module for simulating time-to-flowering for common bean (Phaseolus vulgaris L.). This new approach aims to work in a hybrid mode for simulating using quantitative trait loci (QTLs) or GSPs for genetic (G), environment (E), and G × E interactions, and demonstrate potential applications using sensitivity analysis and for simulating yield.