Development and Stochastic Validation of a Parameterized Model of Maize Stalk Flexure and Buckling

Abstract Maize stalk lodging is the structural failure of prior to harvest and a major problem for maize (corn) producers plant breeders. To address this problem, it critical understand precisely how geometric material parameters influence strength. Computational models could be powerful tool in such investigations, but current methods creating computational are costly, time-consuming and, most importantly, do not provide parameterized control parameters. The purpose study was develop validate 3D model stalk. provides independent over all aspects geometry properties. accurately captures shape actual stalks predictive stiffness validated using stochastic sampling properties account uncertainty values mechanical tissue Results indicated that buckling influenced by greater extent flexural stiffness. Finally, we demonstrate can used create an unlimited number synthetic from within parameter space. This will enable future implementation sweep studies, sensitivity analysis optimization with any desired combination