Non-invasive diagnosis of wheat stripe rust progression using hyperspectral reflectance.

ABSTRACT: Wheat stripe rust (WSR), a fungal disease capable of inflicting severe crop loss, threatens most of global wheat production. Breeding for genetic resistance is the primary defense against stripe rust infection. Further development of rust-resistant wheat varieties depends on the ability to accurately and rapidly quantify rust resilience. In this study we demonstrate the ability of visible through shortwave infrared reflectance spectroscopy to effectively provide high-throughput classification of wheat stripe rust severity and identify important spectral regions for classification accuracy. Random forest models were developed using both leaf-level and canopy-level hyperspectral reflectance observations collected across a breeding population that was scored for WSR severity using 10 and 5 se

SUBMITTER: Cross JF 

PROVIDER: S-EPMC11422131 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature