Winter Durum Wheat Disease Severity Detection with Field Spectroscopy in Phenotyping Experiment at Leaf and Canopy Level

Abstract

Accurate disease severity assessment is critical for plant breeders, as it directly impacts crop yield. While hyperspectral remote sensing has shown promise for disease severity assessment in breeding experiments, most studies have focused on either leaf or canopy levels, neglecting the valuable insights gained from a combined approach. Moreover, many studies have centered on experiments involving a single disease and a few genotypes. However, this approach needs to accurately represent the challenges encountered in field conditions, where multiple diseases could occur simultaneously. To address these gaps, our current study analyses a combination of diseases, yellow rust, brown rust, and yellow leaf spots, collectively evaluated as the percentage of the diseased leaf area relative to the total leaf area (DA) at both leaf and canopy levels, using hyperspectral data from an ASD field spectrometer. We quantitatively estimate overall disease severity across fifty-two winter durum wheat genotypes categorized into early (medium milk) and late (late milk) groups based on the phenophase. Chlorophyll content (CC) within each group is studied concerning infection response, and a correlation analysis is conducted for each group with nine vegetation indices (VI) known for their sensitivity to rust and leaf spot infection in wheat. Subsequent parametric (linear and polynomial) and nonparametric (partial least squares and kernel ridge) regression analyses were performed using all available spectral bands. We found a significant reduction in Leaf CC (>30%) in the late group and Canopy CC (

Plant phenotyping relevance

葉およびキャノピーの病害面積率・病害重症度をフィールドハイパースペクトルデータから推定する方法が研究の中心であり、複数疾患・多数遺伝子型を対象に回帰分析も実施しているため、植物フェノタイピング手法の実質的応用に該当する。

Code and data availability

The supplied blocks describe a hyperspectral leaf/canopy phenotyping study of durum wheat disease severity, but contain no public phenotype dataset, spectral data deposit, author analysis code, or trained model release. The only URLs are instrument/product pages (CCM-300, ASD FieldSpec, Spectralon) and a generic CRAN R

No evidence-backed public reproduction asset is currently recorded.