High-throughput phenotyping of canopy dynamics of wheat senescence using UAV multispectral imaging

Abstract

High-throughput phenotyping of senescence dynamic traits is crucial for plant breeding, yet quantifying these dynamics remains limited due to the challenges in multitemporal measurements and validations, hindering the understanding of the association between senescence dynamics and nitrogen fertilization and how it differs between genotypes. Here, we proposed a novel method for extracting senescence dynamic traits (SDTs), quantifying the senescence dynamics based on the uncrewed aerial vehicle (UAV) multispectral sensing and generalized additive model (GAM). We investigated the extent to which senescence dynamic traits distinguish between winter wheat varieties and nitrogen (N) rates. A field trial was conducted to test the variability in senescence dynamics across wheat varieties under three nitrogen treatments (0, 120, and 180 kg· N ha −1 ). In addition to the UAV-derived canopy reflectance, we measured leaf anthocyanin concentrations, SPAD, and yield traits and analyzed their relationships with the SDTs. Results revealed that leaves exhibited an earlier onset of senescence under low N levels. The GAM-derived area under the curve (AUC) variables based on chlorophyll and anthocyanin dynamics were both found to be highly correlated with yield traits. The proposed SDTs demonstrated potential for characterizing varietal senescence types, highlighting their utility for multitemporal senescence monitoring and high-throughput field phenotyping. This study opens new possibilities for further field phenotyping research testing the effect of plant varietal differences in senescence dynamics on their nitrogen uptake and use efficiency.

Plant phenotyping relevance

UAVマルチスペクトルセンシングとGAMを組み合わせ、コムギの老化動態形質を抽出・定量する手法の開発と圃場検証が中心である。

Code and data availability

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