Using Leaf Hyperspectral Data to Early Detect Flavescence Dorée Before the Onset of Symptoms in a Heavily Affected Vineyard of Tuscany (Central Italy).

Abstract

Advanced methods are necessary to improve the detection of flavescence dorée (FD), one of the most relevant grapevine ( Vitis vinifera ) diseases in Europe, caused by flavescence dorée phytoplasma (FDp). Detection is commonly carried out visually by agronomists/winegrowers, and is time-consuming and error-prone. The present study demonstrated that full-range hyperspectral data (i.e., 400 to 2,400 nm) collected at leaf level can be used as a tool to rapidly and nondestructively detect FD infection directly in the field. Focusing on a Sangiovese (red grape) vineyard of Tuscany (Central Italy), heavily affected by FD (incidence higher than 75%), we showed that the proposed hyperspectral approach is capable of (i) detecting FDp infection, even before the occurrence of leaf symptoms (accuracy >70%); (ii) discriminating FD-induced leaf symptoms, even between asymptomatic and lightly symptomatic leaves (accuracy 80%); and (iii) elucidating the complex physiological responses of grapevines to FDp infection, with changes in leaf parameters estimated from spectra suggesting that the disease not only impaired early-season photosynthetic efficiency but also accelerated leaf senescence, potentially impacting grapevine productivity and grape quality. Although the hyperspectral approach proposed here is not intended to replace traditional diagnostic methods (molecular analyses), it could serve as a valuable tool to support the monitoring of plants affected by FD and may represent a crucial advancement in FD management. Further and broader studies including vineyards less challenged by FD and with other grape varieties (e.g., white ones, showing leaf yellowing instead of reddening) are encouraged.

Plant phenotyping relevance

葉のハイパースペクトル計測により、ブドウの病徴・感染状態・生理状態を推定する手法が研究の中心であり、植物病害フェノタイピングに該当する。

Code and data availability

公開本文の所在を確認できませんでした。非公開または購読が必要な可能性があります。

No evidence-backed public reproduction asset is currently recorded.