Water status evaluation of grapevine leaf by means of NIR spectroscopy for a better irrigation scheduling
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Data di Pubblicazione:
2018
Citazione:
Water status evaluation of grapevine leaf by means of NIR spectroscopy for a better irrigation scheduling / R. Beghi, V. Giovenzana, A. Tugnolo, L. Brancadoro, R. Guidetti. ((Intervento presentato al convegno Optimizing Water Use in the Supply Chain of Fresh Produce tenutosi a Berlin nel 2018.
Abstract:
Crops quality depends on controlled factors as the irrigation timing and/or the amount of water applied, and uncontrolled ones as the environmental conditions and/or the differential phenological sensitivity of fruit to cultural practices. This results in a need of rapid water status monitoring systems in order to better manage crop and irrigation scheduling for a high water use efficiency. Non-destructive methods are a potential solution, replacing the tedious conventional techniques which are time consuming and not easily to perform water status directly in field. The objective was to test the potential effectiveness of a NIR spectrophotometer for a rapid and non-destructive evaluation of the water status of grapevine leaves. Moreover, a variable selection was proposed to determine a set of candidate variables for the prediction of water potential (Ψ; MPa) related to leaf water status in a view of a simplified optical device. The statistics of the PLS models showed in validation R2 ranged from 0.77-0.85. Regarding the wavelengths selection, acceptable MLR models were obtained using fourteen effective variables (R2 ranged 0.63-0.69). The wavelengths selection could be useful for the design of a simplified handheld device in a view of a foreseeable application for real time leaves measurement capable to support small-scale growers in determining water status to optimize the irrigation scheduling.
Tipologia IRIS:
14 - Intervento a convegno non pubblicato
Keywords:
Irrigation; water stress; NIR spectroscopy; wavelengths selection; leaf water potential; chemometrics
Elenco autori:
R. Beghi, V. Giovenzana, A. Tugnolo, L. Brancadoro, R. Guidetti
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