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.

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.

Water status evaluation of grapevine leaf by means of NIR spectroscopy for a better irrigation scheduling

R. Beghi
Primo
;
V. Giovenzana
Secondo
;
A. Tugnolo
;
L. Brancadoro
Penultimo
;
R. Guidetti
Ultimo
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.
No
English
feb-2018
Irrigation; water stress; NIR spectroscopy; wavelengths selection; leaf water potential; chemometrics
Settore AGR/09 - Meccanica Agraria
Poster
Intervento inviato
Comitato scientifico
Ricerca applicata
Pubblicazione scientifica
Optimizing Water Use in the Supply Chain of Fresh Produce
Berlin
2018
Convegno internazionale
R. Beghi, V. Giovenzana, A. Tugnolo, L. Brancadoro, R. Guidetti
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.
Prodotti della ricerca::14 - Intervento a convegno non pubblicato
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Conference Object
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/579548
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