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Predicting grapevine canopy nitrogen status using proximal sensors and near-infrared reflectance spectroscopy


Walker, HV and Jones, JE and Swarts, ND and Rodemann, T and Kerslake, F and Dambergs, RG, Predicting grapevine canopy nitrogen status using proximal sensors and near-infrared reflectance spectroscopy, Journal of Plant Nutrition and Soil Science, 184, (2) pp. 204-304. ISSN 1436-8730 (2021) [Refereed Article]

Copyright Statement

Copyright 2021 Wiley-VCH GmbH

DOI: doi:10.1002/jpln.202000320


Background: The current method employed by industry for tissue analysis to determine grapevine nitrogen (N) status is expensive and time intensive. Aims: This study explored the use of proximal sensors and Fourier transform near infrared spectroscopy (FT-NIRS) to predict vine (Vitis vinifera L.) canopy N status over two growing seasons in Southern Tasmania, Australia.

Methods: The GreenSeeker, Crop Circle ACS-430 and SPAD-502 proximal sensors were used to measure vine canopies (cv. Pinot Noir and Chardonnay) at three sampling dates (January, February, March) in the 2017/18 growing season, and two (December & February) in the 2018/19 growing season. For 12 replicates consisting of 5 vines each, a 30-leaf sample was taken for FT-NIRS and elemental analysis on dried, ground leaf samples. In addition, measurements with a portable FT-NIRS were taken on fresh leaf samples (2018/19). All measurements were correlated with leaf N concentration (%) determined via elemental analysis.

Results: The reliability of the proximal sensors to predict vine N content was dependent on the vine variety and sampling time. FT-NIRS demonstrated a strong ability to predict vine N concentration independent of season, sampling time and variety. The benchtop FT-NIRS showed the strongest predictability over both seasons (r2 = 0.94), yet the portable FT-NIRS also showed potential (r2 = 0.76).

Conclusion: Further investigation of portable FT-NIRS technology is necessary to provide a robust model for non-destructive vine N determination in the field.

Item Details

Item Type:Refereed Article
Keywords:viticulture, nutrient management, ag tech, nitrogen
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Horticultural production
Research Field:Oenology and viticulture
Objective Division:Plant Production and Plant Primary Products
Objective Group:Industrial crops
Objective Field:Wine grapes
UTAS Author:Walker, HV (Ms Harriet Walker)
UTAS Author:Jones, JE (Dr Joanna Jones)
UTAS Author:Swarts, ND (Dr Nigel Swarts)
UTAS Author:Rodemann, T (Dr Thomas Rodemann)
UTAS Author:Kerslake, F (Dr Fiona Kerslake)
UTAS Author:Dambergs, RG (Dr Robert Dambergs)
ID Code:143619
Year Published:2021
Deposited By:Agriculture and Food Systems
Deposited On:2021-03-26
Last Modified:2021-04-21

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