Solution Center for Nutrient Management
Solution Center for Nutrient Management
Solution Center for Nutrient Management
University of California
Solution Center for Nutrient Management

Nutrient Management Research Database

General Information

Research Title

Remote Sensing of Grape K Deficiency Symptoms Using Leaf Level Hyperspectral Reflectance

Research Specifications

Crop: Wine Grapes
Soil Type:
County, State: Napa, California
Year: 2007

Authors

Smart, D.R., Whiting, M.L., & Stockert, C.

Summary/Abstract from Original Source

Potassium (K) is an important nutrient for grape because it sustains charge neutrality during organic acid transport, is a major ion involved in osmoregulation and stomatal function, and contributes to pH status in grapes and wines. We assessed the utility of a number of vegetation indexes for detection of K deficiency symptoms in a commercial vineyard of Vitis vinifera cv Pinot Noir. A hyperspectral field spectroradiometer for the 350-2500 nm spectral region was used to measure light reflectance at the leaf level. This data allowed us to screen a broad range of spectral indexes to detect absorption features affected by potassium deficiency symptoms. We found there were few indexes directly influenced by K deficiency symptoms. Absorption features in the visible region, centered at approximately 495 nm and within the chlorophyll b absorption feature at 625 nm were sensitive, and particularly after transformation to derivative spectra. Concentrations of K in leaves with visible symptoms ranging from 0% to more than 60% color change on leaf surfaces were not statistically significantly different (P = 0.05). These results suggest that observed symptoms might have been the result of heat stress and resulting. Our results indicate that non-invasive monitoring using hyperspectral reflectance may be used for spatially constraining K deficiency for use in site-specific K applications with future investigations.

Research Highlights

Design and Methods

  • This study assessed the ability of leaf hyperspectral reflectance to detect potassium deficiency in grape vines in Napa Valley.
  • In July of 2006, 40 leaf samples were taken from 25 vines; 13 stressed, 12 unstressed.
  • Leaves were sorted by visual symptoms of deficiencies, (0, 5-10, 10-20, 20-30, 30-50, 50-60, and 60 or above percent of color change).
  • Extractable potassium concentration was then determined, and a spectral reflectance measurements were taken with a spectrometer.

Results

  • Differences in potassium concentrations in leaves were not statistically significant.
  • There were no significant distinctions between leaf spectral indexes that correlated with deficiency symptom levels.
  • Few spectral indexes were directly influenced by K deficiency symptoms.

Additional Information

Tags (links to other subject matter in database)

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