African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12480

Full Length Research Paper

Vegetation indices as indicators of damage by the sunn pest (Hemiptera: Scutelleridae) to field grown wheat

H. Genc1*, L. Genc 2, H. Turhan3, S. E. Smith4 and J. L. Nation5
1Department of Plant Protection, Agricultural Faculty, Canakkale Onsekiz Mart University, 17020 Canakkale, Turkey. 2Agricultural Data Processing and Remote Sensing Laboratory, Department of Agricultural Engineering, Agricultural Faculty, Canakkale Onsekiz Mart University, 17020 Canakkale, Turkey. 3Department of Field Crops, Agricultural Faculty, Canakkale Onsekiz Mart University, 17020 Canakkale, Turkey. 4Department of Geomatics, School of Forest Resources and Conservation, University of Florida, Gainesville, Florida USA 32611. 5Department of Entomology and Nematology, University of Florida, Gainesville, Florida USA 32611.
Email: [email protected]

  •  Accepted: 04 January 2008
  •  Published: 18 January 2008

Abstract

The sunn pest, Eurygaster integriceps Put. (Hemiptera: Scutelleridae), also known as sting or cereal pest, is one of the most economically important pests of wheat in the world. In this study, a collapsible nylon cloth cage experiments were conducted to determine the feasibility of using remote sensing techniques to detect stress in wheat caused by the density of sunn pests. The results show we can detect the amount of stress in wheat caused by different life stages of sunn pest with a hand-held radiometer. Normalized difference vegetation index (NDVI) based indices; NDVIsg, NDVId, NDVIr, and structure insensitive pigment index (SIPI) were chosen out of 19 indices initially tested. The NDVI based vegetation indices derived from hyperspectral data, recorded by a hand held spectroradiometer, were used to determine the predicted indices using the initial number of Sunn Pest (NOSP). Overall, r2 values of all predicted indices calculated for 3rd instars were lower than those of 4th and adult stage. When r2 was considered separately, predicted NDVIr index value (87.4) was the highest and predicted SIPI index value is lowest (80.7) in 3rd instars. The highest r2 value was obtained in adult stage of sunn pest is NDVIsg (96.9) compare with NDVId (95.5), NDVIr (92.4) and SIPI (94.2). It was also concluded that remote sensing could detect not only the different stages pest damage on wheat, but also the number of sunn pest stages density affect in controlled experiments.

 

Key words: Remote sensing, Eurygaster integriceps, insect damage, NDVI, spectroradiometre.

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This article is published under the terms of the Creative Commons Attribution License 4.0

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