Development of Vegetation Indices for Identifying Insect Infestations in Soybean

• Published in: Agronomy journal 2007-05, Vol.99 (3), p.650-656
• Main Authors: Board, James E., Maka, Vijay, Price, Randy, Knight, Dina, Baur, Matthew E.
• Format: Article
• Language: English
• Subjects: Agronomy. Soil science and plant productions; Biological and medical sciences; Fundamental and applied biological sciences. Psychology; Glycine max; Soybeans
• ISSN: 0002-1962; 1435-0645
• DOI: 10.2134/agronj2006.0155

Because of greater efficiency relative to conventional methods, interest has developed for using vegetation indices in soybean [Glycine max (L.) Merr.] for identifying areas in a field experiencing injury by defoliating insects. Vegetation indices can indicate leaf area index (LAI) and light interception levels, canopy parameters affected by defoliating insects. Our objectives were to determine the relative accuracy of three vegetation indices for predicting LAI and light interception, and to outline a method for using vegetation indices for identifying areas in a field experiencing insect injury. Several commercial soybean cultivars were planted on a Commerce silt loam soil (fine‐silty, mixed, nonacid, thermic Aeric Fluvaquent) near Baton Rouge, LA (USA) (30° N lat) in May 2004 and June 2005. In 2004, differences in LAI and light interception were created by manual defoliation, whereas in 2005, LAI/light interception differences occurred because of cultivars and planting dates. Results indicated that across canopies ranging from very low LAI to canopy closure (95% light interception), the normalized difference vegetation index (NDVI) most accurately predicted LAI and light interception (r2 = 0.93–0.97). Light interception and LAI were linked to NDVI by strong linear regression models, and did not show the quadratic response reported by others. A proposed method for adopting NDVI to identify insect‐infested areas is presented.