Densidade amostral aplicada ao monitoramento georreferenciado de lagartas desfolhadoras na cultura da soja

13Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

Abstract

The knowledge of the spatial and temporal distribution of pest insects on soybean crop through the use of precision agriculture tools, have been appointed as an important strategy in the integrated pest management (IPM). In this sense, the objective of this research was to evaluate the influence of sample density in the monitoring of defoliating caterpillars in soybean crop. The experiment was conducted in the experimental area of 47.98ha, located in Júlio de Castilhos - RS city, in 2008/2009 season. The georeferenced monitoring was carried out following three regular grids, 50x50m, 71x71m and 100x100m and also following the traditional method of sampling. During the entire crop cycle, and for each grid, there were conducted five evaluations of caterpillar infestations, two on the vegetative stage and three in the reproductive, using a beat cloth. To analyze the spatial and temporal distribution of caterpillars in the area, the data were submitted to descriptive statistical analysis and geostatistics analysis, using semivariograms and kriging to the elaboration of thematic maps. The results obtained indicated that the evaluated sample grids allowed to characterize the spatial distribution of caterpillars and modeled the spatial variability of caterpillars in soybean crop. The sampling and the georeferenced monitoring and further development of georeferenced thematic maps constitute a potential alternative to aggregate to the IPM strategies.

Cite

CITATION STYLE

APA

Riffel, C. T., Garcia, M. S., Santi, A. L., Basso, C. J., Flora, L. P. D., Cherubin, M. R., & Eitelwein, M. T. (2012). Densidade amostral aplicada ao monitoramento georreferenciado de lagartas desfolhadoras na cultura da soja. Ciencia Rural, 42(12), 2112–2119. https://doi.org/10.1590/S0103-84782012005000116

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free