Modeling of the spatial distribution of Bactericera cockerelli Sulc. (Hemiptera: Triozidae), in Solanum tuberosum L. (Solanales: Solanaceae)

Authors

  • José Francisco Ramírez Laboratorio de Investigaciones Entomológicas y Tecnologías en Agricultura de Precisión. Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México. Cerrillo piedras blancas s/n km 15 Carr. Toluca - Ixtlahuaca, entronque al cerrillo. (50200) Toluca, Estado de México.
  • Elvia Porcayo-Camargo El Colegio de la Frontera Sur Unidad San Cristóbal de las Casas, Chiapas, México.
  • Jesús Ricardo Sánchez Laboratorio de Investigaciones Entomológicas y Tecnologías en Agricultura de Precisión. Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México. Cerrillo piedras blancas s/n km 15 Carr. Toluca - Ixtlahuaca, entronque al cerrillo. (50200) Toluca, Estado de México.

Keywords:

geostatistics, kriging, spatiotemporal stability, paratrioza, zebra chip

Abstract

The production of Solanum tuberosum L., Lycopersicum esculentum Mill. and Physalis ixocarpa Brot. (Solanales: Solanaceae) is prone to economic loses because of the presence of Bactericera cockerelli Sulc., which is related to the Purple Top and “zebra chip” diseases, and is also considered a vector of Candidatus Liberibacter solanacearum. The alternatives of control have been inefficient because none of them have considered the spatial behavior of the insect inside the plot. Such behavior would allow focusing the control alternatives, making them more efficient. The purpose on this work was to model the spatial distribution of the eggs, nymphs and adults of B. cockerelli which were obtained in potato field by transects samplings, by using geostatistics tools. The results indicate that the spatial distribution of the populations of eggs, nymphs and adults of B. cockerelli type was aggregated in each sampling date. The cross validation of the semivariograms corroborates the aggregated distribution of eggs, nymphs and adults of B. cockerelli. The generated maps allow observing the aggregated structure of the insect population, letting identify both infested areas and not-infested areas. Spatiotemporal stability was found for the three stages of the insect.

Published

13-10-2022

Issue

Section

Scientific articles