Open AccessSemivariogram models for rice stem bug population densities estimated by ordinary kriging
Author(s) -
Maurício Paulo Batistella Pasini,
Eduardo Engel,
Alessandro Dal’Cól Lúcio,
Rafael Pivotto Bortolotto
Publication year - 2020
Publication title -
acta scientiarum. agronomy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.438
H-Index - 28
eISSN - 1807-8621
pISSN - 1679-9275
DOI - 10.4025/actasciagron.v43i1.48310
Subject(s) - kriging , variogram , statistics , quadrat , mathematics , population , sampling (signal processing) , interpolation (computer graphics) , biology , ecology , computer science , artificial intelligence , motion (physics) , demography , filter (signal processing) , shrub , sociology , computer vision
Tibraca limbativentris is considered one of the main species of insect pests in irrigated rice. This species can be found in plants in the vegetative and reproductive stages. This study aimed to select semivariogram models to estimate rice stem bug population densities by ordinary kriging. Two fields were used to survey the T. limbativentris population in Oryza sativa. A grid of 30 x 30 m was drawn, which generated 143 and 385 sample units for the first and second fields, respectively. Seven evaluations of two hundred plants per sampling unit were performed during cultivation. From the insect counts, the results were input into circular, spherical, pentaspherical, exponential, Gaussian, rational quadratic, cardinal sine, K-Bessel, J-Bessel, and stable semivariogram models via ordinary kriging interpolation and the best model was selected via cross-validation. Each assessment had a particular spatial structure and semivariogram model that best fit the experimental data.