2018
DOI: 10.1093/jee/toy110
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Abstract: Spatiotemporal dynamics studies of crop pests enable the determination of the colonization pattern and dispersion of these insects in the landscape. Geostatistics is an efficient tool for these studies: to determine the spatial distribution pattern of the pest in the crops and to make maps that represent this situation. Analysis of these maps across the development of plants can be used as a tool in precision agriculture programs. Watermelon, Citrullus lanatus (Thunb.) Matsum. and Nakai (Cucurbitales: Cucurbit… Show more

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Cited by 20 publications
(18 citation statements)
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“…Higher densities of B. tabaci , often higher than the economic threshold, were generally observed at the edges of the fields. This edge effect has also been previously described for B. tabaci in watermelon 39 and for other insect species 8,36,40 . The establishment of insect populations at the edges is generally associated with insect migration from host plants located close to the field 40 .…”
Section: Discussionsupporting
confidence: 70%
See 1 more Smart Citation
“…Higher densities of B. tabaci , often higher than the economic threshold, were generally observed at the edges of the fields. This edge effect has also been previously described for B. tabaci in watermelon 39 and for other insect species 8,36,40 . The establishment of insect populations at the edges is generally associated with insect migration from host plants located close to the field 40 .…”
Section: Discussionsupporting
confidence: 70%
“…spherical, exponential, Gaussian) show that B. tabaci had, in general, an aggregated spatial distribution in the studied fields 4 . This observation was expected because an aggregated distribution pattern is commonly seen in insects 3,4,8,9,14,35,38 and it has also been described for B. tabaci in watermelon fields 39 . Nevertheless, the ranges (i.e.…”
Section: Discussionsupporting
confidence: 51%
“…The nugget-to-sill ratio (C 0 /C 0 + C) and nugget were used to determine the degree of aggregation [40], where ratios <0.25, 0.25-0.75, and >0.75 indicated strong, moderate, and weak aggregation, respectively [11,[41][42][43]. After selection of the variograms, interpolated pest distribution maps of billbug infestations were generated to visually demonstrate the infestation hot spots in the fields using the kriging interpolation technique [11,[44][45][46].…”
Section: Variogram Analysismentioning
confidence: 99%
“…[20][21][22] Omnidirectional models, having the highest regression coefficients and lowest residual sum of squares together with the linear regression models parameters, were used for cross-validation of the selected models, that is, those having: (1) determination coefficients (R 2 ) close to one; (2) intercepts (⊎0) close to zero; and (3) slopes (⊎1) close to one. 16,21,23,24 After adjusting the models, the parameters nugget effect (C0), sill (C0 + C), and range (R, in m) were obtained and used to calculate the spatial dependence (SD) as the nugget (C0) to sill (C0 + C) ratios:…”
Section: Data Analysesmentioning
confidence: 99%
“…Maps allowed to keep track of boll weevil infestation across seasons. 20,23,24 The program Gs+ version 7 was used for all of the spatial analyses as recommended by Vieira et al 20,27 3 RESULTS…”
Section: Data Analysesmentioning
confidence: 99%