Distribución Espacial de<i>Trips</i>spp. (Thysanoptera) y Evaluación de su Control Mediante el Depredador<i>Amblyseius swirskii</i>en el Cultivo de Aguacate en México

Acosta-Guadarrama, Agustín David; Ramírez-Dávila, José Francisco; Rivera-Martínez, Roberto; Figueroa-Figueroa, Dulce Karen; Lara-Diaz, Ana Veronica; Maldonado-Zamora, Fatima Irais; Tapia-Rodríguez, Atenas

doi:10.3958/059.042.0214

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…En todas las fechas de muestreo se encontró un nivel de dependencia espacial alto, tanto para fumagina como para escama verde (Cuadros 1 y 2), lo que indica la existencia de una relación espacial entre cada punto de muestreo, con efecto pepita igual a cero en todas las fechas de muestreo en las parcelas, concluyendo que el error de muestreo fue mínimo y la escala que se utilizó fue la adecuada (Acosta-Guadarrama et al, 2017).…”

Section: Resultados Y Discusiónunclassified

Distribución Espacial De La Escama Verde Y Fumagina en Cafetales De Amatepec, Estado De México

Figueroa-Figueroa,

Ramírez-Dávila,

Lara-Vázquez

et al. 2023

RevFitotecMex

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El presente documento muestra el uso de métodos geoestadísticos para obtener mapas de incidencia de escama verde [Coccus viridis (Green); Hompoptera: Coccidae], una de las principales plagas del café (Coffea arabica); este insecto, además de causar daño directo, produce el medio para el desarrollo del hongo Capnodium sp., causante de la fumagina. Se seleccionaron cuatro parcelas de café con variedades Typica y Caturra; se georreferenciaron plantas al azar con muestreos quincenales. El objetivo del presente estudio fue analizar la distribución espacial de la escama verde y fumagina en el cultivo del café. Se detectó la presencia de focos de infestación e infección de escama verde y fumagina dentro de las parcelas y la correlación entre el insecto y el hongo causante de la enfermedad. Se obtuvieron semivariogramas teóricos ajustados a modelos Gaussiano, esférico y exponencial, con una distribución de tipo agregado en varios centros. La estimación de la superficie infestada e infectada por escama verde y fumagina se obtuvo a través del krigeado ordinario, y fue posible visualizar los meses de abril y mayo como los de mayor incidencia para escama verde y abril para fumagina, lo que coincide con los meses más importantes para la floración del café en la zona de estudio. Se encontró mediante análisis de correlación lineal simple para promedios aritméticos y coeficiente de correlación de Pearson que a mayor presencia de escama verde existe mayor concentración de fumagina.

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Section: Resultados Y Discusiónunclassified

Distribución Espacial De La Escama Verde Y Fumagina en Cafetales De Amatepec, Estado De México

Figueroa-Figueroa,

Ramírez-Dávila,

Lara-Vázquez

et al. 2023

RevFitotecMex

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“…Knowing how the pest behaves spatially, targeted applications can be made on population niches, therefore, economical savings can be obtained. Another alternative is the usage of predators as reported by Ramírez et al (2018) who used Orius insidiousus obtaining a decrease in thrips populations, as well as, Acosta et al (2017) who used Amblyseius swirskii in the control of this plague.…”

Section: Resultsmentioning

confidence: 99%

Mapping of Spatial Behavior of Scirtothrips perseae (Insecta: Thysanoptera) in Avocado Orchards Using Geostatistical Techniques

Ramirez Davila,

Acosta Guadarrama,

Tapia Rodriguez

et al. 2023

jers

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Currently, the implementation of efficient programs of integrated pest management are of vital importance, especially due to the fact that avocados produced in the study area are sold abroad. This favors the adoption of new technologies to reduce the application of agrochemicals and perform integrated pest management more effectively. The objective of the research was to determine the spatial distribution of thrips in commercial avocado orchards. To conduct the mapping of the spatial distribution, geostatistics was used, since it allows to know the location and mobility patterns of the pest, the present study was carried out in the municipality of Donato Guerra in 2019, Donato Guerra is located in the central zone of Mexico, and it is among the main avocado producers of the state. The distribution of the pest insect was incorporated for all the samples, these samples were taken every fifteen days for a year, obtaining 24 samplings in total. A semivariogram was determined for each sampling date, these semivariograms were adjusted to spherical models in most of the cases, the level of spatial dependence was determined to be high in all dates. The infested area was calculated for all the samplings and maps of pest were made through the kriging technique.

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“…Variation in armyworm presence is likely due to temperature and crop phenology (Ni et al 2003). Acosta-Guadarrama et al (2017), in their research on spatial distribution of thrips and its control through the predator A. swirskii in avocado, pointed out that the spherical model was the best fit for the dataset, indicating that aggregations of insects occur in certain areas of the plot with respect to the other points. The models that best fitted the data-sets (spherical and gaussian), are indicative that O. punicae does not have an established spatial behavior, because climatic factors such as: temperature, humidity, exposure to sun, among others influence the spatial distribution of the mite; therefore the present study is of great interest because it details the patterns of movement and permanence at specific points where preventive management programs can be performed at the aggregations and thereby maintain low infestation levels with economic savings.…”

Section: Discussionmentioning

confidence: 99%

“…There have been numerous investigations in spatial distribution modelling of insects, diseases, and mites in avocado. In relation to insects, Acosta-Guadarrama et al (2017) carried out a study using geostatistical techniques to study spatial distribution of Thrips spp. (Thysanoptera) and assessment of its control by the predator Amblyseius swirskii Athias-Henriot (Acari: Phytoseiidae) in avocado crops.…”

mentioning

confidence: 99%

Spatial Modeling of Red Spider Mite Oligonychus punicae (Acari: Tetranychidae) in Avocado Crop

Lara-Vázquez,

Ramírez-Dávila,

Figueroa-Figueroa

et al. 2023

Florida Entomologist

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Distribución Espacial deTripsspp. (Thysanoptera) y Evaluación de su Control Mediante el DepredadorAmblyseius swirskiien el Cultivo de Aguacate en México

Cited by 10 publications

References 6 publications

Distribución Espacial De La Escama Verde Y Fumagina en Cafetales De Amatepec, Estado De México

Distribución Espacial De La Escama Verde Y Fumagina en Cafetales De Amatepec, Estado De México

Mapping of Spatial Behavior of Scirtothrips perseae (Insecta: Thysanoptera) in Avocado Orchards Using Geostatistical Techniques

Spatial Modeling of Red Spider Mite Oligonychus punicae (Acari: Tetranychidae) in Avocado Crop

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