Spatial distribution of Praelongorthezia praelonga in citrus cultivation in areas of agroforestry and conventional systems in the eastern Amazon

Authors

DOI:

https://doi.org/10.33448/rsd-v9i12.11018

Keywords:

Geostatistics; Citrus sinensis; Spatial dependence; Kriging.

Abstract

The study of spatial distribution is important for the elaboration of plans to help in the monitoring, prevention and control of pests in areas of agricultural crops. The scientific objectives highlight the advantages of assessing the spatial distribution of pests, including the use of geostatistics as a fundamental aid for the analysis and development of the integrated management plan. For the Praelongorthezia praelonga scale insects , tests were conducted in two commercial citrus growing areas, one of 58,240 m2 of agroforestry and another of               49,280 m2 of conventional type, both located in Capitão Poço, PA. The collections were carried out from September 2008 to August 2009 in all plants in the areas, evaluating the occurrence of nymphs and / or live adults of P. praelonga. Monthly evaluations were carried out observing the presence or absence of the pest in both cultivation systems. The areas were georeferenced and spatial analysis was performed using semivariogram models and interpolation of kriging maps. The best fit model for the data was exponential, with ranges ranging from 3.8 to 5.8 m for the conventional system and 3.3 to 7.3 m for the agroforestry system. Kriging maps showed the spatial distribution of the pest in the studied areas, indicating strong aggregation in both systems with Spatial Dependence Index (IDE) with values ​​between 0 to 0.605 ranging from strong to moderate for all evaluations in two the cultivation areas.

Author Biographies

Paulo Roberto Silva Farias, Universidade Federal Rural da Amazônia

Full Doctor at the Federal Rural University of the Amazon with an area of expertise in Agricultural Entomology.

Arthur Vinícius Ferreira dos Santos, Universidade Federal Rural da Amazônia

Professor at the Federal Rural University of the Amazon with an area of expertise in agricultural entomology.

Wendy Vieira Medeiros, Universidade Federal Rural da Amazônia

Professor at the Federal Rural University of the Amazon with an area of expertise in agricultural entomology.

Anderson Gonçalves da Silva, Universidade Federal Rural da Amazônia

Doctor at the Federal Rural University of the Amazon with an area of expertise in agricultural entomology.

References

Agrianual (2019). Anuário da Agricultura Brasileira. São Paulo: Fnp Consultoria & Comercio, 472p.

Brandão, A. D. S., Farias, P. R. S., Dionísio, L. F. S., Tinôco; R. S., Silva, A. G., & Silva, T. A. F. (2017). Spatial and Temporal Distribution of Opsiphanes Invirae (Lepidoptera: Nymphalidae) in oil palm, Pará State, Brazil. Revista Brasileira de Ciências Agrárias. volume 12, n.4, p.464-469.

Cambardella, C. A., Moorman, T. B., Novak, J. M., Parkin, T. B.,,Karlen, D. L., Turco, R. F. & Konopka, A. E. (1994) Field-Scale variability of soil properties in central Iowa soils. Soil Science Society of America Journal, volume.58.

Carvalho, R.S, Sugador Mortal (2006) [Entrevista concedida a] Cultivar: Hortaliças e Frutas, ano VI, N° 35, 16-20.

Farias, P. R. S., Harada, A.Y., Filgueiras, C.C., Lima, B. G., Sales, T. M., Silva, A. G., & Souza, B. H. S. (2018) Mapping Azteca Barbifex Forel (Hymenoptera: Formicidae) Dispersal in Georeferenced Orange (Citrus Sinensis [L.] Osbeck) Orchard in the eastern Amazon, Brazil. Insectes Sociaux.

Góngora-Canul, C. C., Martínez-Sebastián, G., Aguilera-Cauich, E. A., Uc-Varguez, A., López-Puc, G., & Pérez-Hernández, O, (2018). Spatio-Temporal Dynamics of Mealybug (Hemiptera: Pseudococcidae) Populations in Plantations of Jatropha Curcas L. in Yucatan, Mexico. Industrial Crops and Products, volume 117, p.110-117., 2017.12.070.

Gravena, S. (2011) História do controle de pragas na citricultura brasileira, Citrus Research & Technology, v.32, n.2, p.85-92.

Guillermo, L. M., & Takumasa, K (2017). Insectos y Ácaros de los cítricos: Compendio Ilustrado de Especies Dañinas y Benéficas, con técnicas para el Manejo Integrado de Plagas. 2ª Ed. Colección Nuevo Conocimiento Agropecuario. Mosquera, Colombia.

IBGE. Indicadores Instituto Brasileiro de Geografia e Estatística: Produção Agrícola (2019). Recuperado de www.ibge.gov.br.

Kondo, T., Peronti, A. L., Kozar, F., & Szita, E. (2012). Los insectos escama asociados a los citricos, con enfasis en Praelongorthezia praelonga (Douglas) (Hemiptera: Coccoidea: Ortheziidae) in cítricos: Cultivo, poscosecha e industrialización. Colombia: Editorial Artes y Letras Sas, p.173-189.

Legendre, P., & L. Legendre (1998). Numerical ecology. Second English edition. Elsevier Science, Amsterdam, the Netherlands.

Oliveira Júnior, F., Farias, P. R. S., Silva, A. G., Rodrigues, K. C. V., & Araújo, F. C. B (2016). Distribuição espacial da Leprose dos citros na Amazônia oriental. Revista Ciência Agronômica, volume 47, n.1, p.56-68.

Parra, J. R. P., Oliveira, A. & S. Pinto (2003). Guia ilustrado de pragas e insetos benéficos dos citros. Piracicaba, FEALQ, 140p.

Prevideli, F. D, & Almeida, M. M. Y (2020). Mercado “in natura” do limão Tahiti. Interface tecnológica - volume 17 n. 1.

Silva, A. G., Farias, P. R. S., Boiça Júnior, A. L., Lima, B. G., Ponte, N. H. T., Pinho, R. C., & Barbosa, R. S (2015). Análise espacial da Mosca-Negra em sistema agroflorestal de citros. Comunicata scientiae, volume 6, n.3, p.350-358.

Vieira, S. R., Hatfield, J. L., Nielsen, D. R., & Biggar, J. W (1983). Geostatistical theory and application to variability of some agronomical properties. Hilgardia, volume.51, p.1-75.

Published

19/12/2020

How to Cite

GOUVÊA, D. D. S. .; FARIAS, P. R. S. .; SANTOS, A. V. F. dos .; MEDEIROS, W. V. .; SILVA, A. G. da . Spatial distribution of Praelongorthezia praelonga in citrus cultivation in areas of agroforestry and conventional systems in the eastern Amazon. Research, Society and Development, [S. l.], v. 9, n. 12, p. e20991211018, 2020. DOI: 10.33448/rsd-v9i12.11018. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/11018. Acesso em: 19 nov. 2024.

Issue

Section

Agrarian and Biological Sciences