JOURNAL ARTICLE

Sequential sampling plan for the adults of Conotrachelus psidii (Marshall, 1922) (Coleoptera: Curculionidae) in guava crop.

  • Published In: Journal of Applied Entomology, 2024, v. 148, n. 6. P. 658 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fernandes, Marcos Gino; Costa, Eduardo Neves; Valente, Fabrício Iglesias 3 of 3

Abstract

Understanding the spatial distribution and population fluctuations of insect pests facilitates the development of effective control strategies for a given crop. Conotrachelus psidii (Coleoptera: Curculionidae) is an important guava pest; however, no sampling plans are available for its management. Therefore, in this study, we aimed to (i) determine the spatial distribution pattern of C. psidii adults and (ii) develop a sequential sampling plan for pest control in guava crops. Evaluations began at 120 days after pruning and were performed weekly. To sample C. psidii adults, a white tarp was placed under the plants, covering the entire canopy. Plant branches were then shaken to dislodge the adult insects on the tarp, which were then identified and counted. Using the data obtained in each sampling, dispersion indices were determined and tests of adjustments to the theoretical Poisson and negative binomial frequency distributions were performed. The calculated dispersion indices revealed that the individuals in the studied populations exhibited aggregated dispersion. Notably, only four samples showed adjustment to the Poisson distribution, whereas 18 samples showed adjustment to the negative binomial distribution in the field, confirming the aggregated pattern of the population spatial arrangement. The sequential sampling plan developed for C. psidii revealed the maximum and minimum numbers of sample units expected for decision‐making as 45 and 15, respectively. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Applied Entomology. 2024/07, Vol. 148, Issue 6, p658
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2024
  • ISSN:0931-2048
  • DOI:10.1111/jen.13255
  • Accession Number:177798969
  • Copyright Statement:Copyright of Journal of Applied Entomology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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