Evidence map›Paper›PMID 34357267›Full record

ArticleInsects2021

Vertical Trapping of the Coffee Berry Borer,

Claudia Patricia Ruiz-Diaz, José Carlos Verle Rodrigues

Abstract read
In one paragraph

Article in Insects, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Coffee Berry Borer,Insects · 2023
    Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Claudia Patricia Ruiz-DiazCenter for Excellence in Quarantine & Invasive Species, Agricultural Experimental Station-Río Piedras, Department of Agroenvironmental Sciences, University of Puerto Rico-Mayagüez, 1193 Calle Guayacán, San Juan, PR 00681, USA.
José Carlos Verle RodriguesCenter for Excellence in Quarantine & Invasive Species, Agricultural Experimental Station-Río Piedras, Department of Agroenvironmental Sciences, University of Puerto Rico-Mayagüez, 1193 Calle Guayacán, San Juan, PR 00681, USA.ORCID 0000-0002-2537-3167

Funding

U.S. Department of Agriculture 2040-22430-026-20S
6 · The paper itself

Abstract

The coffee industry loses millions of dollars annually worldwide due to the Coffee Berry Borer (CBB); these losses imply a decrease in quality and production. Traps are used to monitor their flight and for pest control. The main objective of this study was to determine the capture pattern and trap capture percentages of the CBB population over time using column traps (CTs) in two independent field experiments. CTs were composed of four traps installed at four different heights 0.5, 1.5, 2.5, and 3.5 m above ground. Our results demonstrated a significant difference in CBB capture by traps placed at different heights above the ground. The CT capture maintained a pattern throughout this study's lag: the lower the height, the greater the percentage of CBBs captured. The study was conducted in two independent experiments (A and B). In Experiment A and B, the traps placed at 0.5 m caught 67% and 85% of the CBBs captured, respectively. Furthermore, the trap set at 1.5 m above the ground in the multi-level CT showed a higher capture percentage than the single placed trap (ST, also at 1.5 m about ground). The pattern of the capture and proportion of the CBB in the CTs was maintained throughout the study despite the season, changes in temperature, and relative air humidity. We suggest that CTs could be explored as a useful tool for capturing the CBB, considering its monitoring and management.

Indexed as

baited trapsCoffee arabicaHypothenemus hampeiIPM

Identifiers

PMID34357267
PMCPMC8305300

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.