Evidence map›Paper›PMID 32072353›Full record

ArticleExperimental & applied acarology2020

Mapping of the Steneotarsonemus spinki invasion risk in suitable areas for rice (Oryza sativa) cultivation using MaxEnt.

Marcelo Negrini, Elisangela Gomes Fidelis, Marcelo Coutinho Picanço, Rodrigo Soares Ramos

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Article in Experimental & applied acarology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

4 authors.

Marcelo NegriniRede Bionorte de Biodiversidade E Biotecnologia, Universidade Federal de Roraima, Av.Cap. Ebe Garcez, 2413, Campus Paricarana, Boa Vista, RR, CEP 69301-000, Brazil.
Elisangela Gomes FidelisEMBRAPA Roraima, Pesquisa, Rodovia BR-174 Km 8, Distrito Industrial, Boa Vista, RR, CEP 69301 970, Brazil.
Marcelo Coutinho PicançoDepartment of Entomology, Universidade Federal de Viçosa, Av. P. H. Rolfs, s/n, Viçosa, MG, 36570-900, Brazil.
Rodrigo Soares RamosDepartment of Entomology, Universidade Federal de Viçosa, Av. P. H. Rolfs, s/n, Viçosa, MG, 36570-900, Brazil. rodrigosragro@gmail.com.ORCID http://orcid.org/0000-0002-7659-834X

Funding

CSRD VA 1
6 · The paper itself

Abstract

Rice is one of the most important socioeconomic crops in the world. The tarsonemid mite Steneotarsonemus spinki is one of the most destructive pests for this crop and is restricted to some regions of Asia and America. The aim of this work was to map the risk of S. spinki invasion in rice-growing areas in the world. Presence data of Oryza sativa and S. spinki obtained from the literature and bioclimatic parameters from WorldClim were analyzed in the MaxEnt program to generate suitability indices and distribution maps for each species and for the two species together. High annual mean temperature associated with low temperature annual range were the most important environmental variables for the occurrence of O. sativa and S. spinki, and low rainfall favoring S. spinki. The model indicates that there are climatic conditions for the establishment of S. spinki in important rice-producing regions, such as western and central Africa, Oceania, Asia, and North, Central, and South America. Our results are useful for the efficient establishment of phytosanitary measures to prevent the dispersal of S. spinki to new rice-producing areas.

Indexed as

Animal DistributionAnimalsClimateCrops, AgriculturalMitesOryzaInvasive speciesPhytosanitary barriersQuarantine pestRice panicle miteRice plantation

Identifiers

PMID32072353

What OpenQuestion holds

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Registered trials

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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.