Evidence map›Paper›PMID 33716544›Full record

ArticleBiodiversity data journal2021

Aquatic macroinvertebrates in Uruguayan rice agroecosystem.

Leticia Bao, Sebastián Martínez, Mónica Cadenazzi, Mónica Urrutia, Lucía Seijas, Enrique Castiglioni

Abstract read
In one paragraph

Article in Biodiversity data journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Leticia BaoCrop Protection Department, University of Republic, Montevideo, Uruguay, Montevideo, Uruguay Crop Protection Department, University of Republic, Montevideo, Uruguay Montevideo Uruguay.ORCID https://orcid.org/0000-0001-8494-5033
Sebastián MartínezInstituto Nacional de Investigación Agropecuaria (INIA), Programa Nacional de Investigación en Producción de Arroz, Laboratorio de Patología Vegetal, Estación Experimental INIA Treinta y Tres, Ruta 8 km 281, Treinta y Tres, C.P. 33000, Treinta y Tres, Uruguay Instituto Nacional de Investigación Agropecuaria (INIA), Programa Nacional de Investigación en Producción de Arroz, Laboratorio de Patología Vegetal, Estación Experimental INIA Treinta y Tres, Ruta 8 km 281, Treinta y Tres, C.P. 33000 Treinta y Tres Uruguay.
Mónica CadenazziDepartment of Statistical Biometrics and Computing, University of Republic, Paysandú, Uruguay Department of Statistical Biometrics and Computing, University of Republic Paysandú Uruguay.
Mónica UrrutiaUniversity of Republic, Montevideo, Uruguay University of Republic Montevideo Uruguay.
Lucía SeijasCrop Protection Department, University of Republic, Montevideo, Uruguay, Montevideo, Uruguay Crop Protection Department, University of Republic, Montevideo, Uruguay Montevideo Uruguay.
Enrique CastiglioniEastern Region University Centre, University of Republic, Rocha, Uruguay Eastern Region University Centre, University of Republic Rocha Uruguay.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work is a first approach to the knowledge of insects and other aquatic macroinvertebrates of rice agroecosystems from eastern Uruguay. The composition of the groups collected may represent an approximation to the knowledge of the quality of water sources associated with Uruguayan rice production. Sampling of aquatic macroinvertebrates was carried out during the grain-filling stage in crops without insecticide use, in three localities of Treinta y Tres Department. In each crop, macroinvertebrates were collected with a Surber-type network at the inlet and outlet of water to and from the paddy field and a neighbouring control area. Differences in morphospecies composition were found according to the location and source of water. Insecta was the most represented class in macroinvertebrate samplings (41.5%). Diptera (59.9%), Hemiptera (16.3%) and Ephemeroptera (14.0%) were the most abundant orders within insects. The Richness and Shannon Diversity Indices were higher than those recorded for similar studies in Costa Rica, Italy and Australia.

Indexed as

biodiversitybio-indicatorswater quality

Identifiers

PMID33716544
PMCPMC7952373

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.