Evidence map›Paper›PMID 31133650›Full record

ArticleScientific reports2019

Multivariate analysis reveals significant diuron-related changes in the soil composition of different Brazilian regions.

Paulo Sérgio Fernandes das Chagas, Matheus de Freitas Souza, Jeferson Luiz Dallabona Dombroski, Rubem Silvério de Oliveira Junior, Glauber Henrique de Sousa Nunes, Gustavo Antônio Mendes Pereira, Tatiane Severo Silva, Ana Beatriz Rocha de Jesus Passos, José Barbosa Dos Santos, Daniel Valadão Silva

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

10 authors.

Paulo Sérgio Fernandes das ChagasUniversidade Federal Rural do Semi-Árido, Mossoró, Rio Grande do Norte, Brazil.
Matheus de Freitas SouzaUniversidade Federal Rural do Semi-Árido, Mossoró, Rio Grande do Norte, Brazil.
Jeferson Luiz Dallabona DombroskiUniversidade Federal Rural do Semi-Árido, Mossoró, Rio Grande do Norte, Brazil.
Rubem Silvério de Oliveira JuniorUniversidade Estadual de Maringá, Maringá, Paraná, Brazil.
Glauber Henrique de Sousa NunesUniversidade Federal Rural do Semi-Árido, Mossoró, Rio Grande do Norte, Brazil.
Gustavo Antônio Mendes PereiraUniversidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Tatiane Severo SilvaUniversidade Federal Rural do Semi-Árido, Mossoró, Rio Grande do Norte, Brazil. tatiane.severosilva@gmail.com.
Ana Beatriz Rocha de Jesus PassosUniversidade Federal Rural do Semi-Árido, Mossoró, Rio Grande do Norte, Brazil.
José Barbosa Dos SantosUniversidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Minas Gerais, Brazil.
Daniel Valadão SilvaUniversidade Federal Rural do Semi-Árido, Mossoró, Rio Grande do Norte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sorption and desorption determine the amount of an herbicide in soil solution. Therefore, knowledge of the sorption and desorption coefficients in different soils is an essential factor to estimate the potential for environmental contamination by herbicides. We evaluated the feasibility of multivariate and linear discriminant analyses to predict the sorption and desorption capacity of a soil for diuron, one of the most used herbicides on sugarcane plantations. The adsorptive capacity in twenty-seven Brazilian soil samples was estimated using the sorption constant (Kfs) and desorption constant (Kfd) obtained by the Freundlich isotherms. The regression model was created from the sorbed and nonsorbed concentrations of diuron in soils. Ultra-performance liquid chromatography was applied to quantify the diuron concentrations. The multivariate analysis separated the soils into four groups considering the similarity of the following attributes: pH, organic matter, clay, and base saturation. The groups showed a similar pattern of sorption and desorption for diuron: Lom-Lclay: low sorption (5.9 ± 1.2) and high desorption (10.9 ± 0.6); Lclay: low sorption (7.5 ± 1.1) and high desorption (11.4 ± 1.3); Hom-Hclay: high sorption (11.2 ± 1.2) and low desorption (13.8 ± 1.2); HpH-Hclay: high sorption (10.1 ± 1.1) and medium desorption (11.5 ± 1.4). Linear discriminant analysis of these soil attributes was used to classify other soils described in the literature with adsorption capacity. This analysis was able to identify soils with high and low sorption using the pH, organic matter, clay, and base saturation, demonstrating the enormous potential of the technique to group soils with different contamination risks for subterranean waters. Sugarcane crops in northeastern Brazil showed a higher pollution risk through the leaching of diuron. Multivariate analysis revealed significant diuron-related changes in the soil composition of different Brazilian regions; therefore, this statistical analysis can be used to improve understanding of herbicide behavior in soils.

Identifiers

PMID31133650
PMCPMC6536495

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