Phytoremediation of Cu‐contaminated vineyard soils in Brazil: A compendium of Brazilian pot studies

Author:

Marques Anderson Cesar Ramos1ORCID,Tiecher Tadeu Luis2,Brunetto Gustavo3,Vendruscolo Diogo4,De Conti Lessandro5,Ambrosini Vitor Gabriel6ORCID,Miotto Alcione7,Rosa Daniel José8,da Silva Isley Cristiellem Bicalho3,Trentin Edicarla3,Ferreira Paulo Ademar Avelar3,Jacques Rodrigo Josemar Seminoti3,Pescador Rosete9,Comin Jucinei José9,Ceretta Carlos Alberto3,de Melo George Wellington Bastos10,Parent Léon‐Étienne11

Affiliation:

1. Department of Biology Federal University of Santa Maria Santa Maria Brazil

2. Federal Institute of Education Science and Technology of Rio Grande do Sul (IFRS) Porto Alegre Brazil

3. Department of Soil Federal University of Santa Maria Santa Maria Brazil

4. Riograndense Association of Technical Assistance and Rural Extension Enterprises (EMATER / RS) Pinhal Grande Brazil

5. Farroupilha Federal Institute of Education, Science and Technology Santo Augusto Brazil

6. Department of Soils Federal University of Rio Grande do Sul Porto Alegre Brazil

7. Federal Institute of Education, Science and Technology of Santa Catarina São Miguel do Oeste Brazil

8. Department of Biology University of British Columbia Kelowna British Columbia Canada

9. Department of Phytotechnics Federal University of Santa Catarina Florianópolis Brazil

10. Embrapa Grape and Wine Bento Gonçalves Brazil

11. Department of Soils and Agrifood Engineering Université Laval Québec Quebec Canada

Abstract

AbstractVineyard soils can be contaminated by copper (Cu) due to successive applications of fungicides and organic fertilizers. Soil remediation can be addressed by altering soil properties or selecting efficient Cu‐extracting cover crops tolerant to Cu toxicity. Our objectives were to synthesize the Cu‐extracting efficiency by plant species tested in Brazil, classify them according to Cu resistance to toxicity, and assess the effect of soil properties on attenuating Cu toxicity. We retrieved results from 41 species and cultivars, totaling 565 observations. Freshly added Cu varied between 50 and 600 mg Cu kg−1 of soil across studies. The partition of Cu removal between the above‐ and below‐ground portions was scaled as a logistic variable to facilitate data synthesis. The data were analyzed using the Adaboost machine learning model. Model accuracy (predicted vs. actual values) reached R2 = 0.862 after relating species, cultivar, Cu addition, clay, SOM, pH, soil test P, and Cu as features to predict the logistic target variable. Tissue Cu concentration varied between 7 and 105 mg Cu kg−1 in the shoot and between 73 and 1340 mg Cu kg−1 in the roots. Among soil properties, organic matter and soil test Cu most influenced the accuracy of the model. Phaseolus vulgaris, Brassica juncea, Ricinus communis, Hordeum vulgare, Sorghum vulgare, Cajanus cajan, Solanum lycopersicum, and Crotolaria spectabilis were the most efficient Cu‐extracting cover crops, as shown by positive values of the logistic variable (shoot removal > root removal). Those Cu‐tolerant plants showed differential capacity to extract Cu in the long run.

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Pollution,Waste Management and Disposal,Water Science and Technology,Environmental Engineering

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