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Use of genetically modified crops and pesticides in Brazil: growing hazards

Overview of attention for article published in Ciência & Saúde Coletiva, October 2017
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3 news outlets
blogs
1 blog
twitter
111 tweeters
facebook
3 Facebook pages
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1 Google+ user

Citations

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17 Dimensions

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39 Mendeley
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Title
Use of genetically modified crops and pesticides in Brazil: growing hazards
Published in
Ciência & Saúde Coletiva, October 2017
DOI 10.1590/1413-812320172210.17112017
Pubmed ID
Authors

Vicente Eduardo Soares de Almeida, Karen Friedrich, Alan Freihof Tygel, Leonardo Melgarejo, Fernando Ferreira Carneiro

Abstract

Genetically modified (GM) crops were officially authorized in Brazil in 2003. In this documentary study, we aimed to identify possible changes in the patterns of pesticide use after the adoption of this technology over a span of 13 years (2000 to 2012). The following variables were analyzed: Pesticide use (kg), Pesticide use per capita (kg/inhab), Pesticide and herbicide use per area (kg/ha) and productivity (kg/ha). Contrary to the initial expectations of decreasing pesticide use following the adoption of GM crops, overall pesticide use in Brazil increased 1.6-fold between the years 2000 and 2012. During the same period, pesticide use for soybean increased 3-fold. This study shows that the adoption of GM crops in Brazil has led to an increase in pesticide use with possible increases in environmental and human exposure and associated negative impacts.

Twitter Demographics

The data shown below were collected from the profiles of 111 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 21%
Student > Master 6 15%
Student > Postgraduate 5 13%
Professor > Associate Professor 2 5%
Student > Ph. D. Student 1 3%
Other 3 8%
Unknown 14 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 21%
Chemistry 3 8%
Economics, Econometrics and Finance 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Engineering 2 5%
Other 6 15%
Unknown 15 38%