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Author Correction: Impact of genetically engineered maize on agronomic, environmental and toxicological traits: a meta-analysis of 21 years of field data
- Source :
- Scientific Reports, Vol 8, Iss 1, Pp 1-1 (2018), Scientific Reports
- Publication Year :
- 2018
- Publisher :
- Nature Publishing Group, 2018.
-
Abstract
- Despite the extensive cultivation of genetically engineered (GE) maize and considerable number of scientific reports on its agro-environmental impact, the risks and benefits of GE maize are still being debated and concerns about safety remain. This meta-analysis aimed at increasing knowledge on agronomic, environmental and toxicological traits of GE maize by analyzing the peer-reviewed literature (from 1996 to 2016) on yield, grain quality, non-target organisms (NTOs), target organisms (TOs) and soil biomass decomposition. Results provided strong evidence that GE maize performed better than its near isogenic line: grain yield was 5.6 to 24.5% higher with lower concentrations of mycotoxins (-28.8%), fumonisin (-30.6%) and thricotecens (-36.5%). The NTOs analyzed were not affected by GE maize, except for Braconidae, represented by a parasitoid of European corn borer, the target of Lepidoptera active Bt maize. Biogeochemical cycle parameters such as lignin content in stalks and leaves did not vary, whereas biomass decomposition was higher in GE maize. The results support the cultivation of GE maize, mainly due to enhanced grain quality and reduction of human exposure to mycotoxins. Furthermore, the reduction of the parasitoid of the target and the lack of consistent effects on other NTOs are confirmed.
- Subjects :
- 020209 energy
Field data
lcsh:Medicine
02 engineering and technology
Zea mays
Soil
0202 electrical engineering, electronic engineering, information engineering
Animals
Humans
Author Correction
Pest Control, Biological
lcsh:Science
Plant Diseases
Multidisciplinary
business.industry
Genetically engineered
lcsh:R
Agriculture
Mycotoxins
Plants, Genetically Modified
Biotechnology
Meta-analysis
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Environmental science
lcsh:Q
business
Genetic Engineering
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 8
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....bf6b900e41d23115a4798707611d30a5