Faculty Opinions recommendation of Unintended compositional changes in genetically modified (GM) crops: 20 years of research.

Author(s):  
Niklaus Ammann
2019 ◽  
Vol 116 (8) ◽  
pp. 3006-3011 ◽  
Author(s):  
J. H. Boyle ◽  
H. J. Dalgleish ◽  
J. R. Puzey

Monarch butterfly (Danaus plexippus) decline over the past 25 years has received considerable public and scientific attention, in large part because its decline, and that of its milkweed (Asclepias spp.) host plant, have been linked to genetically modified (GM) crops and associated herbicide use. Here, we use museum and herbaria specimens to extend our knowledge of the dynamics of both monarchs and milkweeds in the United States to more than a century, from 1900 to 2016. We show that both monarchs and milkweeds increased during the early 20th century and that recent declines are actually part of a much longer-term decline in both monarchs and milkweed beginning around 1950. Herbicide-resistant crops, therefore, are clearly not the only culprit and, likely, not even the primary culprit: Not only did monarch and milkweed declines begin decades before GM crops were introduced, but other variables, particularly a decline in the number of farms, predict common milkweed trends more strongly over the period studied here.


2021 ◽  
Vol 37 (2) ◽  
pp. 167-183
Author(s):  
Aniket Aga

A fierce controversy over genetically modified (GM) crops has been raging in India for over two decades. Analyzing India’s regulatory regime for GM crops, this article focuses on the modes through which state bureaucracies know the environment. It argues that two epistemologies - scientific and legal-administrative – underpin environment protection. By unraveling the course of regulatory disputes, I demonstrate that bureaucracies are not just hierarchically divided but are also segmented by horizontal, functional specializations. There is thus an inherent ambiguity lodged between environment as a technical discourse and as statecraft. This ambiguity both fosters and constrains democratic participation in policy decisions and can even partially disrupt power relations in unanticipated ways.


2012 ◽  
Vol 14 (02) ◽  
pp. 1250013 ◽  
Author(s):  
DENISE GALLO PIZELLA ◽  
MARCELO PEREIRA DE SOUZA

Brazil is the second largest producer of genetically modified crops (GM crops) and the National Technical Commission on Biosafety (CTNBio) the decision making agency on this matter. The country uses Risk Analysis (RA) and project EIA as tools for biosafety evaluation. This paper aims to review the appropriateness of these tools for evaluating the environmental impacts of GM crops, also considering institutional aspects. An overview of the process of release of GM crops in Brazil along with important operational and institutional aspects is provided. The results indicate that project EIA could be applied to GM crops in specific sites and RA could give support to the evaluation of GM crop itself. Regarding institutional issues, it is concluded that decisions should be made by the environmental bodies, and not by the CTNBio.


2011 ◽  
Vol 59 (16) ◽  
pp. 8779-8788 ◽  
Author(s):  
Justin T. Marsh ◽  
Theodora Tryfona ◽  
Stephen J. Powers ◽  
Elaine Stephens ◽  
Paul Dupree ◽  
...  

2018 ◽  
Vol 27 (8) ◽  
pp. 952-966 ◽  
Author(s):  
Carla Almeida ◽  
Luisa Massarani

Genetically modified organisms have been at the centre of a major public controversy, involving different interests and actors. While much attention has been devoted to consumer views on genetically modified food, there have been few attempts to understand the perceptions of genetically modified technology among farmers. By investigating perceptions of genetically modified organisms among Brazilian farmers, we intend to contribute towards filling this gap and thereby add the views of this stakeholder group to the genetically modified debate. A comparative analysis of our data and data from other studies indicate there is a complex variety of views on genetically modified organisms among farmers. Despite this diversity, we found variations in such views occur within limited parameters, concerned principally with expectations or concrete experiences regarding the advantages of genetically modified crops, perceptions of risks associated with them, and ethical questions they raise. We then propose a classification of prevailing profiles to represent the spectrum of perceptions of genetically modified organisms among farmers.


2021 ◽  
pp. 103-117
Author(s):  
Wei Wei ◽  
Jun-Ming Wang ◽  
Xiang-Cheng Mi ◽  
Yan-Da Li ◽  
Yan-Ming Zhu

Abstract Gene flow from genetically modified (GM) plants is concerning because of its ecological risks. In modeling studies, these risks may be reduced by altering crop management while taking environmental conditions into account. Gene flow modeling should consider many field aspects, both biological and physical. For example, empirical statistical models deduced from experimental data simulate gene flow well only under limited conditions (similar to experimental conditions). Mechanistic models, however, offer a potentially greater predictive ability. Gene flow models from GM crops to non-GM crops are used to simulate field conditions and minimize the adventitious presence of transgenes to meet certain threshold levels. These models can be adapted to simulate gene flow from GM crops to crop wild relatives using parameters of sexual compatibility and growth characteristics of the wild plants. Currently, modeling gene flow from herbicide-resistant weeds has become very important in light of the increased application of herbicides and widely evolved resistance in weeds.


2007 ◽  
Vol 90 (5) ◽  
pp. 1508-1512
Author(s):  
Khondoker Md Nasiruddin ◽  
Anwar Nasim

Abstract Bangladesh is on the verge of adopting genetically modified (GM) crops for commercial cultivation and consumption as feed and food. Most of the laboratories are engaged in tissue culture and molecular characterization on plants, whereas some have started living modified organism research with shortages of trained manpower, infrastructure, and funding. Nutritionally improved Golden Rice, biotech brinjal, and late blight-resistant potato are in contained trials in a greenhouse, and potato ring spot virus-resistant papaya is in the process of approval for a field trial. The government has taken some initiative in support of GM organism research, which include the formation of a Biotechnology Department in all institutes and the formation of the apex body, the National Task Force Committee on Biotechnology of Bangladesh under the chairpersonship of the Prime Minister. Biosafety policy guidelines and related aspects of biotechnology issues have been approved, and the laws are in the process of being promulgated. Being a party to the Cartagena Protocol, proper biosafety measures are regulated by the appropriate authority as stated. Although there are no laws made yet directly for biosafety of GM crops/foods, the relevant laws on agriculture, medicine, food, import, trade, environment, etc. may suffice and explain the situation.


2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Parisa Keshani ◽  
Mohammad Hossein Sharifi ◽  
Mohammad Reza Heydari ◽  
Hassan Joulaei

Background and Objectives. With the increase in the growth of genetically modified (GM) crops, concerns as to the adverse effects of GM crops have risen in the community. The present systematic review seeks to assess the GM plants’ potential impacts on the sperm parameters, including sperm head, sperm motility, sperm abnormality, and fertility index. Materials and Methods. A structured literature search was independently performed by three authors on Scopus, Web of Science, PubMed, and Embase in January 2019. A total of 1467 publications were obtained by the search strategy after eliminating the duplicates. Moreover, the review only included articles written in English language. Other pertinent peer-reviewed publications were chosen (“snowballing”) from the reference lists in the selected publications. To assess the GM crop effects on infertility, experimental studies designed with the control group were selected. On the basis of abstract screening and full-text reviewing, 39 relevant publications were selected, seven of which were used in our review. To access the quality of articles, we used the Cochrane checklist. The collected articles were scored independently by three authors, and the publications with the eligibility criteria were included in our review. No article was excluded due to quality assessment. Results and Conclusion. Our findings indicated that GM products had no adverse effects on infertility indices such as the sperm head, sperm motility, sperm abnormality, and fertility indices. Long-term research still seems to be strongly necessary to ensure that the use of GM plants does not cause any harm to consumers, especially in infertility area.


2010 ◽  
Vol 93 (2) ◽  
pp. 734-749 ◽  
Author(s):  
Takashi Kodama ◽  
Yasunori Kurosawa ◽  
Kazumi Kitta ◽  
Shigehiro Naito

Abstract The Horwitz curve estimates interlaboratory precision as a function only of concentration, and is frequently used as a method performance criterion in food analysis with chemical methods. The quantitative biochemical methods based on real-time PCR require an analogous criterion to progressively promote method validation. We analyzed the tendency of precision using a simplex real-time PCR technique in 53 collaborative studies of seven genetically modified (GM) crops. Reproducibility standard deviation (SR) and repeatability standard deviation (Sr) of the genetically modified organism (GMO) amount () was more or less independent of GM crops (i.e., maize, soybean, cotton, oilseed rape, potato, sugar beet, and rice) and evaluation procedure steps. Some studies evaluated whole steps consisting of DNA extraction and PCR quantitation, whereas others focused only on the PCR quantitation step by using DNA extraction solutions. Therefore, SR and Sr for GMO amount () are functions only of concentration similar to the Horwitz curve. We proposed SR 0.1971C0.8685 and Sr 0.1478C0.8424, where C is the GMO amount (). We also proposed a method performance index in GMO quantitative methods that is analogous to the Horwitz Ratio.


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