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      A Roadmap for Plant Genome Editing 

      Improving Science Communication About Genome Editing – Mitigating Strong Moral Convictions Through Shared Moral Goals

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      Springer Nature Switzerland

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          Abstract

          A large share of natural scientists considers the application of genetic engineering (GE) to be necessary for a sustainable transformation of agriculture. However, there is a stark divergence between scientific assessment and public perception of this technology, particularly in Germany. So far, science communication has not been able to reconcile this divergence. The chapter suggests that strong moral convictions hinder effective science communication and provides scientific evidence for this claim. Furthermore, the chapter presents research suggesting that strong moral convictions can be mitigated through shared moral goals. Building on this insight, recommendations for improved science communication about GE are formulated.

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          Most cited references43

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          Perception of risk

          P Slovic (1987)
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            Moral conviction: another contributor to attitude strength or something more?

            Attitudes held with strong moral conviction (moral mandates) were predicted to have different interpersonal consequences than strong but nonmoral attitudes. After controlling for indices of attitude strength, the authors explored the unique effect of moral conviction on the degree that people preferred greater social (Studies 1 and 2) and physical (Study 3) distance from attitudinally dissimilar others and the effects of moral conviction on group interaction and decision making in attitudinally homogeneous versus heterogeneous groups (Study 4). Results supported the moral mandate hypothesis: Stronger moral conviction led to (a) greater preferred social and physical distance from attitudinally dissimilar others, (b) intolerance of attitudinally dissimilar others in both intimate (e.g., friend) and distant relationships (e.g., owner of a store one frequents), (c) lower levels of good will and cooperativeness in attitudinally heterogeneous groups, and (d) a greater inability to generate procedural solutions to resolve disagreements.
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              Is Open Access

              A Meta-Analysis of the Impacts of Genetically Modified Crops

              Background Despite the rapid adoption of genetically modified (GM) crops by farmers in many countries, controversies about this technology continue. Uncertainty about GM crop impacts is one reason for widespread public suspicion. Objective We carry out a meta-analysis of the agronomic and economic impacts of GM crops to consolidate the evidence. Data Sources Original studies for inclusion were identified through keyword searches in ISI Web of Knowledge, Google Scholar, EconLit, and AgEcon Search. Study Eligibility Criteria Studies were included when they build on primary data from farm surveys or field trials anywhere in the world, and when they report impacts of GM soybean, maize, or cotton on crop yields, pesticide use, and/or farmer profits. In total, 147 original studies were included. Synthesis Methods Analysis of mean impacts and meta-regressions to examine factors that influence outcomes. Results On average, GM technology adoption has reduced chemical pesticide use by 37%, increased crop yields by 22%, and increased farmer profits by 68%. Yield gains and pesticide reductions are larger for insect-resistant crops than for herbicide-tolerant crops. Yield and profit gains are higher in developing countries than in developed countries. Limitations Several of the original studies did not report sample sizes and measures of variance. Conclusion The meta-analysis reveals robust evidence of GM crop benefits for farmers in developed and developing countries. Such evidence may help to gradually increase public trust in this technology.
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                Author and book information

                Book Chapter
                2024
                December 15 2023
                : 493-517
                10.1007/978-3-031-46150-7_30
                ae41bb7c-3f2d-4d17-a3df-57663bb37d41
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