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Global agriculture aims to minimize its impacts on environment and human health while maintaining its productivity. This requires a comprehensive understanding of its benefits and costs to ecosystems and society. Here, we apply a new evaluation framework developed by the Economics of Ecosystems and Biodiversity for Agriculture and Food (TEEBAgriFood) to assess key benefits and costs on the production side of genetically modified (GM) and organic corn systems in Minnesota, USA. The market value of GM corn is $4.5 billion, and only $31.8 million for organic corn using production data and market prices of 2017. GM corn generates revenue of $1488 per hectare (at $121 per MT), which is significantly lower than the organic corn at $2793 per hectare (at $294 per MT). Using a novel three-stage wellbeing valuation, analysis of the associations between corn production intensity and subjective measures of general health and wellbeing indicates that the total non-financial health cost associated with GM corn is $427.50 per hectare or $1.3 billion annually. We also find that the total annual environmental cost associated with GM corn production is $179 per hectare or $557.65 million within Minnesota. The use of the evaluation framework can help to improve decision making at farm and policy level to develop sustainable agriculture in order to minimize environmental and health related costs to society and economy.
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http://dx.doi.org/10.1038/s41598-020-60826-5 | DOI Listing |
Chem Biodivers
September 2025
Key Lab of Natural Product Chemistry and Application at Universities of Education, Department of Xinjiang Uygur Autonomous Region, School of Chemistry and Chemical Engineering, Yili Normal University, Xinjiang, China.
The persistent threat posed by phytopathogenic fungi to agricultural systems underscores the critical need for novel fungicides. Here, we synthesized and characterized a series of novel acridospiroisoxazole derivatives (H1-H36) using H/C NMR and mass spectrometry. The absolute configuration of compound H23 was confirmed using single-crystal x-ray diffraction analysis.
View Article and Find Full Text PDFPlant Biotechnol J
September 2025
College of Agronomy, Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, Henan Agricultural University, Zhengzhou, China.
The magnetic field is a continuously present environmental factor. It has been found that many species, including plants, can sense and utilise it. However, the effects of the magnetic field on plants and its potential utilisation, especially in crops, have been little explored.
View Article and Find Full Text PDFJ Environ Qual
September 2025
Department of Food Science and Human Nutrition, Michigan State University, East Lansing, Michigan, USA.
Per- and polyfluoroalkyl substances (PFAS) in biosolid-amended soils can transfer and accumulate in crops, cattle, and people. Bioaccumulation factors (BAFs) are often applied to estimate the transfer of contaminants from soil to crops. However, they can vary widely and introduce uncertainty to exposure and risk estimates.
View Article and Find Full Text PDFGlob Chang Biol
September 2025
Department of Agronomy, Purdue University, West Lafayette, Indiana, USA.
Understanding how interactive management practices and climatic behavior influence soybean [Glycine max (L.) Merr.] productivity is imperative to inform future production systems under changing climate.
View Article and Find Full Text PDFJ Sci Food Agric
September 2025
State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, China.
Background: Understanding starch behavior under various processing conditions is important for the development of novel food products with tailored nutritional profiles. This study investigated changes to the structure and properties of native corn starch (NCS) and biomimetic starch-entrapped microspheres following thermal and enzymatic treatments.
Results: Heat-treated microspheres showed more birefringence and structural order than native starch, indicating incomplete gelatinization due to the alginate matrix.