The nutrition-environment nexus assessment of Thai Riceberry product for supporting environmental product declaration.

Autor: Mungkung, Rattanawan1,2 (AUTHOR) rattanawan.m@ku.th, Dangsiri, Sarocha1 (AUTHOR), Satmalee, Prajongwate3 (AUTHOR), Surojanametakul, Vipa3 (AUTHOR), Saejew, Katreeya1 (AUTHOR), Gheewala, Shabbir H.4,5 (AUTHOR)
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Zdroj: Environment, Development & Sustainability. Feb2024, Vol. 26 Issue 2, p4487-4503. 17p.
Abstrakt: Riceberry rice has a special characteristic of being specially bred with high nutrients. High-value added products from riceberry are being promoted targeting health-conscious consumers. To provide supporting information for sustainable food systems, environmental footprinting was applied for evaluating the environmental performance of a ready-to-eat product of riceberry rice mixed with kidney red bean called "Riceberry + KU", developed by Kasetsart University in Thailand. Based on sold unit as the unit of analysis, the carbon footprint of Riceberry + KU was 5.24 gCO2e per 300 g. Interestingly, white rice had the highest carbon footprint and riceberry rice as well as the riceberry product had at least 30% lower values. However, using nutrient-based scores, although white rice still had the highest carbon footprint, Riceberry + KU had 80% lower and the riceberry rice had 65% lower values. This resulted from the highest nutritional levels found in Riceberry + KU along with the lower greenhouse gas emissions from riceberry field during the cultivation stage. Similar trends were found in the other impact categories assessed by using life cycle assessment as well. To provide appropriate information to consumers for making more sustainable food choices, the environmental performance based on nutrient quality resulting from different farming systems and processing methods should be used to derive recommendations for moving toward sustainable food systems. The nutrition-environment nexus assessment could be very useful for supporting consumers toward making more sustainable food choices. [ABSTRACT FROM AUTHOR]
Databáze: GreenFILE
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