Unverified paper record
Digital quantification and characterization of root architectural diversity across collard landrace varieties
1 Nov 2022 · 10.22541/au.166733726.61417740/v1
Abstract
Urban agriculture has been broadly acknowledged for its potential to reduce carbon emissions, increase food security, and improve economic growth in some of the most vulnerable communities in the United States. Collard ( B.oleracea var. viridis ) is a diploid leafy green, grown on urban farms and community gardens across the country, including the St. Louis Metro region. Beyond their nutritional importance, collards provide urban and commercial agronomic systems with a plethora of important ecosystem services. They scavenge nitrogen and available resources, suppress weeds, and act as a biofumigant to control soil-borne pests and pathogens. Recently, The Heirloom Collard Project characterized the above-ground growth habits of 18 landrace collard varieties across 250 organic gardens and farms. Little work has been published to investigate collard root system architecture, which influences both quality traits and ecosystem services that contribute to sustainable crop production. The objectives of this research are to 1) quantify root spatial and temporal diversity across 18 landrace collard varieties, and 2) evaluate the relationship between root phenotype and urban farmer crowd-sourced data for key traits such as germination rate, disease resistance, vigor, yield, flavor, and winter hardiness. This work will lead to the development of a participatory framework for urban farmers and chefs to select varieties with improved root architecture based on regional needs.
Plant phenotyping relevance
根系アーキテクチャという植物形質をデジタルに定量化・解析することが研究の中心であり、単なる生物学的実験の補助測定ではないため。
titleDigital quantification and characterization of root architectural diversity across collard landrace varieties
abstractThe objectives of this research are to 1) quantify root spatial and temporal diversity across 18 landrace collard varieties
Code and data availability
The supplied blocks contain only the title page and abstract of the preprint. There is no mention of any public phenotype dataset, root images, analysis code, models, or data availability statement, so no paper-specific public asset can be identified.
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