生物多样性数字孪生原型:促进粮食安全的作物野生近缘植物遗传资源

D. Chala, E. Kusch, Claus Weiland, Carrie Andrew, Jonas Grieb, Tuomas P. Rossi, Tomas Martinovic, Dag Endresen
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引用次数: 0

摘要

在人口增长以及干旱、极端天气、真菌和虫害以及各种作物疾病等气候因素对作物造成压力的情况下,确保粮食安全需要创新的战略。作物野生近缘种(CWR),即与作物同属的野生植物以及与作物同种的野生种群,提供了新的遗传资源,对提高作物抵御这些胁迫因素的能力至关重要。在此,我们介绍一种数字孪生原型(pDT),以帮助搜索和利用 CWR 遗传资源。利用 MoDGP(感兴趣种质建模)工具,pDT 可以绘制出能找到抗逆 CWR 群体的地理区域图。该工具采用图形用户界面,可灵活地从化武资源中选择遗传资源,以提高各种作物对各种胁迫因素的抗逆能力。
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Prototype biodiversity digital twin: crop wild relatives genetic resources for food security
Amidst population growth and climate-driven crop stresses such as drought, extreme weather, fungal and insect pests, as well as various crop diseases, ensuring food security demands innovative strategies. Crop wild relatives (CWR), wild plants in the same genus as the crop as well as wild populations belonging to the same species as the crop, offer novel genetic resources crucial for enhancing crop resilience against these stress factors. Here, we introduce a prototype digital twin (pDT) to aid in searching and utilising CWR genetic resources. Using the MoDGP (Modelling the Germplasm of Interest) tool, the pDT enables mapping geographic areas where stress-tolerant CWR populations can be found. With its graphical user interface, it offers flexibility in selecting genetic resources from CWR tailored to enhance resilience of various crops against diverse stress factors.
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