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利用数学优化模型提高浮萍(Wolffia arrhiza 和 Lemna minor)微繁殖的效率。

Using Mathematical Optimization Models to Improve the Efficiency of Duckweeds (Wolffia arrhiza and Lemna minor) Micropropagation.

机构信息

Nikita Botanical Gardens, Yalta, Russia.

Branch of Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Puschino, Russia.

出版信息

Methods Mol Biol. 2024;2827:85-98. doi: 10.1007/978-1-0716-3954-2_6.

Abstract

The method of plant micropropagation is widely used to obtain genetically homogeneous and infection-free plants for the needs of various industries and agriculture. Optimization of plant growth and development conditions plays a key role in economically successful micropropagation. Computer technologies have provided researchers with new approaches for modeling and a better understanding of the role of the factors involved in plant growth in vitro. To develop new models for optimizing growth conditions, we used plants with a high speed of vegetative in vitro reproduction, such as duckweed (Wolffia arrhiza and Lemna minor). Using the development of the optimal modeling of the biological processes, we have obtained the prescriptions for an individually balanced culture medium that enabled us to obtain 1.5-2.0 times more duckweed biomass with a 1.5 times higher protein concentration in the dry mass. Thus, we have demonstrated that the method of optimization modeling of the biological processes based on solving multinomial tasks from the series of quadratic equations can be used for the optimization of trophic needs of plants, specifically for micropropagation of duckweeds in vitro.

摘要

植物微繁殖方法被广泛用于获得遗传同质和无感染的植物,以满足各种工业和农业的需求。优化植物生长和发育条件在经济上成功的微繁殖中起着关键作用。计算机技术为研究人员提供了新的方法来建模和更好地理解植物在体外生长中所涉及的因素的作用。为了开发新的生长条件优化模型,我们使用了具有快速体外繁殖速度的植物,例如浮萍(Wolffia arrhiza 和 Lemna minor)。通过对生物过程的最佳建模的开发,我们获得了个性化平衡培养基的配方,使我们能够获得 1.5 到 2 倍的浮萍生物量,而干质量中的蛋白质浓度则提高了 1.5 倍。因此,我们证明了基于解决来自二次方程系列的多项式任务的生物过程优化建模方法可用于优化植物的营养需求,特别是用于浮萍的体外微繁殖。

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