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：
植物微繁殖方法广泛用于获得遗传同质且无侵染的植物，以满足各种工业和农业的需求。植物生长和发育条件的优化在经济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建模方法，并更好地了解了与植物体外生长有关的因素的作用。为了开发用于优化生长条件的新模型，我们使用了高速无性繁殖的植物，如浮萍（Wolfiaarrhiza和Lemna小调）。利用生物过程优化建模的发展，我们已经获得了单独平衡的培养基的处方，使我们能够获得1.5-2.0倍的浮萍生物量和1.5倍的蛋白质浓度。因此，我们已经证明，基于从一系列二次方程求解多项任务的生物过程优化建模方法可以用于植物营养需求的优化，专门用于体外微繁浮萍。
