外部因素对芥菜(Brássica júncea L.)微茎微量元素含量和生物量的影响:神经网络分析

Q3 Economics, Econometrics and Finance
Yan Puhalsky, Nikolai Vorobyov, S. Loskutov, Mariia A. Chukaeva, R. Glushakov, Andrew Babyka, Denis Meshcheriakov, Alla Yakubovskaya
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引用次数: 0

摘要

在室内种植有机微型蔬菜需要采用统一的技术程序,并使用各种外部诱导剂。秧苗的质量取决于其积累必需微量元素的能力。这项研究利用分形计算方法和重复数字序列评估了芥菜微菜的营养成分。实验涉及 Nika 品种的芥菜(Brássica júncea L.),在封闭箱中生长 15 天,光周期为 16 小时(440 µmoL m2/s)。植物接种了内生菌根真菌 Glomus mosseae。在椰子基质中加入富勒酸溶液(100 毫克/升)作为稳定有机添加剂。物理处理包括带磁感应的弱静态电磁场(20 mT)。元素分析采用电感耦合等离子体原子发射光谱(ICPE-9000)装置(日本岛津)进行。根据计算得出的微量元素生物合成指数,富勒酸和弱电磁场处理的样品结果最好(IndBcomL = 0.27)。由此产生的用于元素分析的干粉生物量为 10.2 克,是未受任何外部影响的对照样品(5.2 克)的两倍。有菌根的所有变体对植被过程中的微量元素总量都没有产生积极影响。生物量的平均增幅低至 20%。锌增加了 33.3%,而铝和铁分别减少了 59.5% 和 18.0%。芥菜微菜中微量元素的神经网络分析被证明是生物质质量生化诊断的有效数学模型。该方法可用于优化其他室内作物的生物技术过程,因为它可以用有机肥和细菌复合肥部分替代矿物肥料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of External Factors on Trace Element Profile and Biomass of Mustard (Brássica júncea L.) Microgreens: Neural Network Analysis
Growing organic microgreens indoors requires a unified technological procedure with various external elicitors. The quality of seedlings depends on their ability to accumulate essential microelements. This research assessed the nutrient profile of mustard microgreens using the method of fractal calculation with repeating numerical series. The experiment involved mustard (Brássica júncea L.) of the Nika variety grown in a closed box for 15 days under aggregation with an intensive 16-h photocycle (440 µmoL m2/s). The plants were inoculated with the endomycorrhizal fungus Glomus mosseae. A solution of fulvic acids (100 mg/L) served as a stabilizing organic additive and was introduced into the coconut substrate. The physical treatment included weak static electromagnetic field with magnetic induction (20 mT). The elemental analysis was performed by inductively coupled plasma atomic emission spectrometry on an ICPE-9000 device (Shimadzu, Japan). According to the calculated indices of the microelement biocomposition, the best result belonged to the sample treated with fulvic acids and weak electromagnetic field (IndBcomL = 0.27). The resulting biomass of dry powder for elemental analysis was 10.2 g, which was twice as high as the values obtained in the control sample, not subjected to any external influences (5.2 g). All the variants with mycorrhization produced no positive effect on the total pool of microelements during vegetation. The increase in biomass averaged as low as 20%. Zinc increased by 33.3% while aluminum and iron decreased by 59.5 and 18.0%, respectively. The neural network analysis of the microelements in mustard microgreens proved effective as a mathematical model for biochemical diagnostics of biomass quality. The method could be used to optimize the biotechnological process for other indoor crops as it makes it possible to partially substitute mineral fertilizers with organic and bacterial complex.
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来源期刊
Food Processing: Techniques and Technology
Food Processing: Techniques and Technology Engineering-Industrial and Manufacturing Engineering
CiteScore
1.40
自引率
0.00%
发文量
82
审稿时长
12 weeks
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