微生物复合菌剂的制备

【背景】微生物复合菌剂比单一菌剂更能够在土壤中高效、稳定发挥作用促进作物生长,是微生物菌剂发展的趋势,但是目前对构建微生物复合菌剂的研究不够深入。【目的】研制可显著促进水稻生长的微生物复合菌剂,并构建微生物复合菌剂的数学模型。【方法】将解淀粉芽孢杆菌(Bacillus amyloliquefaciens) FH-1与7株植物促生细菌按照生物量1:1的比例复配成微生物复合菌剂,利用水稻盆栽实验筛选高效复合微生物菌剂。利用生化方法对各个菌株的促生特性进行测定。分析植物特征和菌株促生特性间的相关性关系,并据此利用一般线性方程构建复合菌剂的数学模型。【结果】与空白对照CK相比,复合菌剂FN显著提升水稻的苗长20.79%、根长26.67%和鲜重74.84%(P0.05),是7种微生物复合菌剂中综合效果最佳的微生物复合菌剂。偏相关分析结果表明解无机磷能力、产铁载体能力和产ACC脱氨酶能力在促进植物生长过程中可能发挥着更重要的作用。根据菌剂促生特性与植物特征的偏相关性结果,构建了微生物复合菌剂数学模型,预测准确率可达97%以上。【结论】成功研制了高效促进水稻生长的微生物复合菌剂,并构建了微生物复合菌剂的数学模型,可为微生物复合菌剂的研制提供一定的科学指导。

Preparation of microbial compound agents

Background] Compared with single microbial agent, microbial compound agent is more efficient and stable to promote crop growth. Objective] To develop a microbial compound agent that can significantly promote the growth of rice, and build a mathematical model for the construction of microbial compound agent. Methods] Bacillus amyloliquefaciens FH-1 was mixed with one of the seven plant growth promoting bacteria, in a biomass ratio of 1:1. The high-efficiency compound microbial agent was screened by rice pot experiment. Biochemical methods were used to determine the growth promoting characteristics of compound agent. Based on the analysis of the correlation between the plant characteristics and the growth promoting characteristics of the strains, a mathematical model for the construction of microbial compound agent was established by using the general linear equation. Results] Compared with the control, microbial compound agent FN (Bacillus amyloliquefaciens FH-1 and Brevundimonas sp. NYM-3) significantly increased the rice shoot length, root length and fresh weight of rice by 20.79%, 26.67%, and 74.84% (P<0.05), respectively. The microbial compound agent FN was the best microbial compound agent among the seven microbial compound agents. Partial correlation analysis showed that the abilities to dissolve inorganic phosphorus, to produce siderophore and to secret ACC deaminase might play more important roles in promoting plant growth. According to the results of partial correlation between the plant growth promoting characteristics of microbial agents and the characteristics of plants, the mathematical model for the preparation of microbial compound agent was constructed and the prediction accuracy was over 97%. Conclusion] We have successful developed a high-efficient microbial compound agent to promote rice growth, and constructed a mathematical model for the construction of microbial compound agent, which could provide scientific guidance for the development of the microbial compound agent.