Xiaojun Jiang, Jing Dai, Yi Huang, Dan Zhao, Yao Yin, Qiao Lin, Mengmeng Hou, Hong Jin
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The Proteobacteria was the most dominant phylum for bacteria with 33.59%, and Ascomycota for fungi with 46.33% based on the amplicon sequencing. Armillaria relative abundance, soil available potassium, and temperature seasonality were the key factors. Their independent effects were 74.14%, 24.78%, and 20.36% on yield, and 36.83%, 25.63%, and 21.30% on quality, respectively. Plant subspecies directly determined the yield and quality (P < 0.01). Soil physical properties affected chemical properties, which in turn affected biological properties and ultimately yields (P < 0.05). Meanwhile, soil physical properties affected quality by influencing soil chemical properties (P < 0.01). 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引用次数: 0
摘要
天麻(G. elata Bl.)是一种药食两用的草药。野生资源枯竭,人工栽培产量或质量明显下降。然而,究竟是什么因素导致了这种下降,目前还不清楚。本研究基于多产区综合数据,首次采用层次划分和偏最小二乘路径建模方法,定量评价了人工栽培黑参产量和品质的主要影响因素及其作用机制。结果表明,所有的elata均可分为两个栽培亚种:elata bla . f. elata和g.a elata bla . f. glauca。根据扩增子测序结果,变形菌门(33.59%)和子囊菌门(46.33%)是细菌和真菌的最优势门。蜜环菌相对丰度、土壤速效钾和温度季节性是影响其生长的关键因素。对产量的独立影响分别为74.14%、24.78%和20.36%,对品质的独立影响分别为36.83%、25.63%和21.30%。植物亚种直接决定产量和品质(P
Comprehensive quantitative evaluation and mechanism analysis of influencing factors on yield and quality of cultivated Gastrodia elata Blume.
Gastrodia elata Blume (G. elata Bl.) is a dual-purpose herb for medicine and food. Wild resources are depleted, and there is a significant decrease in yield or quality when they are cultivated artificially. However, what factors led to the decline is still unclear. In this study, based on comprehensive data under multiple production regions, hierarchical partitioning and partial least squares path modeling were used for the first time to quantitatively evaluate the dominant influencing factors and mechanism for the yield and quality of cultivated G. elata Bl.. The results showed that all G. elata Bl. were categorized into two cultivated subspecies G. elata Bl. f. elata and G. elata Bl. f. glauca. The Proteobacteria was the most dominant phylum for bacteria with 33.59%, and Ascomycota for fungi with 46.33% based on the amplicon sequencing. Armillaria relative abundance, soil available potassium, and temperature seasonality were the key factors. Their independent effects were 74.14%, 24.78%, and 20.36% on yield, and 36.83%, 25.63%, and 21.30% on quality, respectively. Plant subspecies directly determined the yield and quality (P < 0.01). Soil physical properties affected chemical properties, which in turn affected biological properties and ultimately yields (P < 0.05). Meanwhile, soil physical properties affected quality by influencing soil chemical properties (P < 0.01). In conclusion, our study contributed novel insight to optimize cultivation strategies of G. elata Bl..
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