Microcalorimetric study of the effects of long-term fertilization on soil microbial activity in a wheat field on the Loess Plateau

Zhang, Qi; Liu, Xiaomei; Ma, Xiaojun; Fang, Jian; Fan, Tingting; Wu, Fasi; An, Lizhe; Feng, Huyuan

doi:10.1007/s10646-014-1315-6

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…Seven kinds of soil enzyme activities (acid phosphatase, sucrase, protease, polyphenol oxidase, urease, dehydrogenase, and catalase) were detected. Acid phosphatase activity was determined by the disodium phosphate benzene colorimetric method [16], and the 3,5-dinitrosalicylic acid method was applied to assay the sucrase activity [17]. Protease activity was assayed according to ninhydrin colorimetric method [18].…”

Section: Dynamic Changes Of Soil Enzyme Activitiesmentioning

confidence: 99%

Enhancement of Interplanting of Ficus carica L. with Taxus cuspidata Sieb. et Zucc. on Growth of Two Plants

Yang

et al. 2021

Agriculture

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Medicinal-agroforestry systems are one of the multi-functional medicinal plant production systems, gaining attention as a sustainable alternative to traditional monoculture systems. In this study, three planting patterns were established which included: (1) monoculture F. carica (MF); (2) monoculture T. cuspidata (MT); and (3) interplanting F. carica with T. cuspidata (IFT). The differences of growth biomass, photosynthesis, soil nutrients, soil enzyme activities, soil microorganisms, and main secondary metabolites of F. carica and T. cuspidata under the above three models were investigated. Compared with the MF and MT patterns, IFT pattern for 5 months significantly increased the plant growth biomass, photosynthesis, soil organic carbon, total nitrogen, and secondary metabolites content. The activities of acid phosphatase, sucrase, protease, polyphenol oxidase, urease, dehydrogenase, and catalase in soil of IFT were significantly higher than MF and MT patterns. Results showed that IFT pattern is preferred compared to the MF and MT patterns. Our result will help to provide a feasible theoretical basis for the large-scale establishment of F. carica and T. cuspidata mixed forests and obtain high-quality medicine sources for extracting important active ingredients, psoralen and paclitaxel, which are crucial to the long-term sustainable development and production of medicinal plants.

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Section: Dynamic Changes Of Soil Enzyme Activitiesmentioning

confidence: 99%

Enhancement of Interplanting of Ficus carica L. with Taxus cuspidata Sieb. et Zucc. on Growth of Two Plants

Yang

et al. 2021

Agriculture

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“…But reliable network analysis is based on deep exploring patterns in large and complex datasets, which are more di cult to detect using the standard alpha/beta diversity metrics widely used in microbial ecology (Proulx et al, 2005). Fortunately, due to the advances in barcoded pyrosequencing technique (Feng et al, 2014;de Vries et al, 2018;Wang et al, 2020), it is now possible to generate microbial datasets using network analysis approaches in highly diverse communities, like those found in soils, to explore co-occurrence patterns. Exploring co-occurrence patterns between soil microorganisms can help to decipher inter-or intraphyla interactions related to biotic factors, habitat a nities or shared common physiology to guide more focused research.…”

Section: Introductionmentioning

confidence: 99%

Community structure and co-occurrence network analysis of bacteria and fungi in wheat fields vs fruit orchards

Cui

Zhu

et al. 2022

Arch Microbiol

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Soil microorganisms play a vital role in biogeochemical processes and nutrient turnover in agricultural ecosystems. However, the information on how the structure and co-occurrence patterns of microbial communities respond to the change of planting methods is still limited. In this study, a total of 34 soil samples were collected from 17 different elds of two planting types (wheat and orchards) along the Taige Canal in Yangtze River Delta. The distribution and diversity of bacterial and fungal communities in soil were determined using amplicon sequencing targeting the 16S rRNA gene and ITS gene, respectively. The dominated bacteria were Proteobacteria, Acidobacteriota, Actinobacteriota, Chloro exi, Bacteroidota, and Firmicutes. The relative abundance of Actinobacteriota and Firmicutes was higher in the orchards, while Chloro exi and Nitrospirota were more abundant in wheat elds. Ascomycota, Mortierellomycota, and Basidiomycota were the predominant fungi in both types of soils. The diversity of bacterial and fungal communities was greater in the wheat elds than in the orchards. The statistical analyses showed that pH was the main factor shaping the community structure. Moreover, high co-occurrence patterns of bacteria and fungi were con rmed in both wheat elds and orchards. Network analyses showed that both the wheat elds and orchards occurred modular structure, which mainly contained nodes of Acidobacteriota, Chloro exi, Gemmatimonadota, Nitrospirota and Ascomycota. In summary, our work showed the co-occurrence network and the convergence/divergence of microbial community structure in wheat elds and orchards, giving a comprehensive understanding of the microbe-microbe interaction during planting methods changes. HighlightsThe diversity of both bacteria and fungi were higher in the wheat elds than in orchards. pH was the main factor affected the soil bacterial in wheat elds, while WC, TOC and TN all had great in uences on bacterial community in the orchards.Co-occurrence of bacteria and fungi were both investigated in wheat and orchard soils.

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“…About 0.1 mL of solution was spread on potato-martin medium to culture the fungus at 37 °C and was spread on beef extract peptone medium to culture bacteria at 25 °C. The CFU was counted when there was no increase in colonies 29 . Since soil parameters are correlated with each other, we conducted a principal component analysis based on their correlation matrice.…”

Section: Soil Enzyme Activities and Bacteria And Fungi Population Tmentioning

confidence: 99%

Key soil parameters affecting the survival of Panax notoginseng under continuous cropping

Wang

et al. 2021

Sci Rep

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Negative plant-soil feedbacks lead to the poor growth of Panax notoginseng (Sanqi), a well-known herb in Asia and has been used worldwide, under continuous cropping. However, the key soil parameters causing the replant problem are still unclear. Here we conducted a field experiment after 5-year continuous cropping. Sanqi seedlings were cultivated in 7 plots (1.5 m × 2 m), which were randomly assigned along a survival gradient. In total, 13 important soil parameters were measured to understand their relationship with Sanqi’s survival. Pearson correlation analysis showed that 6 soil parameters, including phosphatase, urease, cellulase, bacteria/fungi ratio, available N, and pH, were all correlated with Sanqi’s survival rate (P < 0.05). Principal component analysis (PCA) indicated that they explained 61% of the variances based on the first component, with soil pH being closely correlated with other parameters affecting Sanqi’s survival. The optimum pH for Sanqi growth is about 6.5, but the mean soil pH in the study area is 5.27 (4.86–5.68), therefore it is possible to ameliorate the poor growth of Sanqi by increasing soil pH. This study may also help to reduce the replant problem of other crops under continuous cropping since it is widespread in agricultural production.

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Microcalorimetric study of the effects of long-term fertilization on soil microbial activity in a wheat field on the Loess Plateau

Cited by 9 publications

References 20 publications

Enhancement of Interplanting of Ficus carica L. with Taxus cuspidata Sieb. et Zucc. on Growth of Two Plants

Enhancement of Interplanting of Ficus carica L. with Taxus cuspidata Sieb. et Zucc. on Growth of Two Plants

Community structure and co-occurrence network analysis of bacteria and fungi in wheat fields vs fruit orchards

Key soil parameters affecting the survival of Panax notoginseng under continuous cropping

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