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| DOI：10.13522/j.cnki.ggps.2017.0467 |
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| Assessing Soil Nutrient and Microbial Biomass in Tea Plantation Regions of Guizhou Province |
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LI Yu, LIU Yanling, HUANG Xingcheng, ZHANG Yarong, ZHOU Guolan, ZHOU Fuyu, JIANG Taiming
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1. Institute of Soil and Fertilizer, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China; 2. Institute of Tea Research, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China; 3. Scientific Observing and Experimental Station of Arable Land Conservation and Agriculture Environment (Guizhou), Ministry of Agriculture, Guiyang 550006, China
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| Abstract: |
| 【Objective】 Crop growth relies on nutrients while nutrient transformation in soil is modulated by soil enzymatic and microbial activities. The purpose of this paper is to unravel the link between soil nutrients and soil microbial biomass in tea gardens in attempts to improve fertilizer use efficiency. 【Method】 Soil samples were taken from 0~20 cm, 20~40 cm and 40~60 cm between November and December in 2016 from areas planted with tea in Guizhou Province. For each example, we measured its soil nutrient indicators including cation exchange capacity (CEC), organic matter (OM), dissolved organic carbon (DOC), total nitrogen (TN)， soil enzymes including acid phosphatase and urease， and microbial biomass phosphorous (SMBP). 【Result】 All soil nutrient indicators, soil enzymes and microbial biomass decreased with soil depth. All nutritious and microbial properties varied spatially, with their contents in Puan, Nayong and Xixiu higher than that in Guiding, Meitam and Shiqian. Soil acid phosphatase, urease, SMBC and SMBP were significantly positively correlated between themselves, as well as to CEC, OM, DOC, TN, DON, NH4-N. These could be used as biological indicators to evaluate soil fertility. Principal component analysis showed that four principal components were extracted from the initial 20 soil fertility indices; the primary and secondary principal group of the components reflected 70.6% of the original information. Within the primary group of the principal components, CEC, OM, DOC, TN, DON, acid phosphatase, urease, SMBC, SMBP and SMBC/SMBN were the major contributors, while within the secondary group of the principal components, TP, AN, AP, AK and pH contributed more. Hierarchical cluster analysis showed that soil nutrients in 12 soil samples taken from different areas can be divided into 6 grades: Nayong and Puan were the highest, followed by Xixiu, Meitan, Shiqian, Guiding. 【Conclusion】 Soil enzymes and microbial biomass can be used as biological indices to evaluate soil nutrients in tea gardens in Guizhou provinces. The soil fertility level at Nayong, Puan, Xixiu is higher than that at Meitan, Guiding, Shiqian. Application of nitrogen, phosphorus and potassium fertilizer in tea gardens of Guizhou should be balanced, and more organic fertilizer should be added to increased soil organic matter in areas including Guiding, Meitan and Shiqian. |
| Key words: tea garden; soil nutrient; soil microbial biomass; principal component analysis; hierarchical cluster analysis |
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