Xuan Zhou

Dr. Xuan Zhou

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 January 2024 in Biochar
Verified
Journal Article
Open access
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WHWang Hu
Wang Hu
YZYuping Zhang
Yuping Zhang
XRXiangmin Rong
Xiangmin Rong
XZXuan Zhou
Xuan Zhou
JFJiangchi Fei
Jiangchi Fei
Gongwen LuoGongwen Luo
Gongwen Luo
Biochar and organic fertilizer are widely supported to maintain crop production and sustainable development of agroecosystems. However, it is unclear how biochar and organic fertilizer alone or in combination regulate soil functional microbiomes and their relationships to ecosystem multifunctionality (EMF). Herein, a long-term (started in 2013) field experiment, containing five fertilization treatments, was employed to explore the effects of biochar and organic fertilizer applications on the EMF (based on 18 functional indicators of crop productivity, soil nutrient supply, element cycling, and microbial biomass) and the functional microbiomes of bulk soil and rhizosphere soil [normalizing the abundances of 64 genes related to carbon (C), nitrogen (N), phosphorus (P), and sulphur (S) cycles]. Compared with single-chemical fertilization, biochar and organic fertilizer inputs significantly enhanced most ecosystem-single functions and, in particular, the EMF significantly increased by 18.7–30.1%; biochar and organic fertilizer applications significantly increased the abundances of soil microbial functional taxa related to C-N-P-S cycles to varying degree. The combined application of biochar and organic fertilizer showed a better improvement in these indicators compared to using them individually. Most functional microbial populations in the soil, especially the taxa involved in C degradation, nitrification, nitrate-reduction, organic P mineralization, and S cycling showed significantly positive associations with the EMF at different threshold levels, which ultimately was regulated by soil pH and nutrient availability. These results highlight the strong links between soil microbiomes and agroecosystem functions, as well as providing scientific support for inclusion of biochar in agricultural production and services with organic amendments. Graphical Abstract

1 September 2021 in Journal of Environmental Management
Verified
Journal Article
Closed access
SCSheng Cao
Sheng Cao
YZYuzhou Zhou
Yuzhou Zhou
Yaoyu ZhouYaoyu Zhou
Yaoyu Zhou
XZXuan Zhou
Xuan Zhou
WZWeijun Zhou
Weijun Zhou

4 January 2021 in Nutrient Cycling in Agroecosystems
Verified
Journal Article
Open access
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CTChang Tian
Chang Tian
XZXuan Zhou
Xuan Zhou
ZDZheli Ding
Zheli Ding
QLQiang Liu
Qiang Liu
GXGuixian Xie
Guixian Xie
MEMamdouh A. Eissa
Mamdouh A. Eissa
Controlled-release nitrogen fertilizer (CRNF) can effectively enhance crop yields and raise the efficiency of nitrogen fertilizer in agroecosystems. In the present study, the volatilization of NH3was determined by airflow enclosure chamber technique after the application of different CRNF rates in double-cropping rice fields in southern China for continuous 3 years. The early and late season rice (ESR and LSR) were cultivated each year. The results showed that the total NH3volatilization losses ranged from 25 to 56 kg N ha−1in ESR and from 32 to 61 kg N ha−1in LSR. The loss of N to the total applied N ranged from 12 to 29% in ESR and from 12 to 27% in LSR. The application of CRNF significantly reduced the cumulative NH3volatilization losses by 20–43% for ESR and by 20–32% for LSR compared with conventional urea application. CRNF in LSR was less effective to reduce NH3volatilization than that in ESR. Furthermore, the application of 80% of N rate in the form of CRNF gave higher grain yield and apparent nitrogen recovery efficiency (ANRE) than that of application of 100% of N rate from conventional urea. CRNF can effectively reduce NH3volatilization, and increase rice yield and ANRE. Considering higher price of CRNF, the application of CRNF at lower (20% applied N) rate than conventional urea in LSR may be a reasonable fertilization strategy for improving N use efficiency, environment effectiveness, and sustaining the development of rice production systems in double-cropping rice.

22 July 2022 in Nutrient Cycling in Agroecosystems
Verified
Journal Article
Closed access
PDF file
XZXuemei Zhong
Xuemei Zhong
XZXuan Zhou
Xuan Zhou
JFJiangchi Fei
Jiangchi Fei
YWYuanfan Wu
Yuanfan Wu
RCRuliang Cao
Ruliang Cao
JPJianwei Peng
Jianwei Peng

14 September 2024 in Horticulturae
Verified
Journal Article
Open access
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SCSheng Cao
Sheng Cao
BZBin Zeng
Bin Zeng
XZXuan Zhou
Xuan Zhou
SDSufeng Deng
Sufeng Deng
WZWen Zhang
Wen Zhang
SYShuizhi Yang
Shuizhi Yang
Citrus trees require a balanced and adequate supply of macronutrient and micronutrient elements for high yield and fruit quality. Foliar nutrient analysis has been widely used in fruit-tree nutrient diagnosis and fertilization calculation. However, there is no information on ways to produce optimal fruit quality in sweet oranges. In the present study, fruit and leaf samples were collected from 120 ‘Bingtang’ sweet orange [Citrus sinensis (L.) Osbeck] orchards during four consecutive years (2019–2022). Parameters of leaf nutrition and fruit quality were analyzed based on these samples. Diagnostic results based on leaf classification standards indicated that the most deficient elements were Ca, Mg, and B, followed by N and Zn. Fruit quality, determined by single fruit weight (SFW), fruit shape index (FSI), total soluble solids (TSS), titratable acidity (TA), vitamin C (Vc), and maturation index (MI = TSS/TA) during fruit maturation, exhibited inconsistent responses to leaf mineral nutrition concentrations. The leaf-nutrient optimum values for high quality of the ‘Bingtang’ sweet orange fruit were ranges of 2.41–4.92% N, 0.10–0.28% P, 1.30–2.11% K, 2.99% Ca, 0.26–0.41% Mg, 340–640 mg/kg S, 89.65–127.46 mg/kg Fe, 13.48–51.93 mg/kg Mn, 2.60–13.84 mg/kg Cu, 15.59–51.48 mg/kg Zn, and 53.95 mg/kg for B. These results suggest the leaf-nutrient optimum values for diagnosis can be used not only to identify the nutrient constraints but also to provide guidance for the establishment of fertilization regimes in citrus cultivation.