Yu-Pei Chen1,2, Chia-Fang Tsai3, P D Rekha4, Sudeep D Ghate4, Hsi-Yuan Huang5, Yi-Han Hsu3, Li-Ling Liaw6, Chiu-Chung Young7,8. 1. Department of Public Health and Medical Technology, Xiamen Medical College, Xiamen, 361023, Fujian, China. 2. Engineering Research Center of Natural Cosmeceuticals College of Fujian Province, Xiamen Medical College, Xiamen, 361023, Fujian, China. 3. Department of Soil and Environmental Sciences, National Chung Hsing University, Taichung, 40227, Taiwan. 4. Yenepoya Research Centre, Yenepoya University, Mangalore, Karnataka, India. 5. School of Life and Health Sciences and Warshel Institute for Computational Biology, Chinese University of Hong Kong, Shenzhen, 518172, Guangdong,, China. 6. Food Industry Research and Development Institute, Bioresource Collection and Research Center, HsinChu, 300, Taiwan. 7. Department of Soil and Environmental Sciences, National Chung Hsing University, Taichung, 40227, Taiwan. ccyoung@mail.nchu.edu.tw. 8. Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung, 40227, Taiwan. ccyoung@mail.nchu.edu.tw.
Abstract
BACKGROUND: The soil quality and health of the tea plantations are dependent on agriculture management practices, and long-term chemical fertilizer use is implicated in soil decline. Hence, several sustainable practices are used to improve and maintain the soil quality. Here, in this study, changes in soil properties, enzymatic activity, and dysbiosis in bacterial community composition were compared using three agricultural management practices, namely conventional (CA), sustainable (SA), and transformational agriculture (TA) in the tea plantation during 2016 and 2017 period. Soil samples at two-months intervals were collected and analyzed. RESULTS: The results of the enzyme activities revealed that acid phosphatase, arylsulfatase, β-glucosidase, and urease activities differed considerably among the soils representing the three management practices. Combining the redundancy and multiple regression analysis, the change in the arylsulfatase activity was explained by soil pH as a significant predictor in the SA soils. The soil bacterial community was predominated by the phyla Proteobacteria, Acidobacteria, Actinobacteria, Chloroflexi, and Bacteroidetes in the soil throughout the sampling period. Higher Alpha diversity scores indicated increased bacterial abundance and diversity in the SA soils. A significant relationship between bacterial richness indices (SOBS, Chao and ACE) and soil pH, K and, P was observed in the SA soils. The diversity indices namely Shannon and Simpson also showed variations, suggesting the shift in the diversity of less abundant and more common species. Furthermore, the agricultural management practices, soil pH fluctuation, and the extractable elements had a greater influence on bacterial structure than that of temporal change. CONCLUSIONS: Based on the cross-over analysis of the bacterial composition, enzymatic activity, and soil properties, the relationship between bacterial composition and biologically-driven ecological processes can be identified as indicators of sustainability for the tea plantation.
pan class="abstract_title">BACKGROUND: The soil quality and health of the tea class="Chemical">planclass="Chemical">pan class="Chemical">tations are dependent on agriculture management practices, and long-term chemical fertilizer use is implicated in soil decline. Hence, several sustainable practices are used to improve and maintain the soil quality. Here, in this study, changes in soil properties, enzymatic activity, and dysbiosis in bacterial community composition were compared using three agricultural management practices, namely conventional (CA), sustainable (SA), and transformational agriculture (TA) in the tea plantation during 2016 and 2017 period. Soil samples at two-months intervals were collected and analyzed. RESULTS: The results of the enzyme activities revealed that acid phosphatase, arylsulfatase, β-glucosidase, and urease activities differed considerably among the soils representing the three management practices. Combining the redundancy and multiple regression analysis, the change in the arylsulfatase activity was explained by soil pH as a significant predictor in the SA soils. The soil bacterial community was predominated by the phyla Proteobacteria, Acidobacteria, Actinobacteria, Chloroflexi, and Bacteroidetes in the soil throughout the sampling period. Higher Alpha diversity scores indicated increased bacterial abundance and diversity in the SA soils. A significant relationship between bacterial richness indices (SOBS, Chao and ACE) and soil pH, K and, P was observed in the SA soils. The diversity indices namely Shannon and Simpson also showed variations, suggesting the shift in the diversity of less abundant and more common species. Furthermore, the agricultural management practices, soil pH fluctuation, and the extractable elements had a greater influence on bacterial structure than that of temporal change. CONCLUSIONS: Based on the cross-over analysis of the bacterial composition, enzymatic activity, and soil properties, the relationship between bacterial composition and biologically-driven ecological processes can be identified as indicators of sustainability for the tea plantation.
Authors: Carlos García-Delgado; Víctor Barba-Vicente; Jesús M Marín-Benito; J Mariano Igual; María J Sánchez-Martín; M Sonia Rodríguez-Cruz Journal: Sci Total Environ Date: 2018-07-30 Impact factor: 7.963
Authors: Helen L Hayden; Pauline M Mele; Damian S Bougoure; Claire Y Allan; Sorn Norng; Yvette M Piceno; Eoin L Brodie; Todd Z Desantis; Gary L Andersen; Amity L Williams; Mark J Hovenden Journal: Environ Microbiol Date: 2012-10-08 Impact factor: 5.491
Authors: James R Cole; Qiong Wang; Jordan A Fish; Benli Chai; Donna M McGarrell; Yanni Sun; C Titus Brown; Andrea Porras-Alfaro; Cheryl R Kuske; James M Tiedje Journal: Nucleic Acids Res Date: 2013-11-27 Impact factor: 16.971