Effects of Pruning on Growth, Rhizosphere Soil Physicochemical Indexes and Bacterial Community Structure of Tea Tree and Their Interaction

Qi Zhang, Yuhua Wang, Yiling Chen, Ying Zhang, Meihui Chen, Jishuang Zou, Pengyao Miao, Jianghua Ye, Xiaomin Pang, Xiaoli Jia and Haibin Wang ()
Additional contact information
Qi Zhang: College of Tea and Food Science, Wuyi University, Wuyishan 354300, China
Yuhua Wang: College of JunCao Science and Ecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Yiling Chen: College of Life Science, Longyan University, Longyan 364012, China
Ying Zhang: College of Tea and Food Science, Wuyi University, Wuyishan 354300, China
Meihui Chen: College of Tea and Food Science, Wuyi University, Wuyishan 354300, China
Jishuang Zou: College of Tea and Food Science, Wuyi University, Wuyishan 354300, China
Pengyao Miao: College of Tea and Food Science, Wuyi University, Wuyishan 354300, China
Jianghua Ye: College of Tea and Food Science, Wuyi University, Wuyishan 354300, China
Xiaomin Pang: College of Tea and Food Science, Wuyi University, Wuyishan 354300, China
Xiaoli Jia: College of Tea and Food Science, Wuyi University, Wuyishan 354300, China
Haibin Wang: College of Tea and Food Science, Wuyi University, Wuyishan 354300, China

Agriculture, 2023, vol. 13, issue 10, 1-13

Abstract: Pruning is an agronomic practice that contributes to tea tree yield during cultivation, but little is known about how pruning improves yield through shifting bacterial communities in rhizosphere soil. Therefore, Meizhan tea ( Camellia sinensis ) was used as the research object to analyze the effect of unpruning and pruning on the growth and rhizosphere soil physicochemical indexes of the tea tree, and sequencing technology was used to obtain the diversity of soil bacterial communities. The results showed that leaf area, hundred bud weight and yield of pruned tea trees increased by 1.32, 1.40, and 1.84 times, respectively, and pH and available N, available P, and available K contents increased by 1.10, 1.07, 1.30, and 1.07 times, respectively, compared with unpruned treatment, while total N, total P, and total K contents decreased by 1.20, 1.37, and 1.13 times, respectively. Analysis of the bacterial community structure showed that the key differential bacteria between pruned and unpruned tea trees were Candidatus Solibacter , Acidibacter , Rhizomicrobium , Bryobacter , Solanum torvum , Mizugakiibacter , Nitrospira , Sphingomonas , and Granulicella . Among them, the bacterial abundance of Candidatus Solibacter , Bryobacter , and Nitrospira showed an upward trend and the rest showed a downward trend after pruned treatment. Interaction network analysis showed that the correlation between the total key genera of microorganisms and organic matter, total N, total K, and total P content in rhizosphere soil did not reach a significant level, whereas the correlation with soil available N, available K, available P, pH, and tea tree growth indexes were all positively and significantly correlated. It can be seen that pruning changed the structure of the rhizosphere soil microbial community of tea trees, promoted soil nutrient transformation, increased the content of soil available nutrients, and promoted the growth of tea tree.

Keywords: Meizhan ( Camellia sinensis ); pruning; rhizosphere microorganism; soil nutrient cycling; physiological characteristics (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2077-0472/13/10/1972/pdf (application/pdf)
https://www.mdpi.com/2077-0472/13/10/1972/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:13:y:2023:i:10:p:1972-:d:1256807

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().