Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

Microbial communities of apple orchard soils receiving long-term copper fungicides

Authors
Wang Quanying, Zhou Dongmei
Corresponding Author
Wang Quanying
Available Online August 2013.
DOI
10.2991/rsete.2013.17How to use a DOI?
Keywords
Apple orchard soil, copper fungicides, profiling of phospholipid fatty acids
Abstract

The aim of this study was to investigate the effect of long-term application of Cu-based fungicides on soil microbial communities using profiling of phospholipid fatty acids (PLFAs). The results showed that the total PLFA, Gram-positive bacteria, Gram-negative bacteria, fungal PLFA contents, and fungi/bacteria ratio varied among the orchard soils with different planting-time. Stepwise regression analysis between PC1 and PC2 scores for PLFA data and soil properties showed that the change of PC2 was mainly due to the available soil K (r = 0.84, p < 0.05), which suggested that soil fertilization could reduce the negative effects of Cu to the soil environment.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-77-2
ISSN
1951-6851
DOI
10.2991/rsete.2013.17How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wang Quanying
AU  - Zhou Dongmei
PY  - 2013/08
DA  - 2013/08
TI  - Microbial communities of apple orchard soils receiving long-term copper fungicides
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 66
EP  - 69
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.17
DO  - 10.2991/rsete.2013.17
ID  - Quanying2013/08
ER  -