Presentation 2013/6/20
Elucidating soil microbial communities in agricultural soils
YUDAI SUZUKI, KAZUNARI YOKOYAMA, NAOMI SAKURAMOTO, Y-H. TAGUCHI,
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Abstract(in English) Soil microbiological biodiversity has recently been shown to be causally related to soil diseases. In this study, we attempted to elucidate soil microbiological interactions by numerically analyzing the carbon-resource consumption rates in soils provided by a number of domestic companies and research institutes.
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Keyword(in English) soil microbiology / soil disease / Markov Chain Monte Carlo / Bayesian Inference / biodiversity / Lotka-Volterra model
Paper # Vol.2013-BIO-34 No.5
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Committee NC
Conference Date 2013/6/20(1days)
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Registration To Neurocomputing (NC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Elucidating soil microbial communities in agricultural soils
Sub Title (in English)
Keyword(1) soil microbiology
Keyword(2) soil disease
Keyword(3) Markov Chain Monte Carlo
Keyword(4) Bayesian Inference
Keyword(5) biodiversity
Keyword(6) Lotka-Volterra model
1st Author's Name YUDAI SUZUKI
1st Author's Affiliation Department of Physics, Chuo University()
2nd Author's Name KAZUNARI YOKOYAMA
2nd Author's Affiliation Division of Agricultural Systems and Information Technology, National Agriculture and Food Research Organization
3rd Author's Name NAOMI SAKURAMOTO
3rd Author's Affiliation DGC Technology Inc.
4th Author's Name Y-H. TAGUCHI
4th Author's Affiliation Department of Physics, Chuo University
Date 2013/6/20
Paper # Vol.2013-BIO-34 No.5
Volume (vol) vol.113
Number (no) 111
Page pp.pp.-
#Pages 2
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