Partitioning the spatial and environmental variation of Sclerotinia stem rot on soybean

The variance in survival of Sclerotinia sclerotiorum's sclerotia, carpogenic germination (apothecia) as well as Sclerotinia stem rot (SSR) severity (Disease Severity Index (DSI)) on soybean was partitioned among canopy, soil physico-chemistry and microbiology, cultural practices (2 or 3-y-corn...

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Veröffentlicht in:Soil biology & biochemistry 2006-12, Vol.38 (12), p.3343-3358
Hauptverfasser: Rousseau, Guillaume X., Rioux, Sylvie, Dostaler, Daniel
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creator Rousseau, Guillaume X.
Rioux, Sylvie
Dostaler, Daniel
description The variance in survival of Sclerotinia sclerotiorum's sclerotia, carpogenic germination (apothecia) as well as Sclerotinia stem rot (SSR) severity (Disease Severity Index (DSI)) on soybean was partitioned among canopy, soil physico-chemistry and microbiology, cultural practices (2 or 3-y-corn rotation/soybean monoculture and mineral fertilization/urban compost), and spatial matrices in two soils. Partial multiple regression was used to partition the individual SSR variables variance while partial canonical redundancy analysis partitioned the DSI–apothecia and apothecia–survival variance. In clay loam, the sclerotial survival and apothecia variance were mainly explained by the spatial structure of soil physico-chemistry while the DSI did not share this spatial structure and was largely explained by the effects of 3-y-corn rotation on canopy and soil, i.e. lower weed biomass, enhanced soybean yield and fewer apothecia were correlated with disease suppressiveness. In sandy loam, the DSI variance was mostly explained by the spatial structure of canopy and physico-chemistry. Disease suppressiveness, by the interaction of 3-y-corn rotation with urban compost, was largely explained by the enhancement of soil properties, i.e. higher aggregate stability, microbial activity and soil solution concentration in exchangeable ions correlated negatively with carpogenic germination. Partitioning the SSR variance among four matrices of spatial and environmental factors allowed for the first time to interpret and quantify the variance of disease development explained by cultural practices in interaction with the main characteristics of this agroecosystem.
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Partial multiple regression was used to partition the individual SSR variables variance while partial canonical redundancy analysis partitioned the DSI–apothecia and apothecia–survival variance. In clay loam, the sclerotial survival and apothecia variance were mainly explained by the spatial structure of soil physico-chemistry while the DSI did not share this spatial structure and was largely explained by the effects of 3-y-corn rotation on canopy and soil, i.e. lower weed biomass, enhanced soybean yield and fewer apothecia were correlated with disease suppressiveness. In sandy loam, the DSI variance was mostly explained by the spatial structure of canopy and physico-chemistry. Disease suppressiveness, by the interaction of 3-y-corn rotation with urban compost, was largely explained by the enhancement of soil properties, i.e. higher aggregate stability, microbial activity and soil solution concentration in exchangeable ions correlated negatively with carpogenic germination. 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Psychology</subject><subject>germination</subject><subject>Glycine max</subject><subject>leaf area index</subject><subject>microbial activity</subject><subject>mineralization</subject><subject>Physics, chemistry, biochemistry and biology of agricultural and forest soils</subject><subject>Plant canopy</subject><subject>plant pathogenic fungi</subject><subject>sandy loam soils</subject><subject>Sclerotinia</subject><subject>Sclerotinia sclerotiorum</subject><subject>soil bacteria</subject><subject>soil chemical properties</subject><subject>Soil microbiology</subject><subject>soil physical properties</subject><subject>Soil science</subject><subject>Soybean</subject><subject>soybeans</subject><subject>spatial variation</subject><subject>statistical analysis</subject><subject>statistical models</subject><subject>stem rot</subject><subject>Variance partitioning</subject><subject>viability</subject><subject>weeds</subject><subject>Zea mays</subject><issn>0038-0717</issn><issn>1879-3428</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqFkEuLFDEQgIMoOK7-BDEXvXVbSTrd6ZPI4gsWFNbFY6hOV68ZepIxyQ7svzfNDHj0kiJVXz34GHstoBUg-vf7Nke_Tj62EqBvoWtByydsJ8wwNqqT5inbASjTwCCG5-xFznsAkFqoHfv1A1Pxxcfgwz0vv4nnIxaPK8cwcwonn2I4UCg1c8LkcUN5XPitWynF4oNHngsdeP3wWsrxcSIML9mzBddMry7xit19_vTz-mtz8_3Lt-uPN41TY1eaiUgaHKdBgun15Lpe6XGgvlsk9FppM6pZE4rF1MwEcpjmSWo1w1jPXyaprti789xjin8eKBd78NnRumKg-JCtGE2nBtFVUJ9Bl2LOiRZ7TP6A6dEKsJtGu7cXjXbTaKGzVWPte3tZgNnhuiQMzud_zUYqqc02_82ZWzBavE-VubuVIBQIUR-5ER_OBFUfJ0_JZucpOJp9IlfsHP1_bvkLgGKVBg</recordid><startdate>20061201</startdate><enddate>20061201</enddate><creator>Rousseau, Guillaume X.</creator><creator>Rioux, Sylvie</creator><creator>Dostaler, Daniel</creator><general>Elsevier Ltd</general><general>Elsevier Science</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7U6</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope></search><sort><creationdate>20061201</creationdate><title>Partitioning the spatial and environmental variation of Sclerotinia stem rot on soybean</title><author>Rousseau, Guillaume X. ; Rioux, Sylvie ; Dostaler, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-bee28a9b720865bc463597e64f206535893d5ea1f84f2b027bdb253d09251fb23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biochemistry and biology</topic><topic>Biological and medical sciences</topic><topic>Canonical redundancy analysis (partial)</topic><topic>canopy</topic><topic>Chemical, physicochemical, biochemical and biological properties</topic><topic>clay loam soils</topic><topic>composts</topic><topic>continuous cropping</topic><topic>corn</topic><topic>crop rotation</topic><topic>Cropping practices</topic><topic>disease severity</topic><topic>environmental factors</topic><topic>fertilizer application</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>germination</topic><topic>Glycine max</topic><topic>leaf area index</topic><topic>microbial activity</topic><topic>mineralization</topic><topic>Physics, chemistry, biochemistry and biology of agricultural and forest soils</topic><topic>Plant canopy</topic><topic>plant pathogenic fungi</topic><topic>sandy loam soils</topic><topic>Sclerotinia</topic><topic>Sclerotinia sclerotiorum</topic><topic>soil bacteria</topic><topic>soil chemical properties</topic><topic>Soil microbiology</topic><topic>soil physical properties</topic><topic>Soil science</topic><topic>Soybean</topic><topic>soybeans</topic><topic>spatial variation</topic><topic>statistical analysis</topic><topic>statistical models</topic><topic>stem rot</topic><topic>Variance partitioning</topic><topic>viability</topic><topic>weeds</topic><topic>Zea mays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rousseau, Guillaume X.</creatorcontrib><creatorcontrib>Rioux, Sylvie</creatorcontrib><creatorcontrib>Dostaler, Daniel</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Sustainability Science Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Soil biology &amp; biochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rousseau, Guillaume X.</au><au>Rioux, Sylvie</au><au>Dostaler, Daniel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Partitioning the spatial and environmental variation of Sclerotinia stem rot on soybean</atitle><jtitle>Soil biology &amp; biochemistry</jtitle><date>2006-12-01</date><risdate>2006</risdate><volume>38</volume><issue>12</issue><spage>3343</spage><epage>3358</epage><pages>3343-3358</pages><issn>0038-0717</issn><eissn>1879-3428</eissn><coden>SBIOAH</coden><abstract>The variance in survival of Sclerotinia sclerotiorum's sclerotia, carpogenic germination (apothecia) as well as Sclerotinia stem rot (SSR) severity (Disease Severity Index (DSI)) on soybean was partitioned among canopy, soil physico-chemistry and microbiology, cultural practices (2 or 3-y-corn rotation/soybean monoculture and mineral fertilization/urban compost), and spatial matrices in two soils. Partial multiple regression was used to partition the individual SSR variables variance while partial canonical redundancy analysis partitioned the DSI–apothecia and apothecia–survival variance. In clay loam, the sclerotial survival and apothecia variance were mainly explained by the spatial structure of soil physico-chemistry while the DSI did not share this spatial structure and was largely explained by the effects of 3-y-corn rotation on canopy and soil, i.e. lower weed biomass, enhanced soybean yield and fewer apothecia were correlated with disease suppressiveness. In sandy loam, the DSI variance was mostly explained by the spatial structure of canopy and physico-chemistry. Disease suppressiveness, by the interaction of 3-y-corn rotation with urban compost, was largely explained by the enhancement of soil properties, i.e. higher aggregate stability, microbial activity and soil solution concentration in exchangeable ions correlated negatively with carpogenic germination. 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subjects Agronomy. Soil science and plant productions
Biochemistry and biology
Biological and medical sciences
Canonical redundancy analysis (partial)
canopy
Chemical, physicochemical, biochemical and biological properties
clay loam soils
composts
continuous cropping
corn
crop rotation
Cropping practices
disease severity
environmental factors
fertilizer application
Fundamental and applied biological sciences. Psychology
germination
Glycine max
leaf area index
microbial activity
mineralization
Physics, chemistry, biochemistry and biology of agricultural and forest soils
Plant canopy
plant pathogenic fungi
sandy loam soils
Sclerotinia
Sclerotinia sclerotiorum
soil bacteria
soil chemical properties
Soil microbiology
soil physical properties
Soil science
Soybean
soybeans
spatial variation
statistical analysis
statistical models
stem rot
Variance partitioning
viability
weeds
Zea mays
title Partitioning the spatial and environmental variation of Sclerotinia stem rot on soybean
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