Multivariate effects of plant canopy, soil physico-chemistry and microbiology on Sclerotinia stem rot of soybean in relation to crop rotation and urban compost amendment |
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Authors: | Guillaume X. Rousseau Sylvie Rioux |
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Affiliation: | a EMBRAPA Amazônia Oriental, Laboratorio Integrado de Análise de Processos Biofisicos e Biogeoquímicos, Tv Enéas Pinheiro s/n, Marco, 66095-100 Belém, PA, Brazil b CEROM, Complexe scientifique, 2700, rue Einstein, Quebec City, Que., Canada G1P 3W8 c Département de Phytologie, Pavillon Paul-Comtois, Faculté des sciences de l’agriculture et de l’alimentation, Université Laval, Quebec City, Que., Canada G1K 7P4 |
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Abstract: | The effects of canopy, soil physico-chemical and microbiological variables on Sclerotinia stem rot (SSR) on soybean were assessed in two soils (clay loam and sandy loam) using multiple regression and canonical redundancy analysis (RDA) and their partial form to control for the rotation (2 or 3-y-corn/soybean monoculture) and fertilization (mineral/urban compost) or spatial variables effects. The models revealed the minimal sets of variables that best explain the variance of the survival of Sclerotinia sclerotiorum’s sclerotia, carpogenic germination, disease severity and their associations. In clay loam, the 3-y-corn rotation reduced disease severity mainly through the reduction of weed biomass that favoured carpogenic germination. Urban compost has a conducive effect explained by a better soil surface drainage. Additionally, total N was found suppressive to sclerotial survival. In sandy loam, the carpogenic germination was negatively correlated with high C mineralization quotient and aggregate stability but correlated positively with Ca. Sclerotial survival was negatively correlated with pH and Ca, and positively correlated with biological fertility index. Aggregate stability, Ca and pH were associated with the urban compost. The regression and RDA analyses allowed to identify key variables that drived SSR development and explain their relationship with the cultural practices, soil health, as well as the spatial variation of disease variables. |
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Keywords: | Sclerotinia stem rot Soybean Aggregates stability C mineralization Canonical redundancy analysis Microbial direct counts |
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