Microbial Community Structure in Disease-Suppressive Soils as Revealed by Metabarcoding
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Microbial Community Structure in Disease-Suppressive Soils as Revealed by Metabarcoding
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Identifier |
https://doi.org/10.7910/DVN/1JQXYE
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Creator |
López-Alvarez, Diana
Pardo, Juan M. Leiva, Ana M. Alvarez, Elizabeth Ceballos, German Cuellar, Wilmer |
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Publisher |
Harvard Dataverse
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Description |
Plant diseases caused by soil-borne bacterial pathogens result in significant yield losses and these pathogens are the most difficult to control due to their persistence in debris and soil. Enhancement of soil-natural disease suppression could be an effective option to control these diseases through soil management practices. The suppression of soil-borne diseases of soil microbial bacteria and fungi communities was analyzed in soils suppressive and non-suppressive for Moko disease caused by Ralstonia solanacearum in Quindío, Colombia, using bacterial tag-encoded FLX titanium amplicon pyrosequencing (bTEFAP) targeting 16Sr RNA and ITS genes.
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Subject |
Agricultural Sciences
soil bacteria control diseases Latin America and the Caribbean Biodiversity for Food and Agriculture Plant Protection CGIAR Research Program on Roots, Tubers and Bananas |
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Date |
2021-11-24
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Contributor |
Cruz Arias, Paola Andrea
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Type |
Observation Data
Geographic Data |
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