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Manipulating the soil microbiome to increase plant health and productivity

dc.contributor.authorChaparro, Jacqueline Michelle, author
dc.contributor.authorVivanco, Jorge M., advisor
dc.contributor.authorLeach, Jan E., committee member
dc.contributor.authorManter, Daniel K., committee member
dc.contributor.authorWallner, Stephen J., committee member
dc.date.accessioned2015-08-27T03:57:03Z
dc.date.available2016-06-03T03:56:54Z
dc.date.issued2015
dc.descriptionZip file contains supplementary materials.
dc.description.abstractRhizosphere microbial communities offer immense benefits to plants. The rhizomicrobiome has the ability to help combat numerous biotic and abiotic stresses as well as increase plant health and productivity. In a world where the population keeps increasing at an alarming rate while food is scarce, new alternatives to feed the growing population need to be identified. The answer lies in harnessing and exploiting the beneficial interactions between plants and their rhizosphere microbiome to increase plant health and productivity. An understanding of the mechanisms that govern such interactions is essential to increase plant health and productivity. Based on this need, an analysis of the interactions between Arabidopsis thaliana and its rhizosphere microbial community was undertaken. Initial studies revealed that root exudates serve as a means of initiating, attracting, maintaining, and enhancing rhizosphere microbial community interactions. Furthermore, root exudation changes with development and leads to changes in the functional capacity and the members that make up the rhizosphere microbial community. These changes appear to occur so the plant can recruit specific functions necessary for survival. Once a framework outlining the importance of root exudation on plant-microbiome interactions was established, compounds from root exudates were added to soil, without the plant, and tested its impact on the soil microbiome. Studies revealed that these compounds when acting alone do in fact influence the soil microbiome and that distinct chemical classes have a direct influence on the soil microbial community. Most importantly, correlation analysis of microbes and the phytochemicals added to the soil revealed that phenolic compounds appear to predominantly modulate the soil microbial community. Finally, the knowledge acquired from these studies allowed development of statistical models that could predict the specific influence of root exudate compounds on the soil microbiome. Five statistical models were implemented, tested, and validated. These results identified models based on machine learning to be of great value in their ability to accurately predict the behavior of soil microbial community abundance after exposure to specific compounds. Overall, the results of this dissertation enable the ability to begin to modulate and manipulate the soil microbial community for increased plant health and productivity.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.format.mediumZIP
dc.format.mediumXLSX
dc.format.mediumPDF
dc.identifier.urihttp://hdl.handle.net/10217/166921
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleManipulating the soil microbiome to increase plant health and productivity
dc.typeText
dcterms.embargo.expires2016-06-03
dcterms.embargo.terms2016-06-03
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineHorticulture and Landscape Architecture
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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