Use of a computer simulation model to evaluate a plant disease biocontrol agent
A computer simulation model (INHIBSIM) was developed to predict population dynamics of a bacterial biological control agent ( Pseudomonas fluorescens) on the foliage of red pine ( Pinus resinosa) seedlings, and subsequent effects on conidial germination of a fungal plant pathogen ( Gremmeniella abie...
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| Veröffentlicht in: | Ecological modelling 1987, Vol.35 (1), p.45-62 |
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| container_title | Ecological modelling |
| container_volume | 35 |
| creator | Knudsen, Guy R. Hudler, George W. |
| description | A computer simulation model (INHIBSIM) was developed to predict population dynamics of a bacterial biological control agent (
Pseudomonas fluorescens) on the foliage of red pine (
Pinus resinosa) seedlings, and subsequent effects on conidial germination of a fungal plant pathogen (
Gremmeniella abietina). The model was tested under controlled-environment and field conditions. Recoverable populations of bacteria were extremely sensitive to leaf wetness but relatively insensitive to temperature. Germination of conidia was insensitive to small variations in bacterial concentration. Successful biological control of foliar plant pathogens using bacterial antagonists will require identification of agents that do not require dense concentrations to be effective and development of techniques (formulation, environmental manipulation) to enhance their survival. Predictive population models can identify and quantify these requirements, and reduce the costs of evaluating and developing potential biocontrol agents. |
| doi_str_mv | 10.1016/0304-3800(87)90090-1 |
| format | Article |
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Pseudomonas fluorescens) on the foliage of red pine (
Pinus resinosa) seedlings, and subsequent effects on conidial germination of a fungal plant pathogen (
Gremmeniella abietina). The model was tested under controlled-environment and field conditions. Recoverable populations of bacteria were extremely sensitive to leaf wetness but relatively insensitive to temperature. Germination of conidia was insensitive to small variations in bacterial concentration. Successful biological control of foliar plant pathogens using bacterial antagonists will require identification of agents that do not require dense concentrations to be effective and development of techniques (formulation, environmental manipulation) to enhance their survival. Predictive population models can identify and quantify these requirements, and reduce the costs of evaluating and developing potential biocontrol agents.</description><identifier>ISSN: 0304-3800</identifier><identifier>EISSN: 1872-7026</identifier><identifier>DOI: 10.1016/0304-3800(87)90090-1</identifier><identifier>CODEN: ECMODT</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; Biological control ; Biometrics, statistics, experimental designs, modeling, agricultural computer applications ; botany ; Control ; Fundamental and applied biological sciences. Psychology ; Fungal plant pathogens ; Generalities. Biometrics, experimentation. Remote sensing ; Gremmeniella abietina ; INHIBSIM ; mathematical models ; pathogens ; pest control ; Phytopathology. Animal pests. Plant and forest protection ; Pinus resinosa ; population dynamics ; Pseudomonas fluorescens</subject><ispartof>Ecological modelling, 1987, Vol.35 (1), p.45-62</ispartof><rights>1987</rights><rights>1988 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-b509ba7b576e50a80cf84fc825180333f87fcab738c73420605b8b659d302cba3</citedby><cites>FETCH-LOGICAL-c397t-b509ba7b576e50a80cf84fc825180333f87fcab738c73420605b8b659d302cba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/0304-3800(87)90090-1$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=7447108$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Knudsen, Guy R.</creatorcontrib><creatorcontrib>Hudler, George W.</creatorcontrib><title>Use of a computer simulation model to evaluate a plant disease biocontrol agent</title><title>Ecological modelling</title><description>A computer simulation model (INHIBSIM) was developed to predict population dynamics of a bacterial biological control agent (
Pseudomonas fluorescens) on the foliage of red pine (
Pinus resinosa) seedlings, and subsequent effects on conidial germination of a fungal plant pathogen (
Gremmeniella abietina). The model was tested under controlled-environment and field conditions. Recoverable populations of bacteria were extremely sensitive to leaf wetness but relatively insensitive to temperature. Germination of conidia was insensitive to small variations in bacterial concentration. Successful biological control of foliar plant pathogens using bacterial antagonists will require identification of agents that do not require dense concentrations to be effective and development of techniques (formulation, environmental manipulation) to enhance their survival. Predictive population models can identify and quantify these requirements, and reduce the costs of evaluating and developing potential biocontrol agents.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Biological control</subject><subject>Biometrics, statistics, experimental designs, modeling, agricultural computer applications</subject><subject>botany</subject><subject>Control</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Fungal plant pathogens</subject><subject>Generalities. Biometrics, experimentation. Remote sensing</subject><subject>Gremmeniella abietina</subject><subject>INHIBSIM</subject><subject>mathematical models</subject><subject>pathogens</subject><subject>pest control</subject><subject>Phytopathology. Animal pests. Plant and forest protection</subject><subject>Pinus resinosa</subject><subject>population dynamics</subject><subject>Pseudomonas fluorescens</subject><issn>0304-3800</issn><issn>1872-7026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1987</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLxDAUhYMoOD7-gYssRHRRvWnSJN0IIr5AcOOsQ5reSqRtxiQV_Pd2HJmlru7mO-dcPkJOGFwyYPIKOIiCa4BzrS5qgBoKtkMWTKuyUFDKXbLYIvvkIKV3AGClLhfkZZmQho5a6sKwmjJGmvww9Tb7MNIhtNjTHCh-2n6yGWdu1dsx09YntHO08cGFMcfQU_uGYz4ie53tEx7_3kOyvL97vX0snl8enm5vngvHa5WLpoK6saqplMQKrAbXadE5XVZMA-e806pztlFcO8VFCRKqRjeyqlsOpWssPyRnm95VDB8TpmwGnxz283MYpmRKIWUtufwXZEJWQmsxg2IDuhhSitiZVfSDjV-GgVlrNmuHZu3QaGV-NBs2x05_-21ytu-iHZ1P26wSQjHQM3a9wXCW8ukxmuQ8jg5bH9Fl0wb_9843jpWP0A</recordid><startdate>1987</startdate><enddate>1987</enddate><creator>Knudsen, Guy R.</creator><creator>Hudler, George W.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>7SC</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>1987</creationdate><title>Use of a computer simulation model to evaluate a plant disease biocontrol agent</title><author>Knudsen, Guy R. ; Hudler, George W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-b509ba7b576e50a80cf84fc825180333f87fcab738c73420605b8b659d302cba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1987</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Biological control</topic><topic>Biometrics, statistics, experimental designs, modeling, agricultural computer applications</topic><topic>botany</topic><topic>Control</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Fungal plant pathogens</topic><topic>Generalities. Biometrics, experimentation. Remote sensing</topic><topic>Gremmeniella abietina</topic><topic>INHIBSIM</topic><topic>mathematical models</topic><topic>pathogens</topic><topic>pest control</topic><topic>Phytopathology. Animal pests. Plant and forest protection</topic><topic>Pinus resinosa</topic><topic>population dynamics</topic><topic>Pseudomonas fluorescens</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Knudsen, Guy R.</creatorcontrib><creatorcontrib>Hudler, George W.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Ecological modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Knudsen, Guy R.</au><au>Hudler, George W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use of a computer simulation model to evaluate a plant disease biocontrol agent</atitle><jtitle>Ecological modelling</jtitle><date>1987</date><risdate>1987</risdate><volume>35</volume><issue>1</issue><spage>45</spage><epage>62</epage><pages>45-62</pages><issn>0304-3800</issn><eissn>1872-7026</eissn><coden>ECMODT</coden><abstract>A computer simulation model (INHIBSIM) was developed to predict population dynamics of a bacterial biological control agent (
Pseudomonas fluorescens) on the foliage of red pine (
Pinus resinosa) seedlings, and subsequent effects on conidial germination of a fungal plant pathogen (
Gremmeniella abietina). The model was tested under controlled-environment and field conditions. Recoverable populations of bacteria were extremely sensitive to leaf wetness but relatively insensitive to temperature. Germination of conidia was insensitive to small variations in bacterial concentration. Successful biological control of foliar plant pathogens using bacterial antagonists will require identification of agents that do not require dense concentrations to be effective and development of techniques (formulation, environmental manipulation) to enhance their survival. Predictive population models can identify and quantify these requirements, and reduce the costs of evaluating and developing potential biocontrol agents.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/0304-3800(87)90090-1</doi><tpages>18</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0304-3800 |
| ispartof | Ecological modelling, 1987, Vol.35 (1), p.45-62 |
| issn | 0304-3800 1872-7026 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_24669636 |
| source | Elsevier ScienceDirect Journals Complete |
| subjects | Agronomy. Soil science and plant productions Biological and medical sciences Biological control Biometrics, statistics, experimental designs, modeling, agricultural computer applications botany Control Fundamental and applied biological sciences. Psychology Fungal plant pathogens Generalities. Biometrics, experimentation. Remote sensing Gremmeniella abietina INHIBSIM mathematical models pathogens pest control Phytopathology. Animal pests. Plant and forest protection Pinus resinosa population dynamics Pseudomonas fluorescens |
| title | Use of a computer simulation model to evaluate a plant disease biocontrol agent |
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