Modelling the development of herbicide resistance
A population dynamic and genetic model was used to simulate the genetic evolution in an Apera spica-venti (L.) P. Beauv. population. The basis of the model is a life cycle of an annual weed population which is divided into five development stages. These are the seed bank, the seedlings, young plants...
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| Format: | Article |
| Language: | deu |
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Julius Kühn-Institut
2012-03-01
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| Series: | Julius-Kühn-Archiv |
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| _version_ | 1811203045939216384 |
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| author | Rummland, Janin Kerlen, Dirk Nordmeyer, Henning Richter, Otto |
| author_facet | Rummland, Janin Kerlen, Dirk Nordmeyer, Henning Richter, Otto |
| author_sort | Rummland, Janin |
| collection | DOAJ |
| description | A population dynamic and genetic model was used to simulate the genetic evolution in an Apera spica-venti (L.) P. Beauv. population. The basis of the model is a life cycle of an annual weed population which is divided into five development stages. These are the seed bank, the seedlings, young plants, the seed producing plants and the produced seeds. The stages are linked through transition probabilities. The interaction between resistant and susceptible genotypes is mediated by a genetic submodel. The model supports the development of management strategies to prevent, reduce or at least retard the development of resistance. Through an embedment into a cellular automaton the dispersal of genetic information is simulated at field scale. Three simulations with different herbicide treatments are compared regarding the resistance evolution. |
| first_indexed | 2024-04-12T02:48:37Z |
| format | Article |
| id | doaj.art-6cdfac4b9ede4e11ab83685739af7c8f |
| institution | Directory Open Access Journal |
| issn | 1868-9892 |
| language | deu |
| last_indexed | 2024-04-12T02:48:37Z |
| publishDate | 2012-03-01 |
| publisher | Julius Kühn-Institut |
| record_format | Article |
| series | Julius-Kühn-Archiv |
| spelling | doaj.art-6cdfac4b9ede4e11ab83685739af7c8f2022-12-22T03:51:04ZdeuJulius Kühn-InstitutJulius-Kühn-Archiv1868-98922012-03-0143414915410.5073/jka.2012.434.017Modelling the development of herbicide resistanceRummland, JaninKerlen, DirkNordmeyer, HenningRichter, OttoA population dynamic and genetic model was used to simulate the genetic evolution in an Apera spica-venti (L.) P. Beauv. population. The basis of the model is a life cycle of an annual weed population which is divided into five development stages. These are the seed bank, the seedlings, young plants, the seed producing plants and the produced seeds. The stages are linked through transition probabilities. The interaction between resistant and susceptible genotypes is mediated by a genetic submodel. The model supports the development of management strategies to prevent, reduce or at least retard the development of resistance. Through an embedment into a cellular automaton the dispersal of genetic information is simulated at field scale. Three simulations with different herbicide treatments are compared regarding the resistance evolution.Apera spica-ventiEvolutiongenetisches ModellPopulationsdynamikResistenzmanagementzellularer Automatcellular automatonevolutiongenetic modelpopulation dynamicsresistance management |
| spellingShingle | Rummland, Janin Kerlen, Dirk Nordmeyer, Henning Richter, Otto Modelling the development of herbicide resistance Julius-Kühn-Archiv Apera spica-venti Evolution genetisches Modell Populationsdynamik Resistenzmanagement zellularer Automat cellular automaton evolution genetic model population dynamics resistance management |
| title | Modelling the development of herbicide resistance |
| title_full | Modelling the development of herbicide resistance |
| title_fullStr | Modelling the development of herbicide resistance |
| title_full_unstemmed | Modelling the development of herbicide resistance |
| title_short | Modelling the development of herbicide resistance |
| title_sort | modelling the development of herbicide resistance |
| topic | Apera spica-venti Evolution genetisches Modell Populationsdynamik Resistenzmanagement zellularer Automat cellular automaton evolution genetic model population dynamics resistance management |
| work_keys_str_mv | AT rummlandjanin modellingthedevelopmentofherbicideresistance AT kerlendirk modellingthedevelopmentofherbicideresistance AT nordmeyerhenning modellingthedevelopmentofherbicideresistance AT richterotto modellingthedevelopmentofherbicideresistance |