The R Package PROSPER: An Environment for Modeling Weed Population Dynamics and the Evolution of Herbicide Resistance
Weed management is a challenge for farmers worldwide, and the problem is exacerbated by the spread of weed herbicide resistance. Simulation models that combine population dynamics and genetics are valuable tools for predicting the impact of competing management options on weed density, allele freque...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/10/7/958 |
| _version_ | 1797563333872713728 |
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| author | Christoph von Redwitz Friederike de Mol |
| author_facet | Christoph von Redwitz Friederike de Mol |
| author_sort | Christoph von Redwitz |
| collection | DOAJ |
| description | Weed management is a challenge for farmers worldwide, and the problem is exacerbated by the spread of weed herbicide resistance. Simulation models that combine population dynamics and genetics are valuable tools for predicting the impact of competing management options on weed density, allele frequency, and phenotypic resistance levels. The new R package PROSPER provides functions for the forward simulation of weed population dynamics on a field scale, the selection of individuals according to their sensitivity to herbicides, and the recombination of alleles during reproduction. Objects are provided to enter and save model parameters in a clear structure, and to save output data for further processing in R. The basic functions are extensible with R code. PROSPER combines individual-based population dynamics with monogenic or polygenic diploid inheritance and flexible selection pressure. Stochasticity can be included at all model steps. Two examples of the population dynamics of two annual weed species with herbicide resistance are presented. All parameters and the models are available in PROSPER. In addition to simulation, PROSPER is intended for sharing and publishing population dynamic parameters and models, which is easily done thanks to R. |
| first_indexed | 2024-03-10T18:41:09Z |
| format | Article |
| id | doaj.art-059857e7f06641689cba87218553bb21 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T18:41:09Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-059857e7f06641689cba87218553bb212023-11-20T05:47:42ZengMDPI AGAgronomy2073-43952020-07-0110795810.3390/agronomy10070958The R Package PROSPER: An Environment for Modeling Weed Population Dynamics and the Evolution of Herbicide ResistanceChristoph von Redwitz0Friederike de Mol1Faculty of Agricultural and Environmental Sciences, Crop Health, University of Rostock, Satower Strasse 48, D-18051 Rostock, GermanyFaculty of Agricultural and Environmental Sciences, Crop Health, University of Rostock, Satower Strasse 48, D-18051 Rostock, GermanyWeed management is a challenge for farmers worldwide, and the problem is exacerbated by the spread of weed herbicide resistance. Simulation models that combine population dynamics and genetics are valuable tools for predicting the impact of competing management options on weed density, allele frequency, and phenotypic resistance levels. The new R package PROSPER provides functions for the forward simulation of weed population dynamics on a field scale, the selection of individuals according to their sensitivity to herbicides, and the recombination of alleles during reproduction. Objects are provided to enter and save model parameters in a clear structure, and to save output data for further processing in R. The basic functions are extensible with R code. PROSPER combines individual-based population dynamics with monogenic or polygenic diploid inheritance and flexible selection pressure. Stochasticity can be included at all model steps. Two examples of the population dynamics of two annual weed species with herbicide resistance are presented. All parameters and the models are available in PROSPER. In addition to simulation, PROSPER is intended for sharing and publishing population dynamic parameters and models, which is easily done thanks to R.https://www.mdpi.com/2073-4395/10/7/958individual basedmetabolicpolygenicsimulationweed management |
| spellingShingle | Christoph von Redwitz Friederike de Mol The R Package PROSPER: An Environment for Modeling Weed Population Dynamics and the Evolution of Herbicide Resistance Agronomy individual based metabolic polygenic simulation weed management |
| title | The R Package PROSPER: An Environment for Modeling Weed Population Dynamics and the Evolution of Herbicide Resistance |
| title_full | The R Package PROSPER: An Environment for Modeling Weed Population Dynamics and the Evolution of Herbicide Resistance |
| title_fullStr | The R Package PROSPER: An Environment for Modeling Weed Population Dynamics and the Evolution of Herbicide Resistance |
| title_full_unstemmed | The R Package PROSPER: An Environment for Modeling Weed Population Dynamics and the Evolution of Herbicide Resistance |
| title_short | The R Package PROSPER: An Environment for Modeling Weed Population Dynamics and the Evolution of Herbicide Resistance |
| title_sort | r package prosper an environment for modeling weed population dynamics and the evolution of herbicide resistance |
| topic | individual based metabolic polygenic simulation weed management |
| url | https://www.mdpi.com/2073-4395/10/7/958 |
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