Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape Scale
The repeated application of herbicides has led to the development of herbicide resistance. Models are useful for identifying key processes and understanding the evolution of resistance. This study developed a spatially explicit model at a landscape scale to examine the dynamics of <i>Lolium ri...
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| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/14/12/2990 |
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| author | Lucia Gonzalez-Diaz Irene Gonzalez-Garcia Jose L. Gonzalez-Andujar |
| author_facet | Lucia Gonzalez-Diaz Irene Gonzalez-Garcia Jose L. Gonzalez-Andujar |
| author_sort | Lucia Gonzalez-Diaz |
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| description | The repeated application of herbicides has led to the development of herbicide resistance. Models are useful for identifying key processes and understanding the evolution of resistance. This study developed a spatially explicit model at a landscape scale to examine the dynamics of <i>Lolium rigidum</i> populations in dryland cereal crops and the evolution of herbicide resistance under various management strategies. Resistance evolved rapidly under repeated herbicide use, driven by weed fecundity and herbicide efficacy. Although fitness costs associated with resistant plants reduced the resistance evolution, they did not affect the speed of its spread. The most effective strategies for slow resistance involved diversifying cropping sequences and herbicide applications. Pollen flow was the main dispersal vector, with seed dispersal also making a significant contribution. Strategies limiting seed dispersal effectively decreased resistance spread. However, the use of a seed-catching device at harvest could unintentionally enrich resistance in the area. It would be beneficial to optimize the movement of harvesters between fields. The model presented here is a useful tool that could assist in the exploration of novel management strategies within the context of site-specific weed management at landscape scale as well as in the advancement of our understanding of resistance dynamics. |
| format | Article |
| id | doaj-art-73bb1d08a21d4a1392b0f982fd2efdcc |
| institution | Kabale University |
| issn | 2073-4395 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Agronomy |
| spelling | doaj-art-73bb1d08a21d4a1392b0f982fd2efdcc2024-12-27T14:04:38ZengMDPI AGAgronomy2073-43952024-12-011412299010.3390/agronomy14122990Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape ScaleLucia Gonzalez-Diaz0Irene Gonzalez-Garcia1Jose L. Gonzalez-Andujar2Instituto de Agricultura Sostenible (IAS-CSIC), Campus Alameda del Obispo, Menéndez Pidal s/n, 14004 Cordoba, SpainDepartment of Food Science and Technology, University of California, Davis, CA 95616, USAInstituto de Agricultura Sostenible (IAS-CSIC), Campus Alameda del Obispo, Menéndez Pidal s/n, 14004 Cordoba, SpainThe repeated application of herbicides has led to the development of herbicide resistance. Models are useful for identifying key processes and understanding the evolution of resistance. This study developed a spatially explicit model at a landscape scale to examine the dynamics of <i>Lolium rigidum</i> populations in dryland cereal crops and the evolution of herbicide resistance under various management strategies. Resistance evolved rapidly under repeated herbicide use, driven by weed fecundity and herbicide efficacy. Although fitness costs associated with resistant plants reduced the resistance evolution, they did not affect the speed of its spread. The most effective strategies for slow resistance involved diversifying cropping sequences and herbicide applications. Pollen flow was the main dispersal vector, with seed dispersal also making a significant contribution. Strategies limiting seed dispersal effectively decreased resistance spread. However, the use of a seed-catching device at harvest could unintentionally enrich resistance in the area. It would be beneficial to optimize the movement of harvesters between fields. The model presented here is a useful tool that could assist in the exploration of novel management strategies within the context of site-specific weed management at landscape scale as well as in the advancement of our understanding of resistance dynamics.https://www.mdpi.com/2073-4395/14/12/2990explicit genotype modedispersal vectorsgene flowpopulation dynamicsoperational factorsspatially explicit model |
| spellingShingle | Lucia Gonzalez-Diaz Irene Gonzalez-Garcia Jose L. Gonzalez-Andujar Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape Scale Agronomy explicit genotype mode dispersal vectors gene flow population dynamics operational factors spatially explicit model |
| title | Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape Scale |
| title_full | Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape Scale |
| title_fullStr | Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape Scale |
| title_full_unstemmed | Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape Scale |
| title_short | Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape Scale |
| title_sort | modeling the herbicide resistance evolution in i lolium rigidum gaud i populations at the landscape scale |
| topic | explicit genotype mode dispersal vectors gene flow population dynamics operational factors spatially explicit model |
| url | https://www.mdpi.com/2073-4395/14/12/2990 |
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