A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants
The study of the prehistoric origins and dispersal routes of domesticated plants is often based on the analysis of either archaeobotanical or genetic data. As more data become available, spatially explicit models of crop dispersal can be used to combine different types of evidence. We present a mode...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Inglés |
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Public Library of Science
2010
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/166022 |
| _version_ | 1855542133090418688 |
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| author | van Etten, Jacob Hijmans, Robert J. |
| author_browse | Hijmans, Robert J. van Etten, Jacob |
| author_facet | van Etten, Jacob Hijmans, Robert J. |
| author_sort | van Etten, Jacob |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The study of the prehistoric origins and dispersal routes of domesticated plants is often based on the analysis of either archaeobotanical or genetic data. As more data become available, spatially explicit models of crop dispersal can be used to combine different types of evidence. We present a model in which a crop disperses through a landscape that is represented by a conductance matrix. From this matrix, we derive least-cost distances from the geographical origin of the crop and use these to predict the age of archaeological crop remains and the heterozygosity of crop populations. We use measures of the overlap and divergence of dispersal trajectories to predict genetic similarity between crop populations. The conductance matrix is constructed from environmental variables using a number of parameters. Model parameters are determined with multiple-criteria optimization, simultaneously fitting the archaeobotanical and genetic data. The consilience reached by the model is the extent to which it converges around solutions optimal for both archaeobotanical and genetic data. We apply the modelling approach to the dispersal of maize in the Americas. The approach makes possible the integrative inference of crop dispersal processes, while controlling model complexity and computational requirements. |
| format | Journal Article |
| id | CGSpace166022 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2010 |
| publishDateRange | 2010 |
| publishDateSort | 2010 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | CGSpace1660222025-01-24T14:20:57Z A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants van Etten, Jacob Hijmans, Robert J. geographic information systems plant remains (archaeology) plant genetics The study of the prehistoric origins and dispersal routes of domesticated plants is often based on the analysis of either archaeobotanical or genetic data. As more data become available, spatially explicit models of crop dispersal can be used to combine different types of evidence. We present a model in which a crop disperses through a landscape that is represented by a conductance matrix. From this matrix, we derive least-cost distances from the geographical origin of the crop and use these to predict the age of archaeological crop remains and the heterozygosity of crop populations. We use measures of the overlap and divergence of dispersal trajectories to predict genetic similarity between crop populations. The conductance matrix is constructed from environmental variables using a number of parameters. Model parameters are determined with multiple-criteria optimization, simultaneously fitting the archaeobotanical and genetic data. The consilience reached by the model is the extent to which it converges around solutions optimal for both archaeobotanical and genetic data. We apply the modelling approach to the dispersal of maize in the Americas. The approach makes possible the integrative inference of crop dispersal processes, while controlling model complexity and computational requirements. 2010-08-11 2024-12-19T12:55:45Z 2024-12-19T12:55:45Z Journal Article https://hdl.handle.net/10568/166022 en Open Access Public Library of Science van Etten, Jacob; Hijmans, Robert J. 2010. A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants. PLoS ONE, Volume 5 no. 8 p. e12060 |
| spellingShingle | geographic information systems plant remains (archaeology) plant genetics van Etten, Jacob Hijmans, Robert J. A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants |
| title | A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants |
| title_full | A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants |
| title_fullStr | A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants |
| title_full_unstemmed | A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants |
| title_short | A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants |
| title_sort | geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants |
| topic | geographic information systems plant remains (archaeology) plant genetics |
| url | https://hdl.handle.net/10568/166022 |
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