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Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database
We have compiled an extensive database of archaeological evidence for rice across Asia, including 400 sites from mainland East Asia, Southeast Asia and South Asia. This dataset is used to compare several models for the geographical origins of rice cultivation and infer the most likely region(s) for...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556484/ https://www.ncbi.nlm.nih.gov/pubmed/26327225 http://dx.doi.org/10.1371/journal.pone.0137024 |
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author | Silva, Fabio Stevens, Chris J. Weisskopf, Alison Castillo, Cristina Qin, Ling Bevan, Andrew Fuller, Dorian Q. |
author_facet | Silva, Fabio Stevens, Chris J. Weisskopf, Alison Castillo, Cristina Qin, Ling Bevan, Andrew Fuller, Dorian Q. |
author_sort | Silva, Fabio |
collection | PubMed |
description | We have compiled an extensive database of archaeological evidence for rice across Asia, including 400 sites from mainland East Asia, Southeast Asia and South Asia. This dataset is used to compare several models for the geographical origins of rice cultivation and infer the most likely region(s) for its origins and subsequent outward diffusion. The approach is based on regression modelling wherein goodness of fit is obtained from power law quantile regressions of the archaeologically inferred age versus a least-cost distance from the putative origin(s). The Fast Marching method is used to estimate the least-cost distances based on simple geographical features. The origin region that best fits the archaeobotanical data is also compared to other hypothetical geographical origins derived from the literature, including from genetics, archaeology and historical linguistics. The model that best fits all available archaeological evidence is a dual origin model with two centres for the cultivation and dispersal of rice focused on the Middle Yangtze and the Lower Yangtze valleys. |
format | Online Article Text |
id | pubmed-4556484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45564842015-09-10 Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database Silva, Fabio Stevens, Chris J. Weisskopf, Alison Castillo, Cristina Qin, Ling Bevan, Andrew Fuller, Dorian Q. PLoS One Research Article We have compiled an extensive database of archaeological evidence for rice across Asia, including 400 sites from mainland East Asia, Southeast Asia and South Asia. This dataset is used to compare several models for the geographical origins of rice cultivation and infer the most likely region(s) for its origins and subsequent outward diffusion. The approach is based on regression modelling wherein goodness of fit is obtained from power law quantile regressions of the archaeologically inferred age versus a least-cost distance from the putative origin(s). The Fast Marching method is used to estimate the least-cost distances based on simple geographical features. The origin region that best fits the archaeobotanical data is also compared to other hypothetical geographical origins derived from the literature, including from genetics, archaeology and historical linguistics. The model that best fits all available archaeological evidence is a dual origin model with two centres for the cultivation and dispersal of rice focused on the Middle Yangtze and the Lower Yangtze valleys. Public Library of Science 2015-09-01 /pmc/articles/PMC4556484/ /pubmed/26327225 http://dx.doi.org/10.1371/journal.pone.0137024 Text en © 2015 Silva et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Silva, Fabio Stevens, Chris J. Weisskopf, Alison Castillo, Cristina Qin, Ling Bevan, Andrew Fuller, Dorian Q. Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database |
title | Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database |
title_full | Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database |
title_fullStr | Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database |
title_full_unstemmed | Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database |
title_short | Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database |
title_sort | modelling the geographical origin of rice cultivation in asia using the rice archaeological database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556484/ https://www.ncbi.nlm.nih.gov/pubmed/26327225 http://dx.doi.org/10.1371/journal.pone.0137024 |
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