2014
DOI: 10.1073/pnas.1400425111
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Storytelling and story testing in domestication

Abstract: The domestication of plants and animals marks one of the most significant transitions in human, and indeed global, history. Traditionally, study of the domestication process was the exclusive domain of archaeologists and agricultural scientists; today it is an increasingly multidisciplinary enterprise that has come to involve the skills of evolutionary biologists and geneticists. Although the application of new information sources and methodologies has dramatically transformed our ability to study and understa… Show more

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Cited by 77 publications
(61 citation statements)
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“…We need to know, for example, exactly where and when out-crossing was common or directed selection high before we can begin to evaluate the respective importance of these processes in the domestication of particular species or to understand regional variability. Other questions, such as the amount of gene flow required to counter directed selection at different levels of culling or natural mortality in human environments, are amenable to modeling (79).…”
Section: Implications Of Widespread Gene Flowmentioning
confidence: 99%
“…We need to know, for example, exactly where and when out-crossing was common or directed selection high before we can begin to evaluate the respective importance of these processes in the domestication of particular species or to understand regional variability. Other questions, such as the amount of gene flow required to counter directed selection at different levels of culling or natural mortality in human environments, are amenable to modeling (79).…”
Section: Implications Of Widespread Gene Flowmentioning
confidence: 99%
“…The evolutionary process of plant domestication by humans led to morphological, physiological, behavioral and genetic differentiation of a wide range of species from their wild progenitors (Gerbault et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…We can only hope to identify a model that gives a good approximation of the data available." Recently much work, such as Burnham and Anderson's, has gone into devising techniques to find models that are good approximations (Gerbault, Allaby, et al 2014;McElreath 2015). These methods take advantage of the falling cost of computation to use models to simulate the data, systematically varying the parameters of the model and asking which parameter combinations best fit the data.…”
Section: Background: Theory Building In the Case Of Complex Dynamic Smentioning
confidence: 99%