Identification of corn starch from Catamarca: application to two archaeological cases
In this paper we introduce a statistical model to discriminate different maize types in archaeological starch grains recovered from pottery and ground stone tools. The model was developed using a wide database of starch grains from maize landraces native to the Argentine Northwest. We carried out a...
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| Autores principales: | , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Centro de Estudios Históricos. UA CONICET
2015
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| Materias: | |
| Acceso en línea: | https://revistas.unc.edu.ar/index.php/comechingonia/article/view/18140 |
| Aporte de: |
| Sumario: | In this paper we introduce a statistical model to discriminate different maize types in archaeological starch grains recovered from pottery and ground stone tools. The model was developed using a wide database of starch grains from maize landraces native to the Argentine Northwest. We carried out a Discriminant Analysis using the stepwise methodology. This analysis allowed us to assign the archaeological starch grains to different maize types, defined by their endosperm texture: flint, floury, sweet, dent and flint-floury. The identification of different maize types in archaeological samples allowed us to discuss food and beverage preparation and consumption practices in Catamarca during the pre-Hispanic period. |
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