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: Giovannetti, Marco, Lantos, Irene, Ratto, Norma
Formato: Artículo revista
Lenguaje:Español
Publicado: Centro de Estudios Históricos. UA CONICET 2015
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Acceso en línea:https://revistas.unc.edu.ar/index.php/comechingonia/article/view/18140
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spelling I10-R319-article-181402025-08-04T16:02:20Z Identification of corn starch from Catamarca: application to two archaeological cases Identificación de almidones de maíces catamarqueños: aplicación a dos casos arqueológicos. Giovannetti, Marco Lantos, Irene Ratto, Norma Archaeobotany Zea mays L. Northwestern Argentina maize landraces discriminant statistical model Arqueobotánica Zea mays L. maíces nativos del NOA modelo estadístico discriminante 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. En este trabajo presentamos un modelo estadístico para discriminar tipos de maíz a partir de los gránulos de almidón arqueológicos que fueron recuperados en vasijas cerámicas e implementos de molienda de piedra. El modelo fue generado a partir del estudio de una amplia base de datos de gránulos de almidón de maíces nativos del Noroeste argentino. Se llevó a cabo un Análisis Discriminante utilizando el método de inclusión por pasos. Este análisis nos permitió asignar los ejemplares arqueológicos a los diferentes tipos de maíz, definidos por su textura de endosperma: córneo, harinoso, dextrinoso, dentado y córneo harinoso. La identificación de tipos de maíz en las muestras arqueológicas permitió discutir las potenciales prácticas de preparación y consumo de alimentos y bebidas catamarqueñas en tiempos prehispánicos. Centro de Estudios Históricos. UA CONICET 2015-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion carpología; estadística application/pdf https://revistas.unc.edu.ar/index.php/comechingonia/article/view/18140 10.37603/2250.7728.v19.n2.18140 Comechingonia. Revista de Arqueología; Vol. 19 No. 2 (2015): Comechingonia Revista de Arqueología. ; 235-256 Comechingonia. Revista de Arqueología; Vol. 19 Núm. 2 (2015): Comechingonia Revista de Arqueología. ; 235-256 Comechingonia. Revista de Arqueología; v. 19 n. 2 (2015): Comechingonia Revista de Arqueología. ; 235-256 2250-7728 0326-7911 10.37603/2250.7728.v19.n2 spa https://revistas.unc.edu.ar/index.php/comechingonia/article/view/18140/18035 Derechos de autor 2017 Comechingonia. Revista de Arqueología
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-319
container_title_str Comechingonia. Revista de Arqueología
language Español
format Artículo revista
topic Archaeobotany
Zea mays L.
Northwestern Argentina maize landraces
discriminant statistical model
Arqueobotánica
Zea mays L.
maíces nativos del NOA
modelo estadístico discriminante
spellingShingle Archaeobotany
Zea mays L.
Northwestern Argentina maize landraces
discriminant statistical model
Arqueobotánica
Zea mays L.
maíces nativos del NOA
modelo estadístico discriminante
Giovannetti, Marco
Lantos, Irene
Ratto, Norma
Identification of corn starch from Catamarca: application to two archaeological cases
topic_facet Archaeobotany
Zea mays L.
Northwestern Argentina maize landraces
discriminant statistical model
Arqueobotánica
Zea mays L.
maíces nativos del NOA
modelo estadístico discriminante
author Giovannetti, Marco
Lantos, Irene
Ratto, Norma
author_facet Giovannetti, Marco
Lantos, Irene
Ratto, Norma
author_sort Giovannetti, Marco
title Identification of corn starch from Catamarca: application to two archaeological cases
title_short Identification of corn starch from Catamarca: application to two archaeological cases
title_full Identification of corn starch from Catamarca: application to two archaeological cases
title_fullStr Identification of corn starch from Catamarca: application to two archaeological cases
title_full_unstemmed Identification of corn starch from Catamarca: application to two archaeological cases
title_sort identification of corn starch from catamarca: application to two archaeological cases
description 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.
publisher Centro de Estudios Históricos. UA CONICET
publishDate 2015
url https://revistas.unc.edu.ar/index.php/comechingonia/article/view/18140
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first_indexed 2024-09-03T20:43:27Z
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