Hostname: page-component-848d4c4894-m9kch Total loading time: 0 Render date: 2024-05-31T14:18:41.027Z Has data issue: false hasContentIssue false

Endogamia, movilidad y residencia posmarital en poblaciones incas del noroeste de Cusco

Published online by Cambridge University Press:  21 June 2023

Héctor Hugo Varela*
Affiliation:
Departamento de Ciencias Naturales, Facultad de Ciencias Exactas Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET-ICBIA), Río Cuarto, Córdoba, Argentina
Silvia Graciela Valdano
Affiliation:
Departamento de Ciencias Naturales, Facultad de Ciencias Exactas Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET-ICBIA), Río Cuarto, Córdoba, Argentina
José Alberto Cocilovo†
Affiliation:
Departamento de Ciencias Naturales, Facultad de Ciencias Exactas Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET-ICBIA), Río Cuarto, Córdoba, Argentina
*
Autor de contacto: Héctor Hugo Varela, Email: hvarela@exa.unrc.edu.ar

Resumen

El estudio del parentesco permite comprender mejor las sociedades antiguas porque está relacionado con el comportamiento social, económico, político y reproductivo de la población. Es posible conocer la magnitud de la endogamia y hacer inferencias sobre la movilidad de ambos sexos. Una mayor similitud genética promedio dentro de muestras femeninas sugiere mayor migración masculina (modelo de residencia posmarital matrilocal). A la inversa se deduce un modelo de residencia patrilocal y si no hay diferencias se infiere un modelo bilocal. Nuestro objetivo es conocer la divergencia genética entre grupos incas del altiplano del noroeste de Cusco utilizando caracteres cuantitativos del cráneo para estimar el parentesco, el número de migrantes por generación y el patrón de residencia posmarital. Los restos óseos empleados (99 cráneos masculinos y 75 femeninos) proviene de los sitios Paucarcancha, Patallacta y Torontoy. Se aplicaron técnicas de análisis multivariado y modelos derivados de la genética de poblaciones. Existen diferencias morfológicas entre los sitios a pesar de la escasa distancia geográfica. La divergencia genética fue de 0,035 (siete individuos migrantes por generación). La varianza dentro de grupos es similar en ambos sexos (modelo posmarital bilocal). Se discute la evidencia obtenida con otras localidades y subregiones del Área Andina Centro Meridional.

Abstract

Abstract

The study of kinship provides a better understanding of ancient societies because it is related to the social, economic, political, and reproductive behavior of the population. It is possible to know the extent of inbreeding and to make inferences about the mobility of both sexes. Higher average genetic similarity within female samples suggests higher male migration (matrilocal postmarital residence pattern). Conversely, a patrilocal residence pattern is deduced, and if there are no differences, a bilocal pattern is inferred. Our objective is to determine the genetic divergence between Inca groups from the altiplano of northwestern Cusco using quantitative skull characters to estimate kinship, the number of migrants per generation, and the postmarital residence pattern. The collection used (99 male and 75 female skulls) comes from the sites of Paucarcancha, Patallacta, and Torontoy. Multivariate analysis techniques and models derived from population genetics are applied to show that there are morphological differences between the sites despite the small geographic distance. Genetic divergence was 0.035 (seven migrants per generation). Within-group variance is similar in both sexes (bilocal postmarital model). We discuss the evidence obtained with other localities and subregions of the South-Central Andean Area.

Type
Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the Society for American Archaeology

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Referencias citadas

Bethard, Jonathan D. 2013. The Bioarchaeology of Inka Resettlement Practices: Insight from Biological Distance Analysis. Tesis doctoral, Departamento de Antropología, Universidad de Tennessee, Knoxville.Google Scholar
Carrasco Gutiérrez, Ana M. y Gavilán Vega, Vivian T.. 2014. Género y etnicidad: Ser hombre y ser mujer entre los Aymara del altiplano chileno. Diálogo Andino 45:169180. http://dx.doi.org/10.4067/S0719-26812014000300014.CrossRefGoogle Scholar
Cocilovo, José A., Varela, Héctor H. y Valdano, Silvia G.. 2017. South Central Andean Area: Social Interaction, Relationship and Genetic Divergence in the Atacama Desert. Journal of Anthropology and Archaeology 5:5673. https://doi.org/10.15640/jaa.v5n2a5.CrossRefGoogle Scholar
Cocilovo, José A., Varela, Héctor H. y Valdano, Silvia G.. 2019a. Residencia posmarital, movilidad y relaciones sociales en el Área Andina Centro-Sur. Latin American Antiquity 30(3):459470.CrossRefGoogle Scholar
Cocilovo, José A., Varela, Héctor H. y Valdano, Silvia G.. 2019b. Post-Marital Residence Pattern in Ancient Populations of the North of Chile. Annals of Archaeology 2(2):110.Google Scholar
Cocilovo, José A., Varela, Héctor H. y Valdano, Silvia G.. 2019c. Migración y residencia posmarital en el noroeste Argentino. Relaciones de la Sociedad Argentina de Antropología 44(2):233250.Google Scholar
Cocilovo, José A., Varela, Héctor H. y Valdano, Silvia G.. 2021. Patrones de residencia posmarital en la población prehistórica de Arica (Chile). Intersecciones en Antropología 22(2):157168. https://doi.org/10.37176/iea.22.2.2021.610.CrossRefGoogle Scholar
Cook, Robert A. y Aubry, B. Scott. 2014. Aggregation, Interregional Interaction, and Postmarital Residence Patterning: A Study of Biological Variation in the Late Prehistoric Middle Ohio Valley. American Journal of Physical Anthropology 154:270278. https://doi.org/10.1002/ajpa.22503.CrossRefGoogle ScholarPubMed
Del Popolo, Fabiana y Oyarce, Ana M.. 2009. Hogar y familias indígenas en Bolivia, Chile y Panamá: Algunos hallazgos y su aporte a la recolección de la información censal. Notas de Población (CEPAL) 87:121149.Google Scholar
Dransart, Penélope. 2011. Social Principles of Andean Camelid Pastoralism and Archaeological Interpretations. En Ethnozooarchaeology: The Present and Past of Human-Animal Relationships, editado por Albarella, Umberto y Trentacoste, Angela, pp. 123130. Oxbow, Oxford.CrossRefGoogle Scholar
Eaton, George F. 1916. The Collection of Osteological Material from Machu Picchu. Memoirs Vol. 5. Connecticut Academy of Arts and Sciences, New Haven.Google Scholar
Ensor, Bradley E., Irish, Joel D. y Keegan, William F.. 2017. The Bioarchaeology of Kinship. Proposed Revisions to Assumptions Guiding Interpretation. Current Anthropology 58(6):739761. https://doi.org/10.1086/694584.CrossRefGoogle Scholar
Falconer, Douglas S. y Mackay, Trudy F. C.. 1996. Introduction to Quantitative Genetics. 4ta. ed. Longman, Burnt Mill, Reino Unido.Google Scholar
Gradie, Margaret I., Jorde, Lynn B. y Bouchard, Gérard. 1988. Genetic Structure of the Saguenay, 1852–1911: Evidence from Migration and lsonymy Matrices. American Journal of Physical Anthropology 77:321333. https://doi.org/10.1002/ajpa.1330770305.CrossRefGoogle ScholarPubMed
Konigsberg, Lyle W. 1988. Migration Models of Prehistoric Postmarital Residence. American Journal of Physical Anthropology 77(4):471482. https://doi.org/10.1002/ajpa.1330770408.CrossRefGoogle ScholarPubMed
Konigsberg, Lyle W. y Frankenberg, Susan R.. 2016. Postmarital Residence Analysis. En Biological Distance Analysis: Forensic and Bioarchaeological Perspectives, editado por Pilloud, Marin A. y Hefner, Joseph T., pp. 335347. Elsevier, Nueva York.CrossRefGoogle Scholar
MacCurdy, George G. 1923. Human Skeletal Remains from the Highlands of Peru. American Journal of Physical Anthropology 6(3):217329.CrossRefGoogle Scholar
Malecot, Gustave. 1969. The Mathematics of Heredity. Freeman, San Francisco, California.Google Scholar
Medeot, Erica A., Cocilovo, José A. y Varela, Héctor H.. 2008. Varianza ambiental y estabilidad del desarrollo en la población prehispánica de Las Pirguas (Salta, Argentina). Latin American Antiquity 19(2):146157.CrossRefGoogle Scholar
Morton, Newton E. 1973. Kinship and Population Structure. En Genetic Structure of Populations, editado por Morton, Newton E., pp. 6671. University of Hawaii Press, Honolulu.Google Scholar
Morton, Newton E. 1975. Kinship, Information and Biological Distance. Theoretical Population Biology 7:246255.CrossRefGoogle ScholarPubMed
Morton, Newton E., Yee, Shirley, Harris, D. E. y Lew, Ruth. 1971. Bioassay of Kinship. Theoretical Population Biology 2:507524.CrossRefGoogle ScholarPubMed
Nystrom, Kenneth C. y Malcom, Christine M.. 2010. Sex-Specific Phenotypic Variability and Social Organization in the Chiribaya of Southern Peru. Latin American Antiquity 21(4):375397.CrossRefGoogle Scholar
O'Brien, Elizabeth, Rogers, Alan R., Beesley, Judy y Jorde, Lynn B.. 1994. Genetic Structure of the Utah Mormons: Comparison of Results Based on RFLPs, Blood Groups, Migration Matrices, Isonymy, and Pedigrees. Human Biology 66:743759.Google ScholarPubMed
Ortiz Rescaniere, Alejandro. 1989. La comunidad, el parentesco y los patrones de crianza andinos. Anthropologica 7(7):135170.CrossRefGoogle Scholar
Relethford, John H. 1980. Bioassay of Kinship from Continuous Traits. Human Biology 52:689700.Google ScholarPubMed
Relethford, John H. 1994. Craniometric Variation among Modern Human Populations. American Journal of Physical Anthropology 95:5362.CrossRefGoogle ScholarPubMed
Relethford, John H. 1996. Genetic Drift can Obscure Population History: Problem and Solution. Human Biology 68:2944.Google ScholarPubMed
Relethford, John H. y Blangero, John. 1990. Detection of Differential Gene Flow from Patterns of Quantitative Variation. Human Biology 62:525.Google ScholarPubMed
Relethford, John H., Crawford, Michael H. y Blangero, John. 1997. Genetic Drift and Gene Flow in Post-Famine Ireland. Human Biology 69:443465.Google ScholarPubMed
Relethford, John H. y Harpending, Henry C.. 1994. Craniometric Variation, Genetic Theory and Modern Human Origins. American Journal of Physical Anthropology 95:249270.CrossRefGoogle ScholarPubMed
Rodicio García, Sara. 1980. El sistema de parentesco inca. Revista Española de Antropología Americana 10:183254.Google Scholar
Seber, George A. F. 1984. Multivariate Observations. Wiley, Nueva York.CrossRefGoogle Scholar
Souza Aguiar, Gilberto F. y Neves, Walter A.. 1991. Postmarital Residence Pattern and Within-Sex Genetic Diversity among the Urubu-Ka'apor Indians, Brazilian Amazon. Human Biology 63:467488.Google Scholar
Stojanowski, Christopher M. y Schillaci, Michael A.. 2006. Phenotypic Approaches for Understanding Patterns of Intracemetery Biological Variation. American Journal of Physical Anthropology 131:4988. https://doi.org/10.1002/ajpa.20517.CrossRefGoogle Scholar
Turner, Bethany L., Kamenov, George D., Kingston, John D. y Armelagos, George J.. 2009. Insights into Immigration and Social Class at Machu Picchu, Peru Based on Oxygen, Strontium, and Lead Isotopic Analysis. Journal of Archaeological Science 36:317332. https://doi.org/10.1016/j.jas.2008.09.018.CrossRefGoogle Scholar
Turner, Bethany L., Kingston, John D. y Armelagos, George J.. 2010. Variation in Dietary Histories among the Immigrants of Machu Picchu: Carbon and Nitrogen Isotope Evidence. Chungara 42(2):515534. http://dx.doi.org/10.4067/S0717-73562010000200012.Google Scholar
Varela, Héctor H. y Cocilovo, José A.. 1999. Evaluation of the Environmental Component of the Phenotypic Variance in Prehistoric Population. Homo 50:4653.Google Scholar
Varela, Héctor H. y Cocilovo, José A.. 2000. Structure of the Prehistoric Population of San Pedro de Atacama. Current Anthropology 41:125132.CrossRefGoogle ScholarPubMed
Varela, Héctor H. y Cocilovo, José A.. 2007. Phenotypic, Maximum Genetic and Special Environmental Variability in Prehistoric Human Populations. American Journal of Physical Anthropology 132:1724. https://doi.org/10.1002/ajpa.20473.CrossRefGoogle ScholarPubMed
Varela, Héctor H. y Cocilovo, José A.. 2009. Microevolución en San Pedro de Atacama (norte de Chile): El cementerio de Quitor. Latin American Antiquity 20(2):333342.CrossRefGoogle Scholar
Varela, Héctor H., Cocilovo, José A. y O'Brien, Tyler G.. 2012. Evolución de las poblaciones prehistóricas del área Andina Centro Sur: Deriva genética, migración y selección natural. Antropo 28:922.Google Scholar
Varela, Héctor H., Cocilovo, José A. y Valdano, Silvia G.. 1993. Evaluación de la influencia del efecto sexo, edad y deformación artificial en la estimación de distancias biológicas por medio de la D2 de Mahalanobis. Boletín de la Sociedad Española de Antropología Biológica 14:135148.Google Scholar
Varela, Héctor H., Cocilovo, José A. y Valdano, Silvia G.. 2020. Maximum Genetic Proportion of Metric Traits from Different Regions of the Skull in Ancient Human Populations of Northwestern Argentina. European Journal of Anatomy 24(5):415428.Google Scholar
Velasco, Matthew C. 2018. Open Sepulchers and Closed Boundaries? Biodistance Analysis of Cemetery Structure and Postmarital Residence in the Late Prehispanic Andes. American Journal of Physical Anthropology 166:906920. https://doi.org/10.1002/ajpa.23594.CrossRefGoogle ScholarPubMed
Verano, John W. 2003. Human Skeletal Remains from Machu Picchu: A Reexamination of the Yale Peabody Museum's Collections. En The 1912 Yale Peruvian Scientific Expedition Collections from Machu Picchu: Human and Animal Remains, editado por Burger, Richard L. y Salazar, Lucy C., pp. 65118. Yale University Publications in Anthropology Vol. 85. Yale University Press, New Haven, Connecticut.Google Scholar
Wright, Sewall. 1969. Evolution and the Genetics of Populations, Vol. 2: The Theory of Gene Frequencies. University of Chicago Press, Chicago.Google Scholar
Supplementary material: File

Varela et al. supplementary material

Varela et al. supplementary material 1

Download Varela et al. supplementary material(File)
File 40.4 KB
Supplementary material: File

Varela et al. supplementary material

Varela et al. supplementary material 2

Download Varela et al. supplementary material(File)
File 47.1 KB