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MÉTODOS MULTIVARIADOS EN LA EVALUACIÓN DE ACCESIONES DE QUINUA (Chenopodium quinoa Willd.), PERÚ

Authors: José Luis Cahuana Jorge; Rafael Velásquez Huallpa;

MÉTODOS MULTIVARIADOS EN LA EVALUACIÓN DE ACCESIONES DE QUINUA (Chenopodium quinoa Willd.), PERÚ

Abstract

Objetivo: aplicar métodos multivariados a los datos de la caracterización y evaluación de accesiones de quinua (Chenopodium quinoa Willd.). Método: la fuente de información fue tomada de los registros de caracterización y evaluación correspondiente al refrescamiento de accesiones de las colectas del banco de germoplasma correspondiente a la campaña 2015-2016 utilizando el descriptor Bioversity International, los cuales fueron analizados aplicando métodos estadísticos multivariado de componentes principales y análisis de conglomerados considerando las variables cuantitativas relacionadas a la morfología y fisiología del cultivo de quinua. Resultados: en el análisis de componentes principales, los dos primeros componentes explican el 75% de la variabilidad total de las accesiones de quinua, estos componentes estuvieron asociados a 18 variables. Asimismo, se realizó el análisis de conglomerados mediante técnica de clasificación jerárquica donde se procesó las variables cuantitativas y categóricas (dummy), a través del método Ward y distancias Gower con el cual se encontró 4 grupos diferenciados a una distancia del 50%. Discusión: los métodos multivariados aplicados son herramientas útiles para la caracterización de un germoplasma porque permite describir todo el conjunto de accesiones en función a sus variables que se analizan simultáneamente. Sin embargo, estos resultados podrían ser complementados considerando las características genéticas de las accesiones. Conclusiones: la variabilidad y la clasificación están muy relacionadas por el origen de las colectas realizadas en lugares geográficos que correspondientes a los países de Perú y Bolivia.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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