Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis

Characterization of 31 native populations of maize conserved at the germplasm bank of the INTA Pergamino Experimental Station, Argentina, was achieved by evaluating 10 quantitative attributes in two different environmental situations. The experimental design generated three-way or three-mode data, r...

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Autores principales: Marticorena, Marta, Bramardi, Sergio Jorge, Defacio, Raquel
Formato: Articulo
Lenguaje:Inglés
Publicado: 2010
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/109385
https://rcia.uc.cl/index.php/ijanr/article/view/152
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id I19-R120-10915-109385
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Agrarias
Germplasm Bank
Genotype-environment interaction
Tucker-2 Model
Banco de germoplasma
Interacción genotipo-ambiente
Modelo Tucker-2
spellingShingle Ciencias Agrarias
Germplasm Bank
Genotype-environment interaction
Tucker-2 Model
Banco de germoplasma
Interacción genotipo-ambiente
Modelo Tucker-2
Marticorena, Marta
Bramardi, Sergio Jorge
Defacio, Raquel
Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis
topic_facet Ciencias Agrarias
Germplasm Bank
Genotype-environment interaction
Tucker-2 Model
Banco de germoplasma
Interacción genotipo-ambiente
Modelo Tucker-2
description Characterization of 31 native populations of maize conserved at the germplasm bank of the INTA Pergamino Experimental Station, Argentina, was achieved by evaluating 10 quantitative attributes in two different environmental situations. The experimental design generated three-way or three-mode data, repeated observations of a set of attributes for a set of individuals in different conditions. The information was displayed in a three-dimensional array, and the structure of the data was explored using Three-Mode Principal Component Analysis, the Tucker-2 Model. A group of populations was identified that displayed homogeneous behavior in the two environments with respect to the following traits: ear length, prolificacy, grains per meter, yield and 1000 kernel weight. However, another group of populations displayed opposite behavior for the traits of plant height and ear insertion height in the different environment conditions and is indicative of the existence of genotype-environment interaction. In conclusion, Three-Mode Principal Component Analysis is an important tool for characterizing plant genetic resources when their phenotypic values are likely to be affected by environmental conditions.
format Articulo
Articulo
author Marticorena, Marta
Bramardi, Sergio Jorge
Defacio, Raquel
author_facet Marticorena, Marta
Bramardi, Sergio Jorge
Defacio, Raquel
author_sort Marticorena, Marta
title Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis
title_short Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis
title_full Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis
title_fullStr Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis
title_full_unstemmed Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis
title_sort characterization of maize populations in different environmental conditions by means of three-mode principal components analysis
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/109385
https://rcia.uc.cl/index.php/ijanr/article/view/152
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