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 PNLA 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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Marticorena,Marta, Bramardi,Sergio, Defacio,Raquel
Lenguaje:English
Publicado: Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2010
Materias:
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000300008
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0718-16202010000300008
record_format dspace
spelling oai:scielo:S0718-162020100003000082011-02-03Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components AnalysisMarticorena,MartaBramardi,SergioDefacio,Raquel Germplasm Bank genotype-environment interaction Tucker-2 Model Characterization of 31 native populations of maize conserved at the germplasm bank of the PNLA 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.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.37 n.3 20102010-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000300008en10.4067/S0718-16202010000300008
institution Scielo Chile
collection Scielo Chile
language English
topic Germplasm Bank
genotype-environment interaction
Tucker-2 Model
spellingShingle Germplasm Bank
genotype-environment interaction
Tucker-2 Model
Marticorena,Marta
Bramardi,Sergio
Defacio,Raquel
Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis
description Characterization of 31 native populations of maize conserved at the germplasm bank of the PNLA 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.
author Marticorena,Marta
Bramardi,Sergio
Defacio,Raquel
author_facet Marticorena,Marta
Bramardi,Sergio
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
publisher Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate 2010
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202010000300008
work_keys_str_mv AT marticorenamarta characterizationofmaizepopulationsindifferentenvironmentalconditionsbymeansofthreemodeprincipalcomponentsanalysis
AT bramardisergio characterizationofmaizepopulationsindifferentenvironmentalconditionsbymeansofthreemodeprincipalcomponentsanalysis
AT defacioraquel characterizationofmaizepopulationsindifferentenvironmentalconditionsbymeansofthreemodeprincipalcomponentsanalysis
_version_ 1714202127198322688