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...
| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile
2021
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/10203 https://rcia.uc.cl/index.php/ijanr/article/view/152 |
| _version_ | 1855484545316421632 |
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| author | Marticorena, Marta Bramardi, Sergio Defacio, Raquel Alicia |
| author_browse | Bramardi, Sergio Defacio, Raquel Alicia Marticorena, Marta |
| author_facet | Marticorena, Marta Bramardi, Sergio Defacio, Raquel Alicia |
| author_sort | Marticorena, Marta |
| collection | INTA Digital |
| 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 | Artículo |
| id | INTA10203 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile |
| publisherStr | Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile |
| record_format | dspace |
| spelling | INTA102032021-09-08T12:46:11Z Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis Caracterización de poblaciones de maíz en distintas condiciones ambientales mediante Análisis de Componentes Principales de tres modos Marticorena, Marta Bramardi, Sergio Defacio, Raquel Alicia Germoplasma Interacción Genotipo Ambiente Recursos Genéticos Vegetales Germplasm Banks Genotype Environment Interaction Plant Genetic Resources Germplasm Indigenous Organisms Banco de Germoplasma Organismos Indígenas Plantas Nativas Especies Nativas Native Plants 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. Se analizaron datos correspondientes a la caracterización de 31 poblaciones nativas de maíz, conservadas en el banco de germoplasma de la Estación Experimental Agropecuaria INTA Pergamino (EEA INTA Pergamino), Argentina, sobre las que se evaluaron 10 variables cuantitativas en dos situaciones ambientales distintas. Esta situación experimental generó datos de tres vías o modos: observaciones de un conjunto de variables sobre un conjunto de individuos repetidas en distintas condiciones. Se concentró la información en un arreglo tridimensional, para luego explorar la estructura del cuerpo de datos empleando “análisis de componentes principales de tres modos”, Modelo Tucker-2. Los resultados obtenidos permitieron determinar un grupo de poblaciones de comportamiento homogéneo en los dos ambientes, en cuanto a los caracteres longitud de mazorca, prolificidad, granos por metro, rendimiento y peso de 1.000 granos. En cambio, otro grupo de poblaciones manifestaron la incidencia de las condiciones ambientales, en el comportamiento opuesto reflejado en las variables altura de planta y altura de inserción de mazorca. Esta situación, contrastada con las poblaciones de comportamiento homogéneo en los dos ambientes, es indicativa de la existencia de interacción genotipo-ambiente. Se concluye que el análisis de componentes principales de tres modos es una herramienta importante para la caracterización de recursos fitogenéticos, cuyos valores fenotípicos y agronómicos son susceptibles de ser afectados por condiciones ambientales. Estación Experimental Agropecuaria Pergamino Fil: Marticorena, Marta. Universidad Nacional del Comahue. Facultad de Ciencias Agrarias; Argentina. Fil: Marticorena, Marta. Universidad Nacional del Comahue. Facultad de Economía y Administración; Argentina Fil: Bramardi, Sergio. Universidad Nacional del Comahue. Facultad de Ciencias Agrarias; Argentina. Fil: Bramardi, Sergio. Universidad Nacional de La Plata. Facultad de Ciencias Agrarias y Forestales; Argentina. Fil: Defacio, Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina 2021-09-08T12:36:55Z 2021-09-08T12:36:55Z 2010-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/10203 https://rcia.uc.cl/index.php/ijanr/article/view/152 0718-1620 eng info:eu-repograntAgreement/INTA/PNCYO-1127043/AR./Desarrollo de germoplasma y cultivares comerciales de cereales de verano. info:eu-repograntAgreement/INTA/PNBIO-1131044/AR./Genómica aplicada a estudios de ecología molecular y diversidad genética. info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile Ciencia e Investigación Agraria 37 (3) : 91-103. (2010) |
| spellingShingle | Germoplasma Interacción Genotipo Ambiente Recursos Genéticos Vegetales Germplasm Banks Genotype Environment Interaction Plant Genetic Resources Germplasm Indigenous Organisms Banco de Germoplasma Organismos Indígenas Plantas Nativas Especies Nativas Native Plants Marticorena, Marta Bramardi, Sergio Defacio, Raquel Alicia Characterization of maize populations in different environmental conditions by means of Three-Mode Principal Components Analysis |
| title | 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_short | 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 |
| topic | Germoplasma Interacción Genotipo Ambiente Recursos Genéticos Vegetales Germplasm Banks Genotype Environment Interaction Plant Genetic Resources Germplasm Indigenous Organisms Banco de Germoplasma Organismos Indígenas Plantas Nativas Especies Nativas Native Plants |
| url | http://hdl.handle.net/20.500.12123/10203 https://rcia.uc.cl/index.php/ijanr/article/view/152 |
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