Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG

Wheat (Triticum aestivum L.) genetic improvement objectives include obtaining cultivars capable of expressing their maximum potential yield and quality in diverse environments. This make necessary to know and define the environment in which a variety can express its maximum potential yield and quali...

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Autores principales:	Castillo,Dalma, Matus,Iván, del Pozo,Alejandro, Madariaga,Ricardo, Mellado,Mario
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2012
Materias:	AMMI SREG GxE bread wheat
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392012000200001
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spelling	oai:scielo:S0718-583920120002000012018-10-01Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAGCastillo,DalmaMatus,Ivándel Pozo,AlejandroMadariaga,RicardoMellado,Mario AMMI SREG GxE bread wheat Wheat (Triticum aestivum L.) genetic improvement objectives include obtaining cultivars capable of expressing their maximum potential yield and quality in diverse environments. This make necessary to know and define the environment in which a variety can express its maximum potential yield and quality. The objective of this study was to assess which method is the most efficient to study cultivars response in multiple environments. For this, we analyze the adaptability, stability, and genotype x environment (GxE) interaction effect, grain yield, sedimentation, and wet gluten content of 13 spring wheat cultivars sown in six environments in the central-south and southern zones of Chile during two seasons. The data were analyzed by regression analysis, additive main effects and multiplicative interaction (AMMI), and the sites regression (SREG) model. By this was thus established that SREG analysis is the most efficient for this type of study since, in addition to analyzing stability, adaptability, and effect (GxE), it allows identifying the best cultivar. In this case, ’Pandora-INIA’ stands out by exhibiting the best yield (7.38 t ha-1), high sedimentation (36.95 cm³), and wet gluten (41.54%) indices in all the environments, and this positions it as a variety having both high yield and quality.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.72 n.2 20122012-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392012000200001en10.4067/S0718-58392012000200001
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	AMMI SREG GxE bread wheat
spellingShingle	AMMI SREG GxE bread wheat Castillo,Dalma Matus,Iván del Pozo,Alejandro Madariaga,Ricardo Mellado,Mario Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG
description	Wheat (Triticum aestivum L.) genetic improvement objectives include obtaining cultivars capable of expressing their maximum potential yield and quality in diverse environments. This make necessary to know and define the environment in which a variety can express its maximum potential yield and quality. The objective of this study was to assess which method is the most efficient to study cultivars response in multiple environments. For this, we analyze the adaptability, stability, and genotype x environment (GxE) interaction effect, grain yield, sedimentation, and wet gluten content of 13 spring wheat cultivars sown in six environments in the central-south and southern zones of Chile during two seasons. The data were analyzed by regression analysis, additive main effects and multiplicative interaction (AMMI), and the sites regression (SREG) model. By this was thus established that SREG analysis is the most efficient for this type of study since, in addition to analyzing stability, adaptability, and effect (GxE), it allows identifying the best cultivar. In this case, ’Pandora-INIA’ stands out by exhibiting the best yield (7.38 t ha-1), high sedimentation (36.95 cm³), and wet gluten (41.54%) indices in all the environments, and this positions it as a variety having both high yield and quality.
author	Castillo,Dalma Matus,Iván del Pozo,Alejandro Madariaga,Ricardo Mellado,Mario
author_facet	Castillo,Dalma Matus,Iván del Pozo,Alejandro Madariaga,Ricardo Mellado,Mario
author_sort	Castillo,Dalma
title	Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG
title_short	Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG
title_full	Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG
title_fullStr	Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG
title_full_unstemmed	Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG
title_sort	adaptability and genotype x environment interaction of spring wheat cultivars in chile using regression analysis, ammi, and srag
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2012
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392012000200001
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Adaptability and Genotype x Environment Interaction of Spring Wheat Cultivars in Chile using Regression Analysis, AMMI, and SRAG

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