Genotype × Environment Interaction in Canola (Brassica napus L.) Seed Yield in Chile

Genotype x environment (G × E) interaction in canola (Brassica napus L.) cultivar seed yield is unknown in Chile. The interaction was performed with the SREG (Sites Regression) model. Two experiments were conducted in five and thirteen environments in the 2008-2009 season in Central South Chile. The...

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Autores principales:	Escobar,Magaly, Berti,Marisol, Matus,Iván, Tapia,Maritza, Johnson,Burton
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2011
Materias:	SREG GGE MET interaction biomass
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392011000200001
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spelling	oai:scielo:S0718-583920110002000012018-10-01Genotype × Environment Interaction in Canola (Brassica napus L.) Seed Yield in ChileEscobar,MagalyBerti,MarisolMatus,IvánTapia,MaritzaJohnson,Burton SREG GGE MET interaction biomass Genotype x environment (G × E) interaction in canola (Brassica napus L.) cultivar seed yield is unknown in Chile. The interaction was performed with the SREG (Sites Regression) model. Two experiments were conducted in five and thirteen environments in the 2008-2009 season in Central South Chile. The experimental design was a randomized complete block (RCBD) in each environment with four replicates and 26 open-pollinated or hybrid canola genotypes in Experiment 1, and RCBD with three replicates and 17 genotypes in Experiment 2. ANOVA was used to determine the significance of the G × E interaction. biplots were used to graphically interpret and determine the best cultivar in each environment and the corresponding mega-environments. The G × E interaction was significant for seed yield in many locations in one cropping season. Most of the analyzed seed yield variation was due to environment and G × E effects. Principal components (PC1 and PC2) of the Sites Regression (SREG) model, with five and eight environments, accumulated 74.5% and 61.1% of the total variation, respectively. Two mega-environments were formed; the first being the Chillán environment while the second included the remaining environments. Six of the evaluated cultivars, all hybrids except ’Goya’, were superior. The mean vs. stability analysis indicated that the Monalisa hybrid had the highest yield and was the most stable cultivar across all environments. Although the information is for only 1 yr, results could change with data from several years of experimentation. Hence, the study was carried out in many locations in order to provide validity to the results.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.71 n.2 20112011-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392011000200001en10.4067/S0718-58392011000200001
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	SREG GGE MET interaction biomass
spellingShingle	SREG GGE MET interaction biomass Escobar,Magaly Berti,Marisol Matus,Iván Tapia,Maritza Johnson,Burton Genotype × Environment Interaction in Canola (Brassica napus L.) Seed Yield in Chile
description	Genotype x environment (G × E) interaction in canola (Brassica napus L.) cultivar seed yield is unknown in Chile. The interaction was performed with the SREG (Sites Regression) model. Two experiments were conducted in five and thirteen environments in the 2008-2009 season in Central South Chile. The experimental design was a randomized complete block (RCBD) in each environment with four replicates and 26 open-pollinated or hybrid canola genotypes in Experiment 1, and RCBD with three replicates and 17 genotypes in Experiment 2. ANOVA was used to determine the significance of the G × E interaction. biplots were used to graphically interpret and determine the best cultivar in each environment and the corresponding mega-environments. The G × E interaction was significant for seed yield in many locations in one cropping season. Most of the analyzed seed yield variation was due to environment and G × E effects. Principal components (PC1 and PC2) of the Sites Regression (SREG) model, with five and eight environments, accumulated 74.5% and 61.1% of the total variation, respectively. Two mega-environments were formed; the first being the Chillán environment while the second included the remaining environments. Six of the evaluated cultivars, all hybrids except ’Goya’, were superior. The mean vs. stability analysis indicated that the Monalisa hybrid had the highest yield and was the most stable cultivar across all environments. Although the information is for only 1 yr, results could change with data from several years of experimentation. Hence, the study was carried out in many locations in order to provide validity to the results.
author	Escobar,Magaly Berti,Marisol Matus,Iván Tapia,Maritza Johnson,Burton
author_facet	Escobar,Magaly Berti,Marisol Matus,Iván Tapia,Maritza Johnson,Burton
author_sort	Escobar,Magaly
title	Genotype × Environment Interaction in Canola (Brassica napus L.) Seed Yield in Chile
title_short	Genotype × Environment Interaction in Canola (Brassica napus L.) Seed Yield in Chile
title_full	Genotype × Environment Interaction in Canola (Brassica napus L.) Seed Yield in Chile
title_fullStr	Genotype × Environment Interaction in Canola (Brassica napus L.) Seed Yield in Chile
title_full_unstemmed	Genotype × Environment Interaction in Canola (Brassica napus L.) Seed Yield in Chile
title_sort	genotype × environment interaction in canola (brassica napus l.) seed yield in chile
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2011
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392011000200001
work_keys_str_mv	AT escobarmagaly genotypeenvironmentinteractionincanolabrassicanapuslseedyieldinchile AT bertimarisol genotypeenvironmentinteractionincanolabrassicanapuslseedyieldinchile AT matusivan genotypeenvironmentinteractionincanolabrassicanapuslseedyieldinchile AT tapiamaritza genotypeenvironmentinteractionincanolabrassicanapuslseedyieldinchile AT johnsonburton genotypeenvironmentinteractionincanolabrassicanapuslseedyieldinchile
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Genotype × Environment Interaction in Canola (Brassica napus L.) Seed Yield in Chile

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