Yield stability and relationships among stability parameters in soybean genotypes across years

ABSTRACT The search for productive and stable genotypes is the main goal of breeding programs. The Genotype × Environment interaction strongly influences genotype performance, and makes the selection of new cultivars difficult. One way to take advantage of this interaction is to identify genotypes w...

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Autores principales:	Milioli,Anderson S., Zdziarski,Andrei D., Woyann,Leomar G., Santos,Rodnei dos, Rosa,Ana C., Madureira,Alana, Benin,Giovani
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2018
Materias:	Consistency between years dynamic and static stability Genotype × Environment interaction Glycine max
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392018000200299
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spelling	oai:scielo:S0718-583920180002002992018-08-16Yield stability and relationships among stability parameters in soybean genotypes across yearsMilioli,Anderson S.Zdziarski,Andrei D.Woyann,Leomar G.Santos,Rodnei dosRosa,Ana C.Madureira,AlanaBenin,Giovani Consistency between years dynamic and static stability Genotype × Environment interaction Glycine max ABSTRACT The search for productive and stable genotypes is the main goal of breeding programs. The Genotype × Environment interaction strongly influences genotype performance, and makes the selection of new cultivars difficult. One way to take advantage of this interaction is to identify genotypes with high grain yield (GY) and stability in different environments. The objective of this study was to evaluate the consistency of correlation between GY and stability evaluation methods in multi-environment trials and identify which methods are more suitable for selecting genotypes. GY data from 11 soybean (Glycine max [L.] Merr.) cultivars conducted in Value for Cultivation and Use trials in 10 locations in Paraná and Mato Grosso do Sul states, Brazil, in the 2013-2014, 2014-2015, and 2015-2016 crop seasons. A randomized complete block design with three replicates was used. Seven methods were applied to evaluate stability, and Spearman's correlation coefficient was used to compare methods. Positive associations were observed between GY and the harmonic mean of genotypic values (HMGV) across environments and genotype main effect + Genotype × Environment interaction effect by ideal genotype (GGE IG) methodologies, and between GY and the Lin and Binns method modified by Carneiro for general and unfavorable environments. The Eberhart and Russell, additive main effects and multiplicative interaction (AMMI1), and GGE for stability (GGE STA) methods presented no positive associations with GY in any year. Positive associations were found between the Wricke, AMMI1, and Eberhart and Russell methods because they were related to the static stability concept. The HMGV and GGE IG methods can be used together because they are consistently associated with GY and based on the dynamic stability concept.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.78 n.2 20182018-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392018000200299en10.4067/S0718-58392018000200299
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Consistency between years dynamic and static stability Genotype × Environment interaction Glycine max
spellingShingle	Consistency between years dynamic and static stability Genotype × Environment interaction Glycine max Milioli,Anderson S. Zdziarski,Andrei D. Woyann,Leomar G. Santos,Rodnei dos Rosa,Ana C. Madureira,Alana Benin,Giovani Yield stability and relationships among stability parameters in soybean genotypes across years
description	ABSTRACT The search for productive and stable genotypes is the main goal of breeding programs. The Genotype × Environment interaction strongly influences genotype performance, and makes the selection of new cultivars difficult. One way to take advantage of this interaction is to identify genotypes with high grain yield (GY) and stability in different environments. The objective of this study was to evaluate the consistency of correlation between GY and stability evaluation methods in multi-environment trials and identify which methods are more suitable for selecting genotypes. GY data from 11 soybean (Glycine max [L.] Merr.) cultivars conducted in Value for Cultivation and Use trials in 10 locations in Paraná and Mato Grosso do Sul states, Brazil, in the 2013-2014, 2014-2015, and 2015-2016 crop seasons. A randomized complete block design with three replicates was used. Seven methods were applied to evaluate stability, and Spearman's correlation coefficient was used to compare methods. Positive associations were observed between GY and the harmonic mean of genotypic values (HMGV) across environments and genotype main effect + Genotype × Environment interaction effect by ideal genotype (GGE IG) methodologies, and between GY and the Lin and Binns method modified by Carneiro for general and unfavorable environments. The Eberhart and Russell, additive main effects and multiplicative interaction (AMMI1), and GGE for stability (GGE STA) methods presented no positive associations with GY in any year. Positive associations were found between the Wricke, AMMI1, and Eberhart and Russell methods because they were related to the static stability concept. The HMGV and GGE IG methods can be used together because they are consistently associated with GY and based on the dynamic stability concept.
author	Milioli,Anderson S. Zdziarski,Andrei D. Woyann,Leomar G. Santos,Rodnei dos Rosa,Ana C. Madureira,Alana Benin,Giovani
author_facet	Milioli,Anderson S. Zdziarski,Andrei D. Woyann,Leomar G. Santos,Rodnei dos Rosa,Ana C. Madureira,Alana Benin,Giovani
author_sort	Milioli,Anderson S.
title	Yield stability and relationships among stability parameters in soybean genotypes across years
title_short	Yield stability and relationships among stability parameters in soybean genotypes across years
title_full	Yield stability and relationships among stability parameters in soybean genotypes across years
title_fullStr	Yield stability and relationships among stability parameters in soybean genotypes across years
title_full_unstemmed	Yield stability and relationships among stability parameters in soybean genotypes across years
title_sort	yield stability and relationships among stability parameters in soybean genotypes across years
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2018
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392018000200299
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_version_	1714205379025436672

Yield stability and relationships among stability parameters in soybean genotypes across years

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