Assessment of Genotype × Trait × Environment interactions of silage maize genotypes through GGE Biplot

ABSTRACT In yield experiments conducted at different environments, assessment of Genotype × Environment interactions for investigated traits is a quite significant issue for both agronomists and breeders. GGE biplot analysis was employed in this study to assess the Genotype × Trait, Environment × Tr...

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Autores principales:	Kaplan,Mahmut, Kokten,Kagan, Akcura,Mevlut
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2017
Materias:	GGE biplot multienvironment plant trait silage hybrid maize yield Zea mays.
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000300212
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spelling	oai:scielo:S0718-583920170003002122017-11-09Assessment of Genotype × Trait × Environment interactions of silage maize genotypes through GGE BiplotKaplan,MahmutKokten,KaganAkcura,Mevlut GGE biplot multienvironment plant trait silage hybrid maize yield Zea mays. ABSTRACT In yield experiments conducted at different environments, assessment of Genotype × Environment interactions for investigated traits is a quite significant issue for both agronomists and breeders. GGE biplot analysis was employed in this study to assess the Genotype × Trait, Environment × Trait and Trait Association × Environment of five different traits (silage yield [SY], stem diameter [SD], green leaf weight ratio &91;GLWR], green stem weight ratio [GSWR], green corn cob ratio [GCCR] and plant height [PH]) of 25 silage maize (Zea mays L.) genotypes grown in six environments. The biplot graphs created in this study to assess Genotype × Trait, Environment × Trait and Environment × Trait correlation interactions were able to explain respectively 86%, 92%, and 83% of total variation of experiments. Current findings revealed that the genotype G18 (Safak), with the greatest silage yield in Genotype Trait biplot (GT biplot) also had the greatest SD; DIY14 (DIYARBAKIR-2014) with the greatest distance from the origin over Environment Trait (ET-biplot) graph was the most distinctive environment; SD with the greatest vector length was the most distinctive trait; DIY14 and DIY15 environments were the best environments for PH, GSWR, SY and SD. It was concluded that GGE biplot method with different perspectives could reliably be used in assessment of silage characteristics of maize genotypes grown in different environments.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.77 n.3 20172017-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000300212en10.4067/S0718-58392017000300212
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	GGE biplot multienvironment plant trait silage hybrid maize yield Zea mays.
spellingShingle	GGE biplot multienvironment plant trait silage hybrid maize yield Zea mays. Kaplan,Mahmut Kokten,Kagan Akcura,Mevlut Assessment of Genotype × Trait × Environment interactions of silage maize genotypes through GGE Biplot
description	ABSTRACT In yield experiments conducted at different environments, assessment of Genotype × Environment interactions for investigated traits is a quite significant issue for both agronomists and breeders. GGE biplot analysis was employed in this study to assess the Genotype × Trait, Environment × Trait and Trait Association × Environment of five different traits (silage yield [SY], stem diameter [SD], green leaf weight ratio &91;GLWR], green stem weight ratio [GSWR], green corn cob ratio [GCCR] and plant height [PH]) of 25 silage maize (Zea mays L.) genotypes grown in six environments. The biplot graphs created in this study to assess Genotype × Trait, Environment × Trait and Environment × Trait correlation interactions were able to explain respectively 86%, 92%, and 83% of total variation of experiments. Current findings revealed that the genotype G18 (Safak), with the greatest silage yield in Genotype Trait biplot (GT biplot) also had the greatest SD; DIY14 (DIYARBAKIR-2014) with the greatest distance from the origin over Environment Trait (ET-biplot) graph was the most distinctive environment; SD with the greatest vector length was the most distinctive trait; DIY14 and DIY15 environments were the best environments for PH, GSWR, SY and SD. It was concluded that GGE biplot method with different perspectives could reliably be used in assessment of silage characteristics of maize genotypes grown in different environments.
author	Kaplan,Mahmut Kokten,Kagan Akcura,Mevlut
author_facet	Kaplan,Mahmut Kokten,Kagan Akcura,Mevlut
author_sort	Kaplan,Mahmut
title	Assessment of Genotype × Trait × Environment interactions of silage maize genotypes through GGE Biplot
title_short	Assessment of Genotype × Trait × Environment interactions of silage maize genotypes through GGE Biplot
title_full	Assessment of Genotype × Trait × Environment interactions of silage maize genotypes through GGE Biplot
title_fullStr	Assessment of Genotype × Trait × Environment interactions of silage maize genotypes through GGE Biplot
title_full_unstemmed	Assessment of Genotype × Trait × Environment interactions of silage maize genotypes through GGE Biplot
title_sort	assessment of genotype × trait × environment interactions of silage maize genotypes through gge biplot
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000300212
work_keys_str_mv	AT kaplanmahmut assessmentofgenotypetraitenvironmentinteractionsofsilagemaizegenotypesthroughggebiplot AT koktenkagan assessmentofgenotypetraitenvironmentinteractionsofsilagemaizegenotypesthroughggebiplot AT akcuramevlut assessmentofgenotypetraitenvironmentinteractionsofsilagemaizegenotypesthroughggebiplot
_version_	1714205369953157120

Assessment of Genotype × Trait × Environment interactions of silage maize genotypes through GGE Biplot

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