Hybrid maize selection through GGE biplot analysis

ABSTRACT The cultivation of genotypes non-adapted to the cultivation region of interest is among the main factors responsible for low yield. The aim of the present study is to select hybrid maize through GGE biplot analysis and to assess its adaptability and stability in different environments in Northeastern Brazil. Twenty-five hybrid maize cultivars were assessed in ten different environments in Northeastern Brazil in 2012 and 2013 based on the randomized block design, with two replications. The analysis of variance and assessment of genotype adaptability and stability were made through GGE biplot analysis, based on grain yield. Analysis of variance results showed different performances depending on the genotype, as well as genotype/environment interaction. The biplot analysis was efficient on data interpretation and represented 63.73% of the total variation in the first two main components, it also allowed classifying the ten environments into three macro-environments. Most environments were positively correlated. Hybrids 2 B 604 HX, 30 A 95 HX, 2 B 587 HX and 2 B 710 HX were responsive and stable. Hybrid 30 A 16 HX was recommended for macro-environments2 and 3. Cultivar 30 A 68 HX was recommended to environment 1. São Raimundo das Mangabeiras and Nova Santa Rosa counties were discriminating and representative. Nossa Senhora das Dores, Umbaúba, Teresina, Brejo, Frei Paulo, Colinas and Balsa counties were ambiguous and non-recommended for further evaluations.

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Main Authors: Oliveira,Tâmara Rebecca Albuquerque de, Carvalho,Hélio Wilson Lemos de, Oliveira,Gustavo Hugo Ferreira, Costa,Emiliano Fernandes Nassau, Gravina,Geraldo de Amaral, Santos,Rafael Dantas dos, Carvalho Filho,José Luiz Sandes de
Format: Digital revista
Language:English
Published: Instituto Agronômico de Campinas 2019
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200166
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spelling oai:scielo:S0006-870520190002001662019-06-27Hybrid maize selection through GGE biplot analysisOliveira,Tâmara Rebecca Albuquerque deCarvalho,Hélio Wilson Lemos deOliveira,Gustavo Hugo FerreiraCosta,Emiliano Fernandes NassauGravina,Geraldo de AmaralSantos,Rafael Dantas dosCarvalho Filho,José Luiz Sandes de G × E interaction multivariate analysis Zea mays L ABSTRACT The cultivation of genotypes non-adapted to the cultivation region of interest is among the main factors responsible for low yield. The aim of the present study is to select hybrid maize through GGE biplot analysis and to assess its adaptability and stability in different environments in Northeastern Brazil. Twenty-five hybrid maize cultivars were assessed in ten different environments in Northeastern Brazil in 2012 and 2013 based on the randomized block design, with two replications. The analysis of variance and assessment of genotype adaptability and stability were made through GGE biplot analysis, based on grain yield. Analysis of variance results showed different performances depending on the genotype, as well as genotype/environment interaction. The biplot analysis was efficient on data interpretation and represented 63.73% of the total variation in the first two main components, it also allowed classifying the ten environments into three macro-environments. Most environments were positively correlated. Hybrids 2 B 604 HX, 30 A 95 HX, 2 B 587 HX and 2 B 710 HX were responsive and stable. Hybrid 30 A 16 HX was recommended for macro-environments2 and 3. Cultivar 30 A 68 HX was recommended to environment 1. São Raimundo das Mangabeiras and Nova Santa Rosa counties were discriminating and representative. Nossa Senhora das Dores, Umbaúba, Teresina, Brejo, Frei Paulo, Colinas and Balsa counties were ambiguous and non-recommended for further evaluations.info:eu-repo/semantics/openAccessInstituto Agronômico de CampinasBragantia v.78 n.2 20192019-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200166en10.1590/1678-4499.20170438
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language English
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author Oliveira,Tâmara Rebecca Albuquerque de
Carvalho,Hélio Wilson Lemos de
Oliveira,Gustavo Hugo Ferreira
Costa,Emiliano Fernandes Nassau
Gravina,Geraldo de Amaral
Santos,Rafael Dantas dos
Carvalho Filho,José Luiz Sandes de
spellingShingle Oliveira,Tâmara Rebecca Albuquerque de
Carvalho,Hélio Wilson Lemos de
Oliveira,Gustavo Hugo Ferreira
Costa,Emiliano Fernandes Nassau
Gravina,Geraldo de Amaral
Santos,Rafael Dantas dos
Carvalho Filho,José Luiz Sandes de
Hybrid maize selection through GGE biplot analysis
author_facet Oliveira,Tâmara Rebecca Albuquerque de
Carvalho,Hélio Wilson Lemos de
Oliveira,Gustavo Hugo Ferreira
Costa,Emiliano Fernandes Nassau
Gravina,Geraldo de Amaral
Santos,Rafael Dantas dos
Carvalho Filho,José Luiz Sandes de
author_sort Oliveira,Tâmara Rebecca Albuquerque de
title Hybrid maize selection through GGE biplot analysis
title_short Hybrid maize selection through GGE biplot analysis
title_full Hybrid maize selection through GGE biplot analysis
title_fullStr Hybrid maize selection through GGE biplot analysis
title_full_unstemmed Hybrid maize selection through GGE biplot analysis
title_sort hybrid maize selection through gge biplot analysis
description ABSTRACT The cultivation of genotypes non-adapted to the cultivation region of interest is among the main factors responsible for low yield. The aim of the present study is to select hybrid maize through GGE biplot analysis and to assess its adaptability and stability in different environments in Northeastern Brazil. Twenty-five hybrid maize cultivars were assessed in ten different environments in Northeastern Brazil in 2012 and 2013 based on the randomized block design, with two replications. The analysis of variance and assessment of genotype adaptability and stability were made through GGE biplot analysis, based on grain yield. Analysis of variance results showed different performances depending on the genotype, as well as genotype/environment interaction. The biplot analysis was efficient on data interpretation and represented 63.73% of the total variation in the first two main components, it also allowed classifying the ten environments into three macro-environments. Most environments were positively correlated. Hybrids 2 B 604 HX, 30 A 95 HX, 2 B 587 HX and 2 B 710 HX were responsive and stable. Hybrid 30 A 16 HX was recommended for macro-environments2 and 3. Cultivar 30 A 68 HX was recommended to environment 1. São Raimundo das Mangabeiras and Nova Santa Rosa counties were discriminating and representative. Nossa Senhora das Dores, Umbaúba, Teresina, Brejo, Frei Paulo, Colinas and Balsa counties were ambiguous and non-recommended for further evaluations.
publisher Instituto Agronômico de Campinas
publishDate 2019
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200166
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