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      Hybrid maize selection through GGE biplot analysis

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          Abstract

          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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          Most cited references19

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          Biplot analysis of multi-environment trial data: Principles and applications

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            GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data

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              GGEbiplot—A Windows Application for Graphical Analysis of Multienvironment Trial Data and Other Types of Two-Way Data

              Weikai Yan (2001)
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                brag
                Bragantia
                Bragantia
                Instituto Agronômico de Campinas (Campinas, SP, Brazil )
                0006-8705
                1678-4499
                June 2019
                : 78
                : 2
                : 166-174
                Affiliations
                [01] Campos dos Goytacazes Rio de Janeiro orgnameUniversidade Estadual do Norte Fluminense orgdiv1Centro de Ciências e Tecnologias Agropecuárias Brazil
                [03] Nossa Senhora da Glória orgnameUniversidade Federal de Sergipe orgdiv1Núcleo de Graduação de Agronomia Brazil
                [04] Petrolina PE orgnameEmbrapa Centro de Pesquisa Agropecuária do Trópico Semiárido Brazil
                [05] Recife Pernambuco orgnameUniversidade Federal Rural de Pernambuco orgdiv1Departamento de Engenharia Agronômica Brazil
                [02] Aracaju Sergipe orgnameEmbrapa Tabuleiros Costeiros Brazil
                Article
                S0006-87052019000200166
                10.1590/1678-4499.20170438
                69b3d414-86b4-40a9-acda-9627924be824

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 18 September 2018
                : 26 December 2017
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 25, Pages: 9
                Product

                SciELO Brazil

                Categories
                Plant Breeding

                multivariate analysis,G × E interaction,Zea mays L
                multivariate analysis, G × E interaction, Zea mays L

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