Title:	Hybrid maize selection through GGE biplot analysis.
Authors:	OLIVEIRA, T. R. A. de CARVALHO, H. W. L. de OLIVEIRA, G. H. F. COSTA, E. F. N. GRAVINA, G. de A. SANTOS, R. D. dos CARVALHO FILHO, J. L. S. de
Affiliation:	TÂMARA REBECCA ALBUQUERQUE DE OLIVEIRA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO HELIO WILSON DE LEMOS CARVALHO, CPATC GUSTAVO HUGO FERREIRA OLIVEIRA, UNIVERSIDADE FEDERAL DE SERGIPE EMILIANO FERNANDES NASSAU COSTA, CPATC GERALDO DE AMARAL GRAVINA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIRO RAFAEL DANTAS DOS SANTOS, CPATSA JOSÉ LUIZ SANDES DE CARVALHO FILHO, UNIVERSIDADE FEDERAL RURAL DE PERNAMBUCO.
Date Issued:	2019
Citation:	Bragantia, v. 78, n. 2, p. 166-174, 2019.
Description:	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.
Thesagro:	Milho Melhoramento Genético Vegetal
NAL Thesaurus:	Plant breeding
Keywords:	Melhoramento de plantas Análise biplot GGE Analise multivariada Seleção híbrida
DOI:	10.1590/1678-4499.20170438
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CPATSA)