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AMMI analysis to evaluate the adaptability and phenotypic stability of sugarcane genotypes Scientia Agricola
Silveira,Luís Cláudio Inácio da; Kist,Volmir; Paula,Thiago Otávio Mendes de; Barbosa,Márcio Henrique Pereira; Peternelli,Luiz Alexandre; Daros,Edelclaiton.
Sugarcane (Saccharum sp.) is one of the most important crops in Brazil. The high demand for sugarcane-derived products has stimulated the expansion of sugarcane cultivation in recent years, exploring different environments. The adaptability and the phenotypic stability of sugarcane genotypes in the Minas Gerais state, Brazil, were evaluated based on the additive main effects and multiplicative interaction (AMMI) method. We evaluated 15 genotypes (13 clones and two checks: RB867515 and RB72454) in nine environments. The average of two cuttings for the variable tons of pol per hectare (TPH) measure was used to discriminate genotypes. Besides the check RB867515 (20.44 t ha-1), the genotype RB987935 showed a high average TPH (20.71 t ha-1), general...
Tipo: Info:eu-repo/semantics/article Palavras-chave: G × E interaction; Principal components; Multivariate analysis.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162013000100005
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Genotype x environment interaction in cowpea by mixed models Rev. Ciênc. Agron.
Carvalho,Leonardo Castelo Branco; Damasceno-Silva,Kaesel Jackson; Rocha,Maurisrael de Moura; Oliveira,Giancarlo Conde Xavier.
ABSTRACT Several methods have been proposed to measure effects of genotype × environment interaction (G×E) on various traits of interest of plant species, such as grain yield. Among these methods, mixed models using the Restricted Maximum Likelihood (REML)-Best Linear Unbiased Prediction (BLUP) procedure with random genotype effects have been reported as advantageous, since they allow the obtaining of actual genotypic values for cultivation and use. The objective of this work was to evaluate the response of grain yield to different locations and years, and the effects of G×E on the performance of cowpea genotypes by the methodology of mixed models. Twenty genotypes were evaluated under rainfed conditions in 47 locations in 2010, 2011 and 2012 using...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Vigna unguiculata; G × E interaction; BLUP.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902017000500872
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Hybrid maize selection through GGE biplot analysis Bragantia
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.
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...
Tipo: Info:eu-repo/semantics/article Palavras-chave: G × E interaction; Multivariate analysis; Zea mays L.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200166
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Seeding density in wheat: the more, the merrier? Scientia Agricola
Valério,Igor Pirez; Carvalho,Fernando Irajá Félix de; Benin,Giovani; Silveira,Gustavo da; Silva,José Antonio Gonzalez da; Nornberg,Rafael; Hagemann,Thais; Luche,Henrique de Souza; Oliveira,Antônio Costa de.
Adjustment of seeding schemes is one of the crop management techniques that most influences grain yield components. This work aimed to characterize the potential grain yield and its components in wheat (Triticum aestivum L.) genotypes with contrasting tillering ability under different seeding densities and environments. Five experiments were conducted in split-plot design, each with ten cultivars (main plot), sown in five distinct seeding densities (subplots). Experiments were sown in three locations in southern Brazil in the years 2005, 2006 and 2007. The grain yield per plot and its yield components: number of fertile tillers, weight of 1,000 grains, ear weight and number of grains per ear were evaluated. Genotypes with reduced tillering ability...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Triticum aestivum L.; G × E interaction; Tiller number; Yield components.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162013000300006
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