Yield stability and adaptability of maize hybrids based on GGE biplot analysis characteristics

Balestre, Márcio; Souza, João Cândido de; Pinho, Renzo Garcia Von; Oliveira, Rogério Lunezzo de; Paes, José Mauro Valente

doi:10.12702/1984-7033.v09n03a03

Cited by 39 publications

(42 citation statements)

References 19 publications

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“…Moreover, by means of this method, it was apparently established that high and stable yields could be attained only in specific environment. Other researchers observed that GGE biplot analysis is a suitable device for detecting experimental environments to select best genotypes in field crops as well (Balestre et al, 2009;Ilker et al, 2009;Oliveira et al, 2010;Tonk et al, 2011;Khalil et al, 2011;Beyene et al, 2011, Nzuve et al, 2013Mortazavian et al, 2014;Miah et al, 2015).…”

Section: Relationship Among the Environmentsmentioning

confidence: 99%

“…Genotype × environment interaction (GE) have shown there supremeness for delineating stability of genotypes and have partitioned variation that better aid for selection of consistent stable genotypes in many different studies (Dehghani et al, 2006;Yan et al, 2007;Sabaghnia & Sabaghpour, 2008). There are several methods for stability analysis among which GGE biplot analysis was used in the present study to deduce stability of the crop with aim to investigate the stability of seed yield in amaranths and graphically summarize and considerate the assets of G and GE interaction (Yan & Kang, 2003;Samonte et al, 2005;Dehghani et al, 2009, Balestre et al, 2009Oliveira et al, 2010;Tonk et al, 2011). Present study was undertaken for the first time to gather information about GE interaction of different amaranth genotypes for high seed yield using three year data using GGE biplot analysis.…”

Section: Introductionmentioning

confidence: 99%

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GGE biplot analysis for yield performance of grain Amaranth genotypes across different environments in western India

Pagi¹,

Prajapati²,

Pachchigar³

et al. 2017

JEBAS

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Stable performance of grain amaranths genotypes at specific environment is critical for obtaining high and consistent yield. This study was conducted to assess grain yield stability of thirteen genotypes in varied environments in three successive growing seasons and effects of genotype (G) and genotype×environment (GE) interaction were illustrate graphically based on "what-won-where" to advocate genotypes for a specific environment, using GGE biplot. Result of study revealed that GGE biplot was effective to recognize stable and highest yield (1648.92 kg/ha) genotype as G5 followed by G6 (1457.24 kg/ha) and G3 (1268.62 kg/ha) genotypes while the genotype G7 had the lowest grain yield and was the least stable across varying environments. This study could be aid tool for endorsement of amaranths genotypes for specific environment, taking into elucidation the peculiarities of genotypes and growing stipulation. KEYWORDS GGE biplotGrain amaranths Grain yieldWhat-won-where

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Section: Relationship Among the Environmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

GGE biplot analysis for yield performance of grain Amaranth genotypes across different environments in western India

Pagi¹,

Prajapati²,

Pachchigar³

et al. 2017

JEBAS

View full text Add to dashboard Cite

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“…Entretanto, Balestre et al (2009) comparando os métodos GGE Biplot e AMMI afirmam que o modelo GGE Biplot é superior ao AMMI apenas quando há a seleção do AMMI1, neste caso há superioridade da GGE Biplot devido à maior captação da soma de quadrados e acurácia preditiva, enquanto o AMMI2 foi superior. Segundo Carbonell et al (2007), o método REML/ BLUP é superior à análise AMMI, pois os efeitos gené-ticos e da interação são tratados como fixos em AMMI, atuando apenas em nível fenotípico, enquanto REML/ BLUP atua em nível genotípico.…”

Section: Introductionunclassified

Verificação da adaptabilidade e estabilidade de populações de cenoura pelos métodos AMMI, GGE biplot e REML/BLUP

Silva¹,

Carvalho²,

Vieira³

et al. 2011

Bragantia

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ResumoO objetivo desse estudo foi verificar a adaptabilidade e estabilidade de populações de cenoura diante de ambientes com cultivo orgânico e convencional e realizar a comparação entre as metodologias estatísticas utilizadas. O trabalho foi desenvolvido em 2007 e 2008, em cinco locais. Em São Gotardo (MG); Irecê (BA) e Gama (DF) foi realizado cultivo convencional e em PAD (DF) (Programa de Assentamento Dirigido do Distrito Federal) e Gama (DF) foi utilizado o sistema de cultivo orgânico. O delineamento experimental utilizado foi o de blocos ao acaso com três repetições e parcelas de 1 m 2 . Foram avaliadas sete populações de cenoura do grupo Brasilia: 0912545, 0912532, 0912520, BRS Planalto, Esplanada, Brasília e Alvorada. Aos cem dias após a semeadura, foi determinada em cada parcela, em gramas, a massa das raízes com padrão comercial. Para a avaliação da adaptabilidade e estabilidade foram aplicados os métodos AMMI, GGE Biplot e REML/BLUP. As análises AMMI e GGE Biplot foram bastante semelhantes na verificação da adaptabilidade e estabilidade das populações de cenoura, e GGE Biplot agrupou de maneira mais clara os ambientes mais favoráveis e desfavoráveis. A análise REML/BLUP se destacou das demais e apesar de não informar sobre o agrupamento de locais mais semelhantes, apresenta os resultados em função de valores genotípicos levando em consideração os parâmetros de adaptabilidade e estabilidade. As populações com melhor adaptabilidade e estabilidade foram 0912532, BRS Planalto e 0912520.Palavras-chave: Daucus carota L., interação populações x ambientes, análise multivariada, modelos mistos. Verification of the adaptability and stability of carrot populations by AMMI, GGE Biplot and REML/BLUP methods AbstractThe aim of this study was to verify the adaptability and stability of carrot populations for organic and conventional production systems and to draw a comparison among the used statistical methodologies. The study was carried out during 2007 and 2008, at five sites: conventional cultivation was performed in Sao Gotardo (MG), Irece (BA) and Gama (DF); and organic production system was performed in PAD-DF and Gama (DF). The experiment was arranged in complete randomized block design with tree replications and plots of 1 m 2 . Seven carrot populations from the Brasilia group were evaluated: 0912545, 0912532, 0912520, BRS Planalto, Esplanada, Brasilia and Alvorada. One-hundred days after sowing, the root mass with commercial value was evaluated in each plot. The methodologies AMMI, GGE Biplot and REML/BLUP were applied for evaluating the adaptability and stability. AMMI and GGE Biplot obtained very similar results regarding adaptability and stability of carrot populations; however GGE Biplot grouped the more favorable and unfavorable environments more clearly. The REML/BLUP analysis did not group of the most similar areas; however, it presented the results as function of genotypic values taking into account the parameters of adaptability and stability. The populations that presented the best adaptability and...

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“…Besides, although the GGE M Balestre et al biplot analysis is very similar to AMMI 1, it usually explains a greater proportion of G + GE and could, in most cases, result in a more accurate graphic (Yan et al 2007, Gauch et al 2008, Balestre et al 2009a). This statement can however not be taken as a rule (Balestre et al 2009b).…”

Section: Introductionmentioning

confidence: 99%

Stability and adaptability of upland rice genotypes

Balestre

Santos²,

Soares³

et al. 2010

Crop Breed. Appl. Biotechnol.

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Yield stability and adaptability of maize hybrids based on GGE biplot analysis characteristics

Abstract: -

Cited by 39 publications

References 19 publications

GGE biplot analysis for yield performance of grain Amaranth genotypes across different environments in western India

GGE biplot analysis for yield performance of grain Amaranth genotypes across different environments in western India

Verificação da adaptabilidade e estabilidade de populações de cenoura pelos métodos AMMI, GGE biplot e REML/BLUP

Stability and adaptability of upland rice genotypes

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