Comparing Biplot Multivariate Analyses with Eberhart and Russell’ method for genotype x environment interaction

Namorato, Heraldo; Miranda, Glauco Vieira; Souza, Leandro Vagno de; Oliveira, Lucimar Rodrigues de; DeLima, Rodrigo Oliveira; Mantovani, Éder Eduardo

doi:10.12702/1984-7033.v09n04a03

Cited by 22 publications

(12 citation statements)

References 22 publications

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“…The highest difference is determined for the main effect of location (65.58%), while the differences related to G, G )L, G )Y, and G )Y )L totally reach (8.579%), which demonstrates the diversity of the tested environments. A comparable percent has already been reported by Alwala (2010) and Namorato et al (2009). As is indicated in Table 1, the highest mean yields are attributed to G2, G1, G12, G8, G15 and G16, respectively; their mean yields are classified in a statistic group using Duncan method.…”

Section: Anova Results and Joint Regression Analysissupporting

confidence: 77%

Evaluation of genotype×environment interaction and stability of corn hybrids and relationship among univariate parametric methods

et al. 2014

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Changizi, M., Choukan, R., Heravan, E. M., Bihamta, M. R. and Darvish, F. 2014. Evaluation of genotype×environment interaction and stability of corn hybrids and relationship among univariate parametric methods. Can. J. Plant Sci. 94: 1255–1267. There have been many approaches available in multi-location crop variety trial. However, the relationship among these approaches is not understood. In this study, therefore, grain yields of 16 corn hybrids were measured in 12 locations in Iran in 2011 and 2012 in order to compare the 23 parametric methods and to assess stability and adaptability of the hybrids. The combined ANOVA indicated that variances due to the genotypes, environments and genotype×environment interaction were substantially significant, which represents great variation among them. Principal component analysis based on rank correlation matrix indicated that stability methods can be classified into four groups. The group related to the dynamic concept and strongly associated with mean grain yield consisted of the measures, superiority index (Pi), desirability index (DI), geometric adaptability index (GAI) and genotypic stability (Di2 ). This group was more useful in agronomic goals in comparison with other methods. The second group also indicated the dynamic concept contained slope of regression models. The third group reflected the static concept included, the environmental variance (EV), the variance in regression deviation (S2di) and type IV stability concept ([Formula: see text]). The fourth group impressed concurrently by grain yield and stability included the measures coefficient of variability (CV), Wrick's ecovalence (W2), Shukla's stability variance (SH), Plaisted and Peterson's parameter (pp59), Plaisted's parameter (p60), yield reliability index (Ii), residual MS of regression models and coefficient of determination (R 2). Based on both concepts of stability (dynamic and static), hybrids (KLM76002/3×MO17), (KLM77002/10-5-1×K19/1) and (K47/2×MO17) were the most stable and (KSC704), (KSC720 (K74/1×K19)) and (K48/3×K18) were found to be the most adaptable to favorable environments. The methods of Pi, Di 2 , DI and GAI were more useful and more convenient than other methods. [Formula: see text] and [Formula: see text] showed an acceptable static concept of stability methods whereas study [Formula: see text] was more efficient than [Formula: see text].

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Section: Anova Results and Joint Regression Analysissupporting

confidence: 77%

Evaluation of genotype×environment interaction and stability of corn hybrids and relationship among univariate parametric methods

et al. 2014

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“…Entretanto, a maioria desses métodos não é capaz de explicar adequadamente a resposta dos genótipos quando submetidos a cultivo em diferentes localidades (Osmanzai e Sharma, 2008;Namorato et al, 2009;Zobel et al, 1988;Duarte e Zimmerman, 1994).…”

Section: Introductionunclassified

“…Há vários estudos comparando os métodos AMMI e GGE Biplot, e em alguns há evidências da superioridade da metodologia GGE Biplot e outros da AMMI (Yan et al, 2000;Gauch, 2006;Gauch et al, 2008;Yan et al, 2007;Asfaw et al, 2009;Namorato et al, 2009).…”

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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“…In this study, Cultivar superiority and GGE biplot were significantly correlated for grain yield, days to 50% flowering and days to 50% physiological maturity; with a difference in ranking of genotypes. Variation in ranking of genotypes was also reported by Parmar et al (2012) when they compared nonparametric tests in rice; Mosleh et al (2012) when they compared Wricke's ecovalence, Shukla stability variance, rank test, and Eberhart and Russell;and Namorato et al (2009) when they compared AMMI and Eberhart and Russell methods in maize. The inconsistency in ranking was also reported by Alberts (2004) and Khosa (2012) when cultivar superiority, Finlay and Wilkinson, Wricke's ecovalence and ASVi were compared in maize.…”

Section: Discussionmentioning

confidence: 64%

Comparison and suitability of genotype by environment analysis methods for yield-related traits of pearl millet

Lubadde¹,

Ebiyau²,

Akello³

et al. 2017

Uganda Journal of Agricultural Sciences

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Pearl millet (Pennisetum glaucum (L.) R. Br.) is an important food security and income crop for households living in semi-arid zones in Uganda. However, the genotype by environment interaction, in addition to the several methods used for its assessment, complicates selection of varieties adapted to such semi-arid areas. The objective of this study, therefore, was to compare common methods used to assess stability and adaptability of improved genotypes. Seventy six genotypes were planted in four environments in an alpha experimental design with two replications. Results showed that genotype by environment interactions were significant at p<0.05 for grain yield, days to 50% flowering and 50% physiological maturity, percentage of productive tillers and panicle area. Results further showed inconsistency in ranking of genotypes between methods; although Cultivar Superiority, REML, Yield Stability Index and GGE biplot were consistently correlated and identified high yielding and stable genotypes.

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Comparing Biplot Multivariate Analyses with Eberhart and Russell’ method for genotype x environment interaction

Cited by 22 publications

References 22 publications

Evaluation of genotype×environment interaction and stability of corn hybrids and relationship among univariate parametric methods

Evaluation of genotype×environment interaction and stability of corn hybrids and relationship among univariate parametric methods

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

Comparison and suitability of genotype by environment analysis methods for yield-related traits of pearl millet

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