Análises Biplot: conceitos, interpretações e aplicações

Silva, Raphael Rossi Centro de Ciências Agrárias ); Benin, Giovani

doi:10.1590/s0103-84782012000800012

Cited by 28 publications

(24 citation statements)

References 24 publications

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“…The hybrid AGN 30A37H (g7) showed the best stability as it is closest to the center of the biplot (SILVA, BENIN, 2012), while the DKB bi9440 (g10) was the least stable, as shown in Figures 2,3,4 and 5. …”

Section: Resultsmentioning

confidence: 91%

Evaluation of Corn Hybrids Under Contrasting Water Availability Conditions

Buso

2016

Rev. Caatinga

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-The current study aimed to assess adaptability and stability of corn hybrids regarding grain yields when sown in three different seasons in the Brazilian cerrado. The research was carried out at the Experimental Farm of the IF Goiano, campus in Ceres -GO. Pre-sowing fertilization was made with 20 kg ha -1 of nitrogen, 150 kg ha -1 of phosphorus and 80 kg ha -1 of potassium (04-30-16 formulation). Data were analyzed in a random block experimental design. We assessed tem corn hybrids (Truck, Fórmula, P30F53, P3646H, P30F35H, AGN 30A77H, AGN 30A37H, AG 8088PRO, DKB 390 and DKB Bi9440) in three sowing seasons (Nov. 18, 2011; Jan. 31, 2012 and Feb. 20, 2012) with three replications. Harvests were held on Apr. 4, 2012; Jun. 10, 2012 and Jul. 1, 2012. Each hybrid were assessed on yielding; and a graphical analysis was made to contrast hybrids and sowing seasons regarding stability and adaptability. Results showed a significant effect of the interaction between hybrids and sowing times. Therefore, we may state that the best hybrid in an environment would not be necessarily good in another. Thereby, we can infer that drought and corn genetic variability have diverse behaviors in each season. Over the two-dimensional graphics generated by GGE Biplot method, we observed an increased adaptability of AGN 30A77H when sown on Nov. 18, 2011 and on Jan. 31, 2012, followed by Fórmula; however, for P30F35H, it was on Feb. 20, 2012.Keywords: Adaptability. Stability. Drought. AVALIAÇÃO DE HÍBRIDOS DE MILHO EM ÉPOCAS CONTRASTANTES

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Section: Resultsmentioning

confidence: 91%

Evaluation of Corn Hybrids Under Contrasting Water Availability Conditions

Buso

2016

Rev. Caatinga

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“…Research by Silva and Benin (2012) demonstrated the effectiveness of the AMMI model to select the best cultivation environments and the most suitable genotypes for each situation. Benin et al (2012) showed the response of eight wheat genotypes grown in two crops under four management levels, where 73% of the effects were due to the environment for grain yield.…”

Section: Resultsmentioning

confidence: 99%

“…In this context, the use of the AMMI technique (additive main effects and multiplicative interaction analysis) combines analysis of variance (univariate) and the main components (multivariate), where it adjusts the effects of genotypes, environments, and G x E interaction (Zobel et al, 1988;Silva and Benin, 2012). This statistical technique is composed of an additive fraction that brings together the general average, the genotypic and environmental effects, the residual effects composed by the multiplicative proportion of the model, and then the additive and multiplicative terms of the G x E interaction .…”

Section: Introductionmentioning

confidence: 99%

Univariate, multivariate techniques and mixed models applied to the adaptability and stability of wheat in the Rio Grande do Sul State

Szareski¹,

Carvalho²,

Kehl³

et al. 2017

Genet. Mol. Res.

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ABSTRACT. The wheat crop presents sensitivity to the environmental conditions culminating in the genotype x environment interaction, being crucial the use of different methodologies to guide the positioning of genotypes to certain cultivation environments. The objective of this study was to estimate the adaptability and phenotypic stability of wheat genotypes grown in the State of Rio Grande do Sul using univariate and multivariate techniques and mixed models. The yield data of 42 2 V.J. Szareski et al. Genetics and Molecular Research 16 (3): gmr16039735wheat genotypes evaluated in five environments (Cachoeira do Sul, Passo Fundo, Santo Augusto, São Gabriel, and São Luiz Gonzaga) were used in the 2012 and 2013 crop seasons. In each experiment, a randomized complete block design was used, with three replicates. In the evaluation of the genotype x environment interaction, the sum of squares relative to contribution index, the methodology based on the univariate method of Annicchiarico (1992), the multivariate method (AMMI), and the mixed models (REML and MHPRVG) were used. The favorable environments expressed by the univariate method referred to São Gabriel, Cachoeira do Sul, Passo Fundo, Santo Augusto, and São Luiz Gonzaga; for the multivariate method, only Santo Augusto was favorable to the productivity character. The genotypes CD 121 and TBIO Tibagi were adapted and stable for the univariate and multivariate methods. The genotypes TBIO Sinuelo, Quartzo, BRS 327, Mirante, Topázio, Guamirim, TBIO Seleto, Ametista, TBIO Mestre, and BRS Louro were superior through the mixed model approach. The different strategies to estimate the adaptability and phenotypic stability allowed indicating and recommending the best environments and genotypes efficiently to obtain increases in wheat grain yield.

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“…The main purpose of the AMMI analysis is to select models that explain the "pattern" related to the interaction, neglecting the "noise". According to Silva and Benin (2012), there is a greater presence of a "pattern" in the first two axes (PCAs), and there is a gradual increase in "noise" in the second axis due to the loss of degrees of freedom associated with the sum of squares of the GxE interaction, reducing the predictive power of the analysis. Thus, the graphic interpretation was performed considering only the biplots AMMI1 (PCA1 x variable) and AMMI2 (PCA1 x PCA2).…”

Section: Resultsmentioning

confidence: 99%

Implications of the clone by harvest interaction in the selection of sugarcane genotypes in a regionalized program

et al. 2017

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ABSTRACT. The recommendation of sugarcane clones depends on several factors, as the response or performance of the clones over different cuts or harvests. The clone by harvest interaction might be difficult to identify superior clones in the final stages of the sugarcane breeding program. Thus, the objective of this study was to investigate and describe the implications of the genotype by harvest interaction in the adaptability and stability of genotypes and delineation of mega-environments from a set of multi-environment trials. Fifteen clones and four checks were evaluated in eight environments. The trait TPH (tons of pol per hectare) was evaluated in two harvests (plant cane and ratoon cane) in 2010 and 2011. The joint analysis showed significance for harvest (H), environment (E), and genotype (G) effects. The interactions GxE, ExH, GxH, and ExGxH were also significant. The last three-way interaction indicated the differential response of the genotypes over environments, and that it depends on the harvests. The overall mean of the trials was 12.77 TPH. The coefficient of variation was 8.70% and the selective accuracy was 98.63%, indicating high experimental precision. The genotypes G4, G14, and G16 were statistically superior to the check varieties used; however, these genotypes did not show high stability as described by the additive main effects and multiplicative interaction method. There was a specific adaptation between the E7 and E5 environments and the G4 and G5 genotypes, respectively. In general, the grouping of the environments was inconsistent throughout the harvests, except for the E1 and E4 environments, which exhibited similarities for the different genotypes.

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Análises Biplot: conceitos, interpretações e aplicações

Abstract: II

Cited by 28 publications

References 24 publications

Evaluation of Corn Hybrids Under Contrasting Water Availability Conditions

Evaluation of Corn Hybrids Under Contrasting Water Availability Conditions

Univariate, multivariate techniques and mixed models applied to the adaptability and stability of wheat in the Rio Grande do Sul State

Implications of the clone by harvest interaction in the selection of sugarcane genotypes in a regionalized program

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