Este trabalho teve como objetivo comparar a adaptabilidade e estabilidade de cultivares de café quanto à média de produtividade anual e de biênios, pelo método de EBERHART & RUSSEL (1996), e selecionar cultivares de café para o cultivo orgânico em Minas Gerais. Os experimentos foram conduzidos em três locais, em delineamento de blocos casualizados com trinta genótipos e três repetições. Uma análise se baseou na produtividade média anual de quatro colheitas (2005/2006, 2006/2007, 2007/2008 e 2008/2009) com o total de doze ambientes. A outra análise considerou a média de dois biênios (2005/2006 e 2006/2007; 2007/2008 e 2008/2009) com o total de seis ambientes. A análise em que se considerou a média da produtividade do biênio apresentou redução expressiva do coeficiente de variação ambiental. Por isso, foi possível identificar mais cultivares com adaptabilidade e estabilidade para o cultivo orgânico. Conclui-se que a análise de adaptabilidade e estabilidade com base na produtividade de biênio é mais segura para a seleção de cultivares. Considerando essa premissa, as cultivares 'Catucaí Vermelho 36/6', 'Catuaí Vermelho IAC 15' e 'Siriema 842' são indicadas somente para os ambientes favoráveis. As cultivares 'Sabiá 708', 'IBC Palma 1', 'Catucaí Amarelo 24/137', 'Oeiras MG 6851' e as linhagens H518 e H514 são indicadas para o cultivo orgânico em locais com ambientes similares aos avaliados em Minas Gerais.

The objective of the present study was to test and establish mathematical models to estimate the leaf area of Garcinia brasiliensis Mart. through linear dimensions of the length, width and product of both measurements. In this way, 500 leaves of trees with age between 4 and 6 years were collected from all the cardinal points of the plant in the municipality of São Mateus, North of the State of Espírito Santo, Brazil. The length (L) along the main midrib, the maximum width (W), the product of the length with the width (LW) and the observed leaf area (OLA) were obtained for all leaves. From these measurements were adjusted linear equations of first degree, quadratic and power, in which OLA was used as dependent variable as function of L, W and LW as independent variable. For the validation, the values of L, W and LW of 100 random leaves were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). The values of the means of ELA and OLA were tested by Student’s t test 5% of probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott’s index d for all proposed models were also determined. The choice of the best model was based on the non significant values in the comparison of the means of ELA and OLA, values of MAE and RMSE closer to zero and value of the index d and coefficient of determination (R2) close to unity. The equation that best estimates leaf area of Garcinia brasiliensis Mart. in a way non-destructive is the power model represented by por ELA = 0.7470(LW)0.9842 and R2 = 0.9949.

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Abstract:This study aimed to identify promising arabica coffee genotypes for organic systems. The experiments were arranged in a randomized block design, with 30 genotypes and three replications. The adaptability and stability analysis was carried out using the modified centroid method, considering the mean yield of two biennia

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