MONTHLY PERFORMANCE OF AÇAI PROGENIES USING DENDROGRAM AND GGE BIPLOT

Abstract

The national and international market has increased the consumption of the pulp of the açai fruit due to the discovery of its nutraceutical properties, demanding research to meet this growth and circumvent the problem of seasonal production, in addition the quantity of progenies prevents the correct interpretation of the graphic analyzes, therefore, this study aimed to evaluate 76 açai tree progenies in order to identify those with superior performance and seasonal behavior, combining multivariate analysis, grouping by dendrogram and GGE Biplot analysis. The experimental design adopted was randomized blocks with two replications and five plants per plot. The evaluated characteristics were: FF - bunches number with green fruits; FM - mature bunches number and; TM - cluster size. The conclusions were that the combination of the analyzes proves to be necessary, important and efficient to allow the results to be interpreted; the best progeny is P50, followed by P68, P12, P30, P29 and P70, in order of performance, adding the progenies P52 and P55 by the dendrogram; there is genetic variability due to the individual contributions to the GxA interaction, as well as the months, which should be better known to guide genetic improvement; June represents all other months, which should be adopted when it is impossible to evaluate in more months; the last four months of the rainy season (March and June) and the first two months of drought (July and August), should be prioritized in the evaluations as it allows greater differentiation between the progenies.