Genetic diversity of a brazilian wine grape germplasm collection based on morphoagronomic traits

The objectives of this study were to evaluate the performance of cultivars, to quantify the variability and to estimate the genetic distances of 66 wine grape accessions in the Grape Germplasm Bank of the EMBRAPA Semi-Arid, in Juazeiro, BA, Brazil, through the characterization of discrete and continuous phenotypic variables. Multivariate statistics, such as, principal components, Tocher's optimization procedure, and the graphic of the distance, were efficient in grouping more similar genotypes, according to their phenotypic characteristics. There was no agreement in the formation of groups between continuous and discrete morpho-agronomic traits, when Tocher's optimization procedure was used. Discrete variables allowed the separation of Vitis vinifera and hybrids in different groups. Significant positive correlations were observed between weight, length and width of bunches, and a negative correlation between titratable acidity and TSS/TTA. The major part (84.12%) of the total variation present in the original data was explained by the four principal components. The results revealed little variability between wine grape accessions in the Grape Germplasm Bank of Embrapa Semi-Arid.

Agronomic and molecular traits of the 'Italia Muscat' clone in Sao Francisco River Valley

The objective of this study was to evaluate agronomic and molecular traits of the 'Italia Muscat' clone and compare it with the cv. 'Italia', providing information to support the cultivation of 'Italia Muscat' this cultivar in the São Francisco River Valley. Agronomic characteristics of both clones were evaluated for two seasons in 2004. The characteristics were phenology, bud break (%), bud fertility (%), yield (kg) mass of bunches (g), length and width of bunches (cm), mass of berries (g), length and diameter of berries (mm), TSS (ºBrix), ATT (% titratable acidity) and TSS/TTA. Molecular analysis of seven SSR markers were carried out. The clone 'Italia Muscat' showed larger berries, mass of bunches and better TSS/TA ratio than 'Italia'. The molecular analysis resulted in the same allelic profile in both clones, highlighting the need to use a larger number of microsatellite markers or other molecular technique to allow their discrimination. Based on their morpho-agronomic characteristics, 'Italia Muscat' seems to be a good table grape cultivar alternative for grape growers of São Francisco River Valley.

Using species richness and functional traits predictions to constrain assemblage predictions from stacked species distribution models

Aim: Modelling species at the assemblage level is required to make effective forecast of global change impacts on diversity and ecosystem functioning. Community predictions may be achieved using macroecological properties of communities (MEM), or by stacking of individual species distribution models (S-SDMs). To obtain more realistic predictions of species assemblages, the SESAM framework suggests applying successive filters to the initial species source pool, by combining different modelling approaches and rules. Here we provide a first test of this framework in mountain grassland communities. Location: The western Swiss Alps. Methods: Two implementations of the SESAM framework were tested: a "Probability ranking" rule based on species richness predictions and rough probabilities from SDMs, and a "Trait range" rule that uses the predicted upper and lower bound of community-level distribution of three different functional traits (vegetative height, specific leaf area and seed mass) to constraint a pool of environmentally filtered species from binary SDMs predictions. Results: We showed that all independent constraints expectedly contributed to reduce species richness overprediction. Only the "Probability ranking" rule allowed slightly but significantly improving predictions of community composition. Main conclusion: We tested various ways to implement the SESAM framework by integrating macroecological constraints into S-SDM predictions, and report one that is able to improve compositional predictions. We discuss possible improvements, such as further improving the causality and precision of environmental predictors, using other assembly rules and testing other types of ecological or functional constraints.