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.

When does charisma matter for top-level leaders? Effect of attributional ambiguity

One stream of leadership theory suggests leaders are evaluated via inferential observer processes that compare the fit of the target to a prototype of an ideal (charismatic) leader. Attributional theories of leadership suggest that evaluations depend on knowledge of past organizational performance, which is attributed to the leader's skills. We develop a novel theory showing how inferential and attributional processes simultaneously explain top-level leader evaluation and ultimately leader retention and selection. We argue that observers will mostly rely on attributional mechanisms when performance signals clearly indicate good or poor performance outcomes. However, under conditions of attributional ambiguity (i.e., when performance signals are unclear), observers will mostly rely on inferential processes. In Study 1 we tested our theory in an unconventional context-the U.S. presidential election-and found that the two processes, due to the leader's charisma and country economic performance, interact in predicting whether a leader is selected. Using a business context and an experimental design, in Study 2 we show that CEO charisma and firm performance interact in predicting leader retention, confirming the results we found in Study 1. Our results suggest that this phenomenon is quite general and can apply to various performance domains.