3 resultados para Inter Session Variability Modelling
Resumo:
The objective of this research was to characterize the inter-annual variability of the viticultural climate of the wine regions of Brazil. The survey used a long sets of climatic data base of regions: in the South if Brazil ? Serra Gaúcha, Serra do Sudeste, Campanha, Campos de Cima da Serra and Planalto Catarinense; in the Northeast of Brazil ? Submédio São Francisco. The ?Géoviticulture MCC System? method was used with its 3 climatic indices: Heliothermal Index (HI), Cool Night Index (CI) and Dryness Index (DI).
Resumo:
The model presented allows simulating the pesticide concentration in fruit trees and estimating the pesticide bioconcentration factor in fruits of woody species. The model allows estimating the pesticide uptake by plants through the water transpiration stream and also the time in which maximum pesticide concentration occur in the fruits. The equation proposed presents the relationships between bioconcentration factor (BCF) and the following variables: plant water transpiration volume (Q), pesticide transpiration stream concentration factor (TSCF), pesticide stem-water partition coefficient (KWood,w), stem dry biomass (M) and pesticide dissipation rate in the soil-plant system (kEGS). The modeling started and was developed from a previous model ?Fruit Tree Model? (FTM), reported by Trapp and collaborators in 2003, to which was added the hypothesis that the pesticide degradation in the soil follows a first order kinetic equation. The model fitness was evaluated through the sensitivity analysis of the pesticide BCF values in fruits with respect to the model entry data variability.
Resumo:
Sapucaia is a tree species originating from the Brazilian Amazon and is widely distributed in Brazil, especially in the mid-north region (Piauí and Maranhão states). Its seeds are rich in calories and proteins, and possess great potential for commercialization. Little is known about the genetic variability in the germplasm of most Lecythis species.