Consumers motivations for buying local and organic products in developing vs developed countries.

Despite numerous studies reporting on organic consumer profiles, little is known on consumers motivations for buying local and organic products. More precisely, do consumers prefer local products because they want to support local producers or do environment and the question of food miles matter in their choice ? Besides, very little is known about organic consumers in developing countries, since most surveys are generally conducted in developed countries. Our purpose is to fill this double gap. By conducting qualitative surveys based on individual interviews in four developing countries (Brazil, Egypt, Uganda and China) and two European countries, France and Denmark, we plan to study consumers choice for organic products from supermarkets, farmers markets or local organic food network respectively. Products are selected to cover examples of imported organic products that compete with comparable products of local origin. First results from Brazil and France show that French consumers are more concerned by the environment than Brazilian consumers, but that most consumers in both samples are not concerned by food miles and their subsequent environmental impacts. Results also shed light on different patterns related to commitment of supporting small or local farmers, and suggest implications for policy makers.

Consumers motivations for buying local and organic products in developing vs developed countries.

2008

Pesticide bioconcentration modelling for fruit trees.

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.

Pesticide bioconcentration factor estimate in apples.

This work objective was to estimate the bioconcentration factor (BCF) of thirty six pesticides used in the Brazilian integrated apple production systems (IAP), in order to select priority pesticides to be monitored in apples. A hypothetical apple orchard was assumed and the model applied was according to Paraíba (2007) [Pesticide bioconcentration modeling for fruit trees. Chemosphere (66:1468-1475)]. The model relates BCF with plant and pesticide characteristics. The octanol-water partition coefficients of pesticides and their degradation rates in the soil were used. The following plant variables were considered: growth rate, total dry biomass, daily water transpiration rate, and total volume of water necessary to produce one kg of fresh fruit per plant. The pesticide stem-water partition coefficient and the transpiration stream concentration factor were calculated using equations that relate each coefficient with the octanol-water partition coefficient. The pesticide BCF in fruits is an important indicator of the pesticide affinity to fruits, and helps to improve the integrated production systems.