Gray Water Footprint of pesticides applied to Tommy Atkins mango crop in the São Francisco Valley, Brazil
Gray Water Footprint (GWF); Pesticide Mixtures; Tommy Atkins mango.
Mango cultivation is observed in all localities, particularly in the Northeast region of the São Francisco Valley. One of the main cultivars in the region is the Tommy Atkins mango. The success of mango crop in the semi-arid region is attributed to the year-round production differential, facilitated by the irrigation system that utilizes water from the São Francisco River, and the use of pesticides, particularly growth regulators, to promote floral induction. However, the intensive use of pesticides in food production has raised concerns in the environmental and public health contexts. Additionally, mango production in the region generates a high water footprint. Pesticides applied in agriculture can contaminate both surface and groundwater bodies through surface runoff and leaching. Therefore, a viable approach to assess the volume of water contaminated by pesticide mixtures is through the use of grey water footprint. In this context, the main objective of this study was to assess the grey water footprint of the pesticide mixtures applied in Tommy Atkins mango crop in the São Francisco Valley. To achieve this objective, the soil characterization of the cultivation plot was conducted, the potential contamination of water bodies by pesticides was assessed using the GUS Index and GOSS method, and two models, Hoekstra et al. (2011) and Paraiba et al. (2014), were applied to assess the Grey Water Volume (GWV) and elaborate a ranking pesticide according to the GWV they generate. The results indicate that, despite the sandy and leaching-prone soil in the region, the active ingredients applied in the crop can be considered of low potential for groundwater contamination through leaching and of low to medium risk of contaminating surface water bodies. The GWV of the pesticide mixture was in the order of magnitude of 106 m3 ha-1 for the Hoekstra et al. (2011) model and 107 m3 ha-1 for the Paraiba et al. (2014) model. It can be concluded that the Paraiba et al. (2014) model is more environmentally conservative, as it considers toxicity to non-target organisms. Furthermore, it can be concluded that the grey water footprint of the pesticide mixtures applied to the crop was high in both models. There are no other studies in the region that have conducted this estimation, thus the results found may serve as an important tool for selecting fewer polluting pesticides to be applied to the crop.