Environmental life cycle assessment of cow milk in a conventional semi-intensive Brazilian production system.

The environmental performance of cow milk produced in a conventional semi-intensive system was assessed using a cradle-to-farm gate attributional life cycle assessment. The impacts of 1 kg FPCM-fat and protein corrected milk were obtained considering six midpoint impact categories from the ReCiPe 2016 method: climate change (CC), terrestrial acidification (TA), freshwater eutrophication (FE), land use (LU), water consumption (WC), and fossil resource scarcity (FRS). The modeling of the product system and calculating the environmental impacts considered the use of SimaPro™ software. Enteric methane and nitrogen emissions and inputs for feeding animals (fertilization for pasture production, use of seed in corn crops, and milk replacer in calves feed) were the main contributors to impacts in milk production in most categories. In addition, the indirect energy use and wastewater generation in milking and milk cooling also were relevant. Literature-based strategies are suggested to mitigate the identified environmental impacts to achieve the best environmental performance without decreasing technical and quality milk production. We emphasize the importance of improving productivity per milk cow, knowing the origin of the supply chain inputs, and using it efficiently to produce animal feeds as the main strategies to improve milk's environmental performance. Changes in allocation methods did not substantially differ in impact categories. Sensitivity analysis foregrounds the consistency of results and conclusions of the current study despite the uncertainties associated with methodological choices, simplifications, suppositions, and the use and adaptation of international databases.

Evaluation of the reduction of methane emission in swine and bovine manure treated with black soldier fly larvae (Hermetia illucens L.).

The study evaluates Hermetia illucens larvae's ability to decrease direct methane emissions and nutrients from cattle and swine manure. Hermetia illucens larvae were put into fresh cattle and swine manure, and the same conditions, without larvae, for the control treatment were established. The methane emissions were measured until the first prepupae appeared. The methane emissions from the bioconversion of animal manure by Hermetia illucens larvae were up to 86% lower than in the control treatments (conventional storage). The cumulative methane emissions from cattle and swine manure bioconversion were 41.4 ± 10.5 mg CH4 kg-1 and 134.2 ± 17.3 mg CH4 kg-1, respectively. Moreover, Hermetia illucens larvae could reduce 32% of dry matter, 53% nitrogen, 14% phosphorus, and 42% carbon in swine manure. Meanwhile, in cattle manure, reductions of 17% of dry matter, 5% of nitrogen, 11% of phosphorus, and 15% of carbon and pH reductions in both swine and cattle manure were found. Thus, the production of larvae was higher in swine manure than cattle manure. Furthermore, the larvae frass from swine manure was appropriate for agricultural use, unlike the larvae frass from cattle manure requiring further processing. These results reveal the ability of Hermetia illucens larvae to mitigate methane emissions from animal manure and show it to be a promising technology for manure treatment, with great potential to promote a circular economy in the livestock sector.

Life cycle assessment of cheese production process in a small-sized dairy industry in Brazil.

Current research identifies, analyzes, and suggests improvements for minimizing environmental impacts in the manufacture of cheese using the life cycle assessment. Data collection and development of the inventory were performed in a small-sized dairy industry in Brazil. A cradle-to-gate approach was conducted based on the primary data from cheese production and secondary data from databases. The ReCiPe method was used for the impact assessment, considering the categories climate change, ozone depletion, terrestrial acidification, freshwater eutrophication, photochemical oxidant formation, particulate matter formation, water depletion, and fossil depletion. A sensitivity analysis was performed including evaluations of different fuels for generating thermal energy, strategies for cleaning of dairy plant and utensils, variations in the way of cheese production based on the fat content, and production percentage changes. The results showed that the skimmed milk and thermal energy productions, electricity usage, and water consumptions were the main elementary flows. The pallet residues showed the best to be used as fuel for thermal energy. Detergent combinations did not influence the impact categories. There was a direct relationship between fat content range (20 to 30%) and the contribution in six impact categories. Changes from 20% in cheese allocation factor influenced the impact assessment results. LCA allowed identifying the main elementary flow of cheese production, providing valuable information with the potential to verify opportunities for on-site improvements.

Reducing the life cycle GHG emissions of microalgal biodiesel through integration with ethanol production system.

Despite environmental benefits of algal-biofuels, the energy-intensive systems for producing microalgae-feedstock may result in high GHG emissions. Trying to overcome energy-costs, this research analyzed the biodiesel production system via dry-route, based on Chlorella vulgaris cultivated in raceways, by comparing the GHG-footprints of diverse microalgae-biodiesel scenarios. These involved: the single system of biomass production (C0); the application of pyrolysis on the residual microalgal biomass (cake) from the oil extraction process (C1); the same as C0, with anaerobic cake co-digested with cattle manure (C2); the same conditions as in C1 and C2, by integrating in both cases (respectively C3 and C4), the microalgae cultivation with an autonomous ethanol distillery. The reduction of GHG emissions in scenarios with no such integration (C1 and C2), compared to CO, was insignificant (0.53% and 4.67%, respectively), whereas in the scenarios with integration with ethanol production system, the improvements were 53.57% for C3 and 63.84% for C4.