103 research outputs found

    Análisis retrospectivo y prospectivo de la desnutrición en Argentina

    Get PDF
    Los primeros años de vida son fundacionales para el desarrollo físico, emocional y cognitivo de una persona. Todo lo que suceda o no, tendrá un impacto a lo largo del ciclo de vida. Los modelos que estiman costos en desnutrición parten de la premisa de que un niño con desnutrición infantil posee una probabilidad adicional de padecer determinados eventos en comparación con un niño sano. Los consecuencias serán de corto, mediano y largo plazo siendo posible estimar efectos en salud - enfermedad y mortalidad - educación - repitencia y abandono - y productividad - pérdida de oferta laboral y menores ingresos por menor acumulación de capital humano. El análisis económico permite expresar en dinero cada uno de los efectos mencionados con el fin de estimar cuál es el costo de oportunidad asociado a la desnutrición infantil. En decir, si la prevalencia de desnutrición fuera cero, habría una suma de dinero que podría ser destinada a otros fines. El presente estudio estimó que los costos de la desnutrición en Argentina para el año 2010 ascendieron a U$S 2360 millones de dólares expresados a paridad de poder de compra que equivalen al 30% de la inversión nacional en primera infancia de dicho año

    Life Cycle Assessment of Iberian Traditional Pig Production System in Spain

    Get PDF
    Traditional Iberian pig production is characterized by outdoor systems that produce animals fed with natural resources. The aim of this study was to assess the environmental impacts of such systems through Life Cycle Assessment. Environmental impacts were analysed per kilogram of live weight at farm gate. Iberian pig production in montanera had the lowest impacts for climate change (CC), acidification (AC), eutrophication (EU) and cumulative energy demand (CED), being 3.4 kg CO2 eq, 0.091 molc H+ eq, 0.046 kg PO43− eq, and 20.7 MJ, respectively, due to the strict use of natural resources (acorns and grass) during the fattening period. As Iberian farms had a greater dependence on compound feed in cebo campo, environmental impacts on CC, AC, EU and CED were 22, 17, 95 and 28% higher, respectively, than with montanera. For land occupation (LO), however, cebo campo had a lower impact (31.6 m2·year) than montanera (43.0 m2·year) system. Traditional Iberian pig production systems have environmental impacts higher than conventional systems studied in literature but are similar to other traditional systems. Based on the present assessment, it is necessary to account for the contribution of emissions resulting from the consumption of natural resources to avoid the underestimation of environmental impacts.info:eu-repo/semantics/publishedVersio

    Ecoconception des aliments destinés aux porcs : analyse d’incertitude

    Get PDF
    Reducing environmental impacts of the livestock sector remains a priority. Formulating eco-feeds with lower impacts can be used as one mechanism. Doing so requires knowledge about feedstuff impacts, such as those contained in the ECOALIM database. As this database provides average values at a national scale, it can have high uncertainty due to the large variability in production techniques and soil/climate contexts for crops. Thus, the purpose of this study was to assess the relevance of eco-designing feed based on average national values. Uncertainty analysis was performed considering the variability in impact of the main crops used for pig feeds: wheat, maize, barley, rapeseed and sunflower and their processed co-products. This was applied to formulate eco-feeds within various economic contexts and conditions of feedstuff availability. A random sample (n = 500-1000) was created by drawing environmental impact values from a normal distribution truncated by minimum and maximum values. Each dataset was used to compare impacts of the eco-feed with those of an average standard feed. The effect of incorporation rates of feedstuffs was also analysed. For the impacts “energy consumption” and “climate change”, and for many feedstuffs, the use of national average data of environmental impacts appeared suitable for an eco-design implementation by feed manufacturers. Nonetheless, the ECOALIM dataset needs to be enriched with more detailed data for certain feedstuffs, such as maize and wheat, and also for certain impacts, such as “phosphorus use” and “land use”.Réduire les impacts environnementaux des productions animales reste une priorité. Formuler des éco-aliments générant de moindres impacts environnementaux peut constituer un levier d’action. Cette formulation nécessite la connaissance des impacts des intrants alimentaires, ce que rassemble la base de données ECOALIM. Ces données d’impacts sont des valeurs moyennes à l’échelle de la France et, de ce fait, ne rendent pas compte de la grande diversité des itinéraires techniques et des contextes pédoclimatiques. Ainsi, ces valeurs moyennes nationales sont-elles suffisantes pour mettre en oeuvre une écoconception des aliments du bétail ? Cette étude ambitionne d’y répondre en se basant sur une analyse d’incertitude des impacts des principales matières premières utilisées en alimentation animale (blé, maïs, orge, colza, tournesol, et leurs coproduits transformés), et des impacts des éco-aliments formulés soit à partir de données moyennes, soit à partir de données spécifiques, pour différents contextes économiques et de disponibilité en matières premières. Un échantillonnage aléatoire (N entre 500 et 1000) a été réalisé en tirant les valeurs d’impacts des matières premières dans une loi normale bornée par des valeurs minimales et maximales. Chaque jeu de données est utilisé pour comparer les impacts environnementaux et les taux d’incorporation des matières premières entre les aliments formulés à moindre coût et les éco-aliments. Pour les impacts changement climatique et consommation d’énergie, les moyennes nationales d’impacts environnementaux des matières premières s’avèrent suffisantes pour l’écoconception en permettant de réduire effectivement les impacts par rapport à la formulation à moindre coût. Les résultats sont plus variables pour les impacts consommation de phosphore et occupation des sols. De même, certaines matières premières comme le blé et le maïs requièrent des itinéraires plus précis qu’une simple situation moyenne nationale

    Valorization of Tomato Seed By-Products as a Source of Fatty Acids and Bioactive Compounds by Using Advanced Extraction Techniques

    Get PDF
    In this work, lipids and bioactive compounds from tomato seed by-products were extracted and compared by using advanced extraction techniques, such as microwave-assisted extraction (MAE) and supercritical fluid extraction (SFE). The influence of different extraction parameters, including extraction temperature (T), time (t) and solvent volume (V) for MAE as well as extraction temperature (T), pressure (P) and flow rate (F) for SFE-CO2, was evaluated on tomato seed oil (TSO) yield and fatty acids composition using response surface methodology (RSM). Optimum extraction conditions for MAE were 56.2 °C, 29.0 min, and 67.6 mL, whereas conditions of 60.2 °C, 400.0 bar, and 64.6 g min−1 were found for SFE-CO2. Under these conditions, higher TSO extraction yields were obtained by MAE compared to SFE-CO2 (25.3 wt% and 16.9 wt%, respectively), while similar fatty acids profiles were found by GC in terms of FAMEs composition: methyl palmitate, methyl stearate, methyl oleate, and methyl linoleate, accounting for around 80 wt% of unsaturated fatty acids. TSO MAE extracts showed high DPPH• radical scavenging activity which was related to the presence of tocopherols; in particular γ-tocopherol, which was found as the dominant homologue (260.3 ± 0.6 mg kgTS−1) followed by a lower amount of α-tocopherol (6.53 ± 0.12 mg kgTS−1) by HPLC-DAD. The obtained results suggested that tomato seeds are an interesting source of bioactive compounds with potential use in a wide range of nutritional and food applications, increasing the added value of this by-product, which is currently underexploited.This research was funded by the Bio-Based Industries Joint Undertaking under the European Union Horizon 2020 research program (BBI-H2020), ECOFUNCO project, grant number G.A 837863

    ELFE, a database to determine greenhouse gases and ammonia emissions factors from livestock

    Get PDF
    ELFE, a database to determine greenhouse gases and ammonia emissions factors from livestock. 20. Nitrogen Workshop. Coupling C-N-P-S cycle

    Reference procedures for the measurement of gaseous emissions from livestock houses and stores of animal manure.

    Get PDF
    In the ten years before the EMILI 2012 symposium, gaseous losses from animal farms became increasingly important in the m edia. The paradox of this tendency was the great number of publications, scientific or not, even though the emissions of most animal farms had never been measured. Therefor e, the development of reference tools to measure greenhouse gas and ammonia emissio ns was important. Such tools allow recognition and remuneration of the best pract ices and equipment. Accordingly, ADEME funded an international project associating several research and development organizations involved with the animal production chain. The project proposed an initial set of 18 procedures to measure ammonia and greenho use gas emissions from animal houses and manure stores. These were adapted to the diversity of animal farms found throughout the world. Some methods were compared duri ng a ?building? and a ?liquid manure? experiment. Results showed a high difference among methods (ca. 80%), much higher than the estimated uncertainty. Associat ing independent emission measurements, together with a mass balance of the system, is necessary for the reliability of further results. However, previously published references lack uncertainty estimates of measurements that conform to GUM 2008. In the coming years, this is one of the major concerns for measuring emission factor s. Uncertainty estimates should depend on the measurand (temporal: hourly, per batch, yearly; spatial: animal, house, national) and include the uncertainties associated with system representativity and temporal interpolation.Edited by Mélynda Hassouna and Nadine Guingand
    corecore