54 research outputs found

    Influence of Management Practices on Economic and Enviromental Performance of Crops. A Case Study in Spanish Horticulture

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    This article assesses the effect of management practices on the environmental and economic performance of tigernut production. Tigernut is a horticultural crop grown in a very limited and homogeneous area. Results show that the environmental variability among farms was greater than variability in costs. A selection of practices can reduce impacts per kilogram tigernut by factors 252.5 (abiotic depletion), 33 (aquatic ecotoxicity), or 6 (global warming) and costs by factors of between 2 and 3. The analysis shows a positive relationship between economic and environmental performance. Results highlight how proper management leads to both relatively low environmental impacts and costs.The authors acknowledge the support of the Conselleria d'Empresa, Universitat i Ciencia de la Generalitat Valenciana (GV/2007/211) and the Universitat Politecnica de Valencia (PAID05-08-316).Fenollosa Ribera, ML.; Ribal Sanchis, FJ.; Lidón Cerezuela, AL.; Bautista Carrascosa, I.; Juraske, R.; Clemente Polo, G.; Sanjuán Pellicer, MN. (2014). Influence of Management Practices on Economic and Enviromental Performance of Crops. A Case Study in Spanish Horticulture. Agroecology and Sustainable Food Systems. 38(6):635-659. https://doi.org/10.1080/21683565.2014.896302635659386De Backer, E., Aertsens, J., Vergucht, S., & Steurbaut, W. (2009). Assessing the ecological soundness of organic and conventional agriculture by means of life cycle assessment (LCA). British Food Journal, 111(10), 1028-1061. doi:10.1108/00070700910992916Basset-Mens, C., Anibar, L., Durand, P., & van der Werf, H. M. G. (2006). Spatialised fate factors for nitrate in catchments: Modelling approach and implication for LCA results. Science of The Total Environment, 367(1), 367-382. doi:10.1016/j.scitotenv.2005.12.026Basset-Mens, C., Kelliher, F. M., Ledgard, S., & Cox, N. (2009). Uncertainty of global warming potential for milk production on a New Zealand farm and implications for decision making. The International Journal of Life Cycle Assessment, 14(7), 630-638. doi:10.1007/s11367-009-0108-2Blengini, G. A., & Busto, M. (2009). The life cycle of rice: LCA of alternative agri-food chain management systems in Vercelli (Italy). Journal of Environmental Management, 90(3), 1512-1522. doi:10.1016/j.jenvman.2008.10.006Carlsson Reich, M. (2005). Economic assessment of municipal waste management systems—case studies using a combination of life cycle assessment (LCA) and life cycle costing (LCC). Journal of Cleaner Production, 13(3), 253-263. doi:10.1016/j.jclepro.2004.02.015Contreras, W. A., Lidón, A. L., Ginestar, D., & Bru, R. (2009). Compartmental model for nitrogen dynamics in citrus orchards. Mathematical and Computer Modelling, 50(5-6), 794-805. doi:10.1016/j.mcm.2009.05.008Prudêncio da Silva, V., van der Werf, H. M. G., Spies, A., & Soares, S. R. (2010). Variability in environmental impacts of Brazilian soybean according to crop production and transport scenarios. Journal of Environmental Management, 91(9), 1831-1839. doi:10.1016/j.jenvman.2010.04.001Jan, P., Dux, D., Lips, M., Alig, M., & Dumondel, M. (2012). On the link between economic and environmental performance of Swiss dairy farms of the alpine area. The International Journal of Life Cycle Assessment, 17(6), 706-719. doi:10.1007/s11367-012-0405-zJuraske, R., & Sanjuán, N. (2011). Life cycle toxicity assessment of pesticides used in integrated and organic production of oranges in the Comunidad Valenciana, Spain. Chemosphere, 82(7), 956-962. doi:10.1016/j.chemosphere.2010.10.081Lidón, A., Ramos, C., & Rodrigo, A. (1999). Comparison of drainage estimation methods in irrigated citrus orchards. Irrigation Science, 19(1), 25-36. doi:10.1007/s002710050068McDevitt, J. E., & Milà i Canals, L. (2011). Can life cycle assessment be used to evaluate plant breeding objectives to improve supply chain sustainability? A worked example using porridge oats from the UK. International Journal of Agricultural Sustainability, 9(4), 484-494. doi:10.1080/14735903.2011.584473Michelsen, J. (2001). Recent Development and Political Acceptance of Organic Farming in Europe. Sociologia Ruralis, 41(1), 3-20. doi:10.1111/1467-9523.00167Meisterling, K., Samaras, C., & Schweizer, V. (2009). Decisions to reduce greenhouse gases from agriculture and product transport: LCA case study of organic and conventional wheat. Journal of Cleaner Production, 17(2), 222-230. doi:10.1016/j.jclepro.2008.04.009Mouron, P., Nemecek, T., Scholz, R. W., & Weber, O. (2006). Management influence on environmental impacts in an apple production system on Swiss fruit farms: Combining life cycle assessment with statistical risk assessment. Agriculture, Ecosystems & Environment, 114(2-4), 311-322. doi:10.1016/j.agee.2005.11.020Mouron, P., Scholz, R. W., Nemecek, T., & Weber, O. (2006). Life cycle management on Swiss fruit farms: Relating environmental and income indicators for apple-growing. Ecological Economics, 58(3), 561-578. doi:10.1016/j.ecolecon.2005.08.007Pascual, B., Maroto, J. V., LóPez-Galarza, Sa., Sanbautista, A., & Alagarda, J. (2000). Chufa (Cyperus esculentus L. var. sativus boeck.): An unconventional crop. studies related to applications and cultivation. Economic Botany, 54(4), 439-448. doi:10.1007/bf02866543Ribal, J., Sanjuán, N., Clemente, G., & Fenollosa, M. L. (2011). Medición de la ecoeficiencia en procesos productivos en el sector agrario. Caso de estudio sobre producción de cítricos. Economía Agraria y Recursos Naturales, 9(2), 125. doi:10.7201/earn.2009.02.06Rosenbaum, R. K., Bachmann, T. M., Gold, L. S., Huijbregts, M. A. J., Jolliet, O., Juraske, R., … Hauschild, M. Z. (2008). USEtox—the UNEP-SETAC toxicity model: recommended characterisation factors for human toxicity and freshwater ecotoxicity in life cycle impact assessment. The International Journal of Life Cycle Assessment, 13(7), 532-546. doi:10.1007/s11367-008-0038-4Sanjuan, N., Ribal, J., Clemente, G., & Fenollosa, M. L. (2011). Measuring and Improving Eco-efficiency Using Data Envelopment Analysis. Journal of Industrial Ecology, 15(4), 614-628. doi:10.1111/j.1530-9290.2011.00347.xSanjuan, N., Ubeda, L., Clemente, G., Mulet, A., & Girona, F. (2005). LCA of integrated orange production in the Comunidad Valenciana (Spain). International Journal of Agricultural Resources, Governance and Ecology, 4(2), 163. doi:10.1504/ijarge.2005.007198Saxton, K. E., Rawls, W. J., Romberger, J. S., & Papendick, R. I. (1986). Estimating Generalized Soil-water Characteristics from Texture1. Soil Science Society of America Journal, 50(4), 1031. doi:10.2136/sssaj1986.03615995005000040039xThomassen, M. A., Dolman, M. A., van Calker, K. J., & de Boer, I. J. M. (2009). Relating life cycle assessment indicators to gross value added for Dutch dairy farms. Ecological Economics, 68(8-9), 2278-2284. doi:10.1016/j.ecolecon.2009.02.011Tzilivakis, J., Jaggard, K., Lewis, K. A., May, M., & Warner, D. J. (2005). Environmental impact and economic assessment for UK sugar beet production systems. Agriculture, Ecosystems & Environment, 107(4), 341-358. doi:10.1016/j.agee.2004.12.016Van der Werf, H. M. G., Kanyarushoki, C., & Corson, M. S. (2009). An operational method for the evaluation of resource use and environmental impacts of dairy farms by life cycle assessment. Journal of Environmental Management, 90(11), 3643-3652. doi:10.1016/j.jenvman.2009.07.003Van Zeijts, H., Leneman, H., & Wegener Sleeswijk, A. (1999). Fitting fertilisation in LCA: allocation to crops in a cropping plan. Journal of Cleaner Production, 7(1), 69-74. doi:10.1016/s0959-6526(98)00040-7Venkat, K. (2012). Comparison of Twelve Organic and Conventional Farming Systems: A Life Cycle Greenhouse Gas Emissions Perspective. Journal of Sustainable Agriculture, 36(6), 620-649. doi:10.1080/10440046.2012.67237

    A distinct topology of BTN3A IgV and B30.2 domains controlled by juxtamembrane regions favors optimal human γδ T cell phosphoantigen sensing

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    Abstract Butyrophilin (BTN)–3A and BTN2A1 molecules control the activation of human Vγ9Vδ2 T cells during T cell receptor (TCR)-mediated sensing of phosphoantigens (PAg) derived from microbes and tumors. However, the molecular rules governing PAg sensing remain largely unknown. Here, we establish three mechanistic principles of PAg-mediated γδ T cell activation. First, in humans, following PAg binding to the intracellular BTN3A1-B30.2 domain, Vγ9Vδ2 TCR triggering involves the extracellular V-domain of BTN3A2/BTN3A3. Moreover, the localization of both protein domains on different chains of the BTN3A homo-or heteromers is essential for efficient PAg-mediated activation. Second, the formation of BTN3A homo-or heteromers, which differ in intracellular trafficking and conformation, is controlled by molecular interactions between the juxtamembrane regions of the BTN3A chains. Finally, the ability of PAg not simply to bind BTN3A-B30.2, but to promote its subsequent interaction with the BTN2A1-B30.2 domain, is essential for T-cell activation. Defining these determinants of cooperation and the division of labor in BTN proteins improves our understanding of PAg sensing and elucidates a mode of action that may apply to other BTN family members

    LC-IMPACT: a regionalized life cycle damage assessment method

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    Life cycle impact assessment (LCIA) is a lively field of research, and data and models are continuously improved in terms of impact pathways covered, reliability, and spatial detail. However, many of these advancements are scattered throughout the scientific literature, making it difficult for practitioners to apply the new models. Here, we present the LC-IMPACT method that provides characterization factors at the damage level for 11 impact categories related to three areas of protection (human health, ecosystem quality, natural resources). Human health damage is quantified as disability adjusted life years, damage to ecosystem quality as global species extinction equivalents (based on potentially disappeared fraction of species), and damage to mineral resources as kilogram of extra ore extracted. Seven of the impact categories include spatial differentiation at various levels of spatial scale. The influence of value choices related to the time horizon and the level of scientific evidence of the impacts considered is quantified with four distinct sets of characterization factors. We demonstrate the applicability of the proposed method with an illustrative life cycle assessment example of different fuel options in Europe (petrol or biofuel). Differences between generic and regionalized impacts vary up to two orders of magnitude for some of the selected impact categories, highlighting the importance of spatial detail in LCIA. This article met the requirements for a gold - gold JIE data openness badge described at .Industrial Ecolog
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