Geographical Indications (GIs) are widely considered as tools to contribute to sustainability (The Food and Agriculture Organization of the United Nations—FAO, 2009; 2017), if established and well managed. While the literature may not always agree on the positive effects of GIs in all sustainability dimensions (e.g., economic, social, and environmental), there is evidence that engaging GI producers in a sustainability strategy can maximize their contribution to different components of sustainable development. FAO and oriGIn developed the sustainability strategy for GI (SSGI) to support GI producers and their associations so that they could engage in a place-based and participative approach in order to generate concrete progress and results. This paper presents original research for building both a framework and database for the selection and use of relevant sustainability indicators for GIs. A number of SSGI principles have guided the work throughout an iterative process for reviewing, selecting, and improving relevant indicators, while the Sustainability Assessment of Food and Agriculture (SAFA) has provided the structure to align with the Sustainable Development Goals (SDGs) and other widely used and recognized sustainability frameworks. As a result of this work, a database of 372 robust sustainability indicators that are relevant to GIs have been characterized to facilitate their use by practitioners. The discussion highlights the importance of the place-based approach, and the participative, inclusive process that represents the key to empowerment and the ability to develop alliances. It also focuses on action, and the need to strengthen both internal and external communication.
Location‐specific information is required to support decision making in crop variety management, especially under increasingly challenging climate conditions. Data synthesis can aggregate data from individual trials to produce information that supports decision making in plant breeding programs, extension services, and of farmers. Data from on‐farm trials using the novel approach of triadic comparison of technologies (tricot) are increasingly available, from which more insights could be gained using a data synthesis approach. The objective of our study was to present the applicability of a rank‐based data synthesis approach to several datasets from tricot trials to generate location‐specific information supporting decision making in crop variety management. Our study focuses on tricot data from 14 trials of common bean (Phaseolus vulgaris L.) performed between 2015 and 2018 across four countries in Central America (Costa Rica, El Salvador, Honduras, and Nicaragua). The combined data of 17 common bean genotypes were rank aggregated and analyzed with the Plackett–Luce model. Model‐based recursive partitioning was used to assess the influence of spatially explicit environmental covariates on the performance of common bean genotypes. Location‐specific performance was predicted for the three main growing seasons in Central America. We demonstrate how the rank‐based data synthesis methodology allows integrating tricot trial data from heterogenous sources to provide location‐specific information to support decision making in crop variety management. Maps of genotype performance can support decision making in crop variety evaluation such as variety recommendations to farmers and variety release processes.
Fecha de recepción: 09 de abril de 2012. Fecha de aceptación: 06 de agosto de 2012.
ResumenEl objetivo de este documento es medir la magnitud y analizar las causas de la caída e incremento de la producción y del empleo sectoriales de México y del Estado de México durante el ciclo económico internacional en curso. Nuestros resultados principales son: 1) el comercio exterior ha desempeñado un papel central en la caída y recuperación del empleo y la producción a lo largo del ciclo completo, en tanto que la inversión extranjera directa y las remesas solamente han sido determinantes en la fase recesiva; 2) las fluctuaciones de la producción industrial y manufacturera son mayores que las del sector servicios y todas ellas superan a las del empleo; 3) ha habido una recomposición del empleo a favor del eventual, especialmente en el sector terciario, incluso durante la expansión.
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