17 research outputs found

    HIDAP: Highly interactive data analysis platform. Plataforma altamente interactiva de analisis de datos (Teoria)

    Get PDF

    HIDAP: Highly interactive data analysis platform. Plataforma altamente interactiva de analisis de datos (Practica)

    Get PDF

    The sweetpotato ontology

    Get PDF

    Participatory varietal selection of potato using the mother & baby trial design: A gender-responsive trainer’s guide.

    Get PDF
    This guide aims to provide step-by-step guidance on facilitating and documenting the PVS dynamics using the MBT design to select, and eventually release, potato varieties preferred by end-users that suit male and female farmers ’different needs, diverse agro-systems, and management practices, as well as traders ’and consumers’ preferences

    Progress in developing a sweetpotato ontology for breeders

    Get PDF
    Crop ontologies have been identified under the Generation Challenge Program and at the International Potato Center (CIP) as a crucial tool for managing and analyzing crop related information. Here we report progress on applying ontological concepts on sweetpotato traits important for breeders and varietal development. We defined a general strategy of identifying important traits based on their re-use in catalogs and experience in usage. A list of about 40 descriptors was identified, including 17 morphological and 22 evaluation traits. Those traits were crosschecked against other crop-ontologies (cassava, barley, maize, solanaceae) on the community site ‘crop ontology’ for consistency. Where appropriate, we annotated linkages. The current draft list of traits is still work-in-progress and subject to further review and refinement. This will include completion of traits, further consistency checks and translation before depositing on the crop-ontology site. The 39 descriptors include morphological (17), agronomical (3), resistance (4), biochemical (11) and post-harvest (4) traits

    Progress in developing a potato ontology for breeders.

    Get PDF
    The potato ontology is part of a community effort to establish a set of related crop ontologies. The advantage of an ontology is that both humans and software applications can understand a data domain. This will allow the application of numerical or data mining techniques that may help to uncover previously unknown correlations. Building on previous draft versions, here we focus on traits important to breeding: we identified so far 70 descriptors. These include: morphological (36), agronomical performance (7), resistance traits (7), biochemical (6), reaction to abiotic stresses (2), molecular (1 ) and post-harvest (9). We anticipate further refinements and cross-checks

    Selección participativa de variedades de papa (SPV) usando el diseño mamá y bebé: una guía para capacitadores con perspectiva de género.

    Get PDF
    El objetivo de esta guía es orientar paso a paso la facilitación y documentación de la dinámica SPV (Seleccion participativa de variedades) usando el diseño M&B para seleccionar, y eventualmente liberar, variedades de papa preferidas por los usuarios finales, que se adapten a las diferentes necesidades de los agricultores, a los diversos agro-ecosistemas y prácticas de manejo como también a las preferencias de comerciantes y consumidores
    corecore