CIAT Databases, Tools, and Maps

Permanent URI for this collectionhttps://hdl.handle.net/10568/35712

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Best bet forages species for different edapho-climatic conditions
(Dataset, 2019-12) Sotelo Cabrera, Mauricio Efren; Cardoso Arango, Juan Andrés
Herramienta de Costo de Producción del Arroz CIAT-FLAR v3.3
(Other, 2019-10-22) Andrade, Robert Santiago; Graterol Matute, Eduardo Jose; Orrego Mayra; Urioste, Sergio; Marín, Diego
La herramienta es un Libro de Microsoft Excel 2016 ®, el cual consiste de 11 hojas de cálculo que colectan información de costos de producción para el cultivo del arroz a nivel de cada finca o unidad productiva, además de un menú principal y una hoja para recolectar información básica del usuario e instrucciones para completar la herramienta con la información necesaria. Estas secciones son detalladas a continuación en el presente manual. El costo de producción calculado por la herramienta representa el valor monetario que los productores incurren en la producción de arroz. Cada una de las 11 hojas de cálculo contiene información específica sobre un número de actividades requeridas para la producción. El costo de producción está dividido en siete actividades principales (adecuación del terreno, siembra, fertilización, riego, manejo fitosanitario, cosecha y post-cosecha), más los costos indirectos incurridos en la producción de arroz. Adicionalmente, hay una hoja de cálculo que resume la información del total de la producción. Al final la información se resume en dos hojas de cálculo que presentan los resultados en moneda local y en dólares.
CROSST - Version 1.0.1
(Other, 2019-08-06) Mukiri, Jessica; Diogo, Rodrigue V. Cao; Gbedjissokpa, Sènami G.M.; Kinyua, Michael; Hoek, Rein van der; Paul, Birthe K.; Sommer, Rolf
CROSST is an Excel-based tool that assesses both agro-environmental and socio-economic impacts of Green Manure Cover Crop (GMCC) technologies. The tool quantifies gross economic margin, productivity (yield), soil health (N and P balances, soil structure, and soil organic carbon), required labor hours, and the trade-offs between these indicators. The tool was pilot-tested in Benin and Kenya under the BMZ-GIZ program on ‘Soil Protection and Rehabilitation for Food Security.’
Inclusive Business Models Toolkit: Link Methodology (abridged version).
(Manual, 2016) Sopov, Monika; Lundy, Mark M.; Even, Brice; Huong, Pham Thu
CLEANED X - Version 2.0.1
(Source Code, 2019-04-09) Notenbaert, An Maria Omer; Mukiri, Jessica; Hoek, Rein van der; Paul, Birthe K.; Koge, Jessica; Birnholz, Celine A.
This is the second version of CLEANED (Comprehensive Livestock Environmental Assessment for Improved Nutrition, a Secured Environment and Sustainable Development along Livestock and Fish Value Chains) Excel tool. This tool is a rapid ex-ante environmental impact assessment tool that allows users to explore multiple impacts of developing livestock value chains. It models the impact of changes in the livestock production systems and value chains along several pathways on land use, productivity, economics, water impacts, greenhouse gas emissions and soil health. (2019-04-09)
Cost benefit analysis tool for climate smart agricultural practices/technologies
(Other, 2019) International Fund for Agricultural Development; CGIAR Research Program on Climate Change, Agriculture and Food Security
Cost-Benefit Analysis (CBA) tool is used to determine the relative profitability of alternative cropping practices, involving the comparison of the annual flow of incremental net benefits with that of incremental costs
Módulo académico de capacitación virtual: Escenarios de cambio climático en Honduras
(Other, 2018) Córdoba Sánchez, Juana Marcela; Navarro Racines, Carlos Eduardo; Llanos Herrera, Lizeth; Obando, Diego; Monserrate Rojas, Fredy Alexander
El Módulo académico de capacitación virtual sobre los escenarios de cambio climático en Honduras fue desarrollado para el proyecto de la Tercera Comunicación de Cambio Climático en Honduras (3CNCCH) ante la Comisión Marco de las Naciones Unidas sobre Cambio Climático (CMNUCC). El módulo y los escenarios de cambio climático fueron desarrollados por el Centro Internacional de Agricultura Tropical (CIAT) bajo la consultoría para el Desarrollo de los Escenarios Climáticos de Honduras y Módulo Académico de Capacitación (Sdp/00090482/001-2017) financiada por el Programa de las Naciones Unidas para el Desarrollo (PNUD) en Honduras. El módulo se constituye de 5 unidades que presentan los conceptos básicos sobre cambio climático, los procesos de construcción de la línea base del clima y los escenarios de cambio climático en Honduras, la forma de acceder a la información sobre los escenarios y finalmente ejemplos sobre la aplicación de este tipo de información en los sectores de agricultura y recursos hídricos.
A Hazard Analysis and Critical Control Point (HACCP) plan and a food safety tool kit for common beans in Uganda
(Brochure, 2018) International Center for Tropical Agriculture; National Agricultural Research Organization, Uganda; Kenya Agricultural and Livestock Research Organization
The purpose of this toolkit is to equip stakeholders across the food value chain with a cost-effective system for control of food quality and safety right from farm to reception of raw materials and through production, storage, distribution, sale and service to the final consumers. The expected outcome is a reduction in the loss of the quantity of beans due to mismanagement along the value chain. This toolkit can be used by the value chain actors across the bean value chain who include: farmers, processors, and food vendors to ensure that food products are safe for human consumption. This toolkit is a communication toolkit for all the food chain value actors across the bean value chain. It should enable readers to improve common bean food safety and quality control for consumption purposes. (2018-03-19)
CLEANED X - Version 1.0.1: A user friendly Microsoft Excel tool to assess the environmental impacts of livestock production
(Source Code, 2018-01-31) Notenbaert, An Maria Omer; Paul, Birthe K.; Mukiri, Jessica; Birnholz, Celine A.; Koge, Jessica
The CLEANED (Comprehensive Livestock Environmental Assessment for Improved Nutrition, a Secured Environment and Sustainable Development along Livestock and Fish Value Chains) Excel tool is a rapid ex-ante environmental impact assessment tool that allows users to explore multiple impacts of developing livestock value chains. It models the impact of changes in the livestock production systems and value chains along several pathways on land use, productivity, economics, water impacts, greenhouse gas emissions and soil health. (2018-01-31)
PestDisPlace; Monitoring the distribution of pests and diseases. Version 1.0
(Website, 2018) Cuéllar, Wilmer Jose; Mwanzia, Leroy; Lourido, Derlyn; García, Carolina; Cruz, Paola; Pino, Lizbeth; Tohme, Joseph M.
A place to integrate and collectively monitor the occurrence and movement of pests and diseases. It is based on symptoms recording and confirmation by molecular diagnostics
Abbreviations used in CCAFS climate
(Other, 2015) Navarro Racines, Carlos Eduardo; Tarapues Montenegro, Jaime Eduardo; Ramírez Villegas, Julián Armando
Link Methodology: Gender Responsive Manual
(Manual, 2016) Gumucio, Tatiana; Hurtado Bermudez, Jhon Jairo; Lundy, Mark M.; Mosquera Echeverry, Erika Eliana
The Kalkulator: a minimum data tool for rapid ex-ante impact assessment of productivity, nitrogen balance, soil balance, and GHG emissions – Version 1.0.1
(Other, 2017-02-19) Birnholz, Celine A.; Sommer, Rolf; Notenbaert, An Maria Omer; Paul, Birthe K.
The Kalkulator is a rapid ex-ante impact assessment tool with minimum data requirements that allows users to benchmark and explore multiple environmental impacts of interventions (e.g. productivity-enhancing agricultural practices, soil protection measures) on a farm using four indicators: greenhouse gas emissions, soil nitrogen balance, soil erosion, and on-farm calorie production.
Bases de datos de cultivos de arroz en Colombia, Nicaragua y Perú con información en suelos, manejo de cultivo, clima y rendimiento
(Other, 2016-11-25) Aguilar, Andrés; Muñoz, Luis Armando; Jiménez, Daniel
El documento tiene la finalidad de describir las bases de datos reunidas por el equipo de análisis de CIAT, que retratan la actividad arrocera en Colombia, Nicaragua y Perú. Esto fue posible gracias a la acción del Fondo Latinoamericano de Arroz de Riego (FLAR) y a sus miembros en cada país: Fedearroz (Colombia), ANAR (Nicaragua) y Hacienda el Potrero (Perú). De igual forma es de destacar la colaboración recibida por parte de los agricultores de Ibagué, del Boaco y de la provincia de Jaén.
Agricultura Específica Por Sitio (AEPS)
(Website, 2016) International Center for Tropical Agriculture; Ministerio de Agricultura y Desarrollo Rural, Colombia
AEPS, Agricultura Específica por sitio, es un conjunto de métodos y herramientas que permiten colectar información de experiencias productivas comerciales, analizar datos con métodos novedosos y generar información que le servirá a productores, asistentes técnicos y entidades del sector agrícola, para tomar mejores decisiones sobre donde sembrar, cuando sembrar, que sembrar y que prácticas de manejo aplicar, cuando se cuenta con ciertas condiciones específicas de clima y suelo.
A global database for the distributions of crop wild relatives
(Dataset, 2016-08-16) International Center for Tropical Agriculture
This dataset originally held 5 647 442 total records, where 34% of the records corresponded to germplasm accessions and 66% to herbarium samples. A total of 3 231 286 records had cross-checked coordinates (see Figure 2). 322 735 records were newly georeferenced using The Google Geocoding API and 15 713 new records were obtained after digitizing the information contained in herbaria specimens. Data was gathered from more than 100 data providers, including GBIF (a comprehensive list of institutions and individuals is available here: http://www.cwrdiversity.org/data-sources/).The geographic coverage of the dataset includes 96% of the world countries and also includes records of cultivated plants (1/3 of the dataset). Records of the crop wild relatives of 80 crop gene pools can be queried and visualized in this interactive map: http://www.cwrdiversity.org/distribution-map/.For publication to GBIF, all records originally gathered from GBIF have been removed to avoid data duplication.
CIAT SOC APP
(Website, 2015) Sommer, Rolf; Koech, Nicholas; Godiah, David
There has been quite some debate about the scope for mitigating climate change by soil organic carbon (SOC) sequestration. However, it seems there is a general lack of understanding of quantities and the time-dimension, as well as the possible contribution that SOC sequestration can play. This web application provides a platform where users can visualize the organic carbon content of a soil of their choice, as well as the quantitative impact of soil conserving management practices on sequestration, how such sequestration would unfold over time and what would be the magnitude of SOC sequestration if the anticipated practice (to foster SOC seq.) would be scaled out to countries, sub-continents or the entire world. The basis of the idea is the publication from Sommer and Bossio 2014 (Dynamics and climate change mitigation potential of soil organic carbon sequestration. J. Environm. Management 144, 83-87). This study is part of the CGIAR Research Program on Water, Land and Ecosystems (WLE). The CIAT SOC APP is a soil organic content computation tool that computes SOC concentration and sequestration of a given soil, and outputs the results in graphic and table formats. The tool is open-access to be use by individuals, governments, NGOs, researchers, communities, and others. We are happy to share the source code upon enquiry.
Soil Best Bets Compendium
(Website, 2016) Sommer, Rolf; Godiah, David; Braslow, Juliet
This Best Bets Compendium identifies and explains in detail practices, methods, technologies or initiatives that have the potential to maintain or increase the organic matter and fertility of soils. We, first of all, provide a very brief overview of each best bet, including its geographical cover and agro-ecosystem. The best bet is then evaluated against its associated Resource Requirements, Tradeoffs, Effectiveness, Risks, Framework conditions, Attractiveness and its Cross Cutting relevance as far as biodiversity, climate change adaptation, mitigation, gender, and participation is concerned. This includes a ranking of each best bet on a scale of -2 to +2; minus indicating a negative and plus a positive impact. We also highlight cases when farmers redesigned the best bet, as well as proven cases of success and additional literature sources. Resource requirements are further sub-divided into: Organic inputs; Inorganic inputs; Land, land tenure; Labour; Money, cash, loan; Time; Machinery, animal draught, other tools; Market demand; and Others. Each of these requirements is evaluated on a scale of 1 to 10 in terms of the probability that absence or excess of the required item/input jeopardizes the overall success of the best bet, Here, 1 means very little impact and 10 very high impact. Zero is used if the requirement does not apply. Users can also query the compendium, make comments, and – most importantly – add further best bets.
The climate-smart agriculture implementer
(Software, 2015) CGIAR Research Program on Climate Change, Agriculture and Food Security; International Center for Tropical Agriculture
The rapid pace of climate change, and its impact on global food security, means a greater sense of urgency needs to be applied to putting adaption and mitigation measures in place. • Scientific experts and farmers in Asia face a communication gap which prevents the sustainable scaling out and adoption of climate-smart agricultural technologies and practices. • The CSA Implementer is a mobile phone application which uses crowdsourcing to bridge the communication gap between farmers and experts with the aim of fast-tracking CSA adoption.
The 5Q approach
(Manual, 2015) International Center for Tropical Agriculture; CGIAR Research Program on Climate Change, Agriculture and Food Security
Reducing hunger and poverty requires effective strategies but many traditional monitoring and evaluation methods are costly, complicated, rigid, slow, and do not include the opinions of the project beneficiaries. The 5Q approach is simple, adaptable, responsive, effective, and better integrates stakeholders. Project beneficiaries can proactively participate in programs for greater livelihood, health, and environmental gains. Developed in cooperation with CIAT. The 5Q approach aims to simplify monitoring, evaluation, and learning (MEL) methods, in order to improve transparency, mutual accountability, and the effectiveness of research and development projects. The fast, easy-to-use, and cost-effective approach offers something that traditional MEL methods don’t: project implementers receive quick feedback on their project in order to make adjustments during the project cycle. Project beneficiaries can proactively participate in programs that directly impact their lives, including throughout the project design, implementation, and evaluation processes, in order to have their needs better understood and met. The 5Q approach asks just 5 simple questions at regular intervals to each one of a project’s stakeholder groups (e.g., farmers, project implementers, and donors) and rapidly analyzes their answers to assess if the project is on track, and if not, adapt quickly. Answers are collected through a means best suited to each group, such as face-to-face surveys, mobile phone apps, web apps, and participatory video. Responses are automatically stored in a central database, processed, and disseminated through an online dashboard to visualize changes – for example in knowledge, attitude, skills, and practices – throughout the project cycle.

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