Alliance Bioversity CIAT Posters, Presentations, and Infographics

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    Asociación genómica en híbridos interespecíficos (Urochloa spp): bases para el mejoramiento de la resistencia a salivazos
    (Poster, 2025-06-25) Espitia Buitrago, Paula; Perea, Claudia; Mejia, Juan Camilo; de Vega, José; Jauregui, Rosa
    Los salivazos (Hemiptera: Cercopidae) son una plaga clave en los pastos Brachiaria (Urochloa spp.) en América tropical, con un impacto de hasta un 74% la producción de carne (Congio et al., 2020). El programa de Urochloa interespecífico del CIAT integra caracteres de resistencia varietal en el esquema de fitomejoramiento, logrando una ganancia genética anual superior al 7% en antibiosis y 2% en tolerancia a ninfas de Aeneolamia varia (Hernández et al., 2025). Identificar las regiones genómicas asociadas a rasgos de resistencia varietal contribuye al entendimiento del control de caracteres clave así como al desarrollo de herramientas que asistan la selección.
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    Tolerancia a estrés por hierro en híbridos de Urochloa: metodología hidropónica eficiente en 21 días
    (Poster, 2025-06-25) Gaviria Valencia, Juan Manuel; Mejia, Juan Camilo; Espitia Buitrago, Paula Andrea; Barbosa Torres, Norma; Jauregui, Rosa
    Los suelos ácidos tropicales limitan la productividad ganadera por toxicidad mineral, especialmente por exceso de hierro (Fe) (Borrero et al., 2017). En Urochloa spp., este estrés compromete el crecimiento y la absorción de nutrientes. Este estudio propone una metodología hidropónica eficiente para evaluar, en 21 días, la tolerancia al Fe en genotipos interespecíficos, facilitando la selección de materiales promisorios (Wenzl et al., 2006)
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    Global estimated CIAT Urochloa hybrid adoption, 2001-2024
    (Presentation, 2025-06) Burkart, Stefan
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    Evaluación de los componentes del rendimiento de semilla en Urochloa spp. en condiciones controladas
    (Poster, 2025-06-25) Moreno Dominguez, Valeria; Espitia Buitrago, Paula; Gereda, Javier Mauricio; Mejia, Juan Camilo; Jauregui, Rosa
    Urochloa spp. es pasto forrajero clave en la ganadería tropical debido a su alto valor nutritivo y adaptabilidad (Maina et al. 2020). La baja producción de semillas, además de una reducida viabilidad y porcentaje de germinación, aumenta los costos y limita su adopción (Simeão et al. 2016). Identificar componentes del rendimiento de semillas que puedan medirse en etapas tempranas del desarrollo del cultivo, permite desarrollar híbridos con alto potencial producción de semilla y favorece su uso a gran escala (dos Santos et al. 2023). La nutrición vegetal es determinante para incrementar el rendimiento y calidad de semillas en Urochloa spp. (Catuchi et al. 2019)
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    Uso de machine learning y un sensor de reflectancia del dosel proximal para predecir biomasa y calidad nutricional en forrajes tropicales (Urochloa humidicola)
    (Poster, 2025-06-25) Camelo, Rodrigo Andres; Espitia Buitrago, Paula; Jauregui, Rosa
    Atributos como la biomasa y la calidad nutricional son características que permiten la selección de mejores pasturas y, por ende, la obtención de mayores cantidades de carne y leche a partir del alimento del ganado (Mendoza et al. 2022). Sin embargo, el método analítico de laboratorio utilizado para calcular estos atributos resulta ineficiente para especies perennes cuando existen cientos de plantas para evaluar (Masenyama et al. 2022). Por lo tanto, es necesario desarrollar métodos que permitan la caracterización y selección de genotipos mediante técnicas no destructivas de alto rendimiento. Para ello, se han utilizado sensores activos de dosel como el Crop Circle Phenom, capaces de medir reflectancia, atributos estructurales y variables climáticas.
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    Grupos genéticos de cacao silvestres y cultivares tradicionales
    (Infographic, 2025-06-26) Thomas, Evert
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    Parcela Agroclimática Digital: Un laboratorio en campo donde tecnología y agricultura se integran para transformar el agro.
    (Infographic, 2025-07-01) Barrios, Camilo; Amaya, Alejandra; Arce, Daniela
    La Parcela Agroclimática Digital, ubicada en el Campus Las Américas de la Alianza Bioversity y el CIAT en Palmira, Colombia, es un espacio experimental que combina soluciones de Internet de las Cosas (IoT), sensores de monitoreo en suelo, drones multiespectrales, imágenes satelitales de alta resolución (PlanetScope), y plataformas digitales de visualización en tiempo real, habilitadas por conectividad satelital (como Starlink). Esta infraestructura permite el monitoreo continuo y preciso de variables clave del cultivo, el suelo y el clima, como pH, NPK, temperatura, humedad, conductividad eléctrica y nivel freático, mediante redes de transmisión de datos como LoRaWAN. Más allá de capturar datos, este laboratorio en campo tiene como propósito generar información agroclimática procesada y contextualizada, que, al integrarse con técnicas avanzadas de modelación e inteligencia artificial, facilita la toma de decisiones informadas. De este modo, permite a agricultores, técnicos e investigadores optimizar las estrategias de manejo agronómico de acuerdo con las condiciones agroambientales específicas, contribuyendo a una agricultura más productiva, sostenible y resiliente frente a la variabilidad y el cambio climático. Entre sus beneficios clave se encuentran la optimización del uso de recursos (como el agua y los fertilizantes), la detección temprana de riesgos (plagas, enfermedades, estrés hídrico), la reducción de pérdidas de los cultivos, y el aumento de la eficiencia en la producción gracias a una mejor planificación del momento de ejecución de las labores agronómicas. Asimismo, la parcela permite alimentar sistemas de alerta temprana, realizar seguimiento fenológico, generar análisis comparativos entre parcelas o tratamientos, y desarrollar modelos agroclimáticos predictivos que anticipen impactos climáticos a corto plazo. Además de su enfoque técnico y aplicado, la Parcela Agroclimática Digital también cumple un propósito educativo y formativo, funcionando como un laboratorio de demostración para estudiantes, docentes y profesionales interesados en el uso de tecnologías avanzadas aplicadas al agro. Universidades y centros de formación pueden utilizar este espacio para desarrollar competencias en agricultura digital, agroclimatología y manejo de datos, fortaleciendo así capacidades en temas clave para el desarrollo agrícola sostenible. Gracias a su diseño adaptable y orientado a la toma de decisiones basada en evidencia, la Parcela tiene un alto potencial de escalabilidad hacia otros contextos, cultivos y regiones de América Latina, favoreciendo la transformación digital del agro, la seguridad alimentaria, el desarrollo rural y la contribución directa a los Objetivos de Desarrollo Sostenible (ODS).
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    Agrobiodiversity and diets: food access and seasonality in Solomon Islands
    (Poster, 2025-05) Nabuuma, Deborah; Kabu, Rosely; Moyo, Marcelius; Ekesa, Beatrice
    Presented at the 3rd International Agrobiodiversity Congress, Kunming, China, May 20-22, 2025. Agrobiodiversity is vital for food security and resilience in Pacific Island states, which face food insecurity, triple burdens of malnutrition, and climate change impacts. Understanding food access and seasonality can inform utilization of local agrobiodiversity to improve diets and food system resilience. This was explored in a mixed methods study, survey of 122 households and twelve focus group discussions (97 men, 86 women) from 10 communities in Malaita, Solomon Islands. Women’s diets were inadequate with an average consumption of 2.3 food groups. The most consumed groups were starchy staples (87%), dark green leafy vegetables (51%), and meat and fish (33%), largely sourced from own production (67%, 86%, and 61%, respectively). Main food groups bought included legumes (100%), animal sourced foods (34%) and starchy staples (28%). Level of food availability and sourcing varied with food item and community. Across food groups, households were more likely to maintain the same level of purchase or reduce it, if income increased, except for grains. Household food purchase was influenced by food needs, convenience, and preference. Seasonal food calendars for 3 regions of Malaita reflected a wide range of foods, fruits, vegetables and animal source foods had the highest diversity, while grains had the least diversity within a food group, and nuts had the largest availability gaps. A variety of foods is available to create a diverse food basket, yet current consumption is inadequate. Understanding barriers to food access and consumption is essential for designing effective agrobiodiversity interventions and nutrition behavior change strategies that enhance dietary diversity and health outcomes.
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    Root development in three tropical grass genotypes grown in contrasting soils and their potential for soil organic carbon accumulation
    (Poster, 2025-06-15) Mayorga, Mildred; Vázquez, Eduardo; Cardoso, Juan Andres
    Grasses have significant potential for accumulating soil organic carbon, primarily due to their ability to translocate up to 60% of their gross primary production to belowground organs. Root depth is the most critical factor governing root carbon storage and stabilization in the soil. Urochloa humidicola is a tropical forage species well adapted to acidic, low-fertility soils and exhibits a high capacity for biological nitrification inhibition. Among its genotypes, CIAT679 and Bh08-1149 display contrasting root traits. Meanwhile, Mulato II is a Urochloa hybrid cultivar known for its high biomass production and forage quality. To compare carbon inputs and root development traits among the genotypes CIAT679, Bh08-1149, and Mulato II in two soil types—a high-fertility Vertisol and an acidic, low-fertility Oxisol—a rhizotron experiment was conducted under greenhouse conditions. After six months of growth, Mulato II exhibited the greatest root length, volume, surface area, and diameter, as well as the highest leaf area, photosynthetic rate, and photosystem II efficiency (ΦPSII). However, its root system grew in a more horizontal orientation. Among the U. humidicola genotypes, CIAT679 displayed superior root length, volume, and surface area. When comparing plant development across soil types, those grown in the Oxisol exhibited greater root length, surface area, volume, diameter, depth, and root orientation angle, along with higher photosynthetic rate and ΦPSII. This response is likely due to the Oxisol's higher sand content and lower clay fraction, which facilitate root exploration and growth. The enhanced root system in this soil type likely improves water and nutrient uptake, contributing to superior photosynthetic performance. Notably, the genotypes CIAT679 and Bh08-1149 grown in the Oxisol, developed the deepest roots and their greater root orientation angles indicate more vertical root growth.
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    Digital Agroclimatic Plot: An open-field laboratory where technology and agriculture come together to transform farming
    (Infographic, 2025-07-01) Barrios, Camilo; Amaya, Alejandra; Arce, Daniela
    The Digital Agroclimatic Plot, located at the Campus Las Américas of the Alliance Bioversity and CIAT in Palmira, Colombia, is an experimental space that integrates Internet of Things (IoT) solutions, soil monitoring sensors, multispectral drones, high-resolution satellite imagery (PlanetScope), and real-time data visualization platforms, enabled through satellite connectivity (such as Starlink). This infrastructure allows for continuous and precise monitoring of key variables related to crops, soil, and climate, such as pH, NPK, temperature, moisture, electrical conductivity, and water table levels, through data transmission networks like LoRaWAN. Beyond data collection, this field-based laboratory aims to generate processed and contextualized agroclimatic information, which, when combined with advanced modeling techniques and artificial intelligence, facilitates informed decision-making. In doing so, it enables farmers, technicians, and researchers to optimize agronomic management strategies according to the specific agro-environmental conditions at any given time, contributing to a more productive, sustainable, and resilient agriculture in the face of climate variability and change. Key benefits include the optimization of resource use (such as water and fertilizers), early detection of risks (pests, diseases, water stress), reduction of crop losses, and increased production efficiency through improved timing of agronomic interventions. The plot also supports early warning systems, phenological monitoring, comparative analysis between treatments or plots, and the development of predictive agroclimatic models to anticipate short-term climate impacts. In addition to its technical and applied functions, the Digital Agroclimatic Plot serves an educational and training purpose, acting as a demonstration laboratory for students, educators, and professionals interested in the use of advanced technologies applied to agriculture. Universities and training centers can use this space to develop competencies in digital agriculture, agroclimatology, and data management, thereby strengthening capacities in key areas for sustainable agricultural development. Thanks to its adaptable design and evidence-based decision-making orientation, the Plot has strong scalability potential across diverse contexts, crops, and regions in Latin America, promoting the digital transformation of agriculture, food security, rural development, and direct contributions to the Sustainable Development Goals (SDGs).
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    ShambaShield Playbook: A guide to creating a data intelligent climate financing tool for farmers
    (Presentation, 2025-06-30) Vyas, Shalika; Bhagat, Julita; Chilambe, Pedro
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    Tortillas fuera del comal - sistemas agrícolas y alimentarios resilientes al clima para Centroamérica (TOR2)​
    (Presentation, 2025-06-11) Gonzalez, Carlos R; Eitzinger, Anton; Navarro, Carlos; Castillo, Johana
    The TOR2 study assesses how climate change affects the suitability of key crops such as maize and beans in Central America and identifies increasing risks from extreme weather events. It explores the potential for agricultural diversification with 30 crops and generates detailed local-scale spatial data to support adaptation decision-making.
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    Agrobiodiversity and value chains
    (Presentation, 2025-05-20) Borelli, Teresa
    This keynote presentation explores how developing strong, inclusive value chains for agrobiodiversity—especially for neglected and underutilized species —can drive sustainable food systems and improve livelihoods. Drawing on lessons from the Biodiversity for Food and Nutrition (BFN) project, the CGIAR Nature-Positive Solutions (NATURE+) Initiative, and the EU-funded DIVINFOOD projects, the talk highlights successful strategies to link smallholder farmers, cooperatives, processors, schools, chefs, and consumers. It emphasizes the importance of end-to-end thinking, from seed systems and gender equity to market access and institutional demand. Through real-world examples across Africa, Asia, Latin America, and Europe, this keynote provides a compelling case for integrating agrobiodiversity into food value chains to support climate resilience, nutrition, and local economies.
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    Migración irregular, cambio climático y género en Guatemala: Perspectivas locales
    (Infographic, 2025-05-31) Penel, Charlotte; Madurga Lopez, Ignacio; Higuera Florez, Julian; Palou, Nohelia
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    Agroclimatic monitoring system at Alliance’s experimental campus
    (Infographic, 2025-05-23) Barrios, Camilo; Amaya, Alejandra; Arce, Daniela; Urdinola, Jaime
    At the Alliance’s experimental campus, extreme climate conditions such as droughts, heavy rainfall, and high temperatures can significantly affect both the management and the growth and development of crops. In this context of increasing climate variability, it is essential to have accessible and easy-to-use digital tools that support technical decision-making in the field. These digital tools allow for more efficient planning and management of resources available to farmers. Satellite imagery is leveraged to enable regular monitoring of agroclimatic conditions and crop status without needing to be physically present in the fields. Specifically, high-resolution multispectral images, such as those provided by PlanetScope satellites, help detect water excesses or shortages in a timely manner and assess the health, growth, and development of vegetation. This not only optimizes agricultural management but also promotes more sustainable and resilient production in the face of climate change.
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    Sistema de monitoreo agroclimático del campus experimental de la Alianza Bioversity & CIAT
    (Infographic, 2025-05-23) Barrios, Camilo; Amaya, Alejandra; Arce Gomez, Daniela; Urdinola, Jaime
    En el campus experimental de la Alianza, las condiciones climáticas extremas, como sequías, precipitaciones intensas y temperaturas elevadas, pueden afectar significativamente tanto el manejo como el crecimiento y desarrollo de los cultivos. En este contexto de creciente variabilidad climática, resulta fundamental disponer de herramientas digitales accesibles y fáciles de usar que apoyen la toma de decisiones técnicas en el campo. Estas herramientas digitales permiten planificar y gestionar de manera más eficiente el uso de los recursos disponibles para los agricultores. Para ello, se aprovecha el potencial de las imágenes satelitales, que facilitan el monitoreo periódico de las condiciones agroclimáticas y del estado de los cultivos sin necesidad de estar en las parcelas. Particularmente, las imágenes multiespectrales de alta resolución, como las proporcionadas por los satélites PlanetScope, permiten detectar a tiempo excesos o deficiencias hídricas, así como evaluar la salud, el crecimiento y el desarrollo de la vegetación. Esto no solo optimiza la gestión agrícola, sino que también impulsa una producción más sostenible y resiliente frente al cambio climático.
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    Bancos de germoplasma y el depegue de la consciencia ecológica
    (Presentation, 2025-05-14) Debouck, Daniel G
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    Review of tricot principles and data analysis workflows
    (Presentation, 2025-05-15) De Sousa, Kaue; Laporte, Marie-Angelique; Van Etten, Jacob
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    Potential of different Urochloa grass hybrids to enhance soil organic carbon stocks in a Mollisol of Valle del Cauca, Colombia
    (Poster, 2025-04-27) Rodriguez, Leonardo; Bastidas, Mike; Villegas, Daniel; Prado Murcia, Madyan Vanessa; Benito, Marta; Subbarao, Guntur; Costa Junior, Ciniro; Idupulapati, Rao; Arango, Jacobo
    Increasing soil organic carbon (SOC) in grasslands is a promising strategy to mitigate greenhouse gas (GHG) emissions from livestock. Some Urochloa grasses with deep roots enhance SOC in acidic, low-fertility tropical soils (Fisher et al., 1994). At the Alliance Bioversity-CIAT, genetically diverse Urochloa grasses are used in breeding programs to develop hybrids with improved stress tolerance, forage quality, and reduced GHG emissions. However, deep-rooting traits linked to SOC accumulation (sequestration) have not yet been targeted. Since these improved grasses are important for sustainable livestock systems, it is necessary to explore their role in SOC storage.