CIP Science Goal: Regenerative Agriculture
Permanent URI for this collectionhttps://hdl.handle.net/10568/158293
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Item Género e Inclusión Social: Investigación y aproximaciones transformativas en género(Presentation, 2025) Jirón, J.P.Item Memoria de la reunión. Una enfermedad, muchos riesgos: el complejo Punta Morada y su potencial impacto en la agricultura nacional(Report, 2025-06) Polar, V.; Mercado, P.; Andrade-Piedra, J.L.Item Psílido de la papa y Zebra Chip en los Andes: riesgos y manejo(Presentation, 2025-05-27) Andrade-Piedra, J.L.; Gamarra, H.; Perez, W.; Correa, Y.; Carhuapoma, Pablo; Navarrete, I.; Fuentes, S.; Kreuze, Jan F.Item Pesticides and their impact on entomofauna in Andean farmers’ fields in Ecuador(Journal Article, 2025-04-25) Mina, D.; Cayambe, J.; Cárdenas, T.; Navarrete, I.; Dangles, O.El desconocimiento del uso racional de insecticidas conlleva a que agricultores de países en desarrollo como Ecuador sobrepasen el límite de aplicaciones permitidas. Además, poco se conoce del efecto que tienen los insecticidas sobre la entomofauna de Lupinus mutabilis (chocho). Este estudio busca analizar el efecto de los insecticidas sobre plagas e insectos benéficos con especial énfasis en polinizadores, sin descuidar el efecto sobre el rendimiento del cultivo. Se tomó como referencia la entomofauna asociada al cultivo de chocho. Se evaluaron 79 campos agrícolas en CotopaxiEcuador, con tratamientos con químico, sin químico y sin ningún control. Una vez socializado el experimento, los agricultores eligieron el manejo para sus campos con las recomendaciones de los investigadores. Para el monitoreo de insectos se usaron trampas pegantes y de plato de color amarillo. Se obtuvieron variables de abundancia y diversidad de insectos. El uso y aplicación de plaguicidas se registró usando encuestas desarrolladas con Survey 123. Los resultados muestran que la aplicación de insecticidas no siempre fue efectiva en el control de las plagas analizadas. Además, los tratamientos evaluados tuvieron efectos distintos según el tipo de insecto polinizador analizado. Por otro lado, se observó que ciertas plagas, en especial barrenadores podrían inducir un efecto de respuesta positivo (70 % más de flores) que beneficiaría el rendimiento final. Estos resultados podrían sugerir que los controles de plagas para este cultivo deberían ser más dirigidos y realizarse antes de la floración, esto evitaría causar daños a polinizadores, barrenadores y probablemente enemigos naturales de plagas.Item SAKAFO FENO ny BAgeda Miaty Laoranjy BAMILA (ahitana hery fiasana sy hery fiarovana no sady misy Vitaminy A) afangaro amin’ny karazan-tsakafo(Brief, 2025) International Potato CenterItem Ny vomanga miaty laoranjy sy ny fanjariantsakafo(Training Material, 2025-04) International Potato CenterItem Varotra sy Fandraharahàna mifandraika amin’ny vomanga miaty laoranjy(Training Material, 2025-04) International Potato CenterItem Fomba fahandro karazana mofo vomanga miaty laoranjy(Training Material, 2025-04) International Potato CenterItem Fanaraha-maso, fampielezana ary fanombanana ny Vomanga miaty laoranjy(Training Material, 2025-04) International Potato CenterItem Anjara birikin’ny vomanga miaty laoranjy amin’ny ady amin’ny tsy fanjarian-tsakafo sy ny fanoitra amin’ny fiovan’ny toetrandro any amin’ny faritra karankaina eto Madagasikara(Brief, 2025-04) International Potato CenterItem Systeme semencier de la pomme de terre a Madagascar(Brief, 2025) Wauters, P.; Rasoloniaina, B.; Rukundo, P.; Sharma, K.; Atieno, E.; Nyawade, S.; Ralisoa, N.; Raoelimanana, H.Item Weather uncertainty and demand for information in technology adoption: Case of Namibia(Journal Article, 2025-06) Visser, M.; Mulwa, C.K.; Gitonga, Z.; Baard, M.This study examines the impact of risk and ambiguity preferences on farmers' technology adoption decisions under uncertainty, with an emphasis on the role of precise weather information in guiding these decisions. Using framed lab-in-the-field experiments conducted with rural households in the North-Central region of Namibia, we elicit individual risk and ambiguity attitudes and observe technology choices across varying levels of known and unknown probabilities of favourable weather. Our findings show that risk-seeking behaviour significantly increases the likelihood of adopting higher-risk, higher-return agricultural technologies when probabilities are known. Under ambiguity, both risk and ambiguity preferences significantly influence technology choices, with ambiguity-averse farmers tending towards safer options. Importantly, we demonstrate that farmers' willingness to pay for precise weather information escalates with the level of objective uncertainty that they face. Access to accurate weather forecasts leads to significant improvements in weather-related decisions under complete uncertainty, promoting the adoption of improved technologies and increasing expected payoffs. These results underscore the crucial role of objective uncertainty in shaping demand for information and highlight the potential of targeted weather information services to enhance farmers' agricultural decision-making, particularly in the arid and semi-arid regions of sub-Saharan Africa. Our study contributes to the literature by providing empirical evidence on how reducing uncertainty through information provision can facilitate technology adoption, suggesting that investments in weather forecasting and dissemination could substantially benefit farmers in regions vulnerable to climate variability and when there are high levels of objective uncertainty.Item Fomba fiarovana amin’ny aretina sy bibikely mpahazo ny vomanga(Manual, 2025) International Potato CenterItem Item GROWING Nutritious Foods, GROWING Futures. Starting to work with two times more Growing Future Clubs while designing and implementing the innovative market linkage component.(Brief, 2024-10) Temesgen, B.B.; Gyan-Bassaw, P.Management complexity of the project increased as this period focused on the setting up of the innovative market linkage component and farming as a business training to serve 37 Cycle 1 Growing Futures Clubs (GFCs), while year 1 trainings and dissemination of the planting materials in the gender-transformative, climate-smart agriculture-nutrition-savings components of the two-year intervention for the 72 Cycle 2 GFCs took off. The 2024 agricultural season experienced more than 40 days of drought during July-August, affecting demonstration plots and reducing yields, but also highlighting the greater resilience of orange-fleshed sweetpotato (OFSP) compared to maize. Monitoring efforts indicate that the gender-transformative approach is positively influencing dietary behaviors and gender relations within many households.Item Trees, terraces and llamas: Resilient watershed management and sustainable agriculture the Inca way(Journal Article, 2025-01-27) Frogley, M.R.; Chepstow-Lusty, A.; Thiele, G.; Chutas, C.A.The Inca and their immediate predecessors provide an exceptional model of how to create high-altitude functional environments that sustainably feed people with a diversity of crops, whilst mitigating erosion, protecting forestry and maintaining soil fertility without the need for large-scale burning. A comparison is provided here of landscape practices and impacts prior to and after the Inca, derived from a unique 4200-year sedimentary record recovered from Laguna Marcacocha, a small, environmentally sensitive lake located at the heart of the Inca Empire. By examining ten selected proxies of environmental change, a rare window is opened on the past, helping to reveal how resilient watershed management and sustainable, climate-smart agriculture were achieved. We contend that, in the face of modern environmental uncertainty, a second climate-smart agricultural revolution is necessary, but one that accounts for the significant social capital of highland communities whilst still leaning heavily on native crops, trees and livestock.Item Discriminating Robusta coffee (Coffea canephora) cropping systems using leaf-level hyperspectral data(Journal Article, 2025-02-11) Kebede, G.; Mudereri, B.T.; Abdel-Rahman, E.M.; Mutanga, O.; Landmann, T.; Odindi, J.; Motisi, N.; Pinard, F.; Tonnang, H.E.Z.The coffee agro-ecosystems are increasingly being transformed into small-scale coffee-growing agricultural systems. In this context, the challenge of accurately classifying coffee cropping systems (CSs) becomes more significant, particularly in regions such as Uganda where dense vegetation and diverse topography complicate traditional land surveys. We harness the capabilities of remote sensing to provide hyperspectral data crucial for distinguishing between various coffee CSs and other land covers. Specifically, we focus on the spectral analysis of three types of Robusta coffee CSs—those integrating agroforestry, those combined with banana cultivation, and those in full sun exposure. Using in situ hyperspectral measurements captured by the FieldSpec 2™ spectroradiometer across the 325 to 1075 nm range of the electromagnetic spectrum, we aimed to (1) analyze the unique spectral properties and behaviors of these Robusta coffee CSs and (2) effectively discriminate among them using advanced hyperspectral datasets alongside the machine learning (ML) classification algorithms. The key to this process was the use of narrow spectral bands (NSBs) and various narrow-band vegetation indices (VIs), serving as predictor variables. A selection of critical variables (NSB = 9 and VIs = 8) was identified through the guided regularized random forest (RF) technique and then applied to four ML algorithms—RF, stochastic gradient boosting (GB), linear discriminant analysis, and support vector machine for classification experiments. The findings indicated high discrimination accuracy, with the RF and GB algorithms achieving overall accuracies of 93% and 90.5%, respectively, when using the selected VIs, and 87.3% (RF) and 83% (GB) when applying the chosen NBSs. These results underline the efficacy of integrating hyperspectral datasets and ML algorithms in reliably categorizing Robusta coffee CSs, a crucial step toward enhancing sustainable coffee cultivation practices.Item Nutrition—sensitive agricultural interventions and maternal and child nutrition outcomes in arid and semi—arid lands of Kenya(Journal Article, 2025-02) Grant, F.; Amunga, D.; Mulwa, C.K.; Moyo, M.; Kwikiriza, N.; Malit, J.; Mwaura, L.; Maru, J.; Heck, S.Item Potato seed systems in Madagascar(Brief, 2025-02) Wauters, P.; Rasoloniaina, B.; Rukundo, P.