Evidences
89 results
AI is transforming the manufacturing and application of nitrogen fertilizers in the U.S. by analyzing soil, weather, and crop behavior to support precise nutrient management strategies.
Precedence Research (2026)
Precedence Research. (2026, February 19). U.S. Nitrogenous Fertilizer Market Size, Share and Trends 2026 to 2035. https://www.precedenceresearch.com/us-nitrogenous-fertilizer-market
44% increase in the value of guinea pig production among producers benefiting from the AGROIDEAS iniciative (MIDAGRI, 2024).
MIDAGRI, 2024
92% increase in coffee yield per hectare among producers benefiting from the AGROIDEAS program (MIDAGRI, 2024).
http://hdl.handle.net/20.500.13036/2041
61% increase in the value of coffee production among households supported by the AGROIDEAS iniciative (MIDAGRI, 2024).
MIDAGRI, 2024
31% increase in self-employment income among households with longer participation in the AGROIDEAS iniciative (MIDAGRI, 2024).
MIDAGRI, 2024
This study evaluates the impact of intercropping maize with native beans on the morphological growth, yield, and nutritional composition of forage intended for silage in the Peruvian Amazon. Treatments between maize monoculture and bean intercropping are compared, as well as different phenological stages (R2, R4, and R5). The results show improvements in protein, fiber, and productive parameters of the forage when intercropped, especially at stage R4 (Alcoser et al., 2025)
Alcoser Orbe, Y. B., Fernández Teneda, Y. A., Lazo Chávez, J. M., Aquino Chujutalli, D. A., Díaz Chuquizuta, H., Vallejos Torres, G. J., & De la Cruz, A. (2025)
Instituto Nacional de Innovación Agraria (INIA)
8.9% of the 497 productive articulation initiatives (PAI) (20 countries, 2023–2025) prioritize product or process innovation as their strategic focus, according to the report (ECLAC, 2025).
8,9% de las 497 iniciativas de articulación productiva (IAP) (20 países, 2023–2025) prioriza la innovación en productos o procesos como foco estratégico, según el informe (CEPAL, 2025).
A study of 159 Gyr crossbred dairy cows under tropical conditions in Peru compared two estrus synchronization protocols (conventional PC9 vs. extended J-Synch6) for follicular timed induction (FTAI) and evaluated their relationship with heat stress index (THI) in seven critical phases of the program. Both protocols showed similar estrus and pregnancy rates, but J-Synch6 produced larger preovulatory follicles, and its estrus manifestation was more sensitive to hours without heat stress (THI < 72) and to stress peaks (THI ≥ 83) during the follicular growth phase (Vásquez et al., 2025).
Vásquez-Tarrillo, R. W.; Hernández-Guevara, J. E.; Depaz-Hizo, B. A.; Ampuero-Trigoso, G.; Poclín-Rojas, A. Y.; Rojas-Reategui, M.; Segura Portocarrero, G. T.; Juarez-Moreno, J. D.; Quispe-Ccasa, H. A. (2025)
Instituto Nacional de Innovación Agraria (INIA)
This study phenotypically characterizes 74 wild accessions of Myrciaria dubia (camu camu) from the INIA ex situ germplasm bank to identify variability relevant for genetic improvement, conservation, and sustainable use programs. Morphological, physical, and fruit quality characteristics were evaluated, revealing a wide diversity that can be used to select genotypes with higher yield and quality Imán (Correa et al., 2025).
Imán Correa, S. A., Samanamud Curto, A. F., Ramírez, J. F., Cobos, M., & Castro, J. C. (2025).
Instituto Nacional de Innovación Agraria (INIA)
The study conducts a comprehensive review of the use of predictive models to strengthen food security in Latin America, with an emphasis on Colombia. It analyzes 65 studies published between 2014 and 2024 that apply algorithms such as Random Forests and Neural Networks to anticipate agricultural yields, manage climate risks, and optimize resources. The results show that agricultural, climatic, and technological variables predominate, while socioeconomic and nutritional dimensions are underrepresented. The article highlights the need to integrate multidimensional data to develop more robust models that strengthen the resilience and sustainability of food systems in the region.
Universidad de Santander: Bucaramanga, Santander, Colombia.
Universidad El Bosque: Bogotá, Bogota D.C., Colombia.
Universidad Tecnológica de Pereira: Pereira, Colombia.
Trejos-Suárez, J., Pardo, L. V. C., Tabares, J. E., Garzón, S., Bryon, A., & Alarcón, Z. (2025). Modelos predictivos para la seguridad alimentaria en América Latina: Una revisión de alcance. Archivos Latinoamericanos de Nutrición, 75(2), 129-142.
