Examinando por Materia "Agricultural research"

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Agricultural research and extension: trends and challenges in Peru and around the world (2015–2025)
(Frontiers Media S.A., 2025-12-17) Olano Camán, Yadhira Milagros; Cruz Luis, Juancarlos Alejandro; Alvarez Robledo, Yeltsin Abel; Chuquibala Checan, Beimer; Arce Inga, Marielita; Tafur Culqui, Josué; Fernandez Zárate, Franklin Hitler; García Frias, Larry Dustin; Taboada Mitma, Víctor Hugo; Ganoza Roncal, Jorge Juan; Tineo Flores, Daniel; Goñas Goñas, Malluri
Agricultural extension, understood as producer-oriented guidance, is vital for driving technology adoption and sector development. This systematic review (2015–2025) examines global and national trends in agricultural research and extension, witha particular focus on Peru's policy landscape. Internationally, the U.S.A., China, and Europe are identified as leaders in scientific innovation, while Brazil excels regionally through its integrated approach to research, innovation, and extension. Agricultural research is still centralized in Lima on a national level, but expanding capability in areas like Amazonas, Junín, and Puno emphasizes how urgently decentralization is needed. By comparing national research output with MIDAGRI’s Agrarian Development Plan 2021–2030 and relevant Sustainable Development Goals (SDGs), the study reveals strong thematic alignment in innovation, food security, and climate adaptation. Crucially, however, significant shortcomings are identified in governance and the effective inclusion of small-scale producers. Based on these findings, this study recommends strengthening decentralized R&D investment, fostering interregional research networks, and promoting strategic collaboration among universities, local governments, and rural communities. Ensuring the active participation of producers in the innovation cycle is essential for building a more inclusive, resilient, and effective agricultural extension system aligned with sustainable development goals.
Ciencia de datos con R aplicado a estudios e investigaciones agrarias
(Instituto Nacional de Innovación Agraria (INIA), 2026-07-09) Saravia Navarro, David
El presente documento es una presentación del curso-taller "Ciencia de Datos con R aplicada a Estudios e Investigaciones Agrarios", organizado por el Instituto Nacional de Innovación Agraria (INIA) del Ministerio de Desarrollo Agrario y Riego (MIDAGRI) del Perú. El curso aborda el uso del software R y su interfaz RStudio para el análisis estadístico y visualización de datos en contextos agrarios. Se presenta R como un ambiente de programación formado por un conjunto de herramientas muy flexibles que pueden ampliarse fácilmente mediante paquetes, librerías o la definición de nuevas funciones. Es gratuito y de código abierto, parte del proyecto GNU. El contenido incluye: introducción a la plataforma R, lectura de datos, resumen estadístico (summary), estructura de datos (str), gráficos de caja (boxplot), histogramas, tablas de frecuencia, gráficos de pastel (pie), diagramas de dispersión (scatter plots), gráficos 3D con scatterplot3d y rgl, gráficos con ggplot2, matrices de correlación con corrplot y pairs.panels (paquete psych), combinación de gráficas, gráficos de burbujas (symbols), y análisis exploratorio de datos. Se utilizan conjuntos de datos clásicos como iris (flores) y USArrests (datos de arrestos en Estados Unidos) como ejemplos didácticos.
Participatory domestication of agroforestry trees: An example from the Peruvian Amazon
(Taylor and Francis Group, 2001-08-01) Sotelo Montes, Carmen; Vidaurre Arévalo, Héctor; Weber, John C.; Simons, Anthony; Dawson, Ian
Valuable tree genetic resources are declining around many farming communities in the Peruvian Amazon, limiting farmers' options for economic development. The International Centre for Research in Agroforestry is working with farming communities to increase productivity and long-term sustainability of their forests, and to empower them to conserve tree genetic resources. This paper describes some principles of participatory tree domestication, and how researchers are working with farmers to select improved planting materials, reduce the risk of poor tree adaptation, produce and deliver high-quality planting material, and scale up participatory tree domestication.