Low-yield goat farming systems in the dry forest

This study characterizes goat production systems in the Peruvian Amazonian tropical dry forest using multivariate analysis. Productive, reproductive, nutritional, health, and socioeconomic variables were evaluated to identify producer typologies and understand the dynamics affecting the efficiency of the goat system. The analysis allowed for the distinction of groups with differentiated practices and varying levels of technology, which is key to designing interventions aimed at improving productivity and sustainability (Rodríguez et al., 2025).

Rodríguez Vargas, A. R., Tafur Gutiérrez, L., Sessarego Davila, E. A., Alva Tafur, G., Castañeda Palomino, K. M., Haro Reyes, J. A., Ruiz Chamorro, J. A., Barrantes Campos, C., & Cruz Luis, J. A. (2025).

Instituto Nacional de Innovación Agraria (INIA)

PRODAF operability

Two provinces and four value chains were prioritized based on technological gaps and economic relevance. These included Chaco (cotton, livestock) and Entre Ríos (citrus, dairy).

2 provincias y 4 cadenas fueron priorizadas según brechas tecnológicas y relevancia económica. En Chaco (algodón, ganadería) y Entre Ríos (cítricos, lácteos).

Plan distribution

795, 565, 333 and 317 plans were executed in cotton, livestock, dairy and citrus respectively, demonstrating PRODAF's multi-channel focus.

795, 565, 333 y 317 planes se ejecutaron en algodón, ganadería, lácteos y cítricos respectivamente, evidenciando la focalización multicanal de PRODAF.