Abstract

Improving Targeting in Potato Production Systems in the Peruvian Andes
Track: Agriculture
Authors: Rubí Raymundo

Areas for intervention are targeted by linking data on poverty rate, potato cropping area, accessibility and vulnerability to climate change (CC). Poverty, potato and accessibility data were classified in tree classes and only areas with medium and high rankings were selected. Additionally, the potential potato productivity for 2000 and 2050 scenarios was estimated through a potato growth simulation model linked to a GIS program. The 2000 scenario was used to calculate the gap between the actual and potential yields and the difference between 2000 and 2050 was used to assess the vulnerability of the potato crop in a CC situation. The results show that the region spanning from the Central to the Southern Peruvian Andes have medium to high rankings of poverty, potato cropping area and accessibility. In these regions, actual yields reaches only 20% of the potential productivity and CC is expected to increase potential productivity by 30%.