Characterization of Forage Resources, Evaluation and Forecasting Productivity

Innovation Strategy 1. Resilient Farms Strategy 2. Sustainables territories Technological Applied Agronomic Practices 2001 Closed

Code:

FTG/FT-03-01-RG32/01

Initiative:

Call for Proposals

FONTAGRO Amount:

USD 100.000

Counterpart Amount:

USD 85.000

Execution time

36 Months

Total Amount:

USD 185.000

Participating countries:

Argentina

United States Uruguay

Uruguay

Funding source:

FONTAGRO Amount 54% Other agencies 0% Counterpart Amount 46%

Executive Summary

As the best lands in southern South America turn to agriculture, ranching is limited to less suitable lands in which natural vegetation (grasslands and shrubs) is the main forage resource. This project proposes the development of general knowledge and technologies for a more efficient and sustainable livestock use of the natural vegetation of the three most important livestock regions in southern South America: the grasslands of the Río de la Plata, the Monte and the Patagonian steppe. Livestock farms in these regions are going through a deep ecological and economic crisis that makes the development of new production technologies urgent. It is proposed to base the transformation of these production systems on a set of technologies that seek to characterize, understand, and forecast the primary production (forage supply) of the different ecosystems involved.

The general objective of the project was to characterize forage resources in the grasslands of the Río de la Plata and Patagonia at the regional and farm levels, and to develop forecasting systems of primary productivity that are easily accessible to the producer. The goal was to make spatially explicit information about the status and probability of change of forage resources, as well as the impact that the use of such information has on the economy of livestock companies and the sector, available to producers, technicians, officials and politicians.

The technological solution

Use of information provided by remote sensors with field data and simulation models to calibrate the relationship between the Normalized Difference Vegetation Index (NDVI) and the Above-ground Net Primary Productivity (ANPP) for different forage resources and environments. Prospecting systems were developed (based on the historical behavior of the NDVI and climatic variables for the period 1981-2000) and forecasting for farms in different regions and production systems, implementing management strategies that optimize in economic, social and environmental the use of acquired information.