Now showing items 1-6 of 6
Interpolation techniques for climate variables
This paper examines statistical approaches for interpolating climatic data over large regions., providing a brief introduction to interpolation techniques for climate variables of use in agricultural research, as well as ...
Analysis of maize production in Honduras: linking census data to environment variables through geographic information systems
Because data from traditional censuses are not spatially referenced, biophysical information is generally the only type used to define the spatial domains for targeting technologies. Using existing census data for Honduras ...
Modeling extremes of wheat and maize crop performance in the tropics
In a workshop sponsored by the Natural Resources Group (NRG) of the International Maize and Wheat Improvement Center (CIMMYT), scientists from the USA, Canada, South Africa and CIMMYT gathered at CIMMYT headquarters during ...
An agroclimatological overview of wheat production regions of Bolivia
This report describes use of the Spatial Characterization Tool (SCT) developed by Texas A&M University to analyze the similarity of the climates of research sites in the major wheat production areas in Bolivia --the highland ...
Directions in modeling wheat and maize for developing countries
In a workshop sponsored by the Natural Resources Group (NRG) of the International Maize and Wheat Improvement Center (CIMMYT), crop modelers, crop physiologists, and other scientists from around the world met at CIMMYT ...
Modeling temperature response in wheat and maize
During the workshop “Modeling Temperature Response in Wheat and Maize,” held from 23 to 25 April 2001 at CIMMYT’s headquarters at El Batan, Mexico, participants examined various approaches for modeling temperature effects ...