Short Communications/Kort Mededelings

Typifying late-season weather for maize yield prediction

Published in: South African Journal of Plant and Soil
Volume 5, issue 1, 1988 , pages: 46–47
DOI: 10.1080/02571862.1988.10634250
Author(s): B., St. E. Clemence, Republic of South Africa, J.B. Mallett, Republic of South Africa

Abstract

Long-term weather data were used to generate typical weather records. By substituting typical weather data for actual late-season weather data it was possible to compute yield predictions using the model CERES-Maize, and compare these with predictions based on full season actual data. Yield predictions made at anthesis deviated by an average of 31,5% from those obtained using actual weather data, while predictions made 30 days later reduced the mean percentage prediction error to 1,8%.

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