Development of a Weather-yield Function for Winter Wheat1
- Arlin M. Feyerherm and
- Gary M. Paulsen2
Crop models require detailed knowledge of weather relationships for estimating and predicting yields. Objectives of this research were to develop a weather-yield function (WYF) for winter wheat (Triticum aestivum L.) that had stable coefficients and minimal bias over a wide range of climates. The WYF was derived by regressing 966 location-years of plot yields, adjusted for genetic gain, on candidate sets of weather-related variables, applied N, location-related variables, and time. Applied N, location, and time variables were included to reduce bias in coefficients of weather-related variables. The portion of the regression function that included only weather-related variables became the WYF. Observations used for regression came from a wide range of climates with high interannual variance. Values of WYF ranged from 546 to 2765 kg ha−1; they reflected deleterious effects of high and low temperatures and of inadequate and excessive moisture during the crop yield. Besides estimating the impact of weather on yields, the WYF can be applied to identifying yield-limiting factors and managing wheat for increased productivity.Please view the pdf by using the Full Text (PDF) link under 'View' to the left.
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