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Development of a Weather Yield Index (WYX) for Maize Crop Insurance in Malawi









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    Development of a Weather Yield Index (WYI) for Maize crop insurance in Malawi 2006
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    a prototype Malawi Maize Production Index (MMPI), constructed from weather data recorded by the Malawi Meteorological Office weather stations throughout the country, to capture maize production levels in Malawi. The aim is to find a simple and objective indicator that can be used as a proxy measure of the countrywide exposure of Malawi maize production to drought and hence serve as a nation-wide food security indicator on which an insurance agreement could be written for the Government of Malawi (GoM).
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    FAO-WMO Roving Seminar on Crop-Yield Weather Modelling. Lecture Notes and Exercises 2017
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    Crop-yield weather modelling refers to the techniques which can be used operationally to determine the likely effect of weather on yields. Although the incidence of weather conditions on yields is well established, its quantitative assessment is not always straightforward: time series analyses of agricultural statistics show that the inter-annual variability1 of crop yields can be roughly subdivided into 3 components : trend, direct weather factors and indirect weather effects (pests, diseases, weed competition, etc.).
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    An Introduction to the Art of Agrometereological Crop Yield Forecasting Using Multiple Regression
    Crop Yeald Forecasting and Agrometeorology Sub-Project UTF/BGD/029, ASIRP/DAE
    2001
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    It is suggested that the approach used by FAO and a number of developing countries for crop forecasting at the national level strikes a good compromise between input requirements and ease of validation. The article thus describes the FAO crop modelling and forecasting philosophy.

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