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Crop Yield Forecasting

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FIGURE 1.4.<br />

<strong>Crop</strong> Growth Model simplified scheme<br />

Source: modified from Baruth 2013.<br />

The WOFOST model uses a set of input variables – including 46 crop parameters, the crop calendar,<br />

and regional cultivars some parameters of which have been modified – to produce the following<br />

output variables: 1) crop development stage; 2) crop total biomass and yield under potential and<br />

water-limited conditions; 3) crop leaf area index under potential and water-limited conditions; and 4)<br />

soil moisture, transpiration.<br />

The plant’s physiological age is defined by its development stage, each of which is characterized<br />

by the formation or appearance of different organs. The most important phenological change<br />

occurs from the vegetative to the reproductive stage, which determines a large redirection of<br />

dry matter allocation towards the plant organs. Because many physiological and morphological<br />

processes change once the phenological stage begins, its accurate quantification is essential<br />

for any crop growth simulation model. For many annual crops, the development stage can<br />

be conveniently expressed as a dimensionless variable, having a value of 0 at seedling<br />

emergence, of 1 at flowering and of 2 at maturity. To mark the beginning of the growing<br />

season, either the sowing or emergence date may be chosen; however, if the sowing date<br />

is selected, the WOFOST model determines the emergence date and thus the beginning<br />

of the crop growth simulation. The crop emergence can be defined as a function of the<br />

sum of effective daily temperatures since the sowing date. Emergence takes place when<br />

the sum of effective daily temperatures reaches the emergence threshold temperature. This<br />

threshold temperature is crop-specific and should be provided by the user. The daily effective<br />

temperature depends on the base temperature, below which no phenological processes<br />

<strong>Crop</strong> <strong>Yield</strong> <strong>Forecasting</strong>: Methodological and Institutional Aspects 39

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