CM Box User GuideMain Page | About | Special pages | Log in

Printable version | Disclaimer | Privacy policy | Current revision

(Difference between revisions)

Revision as of 10:56, 24 August 2006
Peter (Talk | contribs)
(Analyzing trends)
← Previous diff
Revision as of 11:02, 24 August 2006
Peter (Talk | contribs)
(Getting a good yield time series)
Next diff →
Line 27: Line 27:
==Getting a good yield time series == ==Getting a good yield time series ==
 +Getting a good series of yield data requires the application of some detrending statistics to get the so-called detrended yield.
 +
 +The detrended yield is the departure of yield values from the time-trend, assumed to take into account the technology and management component of yield. Like in many developed countries, radiation, not rainfall, is the main limiting factor to agricultural production. The time-trend accounts for about 80% of the total variation of yields, leaving about 20% to be accounted for by other factors.

Revision as of 11:02, 24 August 2006

By R. Gommes


Analyzing yield trends

An increase in crop yield from year to year may be explained by gradual improvements in technology, while other variables such as weather conditions, pests and diseases, input availability are all fairly constant or “under control”. The factors which affect the variability of agricultural yields can roughly be grouped in three categories according to their variations over time:

  • growing smoothly, such as more or less regular technology and management trends (i.e. mechanization, varieties, irrigation, and the farmers know-how), but growing more abruptly for several years in succession in the case of innovations. A typical innovation would be the new introduction of irrigation;
  • discontinuous, like extreme factors of various origins and policy decisions which affect management (for instance, farmers may decide to use less fertilizer if it is no longer subsidized) or infrastructure, such as the construction of a road which provides access to new markets;
  • pseudo-cyclic, like weather. The result may be a complex curve where it is often rather difficult to separate weather from other factors, particularly if weather itself is affected by a trend...

A graphical example is given below.

A theoretical example of some of the factors affecting agricultural yields (the heavy red line): technology and management trends, innovation, policy, extreme factors and weather

Getting a good yield time series

Getting a good series of yield data requires the application of some detrending statistics to get the so-called detrended yield.

The detrended yield is the departure of yield values from the time-trend, assumed to take into account the technology and management component of yield. Like in many developed countries, radiation, not rainfall, is the main limiting factor to agricultural production. The time-trend accounts for about 80% of the total variation of yields, leaving about 20% to be accounted for by other factors.







Page generated in 0.157618 seconds.