
Plant Growth Analysis



The expression Crop Growth Analysis (CGA) generally refers to useful set of quantitative methods describing and interpreting the behaviour of whole plant/crop systems under natural, semi-natural or controlled conditions.

The bases for CGA are primary data such as weights, areas, volumes and contents/components of plants/crops elaborated dynamically for describing the entire system behaviour.
Two distinct approaches to CGA have evolved: classical (or intervals) and functional one.


The problems with the interval method are that it computes the growth analysis indices using two sampling dates and therefore assumes linear growth between the two sampling dates and that sampling errors can have a relevant effect on the value of indices itself, so a high number of replication is required.

Functional approach typically is more robust functional approach, even if some small time scale effect can be hidden because original values of crop data are substituted by their interpolated values.

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Last Update 01.08.2015



D. Ditto, M. Acutis, S. Bocchi (2007)
4th Inter. TRC, June 25-28, Novara, Italy.
(available online).
4th Inter. TRC, June 25-28, Novara, Italy.
(available online).

A.C. Sparacino, C. Santin, D. Ditto, F. Tano (2007)
4th Inter. TRC, June 25-28, Novara, Italy.
(available online).
4th Inter. TRC, June 25-28, Novara, Italy.
(available online).