In this section, it is evaluated how the experimental design, i.e.,
the experiments performed, influence the parameter estimation
procedure when focusing on a single environmental factor.
In 2010, we already proved that the four CTMI parameters can
be defined very efficiently and accurately from one dynamic
experiment (Van Derlinden et al., 2010). Prerequisites are that (1)
the initial Tmax estimate is realistic, and (2) the dynamic tempera-
ture profile is selected using the OED/PE technique, which guar-
antees a high information content. Even though this approach has
been proven efficient to define the parameters related to one
environmental factor, it is less straightforward when studying the
effect of multiple environmental factors simultaneously. As the
latter is the final focus of this work, we will focus on designs that
consist of a series of constant level-experiments.
In this section, it is evaluated how the experimental design, i.e.,
the experiments performed, influence the parameter estimation
procedure when focusing on a single environmental factor.
In 2010, we already proved that the four CTMI parameters can
be defined very efficiently and accurately from one dynamic
experiment (Van Derlinden et al., 2010). Prerequisites are that (1)
the initial Tmax estimate is realistic, and (2) the dynamic tempera-
ture profile is selected using the OED/PE technique, which guar-
antees a high information content. Even though this approach has
been proven efficient to define the parameters related to one
environmental factor, it is less straightforward when studying the
effect of multiple environmental factors simultaneously. As the
latter is the final focus of this work, we will focus on designs that
consist of a series of constant level-experiments.
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