j******1
发帖数: 62 | 1 Below is the problem.
A multi-site agricultural experiment is being planned in which several
varieties of a given crop are going to be allocated to plots within each
site using a randomized complete-block layout. The sites have been chosen
to differ dramatically over the range of the environments in which the crop
is grown. Varietal differences are not expected to homogeneous over the
sites, and the best performing varieties at some locations are not expected
to be the best performing varieti |
s*******e
发帖数: 1385 | 2 There is interaction between block (sites) and treatment 1 (varieties). I
guess that you may consider block as another treatment 2 and then test the
differences among different levels of treatment 2 (different sites).
I am also new, so you may want some advice from others.
chosen
crop
expected
【在 j******1 的大作中提到】
: Below is the problem.
: A multi-site agricultural experiment is being planned in which several
: varieties of a given crop are going to be allocated to plots within each
: site using a randomized complete-block layout. The sites have been chosen
: to differ dramatically over the range of the environments in which the crop
: is grown. Varietal differences are not expected to homogeneous over the
: sites, and the best performing varieties at some locations are not expected
: to be the best performing varieti
|
j******1
发帖数: 62 | 3 This seems to be a good idea. How about cluster analysis? The professor wants
us to use cluster analysis, I have no idea how to apply cluster analysis in
RCBD.
thanks for your answer.
【在 s*******e 的大作中提到】
: There is interaction between block (sites) and treatment 1 (varieties). I
: guess that you may consider block as another treatment 2 and then test the
: differences among different levels of treatment 2 (different sites).
: I am also new, so you may want some advice from others.
:
: chosen
: crop
: expected
|
l*******n
发帖数: 19 | 4 The differences in block appear to lie in the different enviromental factors
(e.g. temperature or sunlights). You could group sites in terms of those
factors by cluster analysis.
The grouping may be reasonble if you have too many sites.
It is not clear what is the study purpose. Clearly you cannot make
inference on the overall differences among varieties. However, if you sort
out the important enviromental factors, combing with variety, you may have
a fatorial design problem here. Dependi |
