Re: fitting smaple within plot data

scott
yes. simply have to fit the following model

asreml(y~trt,random=~ar1v(col):ar1(col),....)

I believe. This includes plot effects which are correlated. It is a simple
example similar to the one I presented in Bribie with 2 vines per plot, in
which you want to get

Source

Mean

Reps

Plots
 Trt
 Residual

Within Plots
  Residual

cheers

Brian Cullis
Research Leader, Biometrics &
Principal Research Scientist
NSW Department of Primary Industries
Wagga Wagga Agricultural Institute

Professor,
Faculty of Agriculture, Food & Natural Resources
The University of Sydney

Phone: 61 2 6938 1855
Fax: 61 2 6938 1809
Mobile: 0439 448 591

Scott Chapman <Scott.Chapman_at_CSIRO.AU>
Sent by: ASReml users discussion group <ASREML-L_at_AGRIC.NSW.GOV.AU>
14/10/2007 08:28 PM
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Subject
fitting smaple within plot data

We're looking at some leaf growth data with multiple measurements
(nominally 10 PLANTS) per PLOT. The plots have a spatial structure (ROW x
COL) in the field, but the plants are random within plots and so do not
relate to each other in any structure. I'm using ASREML-R.

While I have simply calculated sample means per plot and then done used a
standard ar1 x ar1 R structure, I'm wondering if there is a way to do this
using the original data, and making use of any sample variance information
(or at least saving me the trouble of calculating the means)?

Consider the data to have the following FACTORS (num levels) with
GENOTYPEs as random and leaflength as the variate....

PLOT (400) GENOTYPE (200) REPLICATE (2) ROW (20) COL (20) PLANT (10)
leaflength

thanks,
scott c.
Received on Fri Oct 15 2007 - 06:38:46 EST