Ent 442/542 L Coop Lab 1: HOWTO
Degree-days and phenology models
How to determine developmental requirements from lab and field data
Methods for doing assignment 1,
http://pnwpest.org/ent442/phenmod442_06.html
Jan. 2006
Purpose of lab: to derive a simple degree day model, with 2 parameters, the
lower threshold and DDs for development, for the egg stage of a moth pest.
We have two types of data: constant temperature lab rearing data, and field
data from caging studies. We will use the x-intercept technique for lab data,
and lowest C.V. technique for field data, and compare. Note that these data
are not the same as your actual assignment (and are in degrees F rather than C).
1) Lab data:
starting with constant temperature data such as these:
Temp (F) Days
------- ------
50 40
60 20
70 13
80 9
Step 1: Compute inverse of Days (1/days) in a new column:
1/Days
-------
0.025
0.05
0.0769
0.1111
Step 2: Do linear regression of Temp (as x-range) on 1/Days (as y-range)
Excel: use menu items: Tools, Data Analysis, Regression
Place results in same sheet (highlight an area such as below here):
Shown here are a portion of the results:
coefficient SEM etc
a = intercept -0.1196
b = x-variable 0.00285
These results indicate that the regression equation is Y = a + bx = -0.1196 + 0.00285 * x
Step 3: Obtain the Tlow and Deg Days for development from the equation:
Tlow = x-intercept = equation solved for when Y = 0, so:
0 = -.1196 + 0.00285 * x
rearranged:
x = -a/b = .1196/0.00285 = 41.96 so Tlow = 42 degrees F
Deg Days = 1/slope = 1/b = 350.8 degree-days for development
So we now have used the x-intercept method on lab data
After you are familiar with the lowest CV method for field data, you
should also apply it to the lab data.
2) Field data:
From a field study, we had four replicates, with these (made-up) results:
Start days DDs to hatch for Tlow values (computed with a DD calculator):
Rep date to hatch 39 42 45 48
-------------------------------------------------------------
1 6/23 38 351 332 327 310
2 7/12 27 333 325 303 300
3 7/31 24 340 327 310 294
4 8/22 26 314 305 288 270
Step 1: Compute means of DDs for each Tlow (use function button Fx in Excel)
average=x= 334.5 322.25 307 293.5
Step 2: Compute st. dev. of DDs for each Tlow (use function button Fx in Excel):
St.dev=s= 15.54 11.87 16.18 17
Step 3: Compute coefficient of deviation (C.V.) of DDs for each Tlow:
C.V. = s/x*100 = 4.65 3.68 5.28 5.79
Step 4: Select "best" model for threshold with lowest C.V.:
Tlow = 42 (because the C.V. was lowest for a threshold of 42 F)
Deg days = 322 (the average DDs for the Tlow=42)
3) Finally: compare results from the two methods and discuss:
The lab (x-intercept) method resulted in a Tlow = 42, DDs = 351, while the field data,
which are likely to be more appropriate for a working IPM model,
gave us Tlow = 42 and DDs = 322. So, for this case, the lab and
field agree for Tlow=42, and I would use the field value of 322 DDs for development time.
To implement this model, we might monitor females with light traps, and start
computing DDs at Tlow=42, as soon as we catch a significant number (or see a
peak), and expect peak egg hatch to occur after about 322 DDs. This is based on the understanding
or assumption that peak egglaying corresponds to peak catch.