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.