1	ST 7 The Solution for Your Research Data Needs
2	Information flow with ST 7
3	New criteria Choose a study definition similar to the trials to summarize ST can summarize across study definitions unless a search term is entered in a criteria field that is not present in trials to summarize.
4	Blank criteria Interface similar to ARM 7 Same functions keys
5	Create your treatment list Select Treatment Fields to Match
6	Treatment Criteria Editor – Fields specific to ST Rate % Dev : Percent rate deviation for one treatment line Excl Match : Identify treatments that must be present to include a trial (When Selected Treatment Matching) Equiv Trt : Identify treatments that should be considered the same even though they are entered differently in trials to summarize
7	Plot data header – Main Criteria Wildcards Match and Combine wildcards * To match from indicated position to end of the field ? To match one character (Blank) Only match empty data entry Match and Separate wildcards @ To match from indicated position to end of the filed
8	Match and Separate Wildcard S@ = Select columns with Pest starting with S, and create new summary data column for each different item
9	Match and Combine Wildcard S* = Select columns with Pest starting with S, and combine into one summary data column
10	Right Click Menu Plot Data Header Select the right mouse button to display options for defining matching rules for entries in the Plot Data Header criteria editor and other common criteria commands.
11	Right Click Menu Treatments list Select the right mouse button to display options for defining matching rules for entries in the treatment criteria editor, and other common treatment criteria commands.
12	Plot data header – Multiple possibilities S@ = only columns with Pest starting with S + Separated columns * = any part rated - Combined CONTRO = exact match Pest density within a range of 5-15 plants by sqm Trt-Eval Interval within a range of 10-30 DAT and another column 31-60 Display results with 2 decimals
13	Plot data header – Multiple possibilities Starting with S CONTRO 5-15 Pest Dens 10-30 DAT 2 decimals
14	Scan for Criteria – Use Criteria Scan for Criteria button scans through selected trials for entries in selected field Use criteria button inserts highlighted item into current editor field
15	Scan for Criteria – Use Criteria
16	Scan for Criteria – Use Criteria Drop-down combo box lists all existing entries for selected trials
17	Key points to remember when creating one criteria Begin with very general criteria Determine first what information is available Then make criteria more specific to isolate interesting information Know your data! Have an idea, even rough, about the number of data you should find in your summary Do not hesitate to test ST has no impact on raw data itself and cannot harm your original files Criteria can be prepared beforehand For example based on .SE or on Protocols Treatment and plot data header criteria must be entered to obtain treatment means Validate your trials before starting to work with ST 7 Do the results match your experience with the product? Do they make sense from an agronomical point of view? Common error: to combine late assessments with early assessments
18	Begin Summary
19	Summary Messages Information on number of trials tested Displays what trials match and what trials failed to match Number of Grand Mean columns created
20	ST Summary
21	Benefits of using ST 7 ST 7 can save many hours of time for each trials series Data consistency of your ARM trials is easier to check ST 7 is easy to learn, same interface as ARM 7 Raw data are not modified Some other questions can be answered with ST 7 For example: Find out one given weeds in a big set of trials Extract list of trials for a given country Where does the soil type need to be added?
22	GDM - Gylling Data Management, Inc.