1. Efficiency of data presentation & utilization in state soybean variety trials Lingxiao (Ling) Zhang Delta Research and Extension Center Mississippi State University Tampa, FL. 01-28-2010

3. State Soybean Variety Test Procedures Variety collection Experimental design Find locations &locations cooperators PreparationPlanting Data collection Harvest Data analysis Result Report Recommendations OVT Group Producers Seed company Uni. researcher Extension agent

4. Hard copy Internet -htm -pdf - xls - database Field Day Report Methods for OVT

5. Soybeans Variety Test Results in Illinois

9. SOYVA 2009SOYVA 2009 - Soybean Variety Selection Program (SOYVA) is a computerized soybean variety selection program (U-AR).

10. Data Utilization from OVT An Internet-base soybean variety trial database for research, extension and production Deltasoy DatabaseModeling Internet Information system

11. Diagram of a three-tier of architecture of a Web-based database

12. Entity relationship diagram of parameters in Deltasoy database.

13. Dependency diagram of parameters in Deltasoy database.

14. Variety selection interface of Deltasoy

15. An example of Deltasoy result table

16. Multi-year => result

17. Multi-year => single variety)

18. Deltasoy – Home page

19. Variety comparison of Deltasoy Database

20. “Disease info” of Deltasoy Database

22. Soypheno

23. “SoyPheno” of Deltasoy Database

24. SoyPheno - search results & recommendation

25. A database for national soybean OVT? Soyrus Soy-r-us

26. Who gets benefit from Soyrus? Crop grower Seed company Private consultant County agent University researcher

27. How can a database help? Multi-year Multi-location Comparing different Variety or systems Add more function for analysis (weighted) Vt = (a) P1 + (b) P2 + (c) P3 + … Long-term data accumulation Initial other research topics

28. Modify Soybean MG Adaptation Zones (Scott and Aldrich, 1970)

29. Test site distribution of OVT SD MS MI IL

30. Materials and Methods Data sources - State soybean variety trials - All soybean producing states Data criteria - Most of irrigated test - Yield over 45 bu/A (3030 kg/h) - 30 varieties or more in a test - Planting date within certain range

31. (Locations selected for creating adaptive zones of soybean MG in the USA) Map construction

32. Zones of optimum soybean maturity groups for maximum yield in the US (Figure was created by the Kriging interpolation method using variety trial data from 1998 to 2003 )

33. Modified zone of optimum soybean maturity groups for maximum yield in the US

34. Application of OVT data Growth stage and maturity prediction at all location? - Data source – latitude, PD & MD - Method – modeling (regression, ANN, etc.)

35. Information links to soybean producing states in the USA

36. Diagram of 3-layers of back propagation ANN

37. A sigmoid function and calculation process for one node.

39. Potential researchable topics using an OVT database * Protein & oil content? - Type of variety - Year trend under diff. envion. conditions * Yield trend? - historical data may tell real genetic gain? * Environmental effects on yield? - G x E - Soil type, - Irrigation, disease, insect

40. Major Problems Funding - USB ? - Other agents? Different focuses for each state - Focus on the similarity Need action - Form a committee

41. Parameters in database Common Variety name MG (RM) Yield Plant height Maturity Date Location Irri. vs. N-iir. Conv. vs. RR (Planting Date) ….. May be Varied Shattering score Lodging score Protein content Oil content ….. Genetic controlled Flower& Pod Pubescence Disease …..

42. Other Problems Update information? - Variety turn over past - Disease resistance Other Website/Server maintenance - Web submission

43. A Diagram of Soyrus for Soyean Production

44. Thank You ! Question?

45. Field Day – what makes up the lunch?

46. Comparison summary The adaptive zone for one MG is about 3-4 degrees latitude, wider than it was suggested, especially for mid-late MGs (>III) in the south. VI is the latest MG adapted in the US for the optimum yield, and MG VII-VIII are not optimum MGs for the US (if not count FL) Late maturity (VI) soybeans adapted to East coast rather than the Midsouth due to available late precipitation. 00 -

47. Recent Soybean Variety Turn-over Ratio Data source: popular conventional and roundup ready soybean varieties collected by NCST (n=245)

48. Zones and planting date divided for soybean producing states involved in MG map construction RegionLatitudeStates includedPlanting date North> 43 o ND, SD, MN, WI, MI.5/10 – 6/20 Central43 o -36 o NE, IA, KS, MO, IL, IN, OH, PA, WV, VA, NJ, DE, MD, NY. 4/25 – 6/15 South<36 o OK, AR, TX, LA, MS, AL, GA, SC, TN, NC, KY, 4/10 – 6/10

49. Materials and Methods (cont.) Determination of the values of optimum maturity groups - regression method: yield vs. MG - maximum yield weighted average

50. Determination of MG values using regression

51. Calculation of optimum values of MG using weighted yields V mg =  w*x/  w = (w 1 x 1 +w 2 x 2 +…+w 30 x 30 )/ (w 1 +w 2 +…w 30 )  where, w is the weighing fact, the percentage of yield relative to the maximum yield, and x is the value of maturity group. VarietyMG x Yield (bu/A) Weight w (%) 1. H55455.587.1100 2. R9212944.985.998.6 3. A59795.984.897.4 ….…. ….…. ….…. ….…. 28. DP53545.371.381.9 29. DG35765.771.381.9 30. HX5174625.170.881.3