Efficiency of data presentation & utilization in state soybean variety trials

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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. State Soybean Variety Test Procedures. Recommendations. OVT Group Producers Seed company - PowerPoint PPT Presentation

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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

State Soybean Variety Test Procedures

Variety collection

Experimental design

Find locations &cooperators

Preparation PlantingData collection

Harvest

Data analysis

Result Report

Recommendations

OVT Group

Producers Seed company Uni. researcherExtension agent

• Hard copy • Internet

- htm

- pdf

- xls

- database

• Field Day

Report Methods for OVT

Soybeans Variety Test Results in Illinois

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

Data Utilization from OVT

An Internet-base soybean variety trial database for research, extension and production

Deltasoy

Database Modeling

Internet

Information system

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

Entity relationship diagram of parameters in Deltasoy database.

Dependency diagram of parameters in Deltasoy database.

Variety selection interface of Deltasoy

An example of Deltasoy result table

Multi-year => result

Multi-year => single variety)

Deltasoy – Home page

Variety comparison of Deltasoy Database

“Disease info” of Deltasoy Database

Soypheno

“SoyPheno” of Deltasoy Database

SoyPheno - search results & recommendation

A database for national soybean OVT?

Soyrus

Soy-r-us

Who gets benefit from Soyrus?

• Crop grower

• Seed company

• Private consultant

• County agent

• University researcher

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

Modify Soybean MG Adaptation Zones

(Scott and Aldrich, 1970)

Test site distribution of OVT

SDMS

MIIL

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

(Locations selected for creating adaptive zones of soybean MG in the USA)

Map construction

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 )

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

Application of OVT data

Growth stage and maturity prediction at all location?

- Data source – latitude, PD & MD

- Method – modeling (regression, ANN, etc.)

Information links to soybean producing states in the USA

Diagram of 3-layers of back propagation ANN

A sigmoid function and calculation process for one node.

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

Major Problems

Funding- USB ?- Other agents?

Different focuses for each state - Focus on the similarity

Need action- Form a committee

Parameters in database

CommonVariety name

MG (RM)Yield

Plant heightMaturity Date

LocationIrri. vs. N-iir.Conv. vs. RR

(Planting Date)…..

May be VariedShattering scoreLodging scoreProtein content

Oil content…..

Genetic controlled Flower& PodPubescence

Disease …..

Other Problems

Update information?- Variety turn over past- Disease resistance

Other

Website/Server maintenance- Web submission

A Diagram of Soyrus for Soyean Production

Thank You !

Question?

Field Day – what makes up the lunch?

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-

Recent Soybean Variety Turn-over Ratio

0

10

20

30

40

50

60

1-3 y 4-6 y 7-10 y Over 10 y

Data source: popular conventional and roundup ready soybean varieties collected by NCST (n=245)

Zones and planting date divided for soybean producing states involved in MG map construction

Region Latitude States included Planting date

North > 43o ND, SD, MN, WI, MI. 5/10 – 6/20

Central 43o-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

Materials and Methods (cont.)

Determination of the values of optimum maturity groups

- regression method: yield vs. MG

- maximum yield weighted average

Determination of MG values using regression

0

1000

2000

3000

4000

5000

6000

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5

Soybean maturity group

Yie

ld (

kg

ha-1)

Calculation of optimum values of MG using weighted yields

Vmg = w*x/w= (w1x1 +w2x2 +…+w30x30)/

(w1+w2+…w30)

where, w is the weighing fact, the percentage of yield relative to the maximum yield, and x is the value of maturity group.

Variety MGx

Yield (bu/A)

Weight w (%)

1. H5545 5.5 87.1 100

2. R921294 4.9 85.9 98.6

3. A5979 5.9 84.8 97.4

…. …. …. ….

28. DP5354 5.3 71.3 81.9

29. DG3576 5.7 71.3 81.9

30. HX517462 5.1 70.8 81.3

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