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Yield Loss Prediction Tool for Field-Specific Risk Management of Asian Soybean Rust. S. Kumudini, J. Omielan, C. Lee, J. Board, D. Hershman and C. Godoy. Southern Region at Particular Risk. - PowerPoint PPT Presentation
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Yield Loss Prediction Tool Yield Loss Prediction Tool for Field-Specific Risk Management for Field-Specific Risk Management of Asian Soybean Rustof Asian Soybean Rust
S. Kumudini, J. Omielan, C. Lee, J. Board, D. S. Kumudini, J. Omielan, C. Lee, J. Board, D. Hershman and C. GodoyHershman and C. Godoy
Southern Region at Particular RiskSouthern Region at Particular Risk
Fig. 1. Probability of at least 15 consecutive days of suitable conditions for P. pachyrhizi infection between July 1 and Sept 30. Hatched areas indicate major or minor soybean production areas. Source: R. Magarey, USDA/NCSU
Image Source: http://www.farmassist.com/soybeanrust/Navigation.aspx?nav=probability.html
The ProblemThe Problem Soybean rust may require one or more fungicide
applications each season $10-$35/acre per application Not using a fungicide may result in severe yield
loss Use of multiple fungicide applications may
result in a net economic loss
Soybean Rust Arrived Late in 2005Soybean Rust Arrived Late in 2005
http://www.sbrusa.net/
Fig. 2. Soybean canopy at various stages of reproductive development. Note the different levels of natural leaf defoliation that occurs as the crop reaches maturity.
Impact of Soybean Rust on yield is dependent on Growth Stage
Central Question?
If soybean rust comes late, what field and economic situations justify a fungicide application?
ObjectiveObjective
To develop a yield loss prediction model for Soybean Rust damage: specific to maturity group, and growth stage.
Yield loss prediction modelYield loss prediction model Current thinking: soybean rust causes yield loss
due to crop defoliation
Prototype model uses hail damage data: Model yield loss based on % defoliation (see our
prototype).
More accurate estimates of yield loss are based on leaf area remaining % defoliation is less accurate
(see Board et al., 1994, 1997; Browde et al., 1994; Board, 2004)
MethodologyMethodology
I. Check assumption: Is yield loss due to defoliation alone (Londrina, Brazil)?
II. Model building: Determine relationship between remaining leaf area and yield potential (across maturity groups and at different growth stages - studies in Louisiana and Kentucky).
III. Software development: Develop software which will use producer-specified information to calculate current potential yield and potential yield loss due to SBR.
Experiment Station: Embrapa soja, Experiment Station: Embrapa soja, Londrina, BrazilLondrina, Brazil
Progress in Brazil. Progress in Brazil. I. Check assumption - Is yield loss due to defoliation alone
Cultivar is BRS 154 (MG VII) Rows 45 cm (~18 inches)Planted 20 December, 2006
Progress in Brazil. Progress in Brazil. I. Check assumption - Is yield loss due to defoliation alone
Disease severity monitored during the growing season using the scale below
Progress in Brazil. Progress in Brazil. I. Check assumption - Is yield loss due to defoliation alone
Images taken 15 March 2006 by Dr. C. Godoy. Plots in frame A show see significant leaf loss due to ASR, B) Fungicide treated plots were manually defoliated weekly such that we see similar leaf area in plots that were naturally defoliated by ASR (image A) as well as those that were manually defoliated to simulate the defoliation impact of ASR (image B).
A)A) B)B)
Progress in USA. II. Model building - Determine relationship between remaining leaf area and yield potential
Model development dependent on work in KY and LA
Field plans still in the process of modification at both Lexington, KY and Baton Rouge, LA
Potential to validate data in other southern states with incidences of SBR. Collaborator in Clemson University
Progress in USA (KY). III. Software development - Develop software which calculates current potential yield and potential yield loss due to SBR.
Website established. Explains project objectives and gives on-going project developments: http://www.uky.edu/Ag/Agronomy/Department/sbr/index.htm