B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
Pardey et al -turkey bgri stripe rust (4-28-2014)
1. The Global Occurrence and Economic
Consequences of Stripe Rust in Wheat
Philip Pardey, Yuan Chai, Jason Beddow,
Terry Hurley, Darren Kriticos and Hans Joachim-Braun
University of Minnesota, CSIRO, and CIMMYT
Second International Wheat Stripe Rust Symposium
Regional Cereal Rust Research Center, Izmir, Turkey
April 28, 2014
2. Stripe Rust: Bio-economic cum Policy Questions
What is the global extent of this disease?
• Where is it likely to occur and persist?
What share of global wheat area and production is susceptible to
the disease?
What is the likely global losses in wheat production associated
with this disease?
What are the global research investment implications of this
disease?
3. Losses Attributed to Wheat Rust
Will Stem Rust Destroy the World’s Wheat Crop?
“…it is unlikely that stem rust race Ug99 or its descendants will destroy the world’s wheat
crop”
Singh et al. (2008, p.305)
“This *stem rust+ is a time bomb…Ug99 is going to lie there, and then all of the sudden its
going to go boom.”
Quote attributed to Borlaug (Science 2009, p. 721.)
Implied losses in 2009/10 attributed to wheat stem rust: 43.2 to 302.4 MMT
Fisher et al. (Nature 2012, Table s1)
“*Stripe rust+ losses can be severe (50%) due to shriveled grain and damaged tillers. In
extreme situations, stripe rust can cause 100% losses.”
Roelfs et al. (CIMMYT 2002, p.2)
4. Stem Rust – Global Assessment Summary
Climate suitability
of stem rust
Suitable
Persists
Reported Occurrence
5. Source: Pardey et al. (2013) from USDA (various years)
Average 2.5% per year
Stem Rust – Global Assessment Summary
Stochastic Structure of U.S. Losses Attributed to Stem Rust
Average 0.29% per year
6. Stem Rust – Global Assessment Summary
Climate suitability
of stem rust
Suitable
Persists
A sustained investment of $51.1 million
per year (2010 prices) in stem rust
research could be justified economically
7. Historical and Current Stripe Rust Threats
• Historically, stripe rust has mainly been
endemic only in cool climate regions
• In recent decades, stripe rust has spread
rapidly to areas previously unaffected
Before 2000 After 2000
0 Not recorded, or no response
1 Rare
2 Localized in some seasons
3 Localized in most seasons
4 Widespread in some seasons
5 Widespread in most seasons
N = 29
17. Observed and Modeled Occurrence of Stripe Rust
Area Production
Region Suitable Persists Suitable Persists
(percent)
North America 59.9 16.9 63.1 18.6
sub-Saharan Africa 82.6 81.2 83.0 82.0
LAC 85.0 83.0 89.7 88.5
Asia 59.1 32.9 69.4 39.2
FSU 66.2 9.7 78.9 15.7
Australasia 53.3 45.9 55.6 48.0
World 72.0 42.0 79.4 51.2
18. Stochastic Structure of U.S. Losses Attributed to Stripe Rust
The changing structure of stripe rust epidemics
1961-1984: significant yield losses
1985-1999: use of resistant cultivars and fungicide
Since 2000: new stripe rust pathotypes
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5 1961
1964
1967
1970
1973
1976
1979
1982
1985
1988
1991
1994
1997
2000
2003
2006
2009
2012
PercentLoss
Average 0.54% per year
Average 0.15% per year
Average 1.5% per year
19. Global Stripe Rust Losses Estimates
Reference
Period
Counterfactual
Loss
Average annual losses
(million metric tons)
Value of the annual losses
(million U.S. $ per year)*
1961-84 none 1.04 $186
1985-99 none 0.53 $95
2000-12 none 5.77 $1,032
Reference
Period
Counterfactual
Period
Losses Averted
(million metric tons)
Value of the benefits
(million U.S. $ per year)*
1961-84 1985-99 0.74 $132
1985-99 1985-99 0 0
2000-12 1985-99 5.15 $922
* 2010 average US wheat prices
No Loss Counterfactual
Low Loss (1985-1999) Counterfactual
20. Approach
Estimate of annual investments to avert projected losses (costs) attributable to
stripe rust through to 2048
Ninety five percent chance of realizing a modified internal rate of return of at
least 10 percent per year
Economically Justified R&D Spending (2010 prices)
$36.8 million per year, or 17.1 cents per hectare (with a no loss counterfactual)
$32.9 million per year, or 15.3 cents per hectare (with a low loss counterfactual)
Comparative (Stem rust) Information
• Economically justified investment in stem rust was $51.1 million per year
• U.S. wheat farmers spent $15.75 per hectare on seed
Economically Justifiable R&D Investment
21. Summing Up
Earlier assessment suggests that around $50 million per year on average be
invested in research to avert prospective global losses from stem rust, double
what is being spent of late
Evidence suggests a change in the spatial pattern and magnitude of wheat
yield losses attributable to stripe rust
• Around 72 percent of the world’s wheat area is susceptible to this disease
Beta assessment suggests that around $35 million per year (about two-thirds
the corresponding stem rust research investment) be spent to alleviate global
losses from stripe rust, substantially more than would have been justified
several decades ago
In their Supplementary Information, Table 1, Fisher et al. (2012) report that 432 MMT of wheat was used for food in 2009/2010 and that a potential 10-70 percent (43.2 to 302.4 MMT) of this production could be lost to P. graminis. Based on these values and the 2009 average U.S. price for all wheat of $4.85 per bushel (USDA-NASS 2010), we calculate the potential value of global losses under the Fisher et al. (2012) scenarios to be between $7.7 billion and $63.8 billion. Source: (Mathew Fisher, Imperial College). Spoke of stem rust as an Emerging Infectious Disease and of persistent and epidemic outbreaks of fungal infections in wheat, e.g., stem rust -- Authors calculation based on Fisher, M.C., D.A. Henk, C.J. Briggs, J.S. Brownstein, L.C. Madoff, S.L. McCraw and S.J. Gurr (2012). Emerging fungal threats to animal, plant and ecosystem health. Nature 484: 186-194 and USDA, National Agricultural Statistics Service (2010). Crop Values 2009 Summary. Washington, D.C.: U.S. Department of Agriculture, NASS.Global wheat production in 2012 = 671 million metric tons
CLIMEX is an ecological niche model, describing how the modelled organism reacts to climatic variables at the population level. It uses these response functions to estimate the suitability of the environment at each location for which there is information. It is distinct from correlative and geostatistical Species Distribution Models, which seek to describe the environment where the species has been observed. Hence, CLIMEX models describe the estimated potential distribution of the organism, and can distinguish between those areas that are suitable for year-round persistence, from those areas that are only suitable for population growth during favourable seasons. Where a CLIMEX model can indicate climatic suitability for a pest conditional on the presence of a host crop, a correlative model will tend to confound these issues. CLIMEX modelling can take advantage of a range of different data sources in addition to geocoded observation record (eg phenology and direct experimental observations). Using these different knowledge domains often reveals substantial geocoding errors in the geocoded observation records. This same process can also reveal interpretative differences between observation records, distinguishing between persistent and casual populations. The ICARDA style models have great difficulty transferring to novel situations (new continents, future climate scenarios, etc).
First period 1918-1960, average loss is 2.5 percent per yearFirst period 1961-2010, average loss is 0.29 percent per year (17years with no reported loss)For the entire period 1918-2010, average loss is 1.34 percent per year
CLIMEX is an ecological niche model, describing how the modelled organism reacts to climatic variables at the population level. It uses these response functions to estimate the suitability of the environment at each location for which there is information. It is distinct from correlative and geostatistical Species Distribution Models, which seek to describe the environment where the species has been observed. Hence, CLIMEX models describe the estimated potential distribution of the organism, and can distinguish between those areas that are suitable for year-round persistence, from those areas that are only suitable for population growth during favourable seasons. Where a CLIMEX model can indicate climatic suitability for a pest conditional on the presence of a host crop, a correlative model will tend to confound these issues. CLIMEX modelling can take advantage of a range of different data sources in addition to geocoded observation record (eg phenology and direct experimental observations). Using these different knowledge domains often reveals substantial geocoding errors in the geocoded observation records. This same process can also reveal interpretative differences between observation records, distinguishing between persistent and casual populations. The ICARDA style models have great difficulty transferring to novel situations (new continents, future climate scenarios, etc).
Survey instigated at the Delhi BGRI meeting in August 2013
The (red) US points are USDA-CDL “observed” data by county for 2007-2012, mapped to the county centroid. The non-US points (blue) are from Dave’s BGRI data and include low, moderate and high severity (excludes nulls and negative observations). These are observations for 2007-2014.
To get EI we model Dry stress, Heat stress, Cold stress and Hot-Wet Stress
This is the CLIMEX suitability layer at 10’ resolution, mashed up using SPAM 2005 (beta). The CX value for a pixel is the irrigated value (2.5mm topup winter only) if any wheat in that pixel is irrigated, otherwise it’s the rainfed value. The EI cutoff is >= 1 and the GI cutoff is >= 10.
These are USDA-CDL “observed” data by county for 2007-2012, mapped to the county centroid. From: prvs=152dfb7c9=Darren.Kriticos@csiro.au [mailto:prvs=152dfb7c9=Darren.Kriticos@csiro.au] On Behalf Of Darren.Kriticos@csiro.auSent: Sunday, March 23, 2014 2:39 AMTo: chaix026@umn.eduCc: ppardey@umn.edu; beddow@umn.eduSubject: RE: P striiformis Hi Yuan,Sorry, I don’t buy all the details of Chen fig 3. Some of the circulation movements agree with the Puccinia pathway, but some of it seems elaborated to fit the hypothesis but without a suitable understanding of the climate geography. CheersDarren
The non-US points are from Dave’s BGRI data and include low, moderate and high severity (excludes nulls and negative observations). These are observations for 2007-2014.Most of the points outside the range in India are low severity, some moderate (a few high)
Average loss for the 1961-2012 period is 0.64 percent per year
Global wheat production in 2012 = 671 million metric tonsSimulated annual losses from 2000-2048