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Adapting to Climate Change:
The importance of
conservation of
crop diversity
http://www.theguardian.com/environ
ment/2014/oct/31/ipcc-report-six-
graphs-that-show-how-were-
changing-the-worlds-climate
The Guardian’s 6 graphs
on Climate Change
Source: Battisti, D.S., and R.L. Naylor.
2009. Historical warnings of future
food insecurity with unprecedented
seasonal heat. Science, 323, 240-244.
Luigi’s 6 graphs
(+1 map) on CC and food
Summary of
estimated impacts
of observed climate
changes on yields
over 1960–2013 for
4 major crops in
temperate and
tropical regions.
Source: Page 7 - IPCC. 2014.
“Summary for policymakers - Climate
Change 2014: Impacts, Adaptation,
and Vulnerability. Part A: Global and
Sectoral Aspects.” Contribution of
Working Group II to the Fifth
Assessment Report of the IPCC
Intergovernmental Panel on Climate
Change (IPCC). Available at:
http://www.ipcc.ch/pdf/assessment-
report/ar5/wg2/ar5_wgII_spm_en.pdf
Summary of
projected changes
in crop yields due
to climate change.
Source: Page 18 - IPCC. 2014. “Summary for policymakers -
Climate Change 2014: Impacts, Adaptation, and
Vulnerability. Part A: Global and Sectoral Aspects.”
Contribution of Working Group II to the Fifth Assessment
Report of the IPCC Intergovernmental Panel on Climate
Change (IPCC). Available at:
http://www.ipcc.ch/pdf/assessment-
Lobell et al., 2008. http://www.sciencemag.org/content/319/5863/607
Meeting the Global Food Demand of the Future by Engineering Crop
Photosynthesis and Yield Potential
Long, Marshall-Colon, Xin-Guang Zhu (2016)
http://dx.doi.org/10.1016/j.cell.2015.03.019
Rippke U, Ramirez-Villegas J, Jarvis A, Vermeulen SJ, Parker L, Mer F, Diekkrüger B, Challinor
AJ and Howden M. 2016. Timescales of transformational climate change adaptation in sub-
Saharan African agriculture. Nature Climate Change.
http://agro.biodiver.se/2016/03/transforming-agriculture-in-africa/
Farmers in 60% of
the current African
bean area, and
about 30% of that
of the other crops,
will need to think
about some other
crop at some time
during the 21st
century.
What to do?
No silver bullet!
But don’t panic.
Lots of things that we can do...
technological
innovations to
generate
weather dataForecasting
From satellite to cell
phone
Risk insurance
Rapid payments so
assets are protected
Productive social
safety nets
Build assets, protect
from extremes
That cope with
extremes
Technologies and
practices
ClimateSmartAgriculture
technological
innovations to
generate
weather data
ClimateSmartAgriculture
Creating diversity
of land uses
Changing and
diversifying diets
Crop diversification and “climate-
smart” species and cultivars
On-farm biodiversity,
agroforestry, intercropping
That cope with
extremes
Technologies and
practices
http://www.fao.org/news/story/en/item/344712/icode/
Actually better to make sure
agriculture as a whole is part of
climate change adaptation!
New varieties in farmers’ fields
Breeding
Crop
diversity
Seed systems
Genebanks
Increased yields, resilience etc.
Adaptation to climate change
Food and nutritional security
Indicative activities
• Prioritize species, varieties, breeds and populations
(including useful wild relatives) for conservation on the
basis of climate change expectations...
• Collect information on distribution and frequency of
priority species, crop varieties, animal breeds and
forestry and fish populations...
• Develop and implement crop, animal, tree or fish
species improvement programmes to provide
materials adapted to climate...
• Provide long-term support for evaluation and use of
wild relatives.
• Improve GRFA information systems and access to
them.
Crop Wild Relatives
Svalbard, Norway
78° North, 15°East
a) rice (Oryza sativa); b) Oryza
longistaminata—drought tolerance; c) Oryza
coarctata—tolerance to salinity
d) barley (Hordeum vulgare); e) Hordeum
spontaneum—drought tolerance) f) Hordeum
bulbosum—disease resistance, drought, salt,
and frost tolerance
g) chickpea (Cicer arietinum); h) Cicer
reticulatum—drought and heat tolerance; i)
Cicer echinospermum—drought and heat
tolerance
j) sunflower (Helianthus annuus); k) Helianthus
paradoxus—tolerance to salinity; l) Helianthus
argophyllus—tolerance to drought
Pool Potential Confirmed
Primary 314 268
Secondary 690 531
Tertiary 702 391
1B 18 1
2 31 4
3 26 5
4 27 5
Not in pool 165 204
"Crop Taxa" (Crop itself) 44 22
0
200
400
600
800
1000
1200
1400
Confirmed
Potential
Class Potential Confirmed Total
Abiotic Stress 497 108 605
Agronomic Trait 52 332 384
Biotic Stress 1331 656 1987
Fertility Trait 11 214 225
Morphological Trait 7 12 19
Phenological Trait 12 38 50
Quality Trait 107 72 179 0
500
1000
1500
2000
2500
Confirmed
Potential
Pool Potential Confirmed
Abiotic
Stress
Agronomic
Trait
Biotic
Stress Fertility Trait
Morphological
Trait
Phenological
Trait
Quality
Trait
Primary 314 268 108 83 302 31 7 13 38
Secondary 690 531 264 122 698 62 5 13 57
Tertiary 702 391 164 69 692 95 5 16 53
1B 18 1 0 1 14 0 0 0 4
2 31 4 1 5 27 0 0 1 1
3 26 5 11 1 12 4 0 1 2
4 27 5 8 1 19 3 0 0 1
0
200
400
600
800
1000
1200
1400
Quality Trait
Phenological Trait
Morphological Trait
Fertility Trait
Biotic Stress
Agronomic Trait
Abiotic Stress
Primary
Abiotic Stress
Agronomic Trait
Biotic Stress
Fertility Trait
Morphological Trait
Phenological Trait
Quality Trait
Secondary Abiotic Stress
Agronomic Trait
Biotic Stress
Fertility Trait
Morphological Trait
Phenological Trait
Quality Trait
Tertiary
Abiotic Stress
Agronomic Trait
Biotic Stress
Fertility Trait
Morphological Trait
Phenological Trait
Quality Trait
0
50
100
150
200
250
300
350
400
Quality Trait
Phenological Trait
Morphological Trait
Fertility Trait
Biotic Stress
Agronomic Trait
Abiotic Stress
0
50
100
150
200
250
300
350
400
Confirmed
Potential
Nora Castaneda, pers. comm.
CIAT
CWR in genebanks: How much is enough?
How much is enough?
Density of records Density of seed
collections
Areas where gaps exist
in ex situ collections for
multiple taxa
Determine gaps
in collections
Model
distributions
Gather
taxonomic data
Gather
occurrence
data
Make collecting
recommendations
Georeferencing
Taxonomic
Geographic
Ecological
How much is enough?
Definition of crops and crop wild relative taxa to analyze:
– 81 crop genepools globally important for food security.
– 1079 crop wild relative taxa (GP1 and GP2 + less closely
related taxa with proven and potential uses in breeding)
Vincent, H. et al. Biological Conservation. 167, 265-275 (2013)
Gathering and curating occurrence data
from 420 data sources
– Data quality check
Modelling the distribution of CWR
– MaxEnt: modelling algorithm
• 19 climatic variables
– 5 x 5km resolution
– Native range of each taxa
Measuring 3 gap analysis metrics
– Sampling Representativeness Score
– Geographic Representativeness
Score
– Ecological Representativeness
Score
Identifying collecting and
conservation priorities
Picture credit:
https://scienceasaverb.wordpress.com/2010/10/29/introduction-to-
ecological-niche-modeling-environmental-niche-modeling-species-
http://www.cwrdiversity.org/
Collecting hotspots
Global collecting hotspots for High Priority Taxa, for 76 crop gene pools
Priorities for conservation
0
100
200
300
400
500
600
700
800
900
High priority
taxa for
collection
Mid priority
taxa for
collection
Low priority
taxa for
collection
No further
collection is
required
No.ofCWRtaxa
71%
Broom millet
Finger millet
Quinoa
Rice
Maize
Foxtail millet
Oat
Barley
Foxtail millet
Rye
Wheat
Finger millet
Pearl millet
Rice
Sorghum
Foxtail millet
Pearl millet
Rice
Sorghum
Collecting and using CWR
Adapting Agriculture to Climate Change
• Support from Norwegian Government
• $50 million, 10 years
• 29 crop genepools (Annex 1)
• Started in Jan 2011
• Partnership with Millennium Seed Bank, Kew
• 20-25 national programs
• Capacity building
CWR in situ 1 Research 2 Collecting
4Pre-breeding
New varieties
http://www.cwrdiversity.org/
Crop Wild Relatives
Conservation
Pre-breeding eggplant
http://eggplantprebreeding.upv.es/index.html
Leaf area in some wild species and hybrids is less
affected by drought conditions than in
domesticated types.
0,00
20,00
40,00
60,00
80,00
100,00
120,00
140,00
Mel Ang Mel x Ang Das Mel x Das Ins Mel x Ins Lin Mel x Lic
Leafarea(cm2)
Genotypes
Estimated leaf area
Control
Drought
PEG 7%
* * **
*
https://www.genesys-pgr.org
Benefit Sharing Fund
• 1st call (2009): 5 projects $500K
• 2nd call (2011): 19 projects $5.5M
• 3rd call (2014): $10M
ITPGRFA & Climate Change
http://www.planttreaty.org/content/where-are-we-working
Thank you
Collecting and using CWR
Adapting Agriculture to Climate Change
Luigi Guarino luigi.guarino@croptrust.org
Crop Trust https://www.croptrust.org/
CWR Project http://www.cwrdiversity.org/
Agricultural Biodiversity Weblog http://agro.biodiver.se/
Twitter https://twitter.com/AgroBioDiverse

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Crop diversity and climate change

  • 1. Adapting to Climate Change: The importance of conservation of crop diversity
  • 3. The Guardian’s 6 graphs on Climate Change
  • 4.
  • 5. Source: Battisti, D.S., and R.L. Naylor. 2009. Historical warnings of future food insecurity with unprecedented seasonal heat. Science, 323, 240-244. Luigi’s 6 graphs (+1 map) on CC and food
  • 6. Summary of estimated impacts of observed climate changes on yields over 1960–2013 for 4 major crops in temperate and tropical regions. Source: Page 7 - IPCC. 2014. “Summary for policymakers - Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects.” Contribution of Working Group II to the Fifth Assessment Report of the IPCC Intergovernmental Panel on Climate Change (IPCC). Available at: http://www.ipcc.ch/pdf/assessment- report/ar5/wg2/ar5_wgII_spm_en.pdf
  • 7. Summary of projected changes in crop yields due to climate change. Source: Page 18 - IPCC. 2014. “Summary for policymakers - Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects.” Contribution of Working Group II to the Fifth Assessment Report of the IPCC Intergovernmental Panel on Climate Change (IPCC). Available at: http://www.ipcc.ch/pdf/assessment-
  • 8. Lobell et al., 2008. http://www.sciencemag.org/content/319/5863/607
  • 9. Meeting the Global Food Demand of the Future by Engineering Crop Photosynthesis and Yield Potential Long, Marshall-Colon, Xin-Guang Zhu (2016) http://dx.doi.org/10.1016/j.cell.2015.03.019
  • 10.
  • 11. Rippke U, Ramirez-Villegas J, Jarvis A, Vermeulen SJ, Parker L, Mer F, Diekkrüger B, Challinor AJ and Howden M. 2016. Timescales of transformational climate change adaptation in sub- Saharan African agriculture. Nature Climate Change. http://agro.biodiver.se/2016/03/transforming-agriculture-in-africa/ Farmers in 60% of the current African bean area, and about 30% of that of the other crops, will need to think about some other crop at some time during the 21st century.
  • 12. What to do? No silver bullet! But don’t panic. Lots of things that we can do...
  • 13. technological innovations to generate weather dataForecasting From satellite to cell phone Risk insurance Rapid payments so assets are protected Productive social safety nets Build assets, protect from extremes That cope with extremes Technologies and practices ClimateSmartAgriculture
  • 14. technological innovations to generate weather data ClimateSmartAgriculture Creating diversity of land uses Changing and diversifying diets Crop diversification and “climate- smart” species and cultivars On-farm biodiversity, agroforestry, intercropping That cope with extremes Technologies and practices
  • 15. http://www.fao.org/news/story/en/item/344712/icode/ Actually better to make sure agriculture as a whole is part of climate change adaptation!
  • 16. New varieties in farmers’ fields Breeding Crop diversity Seed systems Genebanks Increased yields, resilience etc. Adaptation to climate change Food and nutritional security
  • 17. Indicative activities • Prioritize species, varieties, breeds and populations (including useful wild relatives) for conservation on the basis of climate change expectations... • Collect information on distribution and frequency of priority species, crop varieties, animal breeds and forestry and fish populations... • Develop and implement crop, animal, tree or fish species improvement programmes to provide materials adapted to climate... • Provide long-term support for evaluation and use of wild relatives. • Improve GRFA information systems and access to them.
  • 18. Crop Wild Relatives Svalbard, Norway 78° North, 15°East a) rice (Oryza sativa); b) Oryza longistaminata—drought tolerance; c) Oryza coarctata—tolerance to salinity d) barley (Hordeum vulgare); e) Hordeum spontaneum—drought tolerance) f) Hordeum bulbosum—disease resistance, drought, salt, and frost tolerance g) chickpea (Cicer arietinum); h) Cicer reticulatum—drought and heat tolerance; i) Cicer echinospermum—drought and heat tolerance j) sunflower (Helianthus annuus); k) Helianthus paradoxus—tolerance to salinity; l) Helianthus argophyllus—tolerance to drought
  • 19. Pool Potential Confirmed Primary 314 268 Secondary 690 531 Tertiary 702 391 1B 18 1 2 31 4 3 26 5 4 27 5 Not in pool 165 204 "Crop Taxa" (Crop itself) 44 22 0 200 400 600 800 1000 1200 1400 Confirmed Potential Class Potential Confirmed Total Abiotic Stress 497 108 605 Agronomic Trait 52 332 384 Biotic Stress 1331 656 1987 Fertility Trait 11 214 225 Morphological Trait 7 12 19 Phenological Trait 12 38 50 Quality Trait 107 72 179 0 500 1000 1500 2000 2500 Confirmed Potential
  • 20. Pool Potential Confirmed Abiotic Stress Agronomic Trait Biotic Stress Fertility Trait Morphological Trait Phenological Trait Quality Trait Primary 314 268 108 83 302 31 7 13 38 Secondary 690 531 264 122 698 62 5 13 57 Tertiary 702 391 164 69 692 95 5 16 53 1B 18 1 0 1 14 0 0 0 4 2 31 4 1 5 27 0 0 1 1 3 26 5 11 1 12 4 0 1 2 4 27 5 8 1 19 3 0 0 1 0 200 400 600 800 1000 1200 1400 Quality Trait Phenological Trait Morphological Trait Fertility Trait Biotic Stress Agronomic Trait Abiotic Stress Primary Abiotic Stress Agronomic Trait Biotic Stress Fertility Trait Morphological Trait Phenological Trait Quality Trait Secondary Abiotic Stress Agronomic Trait Biotic Stress Fertility Trait Morphological Trait Phenological Trait Quality Trait Tertiary Abiotic Stress Agronomic Trait Biotic Stress Fertility Trait Morphological Trait Phenological Trait Quality Trait
  • 21. 0 50 100 150 200 250 300 350 400 Quality Trait Phenological Trait Morphological Trait Fertility Trait Biotic Stress Agronomic Trait Abiotic Stress 0 50 100 150 200 250 300 350 400 Confirmed Potential
  • 22.
  • 24. CIAT
  • 25. CWR in genebanks: How much is enough?
  • 26. How much is enough? Density of records Density of seed collections Areas where gaps exist in ex situ collections for multiple taxa
  • 27. Determine gaps in collections Model distributions Gather taxonomic data Gather occurrence data Make collecting recommendations Georeferencing Taxonomic Geographic Ecological How much is enough?
  • 28. Definition of crops and crop wild relative taxa to analyze: – 81 crop genepools globally important for food security. – 1079 crop wild relative taxa (GP1 and GP2 + less closely related taxa with proven and potential uses in breeding) Vincent, H. et al. Biological Conservation. 167, 265-275 (2013)
  • 29. Gathering and curating occurrence data from 420 data sources – Data quality check
  • 30. Modelling the distribution of CWR – MaxEnt: modelling algorithm • 19 climatic variables – 5 x 5km resolution – Native range of each taxa Measuring 3 gap analysis metrics – Sampling Representativeness Score – Geographic Representativeness Score – Ecological Representativeness Score Identifying collecting and conservation priorities Picture credit: https://scienceasaverb.wordpress.com/2010/10/29/introduction-to- ecological-niche-modeling-environmental-niche-modeling-species-
  • 32. Collecting hotspots Global collecting hotspots for High Priority Taxa, for 76 crop gene pools
  • 33. Priorities for conservation 0 100 200 300 400 500 600 700 800 900 High priority taxa for collection Mid priority taxa for collection Low priority taxa for collection No further collection is required No.ofCWRtaxa 71%
  • 34.
  • 35. Broom millet Finger millet Quinoa Rice Maize Foxtail millet Oat Barley Foxtail millet Rye Wheat Finger millet Pearl millet Rice Sorghum Foxtail millet Pearl millet Rice Sorghum
  • 36.
  • 37. Collecting and using CWR Adapting Agriculture to Climate Change • Support from Norwegian Government • $50 million, 10 years • 29 crop genepools (Annex 1) • Started in Jan 2011 • Partnership with Millennium Seed Bank, Kew • 20-25 national programs • Capacity building
  • 38. CWR in situ 1 Research 2 Collecting 4Pre-breeding New varieties http://www.cwrdiversity.org/
  • 40.
  • 42. Leaf area in some wild species and hybrids is less affected by drought conditions than in domesticated types. 0,00 20,00 40,00 60,00 80,00 100,00 120,00 140,00 Mel Ang Mel x Ang Das Mel x Das Ins Mel x Ins Lin Mel x Lic Leafarea(cm2) Genotypes Estimated leaf area Control Drought PEG 7% * * ** *
  • 44. Benefit Sharing Fund • 1st call (2009): 5 projects $500K • 2nd call (2011): 19 projects $5.5M • 3rd call (2014): $10M ITPGRFA & Climate Change http://www.planttreaty.org/content/where-are-we-working
  • 45. Thank you Collecting and using CWR Adapting Agriculture to Climate Change Luigi Guarino luigi.guarino@croptrust.org Crop Trust https://www.croptrust.org/ CWR Project http://www.cwrdiversity.org/ Agricultural Biodiversity Weblog http://agro.biodiver.se/ Twitter https://twitter.com/AgroBioDiverse

Hinweis der Redaktion

  1. Weather–based agro-advisories reach > 3 million farmers in India Crop insurance covers 30 million farmers in India Climate ready varieties in maize and rice
  2. Weather–based agro-advisories reach > 3 million farmers in India Crop insurance covers 30 million farmers in India Climate ready varieties in maize and rice
  3. Pre-
  4. Pre-breeding agreements for carrots, eggplant, lentils and potatoes.