CWR global and US presentation Wag 2011
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Transcript of CWR global and US presentation Wag 2011
The ecogeographic distribution of crop wild relatives: implications for
conservation and useInitial Steps
Colin Khoury [email protected] [email protected]
Feeding the Future
Source: Dery P. and Anderson B. 2007. Peak Phosphorus. Available online at http://www.theoildrum.com/node/2882
Source: Battisti, D.S., 2009. personal communication
Distributions of average (summer) temperature for 20th century (blue), and climate model projections for 2080-2100 (red) (y=number of
summers, x=departure from long-term 20th century mean)
Predicted changes in total production (per cent) in SSA from climate change in 2046–2065 relative to 1961–2000. The median predicted impact is shown as solid line, while the box shows the 25–75 percentile range. Whiskers extend to the 5 and 95 percentile
Source: Schlenker W and Lobell D. B. 2010. Robust negative impacts of climate change on African agriculture. Environmental Research Letters 5, no. 1: 014010.
Feeding the Future
How can the world produce more food, under more challenging conditions, with less energy, on at most the same amount of land, in a more ecologically sustainable manner?
The Challenge
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EAP
Develope
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MENA
LAC SS
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Untitled 1 Yield Improvement Area Change
Sources of Cereal Production Growth (2000-2050)
EAP: East Asia and the Pacific; MENA: Middle East and North Africa; LAC: Latin America and the Caribbean; SSA: Sub-Saharan Africa
Source: Hubert et al. 2010. The Future of Food: Scenarios for 2050. Crop Sci 50.
CWR of Rice
Source: Brar D.S. (2010). What are the main bottlenecks to the use of CWR in breeding? How can they be overcome? Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010.
The Evolution of Wheat
Source: Payne T and Braun H (2010) Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010. Data from Evolution of Wheat, Wheat Genetics Resource Center, KSU.
Source: McCouch S (2010) Is there convincing evidence that we are more likely to find traits for dealing with climate change in crop wild relatives (CWR) than in the cultivated gene pool? Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010. Data from Tanksley and McCouch (1997) Science 277.
CWR and Genetic Diversity
Musa acuminata- black sigatoka resistance
Manihot glaziovii- cassava mosaic disease
(CMD) resistanceAegilops tauschii- hessian fly resistance
Source: Okogbenin E (2010) The Use and Challenges of CWR in Breeding. Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010.
Pest and Disease Resistance from CWR
Source: Brar D.S. (2010). What are the main bottlenecks to the use of CWR in breeding? How can they be overcome? Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010.
Disease Resistance from CWR of Rice
tungro virus tolerant
Source: Okogbenin E (2010) The Use and Challenges of CWR in Breeding. Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010. Data from Tanksley and McCouch (1997) Science 277.
Don’t Judge a Book by its Cover!
(a) Lycopersicon hirsutum, a wild species that does not turn red upon ripening.
(b) Left- fruit of a modern processing tomato cultivar. Right- fruit from a breeding line in
which a QTL for increased pigment has been transferred from L. hirsutum
(c) Top left- wild tomato L. pimpinellifolium. Top right- fruit of a modern processing
tomato cultivar. Bottom- fruit of a backcrossed breeding line of the modern
processing tomato, with QTL for increased fruit size from L. pimpinellifolium
Source: Valls J F M (2010) What specific changes in the current way genebanks and breeders to business and interact will be necessary to increase use of Crop Wild Relatives? Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010. Photo adapted from Tollefson J (2010) Nature 466: 554-556.
2055
Source: Jarvis, A., Ferguson, M., Williams, D., Guarino, L., Jones, P., Stalker, H., Valls, J., Pittman, R., Simpson, C. & Bramel, P. 2003. Biogeography of Wild Arachis: Assessing Conservation Status and Setting Future Priorities. Crop Science 43, 1100-1108.
Threats to CWR In Situ
Impacts of Climate Change on Crop Wild Relatives
Arachis species Change in area of distribution (%)
Predicted state in 2055
batizocoi -100 Extinctcardenasii -100 Extinctcorrentina -100 Extinctdecora -100 Extinctdiogoi -100 Extinctduranensis -91 Threatenedglandulifera -17 Stablehelodes -100 Extincthoehnii -100 Extinctkempff-mercadoi -69 Near-Threatenedkuhlmannii -100 Extinctmagna -100 Extinctmicrosperma -100 Extinctpalustris -100 Extinctpraecox -100 Extinctstenosperma -86 Threatenedvillosa -51 Near-Threatened
Arachis (peanut, groundnut)- wild species distributions
Source: Jarvis, A., Ferguson, M., Williams, D., Guarino, L., Jones, P., Stalker, H., Valls, J., Pittman, R., Simpson, C. & Bramel, P. 2003. Biogeography of Wild Arachis: Assessing Conservation Status and Setting Future Priorities. Crop Science 43, 1100-1108.
Impacts of Climate Change on Crop Wild Relatives
Jarvis et al. (2008) By 2055, 16-‐22% of Arachis, Solanum and Vigna CWR will be exCnct
Thuiller (2005)-‐ By 2080, 50% of 1350 studied plant species would be vulnerable or threatened by climate change
Liva et al (2009). By 2060, 40 of 69 protected areas would no longer have the right climate to support currently exisCng populaCons of all 8 Mexican
cucurbit CWR
represented (>10 accessions)28%
under or unrepresented72%
Gaps in the Ex Situ Conservation of CWR
Of est. 260,000 total accessions,4,453 wild accessions
Accessions Species
Of 85 taxa in Phaseolus, 35 not represented in genebanks and26 have <10 accessions
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497; FAO WIEWS 2009
cultivated98%
wild2%
Biodiversity Conservation
Agricultural Development
Climate Change Adaptation
Food Security
Adapting Agriculture to Climate ChangeCollecting, Protecting and Preparing Crop Wild Relatives
Project Timeline
Crop TaxaAlfalfa (Medicago) 13Apple 12Bambara Groundnut 27Banana 31Barley 2Bean (Phaseolus) 37Carrot 27Chickpea 4Cowpea 12Eggplant 32Faba Bean 1Finger Millet 4Grasspea 12Lentil 4Oat 12Pea 9Pearl Millet 4Pigeon Pea 8Potato 83Rice 19Rye 4Sorghum 5Sunflower 11Sweet Potato 14Vetch 9Wheat 55 Total 451
AlfalfaApple
Bambara Groundnut
Banana
Barley
Bean
Chickpea
Cowpea
Eggplant
Faba Bean
Finger Millet
Grasspea
Lentil
Oat
Pea
Pearl Millet
Pigeon Pea
Potato
Rice
Rye Sorghum
Sunflower
Sweet Potato
Vetch
Wheat
Priority Genepools and Taxa
Analyze State of Ex Situ
Conservation
Produce taxon database
Perform gap analysis
Produce collecting guides
Prioritize collecting sites
Collect
Coordinate with national partners and experts
CWR Research Methodology
Pilot Pre-breeding and Evaluation
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497
Research: Gap Analysis
Collecting Guides
Source: Smith P. (2010). Prioritizing crop wild relatives for collection, long term storage and use. Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010.
Research: State of Ex Situ Conservation of CWR in Genebanks
Source: Smith P. (2010). Prioritizing crop wild relatives for collection, long term storage and use. Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010.
Collecting
Source: Smith P. (2010). Prioritizing crop wild relatives for collection, long term storage and use. Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010.
Trust and Kew MSB Partnerships
Photos: ICRISAT 2009; IRRI 2009; Mari Tefre; Global Crop Diversity Trust
Conservation
Groundnut Breeding with CWR
Source: Valls J F M (2010) What specific changes in the current way genebanks and breeders to business and interact will be necessary to increase use of Crop Wild Relatives? Presentation for ‘Adapting Agriculture to Climate Change: The Need for Crop Wild Relatives’, Bellagio, 7-9 September 2010. Photo adapted from Tollefson J (2010) Nature 466: 554-556.
Determine appropriate genomics toolsDetermine genetic diversity (Genotyping)
Use other data as well
Figure out what diversity is presentChoose maximum diversity set for
breedingIn select cases, pick accessions with
known genes of interest
Pick the most diversity
Cross, cross, crossBreed CWR set with appropriate
modern varietiesBackcross to head toward modern
varieties
Evaluate crosses for traits of interest (Phenotyping), specifically for climate change (i.e. heat tolerance, drought
tolerance, salt tolerance, etc.)
Figure out if its good
Make it availableRelease to breeding programs
integrate in information systems
CWR Pre-Breeding and Evaluation
"It's a bit like crossing a house cat with a wildcat...You don't automatically get a big docile pussycat. What you get is a lot of
wildness that you probably don't want Iying on your sofa."
Source: Rhoades, Robert E. “The World’s Food Supply at Risk,” National Geographic (April 1991), 74-105.
Source: http://www.genesys-pgr.org/.
Information Systems
Priority Crops and GenepoolsAgropyron Colocasia Ipomoea Pistacia
Allium Corylus Isatis Pisum (incl. Vavilovia)
Ananas Crambe Juglans Prunus
Arachis Cucumis Lablab Pyrus
Armoracia Cucurbita Lactuca Raphanus (incl. Raphanobrassica)
Artocarpus Cynara Lathyrus Ribes
Asparagus Daucus Lens Rorippa
Avena Digitaria Lepidium Saccarhum
Barbarea Dioscorea Lupinus Secale
Bertholletia Diplotaxis Malus Sesamum
Beta Echinochloa Mangifera Setaria
Brassica Elaeis Manihot Sinapis
Cajanus Elettaria Medicago Solanum (incl. Lycopersicon)
Camellia Eleusine Musa (incl. Ensete) Sorghum
Capsicum Elymus Olea Spinacia
Carica Eruca Oryza Theobroma
Carthamnus Ficus Panicum Triticum (incl. Triticosecale, Aegilops, others)
Chenopodium Fragaria (incl. as Potentilla) Pennisetum Vicia
Cicer Glycine Persea Vigna
Citrullus Gossypium Phaseolus Vitellaria
Citrus (incl. Fortunella and Poncirus) Helianthus Phoenix Vitis
Cocos Hordeum Pimenta Xanthosoma
Coffea Ilex Piper Zea (incl. Tripsacum)
https://nacms.co.uk/croptrust/
Research: Gap Analysis
Determine gaps in collections
Model distributions
Gather taxonomic data
Gather occurrence data
Make collecting recommendations
Georeferencing
Source: concept and images from Jarvis et al. 2009. Value of a Coordinate: geographic analysis of agricultural biodiversity. Presentation for Biodiversity Information Standards (TDWG), November 2009.
Occurrence data sources
GBIF- 44.7 million plant occurrences
Data quality- 840,449 (88.5%) out of 950,000 records good quality
Occurrence data sources
But there are gaps
Source: Castaneda N (2011)
Occurrence data sources
• Online data- eg GBIF, Genesys
• Directly from researchers- eg Phaseolus, Solanum, Oryza
• Herbarium and genebank databases
• Published literature
• Herbarium visits- more than 15,000 photos taken at NY, PH, US, MO, CAS, UC, WAG. Still gathering data from Kew, BM, E, P, Leiden, Portugal, Spain, others
Taxon occurrence database will eventually contain ca. 3 million geo-referenced records
Data gaps- China, India, South-east Asia, Central Asia
Geo-referencing
Gap analysis
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497;
Gap analysis- different gaps
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497;
Gap analysis- gross representation
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497;
Gap analysis- modeling distributions
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497;
Gap analysis- geographic gaps
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497;
Gap analysis- climatic gaps
Species Sampling (%) Coverage (%) Distribution (%) Outlier (%) Rarity Score
albiviolaceus 0.0 N/A N/A N/A N/A 0.00 amabilis 0.0 N/A N/A N/A N/A 0.00 chacoensis 0.0 N/A N/A N/A N/A 0.00 diversifolius 0.0 N/A N/A N/A N/A 0.00 elongatus 0.0 N/A N/A N/A N/A 0.00 fraternus 0.0 N/A N/A N/A N/A 0.00 laxiflorus 0.0 N/A N/A N/A N/A 0.00 micranthus 10.0 N/A N/A N/A N/A 0.00 mollis 0.0 N/A N/A N/A N/A 0.00 nitensis 0.0 N/A N/A N/A N/A 0.00 opacus 0.0 N/A N/A N/A N/A 0.00 pachycarpus 0.0 N/A N/A N/A N/A 0.00 texensis 10.0 N/A N/A N/A N/A 0.00 trifidus 0.0 N/A N/A N/A N/A 0.00 xolocotzii 0.0 N/A N/A N/A N/A 0.00 anisophyllus 0.0 N/A N/A N/A N/A 0.00 oaxa canus 0.0 N/A N/A N/A N/A 0.00 pauper 0.0 N/A N/A N/A N/A 0.00 plagiocylix 0.0 N/A N/A N/A N/A 0.00 rosei 0.0 N/A N/A N/A N/A 0.00 sonorensis 0.0 N/A N/A N/A N/A 0.00 falciformis 0.0 N/A N/A N/A N/A 0.00 marechalii 6.7 N/A N/A N/A N/A 0.00 rotundatu s 6.7 N/A N/A N/A N/A 0.00 salicifolius 3.3 N/A N/A N/A N/A 0.00 altimontanus 7.5 N/A N/A N/A N/A 0.00 esquincensis 0.0 N/A N/A N/A N/A 0.00 novoleonensis 5.0 N/A N/A N/A N/A 0.00 tenellus 0.0 N/A N/A N/A N/A 0.00 albiflorus 10.0 N/A N/A N/A N/A 0.00 macrolepis 8.0 N/A N/A N/A N/A 0.00 reticulatus 2.0 N/A N/A N/A N/A 0.00 jaliscanus 1.7 N/A N/A N/A N/A 0.00 macvaughii 3.3 N/A N/A N/A N/A 0.00 magnilobatus 3.3 N/A N/A N/A N/A 0.00 venosus 0.0 N/A N/A N/A N/A 0.00 carteri 7.1 N/A N/A N/A N/A 0.00 formosus 0.0 N/A N/A N/A N/A 0.00 polymorphus 2.9 N/A N/A N/A N/A 0.00 esperanzae 8.8 N/A N/A N/A N/A 0.00 perplexus 1.3 N/A N/A N/A N/A 0.00 polystachios 0.1 0.1 0.0 0.0 8.3 0.45 amblyosepalus 0.0 0.0 0.0 N/A 10.0 1.00 nelsonii 0.0 0.0 0.0 N/A 10. 0 1.00 pluriflorus 1.4 1.3 2.5 N/A 10.0 2.56 pedicellatus 0.9 2.7 3.3 0.0 9.5 2.56 angustissimus 0.5 1.2 6.7 0.6 6.1 2.83 grayanus 5.2 2.0 4.0 0.0 7.5 3.72 parvulus 1.3 5.0 5.0 0.0 8.6 3.82 tuerckheimii 1.5 10.0 0.0 0.0 8.2 3.86 pauciflorus 0.2 4.0 6.7 N/A 10.0 4.27 lunatus 3.9 3.3 5.6 3.9 8.9 4.47
parvifolius 4.5 2.2 5.0 N/A 10.0 4.50 filiformis 1.6 5.6 6.7 0.0 9.9 4.66 maculatus 2.2 4.4 8.0 1.0 9.1 4.89 talamancensis 1.1 10.0 4.0 2.0 7.1 4.97 leptostachyus 2.9 6.5 6.7 0.0 9.9 5.32 glabellus 5.3 6.0 4.0 N/A 10.0 5.60 pachyrrhizoides 8.8 6.5 2.9 0.0 6.7 5.77 costaricensis 2.3 10.0 6.0 1.1 8.0 5.96 coccineus 4.8 8.1 5.7 0.0 9.7 6.06 oligospermus 3.4 10.0 5.0 10.0 9.5 6.51 hintonii 7.7 4.3 7.5 N/A 10.0 6.86 microcarpus 5.9 8.6 6.7 0.0 9.8 6.86 acutifolius 6.4 8.3 8.0 0.0 9.9 7.30 augusti 7.4 10.0 4.3 10.0 9.5 7.49 neglectus 5.3 10.0 6.7 N/A 10.0 7.60 vulgaris 8.7 9.9 5.4 3.8 7.4 7.76 dumosus 5.3 10.0 8.6 6.0 8.8 7.89 xanthotrichus 8.4 10.0 5.7 10.0 9.0 8.19 chiapasanus 9.0 9.5 7.5 N/A 10.0 8.80 zimapanensis 8.8 10.0 10.0 N/A 10.0 9.63
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497;
Gap analysis- results
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497; FAO WIEWS 2009
Gap analysis- results
Source: Ramírez-Villegas J, Khoury C, Jarvis A, Debouck DG, and Guarino L (2010). A Gap Analysis Methodology for Collecting Crop Genepools: a Case Study with Phaseolus Bean. PLoS ONE 5(10): e13497. doi:10.1371/journal.pone.0013497; FAO WIEWS 2009
Gap analysis- validating results
man versus the machine
Source: Jarvis A. 2009.
Gap analysis- results for African Vigna
complementarity analysis
Gap analysis- results for wild tomatoes
Source: Castaneda N (2011)
Source: Jarvis A., Ramirez J. 2009. personal communication
Gap analysis- results for 12 genepools
Source: Jarvis et al. 2009. Value of a Coordinate: geographic analysis of agricultural biodiversity. Presentation for Biodiversity Information Standards (TDWG), November 2009.
http://gisweb.ciat.cgiar.org/GapAnalysis/
Gap Analysis Website
the future- automated, iterative results
Predicted change in taxon richness in 2050
Low evidence of potential traits for adapting wheat crops to climate change
CWR of millet have unique climatic adaptations potentially relevant for crop improvement
Will we find what we are looking for?
Low but statistically significant correlation between pairwise difference in climate and morphological, agronomical and molecular traits
Climate at collection point could also be a rapid means of screening for diversity in a collection
Will we find what we are looking for?
Toward a US National Strategy for the Conservation of Crop Wild Relatives
Strategy Flowchart
National Inventory
• Inventory includes a wide range of utilized and potentially useful taxa, including both native and naturalized taxa occurring in the US
o Taxa directly used for food, fiber, forage, medicine, ornamental, and restoration purposes
o CWR taxa
• Inventory currently lists over 3,000 taxa
Taxonomic Priorities- what taxa are likely to be most useful?
• A rational, effective strategy requires prioritization of taxa based upon their potential use value in contributing to breeding and therefore to crop production.
• This focuses the priorities on those genepools of major crops with active breeding programs
• Primary focus on food crops, but also forage, medicinal, ornamental, etc.
• Gather data on major crops globally (FAOSTAT, published literature, ITPGRFA)
• Prioritize the list (Priority 1, Priority 2)
• Identify genera in genepools of priority crops
• Results: 242 World’s Top Crops (268 genera)
o 101 crops (119 genera) in Priority 1
o 141 crops (149 genera) in Priority 2
• This list includes all the most important agricultural crops around the world by a number of measures, and covers all crops listed in FAOSTAT for US production and food supply, with virtually all
• Apply World’s Top Crops list to the national inventory and to GRIN taxonomy to derive a priority list of CWR occurring in the US
• Review inventory and add a few additional genepools to priorities- brome (Bromus), Cuphea, groundcherry (Physalis), St. John’s Wort (Hypericum), liquorice (Glycyrrhiza), pitanga (Eugenia), and Echinacea to Priority 2 CWR
• sugar maple (Acer saccharum), wild rice (Zizania spp.), medicinal species of Echinacea, pine nut species of Pinus, pecan (Carya illinoinensis, jojoba (Simmondsia chinensis) and the alcohol/sugar taxa of Agave- utilized taxa were added to Priority 1, as iconic wild species crops occurring in the US
Priorities for the US
• 2,014 taxa of 159 priority genera occur in the US
o 905 taxa of 74 Priority 1 genera
o 1,108 taxa of 85 Priority 2 genera.
• Important crops with rich native genepools include Allium (onion), Cucurbita (squash), Fragaria (strawberry), Helianthus (sunflower), Ipomoea (sweet potato), Lactuca (lettuce), Phaseolus (bean), Prunus (cherry, almond, peach), Ribes (currant), Rubus (raspberry), Saccharum (sugar cane), Vaccinium (blueberry, cranberry), and Vitis (grape), among others.
Priorities for the US
• National Strategy will focus on Priority 1 genepools. This focus includes the richest genepools of native diversity occurring in the US that have the potential to contribute to crop improvement, and also attempts to cover the major wild species directly utilized for food or medicine.
• Closely related taxa (generally GP1/2), plus any additional taxa known to be of use to crop breeding, will be subjected to a full gap analysis for identification of collecting priorities, and for in situ conservation considerations.
• Given these parameters, the major effort will focus on ca. 250-300 taxa.
• Distantly related taxa (GP3)- a superficial gap analysis will identify taxa not conserved ex situ by at least a few populations, and prioritize these for additional collecting. Generally no in situ analysis for Genepool 3 taxa.
• Non-native populations of taxa will generally not be considered within the analysis, aside from particular populations of interest to the breeding community. Any taxa identified as rare or threatened will be given particular attention in conservation recommendations.
Priorities for the US
• Expert revision of priority genepools- inputs requested for forming a final list of the priority crop genepools to be researched, deadline end November.
• http://cwroftheus.wordpress.com/
Next Steps
Research DirectionsPrioritizing CWR populations for conservation and use, based on potential use valueAre CWR potentially useful for adaptation to climate change? Who, Where, how and why?
Ecogeographic characterization of taxa through GIS- how can GIS complement morphological and molecular data in discerning closely related CWR?
How robust are genetic reserves in protected areas (in situ conservation) under projected climate change?
What are the global patterns of distribution of richness of CWR? Why are they distributed as they are? How well is that richness conserved ex situ? What are the constraints to filling the gaps?
How well conserved are crop genepools with an emphasis on use value?
What can the global patterns of CWR diversity tell us about why certain related plants were domesticated, and not others? What does these patterns tell us about the domestication process and history of domestication?
What are the differences between different crop genepools in population biology that should be taken into consideration with the question of adequate conservation of the genetic diversity within the genepool?
How does the distribution of the CWR of the world’s major crops create interdependence in agriculture and breeding?
Centers of Origin of Selected Crops
Source: adapted from Flores Palacios F. 1998. Contribution to the Estimation of Countries’ Interdependence in the Area of Plant Genetic Resources. Rep. 7, Rev. 1, UN Food. Agric. Org. Comm. Genet. Resour. Food Agric., Rome, Italy. taken from Fowler C. and Hodgkin T. 2004. Plant Genetic Resources for
Food and Agriculture: Assessing Global Availability. Annu Rev Environ Resour 29: 10.1-10.37.
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Interdependence of Genetic Resources in Crops= % food energy supply from crops not
indigenous to country = % food energy supply from crops
indigenous to country