SlideShare a Scribd company logo
Partnering on crop wild relative research at three scales:
commonalities for success
Colin K. Khoury, Stephanie L. Greene, and Nora P. Castañeda-Álvarez
Symposium: Conserving and Using Crop Wild Relatives: Partnering for Success
ASA, CSSA, SSSA Annual Meeting
16 November 2015
Minneapolis, USA
Crop wild relatives (CWR) everywhere
Crop wild relatives are valuable
Aluminium tolerance from
Oryza rufipogon
Salinity tolerance from
Solanum cheesmaniae
Western corn rootworm resistance
from Tripsacum dactyloides
Salinity tolerance from
Helianthus paradoxus
Publications- 2% of citations recorded prior to 1970, 13% in the 1970s, 15% in the 1980s, 32% in the 1990s and 38% 2000-2009 (n=234)
Disease resistance 39%, pest and disease resistance 17%, abiotic stress tolerance 13%, quality improvement 11% yield increase 10%, husbandry
improvement 6%, cytoplasmic male sterility and fertility restorers 4% (Maxted & Kell 2009)
Improvements in access to CWR taxonomic
and relatedness information
http://www.ars-grin.gov/~sbmljw/cgi-bin/taxcwr.pl?language=en
http://www.cwrdiversity.org/checklist/
Improvements in access to CWR distributions
information
https://plants.jstor.org/
http://www.gbif.org//
https://www.genesys-pgr.org/welcome
Improvements in methods to assess
comprehensiveness of genebank collections
Improvements in methods to assess potential
for use of CWR germplasm
http://www.ars-grin.gov/npgs/acc/acc_queries.html
http://www.planttreaty.org/
https://www.cbd.int/abs/
Improvements in tools and mechanisms
facilitating access to CWR germplasm (?)
9
Increasing awareness of urgency to adapt
agriculture to a more challenging future
2055
Increasing awareness of threats to CWR
11
Wild Pecos sunflower
Helianthus paradoxusWild squash Cucurbita okeechobeensis subsp.
okeechobeensis
Scrub plum Prunus geniculataTexas wild rice Zizania texana
Increasing awareness of threats to CWR
CWR at the nexus
Crop Wild Relatives
Food and nutrition security
Agricultural development
Climate change adaptation
Biodiversity conservation
Ecosystem services
Sustainable Development
Goals (SDGs)
Convention on
Biological Diversity (CBD)
Plant Treaty (ITPGRFA)
Sustainable Development
Goals (SDGs)
Sustainable Development
Goals (SDGs)
Plant Treaty (ITPGRFA)
Plant Treaty (ITPGRFA)
Challenges in basic CWR research
• Who?
• Gaps and errors in taxonomic and relatedness information
• Where?
• Gaps and errors in species distributions and genebank holdings
data
• What?
• Underdeveloped and rarely verified predictive characterization
• Very little genotypic and phenotypic information useful to assess
their potential as genetic resources
• How?
• Difficulties in conservation
• Limited access to germplasm
• Declining public research funding
• Uncertain management authority
Challenges in basic CWR research
Simpson CE (1992) Peanut Science. Photo from Valls JFM (2010) What specific changes in the current way genebanks and breeders do 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.
Challenges in using CWR
“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 lying on your sofa.”
Challenges in using CWR
Crop Wild Relative Global Occurrence Database
Castañeda-Álvarez et al. 2016. in prep.
13.8 million records with validated coordinates
• 19.4 million total records
• 13.8 million records with validated coordinates
• Focused on 193 genera (most important food crops and
their related genera)
• Value-added
• Taxonomically adjusted/corrected
• Geographically cross-checked and geo-referenced
• Records from at least 96% of countries
• 98% of records can be openly shared
CWR Global Occurrence Database- summary
• Aim was to gather as much data as possible
• Major online biodiversity sources
• Major and minor herbaria (H)
• Accessible genebanks (G)
• Researchers (R)
• Published literature (L)
• Method- online download, directly contacting providers, herbarium visits,
open requests for data, presentations and posters
• Email, email, email, call
• Capitalized on partner contacts and personal relationships
• Data sharing options
• Collaboration opportunities – data repatriation, publications, training
• Resulting in data gathered from:
• 16 online resources
• Sent to us- 11 G, 33 H, 17 R
• 24 herbarium visits- 15,000 records digitized
• Data scooped from 5 literature sources
• Total- 90 direct providers; ca. 500 total providers
CWR Global Occurrence Database- data gathering
• Only 5 providers signed a data sharing agreement.
Only 2 of these did not allow further sharing of data
• 11 total providers requested that data be used only
within project, due to:
– Potential sensitivity of collection locations
– Conflict with other partnership agreements
– Data not yet published/threat to intellectual property
– Not specified
• By later stages of project, most of these providers
decided to permit further use of data
19.1 million records (98.4%) open distribution
306,781 records (1.6%) only for use of project
CWR Global Occurrence Database- data
arrangements
• Overall overwhelmingly positive about project and
sharing data
• The great majority contacted replied (80% responded)
• With few exceptions, all who responded and had data,
shared it
• Response aided by previous connections and personal
relationships. Although a few providers from closely
related organizations did not collaborate, despite
extensive attempts at engagement
• Response aided by mutually beneficial agreements (value
added data repatriation, publications, training)
• Recognition (attribution) important to providers
CWR Global Occurrence Database- lessons learned
about partnering on occurrence data
CWR data and gap analysis training
• PBI/Solanaceae
Source/NHM
(Solanum)
• ABCIC (African Oryza)
• CIP (Solanum, Ipomoea)
• CGN (Lactuca)
• UBC (Helianthus)
• EMBRAPA
• Value added data shared back to direct providers
(repatriation)
• Creative commons license (Non-commercial, Share-alike; now
moving to Attribution 4.0 International)
• Few comments on licensing; all were positive
• Data also provided to researchers/organizations by direct
request
• Data partly available now through website
(http://www.cwrdiversity.org/checklist/cwr-occurrences.php)
• Will soon provide entire dataset through website and GBIF
• Also providing data processing tools and code
(https://github.com/CIAT-DAPA/
cwr_occurrencesvalidation)
CWR Global Occurrence Database- data
distribution
CWR gap analyses for crop genepools
potato
sweetpotato
sunflower
pigeonpea
Gather
occurrence data
Make collecting
recommendations
Model
distributions
Process data
Determine gaps
in collections
Taxonomic
Geographic
Ecological
Choose species
or area
81 crop genepools
1079 crop wild relative
taxa (close relatives)
Crop wild relative gap analysis method
Distributions of the CWR of pigeonpea
Khoury et al. 2015. Biological Conservation 184: 259-270.
Collecting priorities for the CWR of pigeonpea
Khoury et al. 2015. Biological Conservation 184: 259-270.
Potential adaptive traits in CWR of pigeonpea
Khoury et al. 2015. Biological Conservation 184: 259-270.
Targeted proposed collecting for adaptive traits for
the CWR of pigeonpea
Potential distributions of selected CWR in A) south Asia and B) Australia that are not currently represented in germplasm collections and which occur in regions with <500 mm annual precipitation.
Khoury et al. 2015. Biological Conservation 184: 259-270.
Gap analyses for targeted crop genepools
Kantar et al. 2015. Front. Plant Sci. 6: 841.
Castañeda-Álvarez et al. 2015. PLoS One 10(4): e0122599. Khoury et al. 2015. Biol. Conserv. 184: 259-270.
Khoury et al. 2015. Front. Plant Sci. 6: 251.Cobben et al. 2015. Plant Gen. Res. 13(2): 153-161.
CWR gap analyses at the national level
Inventory of CWR of the USA
• Inventory includes a wide range of
utilized and potentially useful taxa,
including both native and naturalized
species occurring in the USA
• List peer reviewed by US researchers,
curators, breeders
• Inventory contains over 4,600 taxa
• CWR related to major crops
prioritized, along with US iconic wild
crops (e.g. sugar maple, wild rice,
pecan)
• ca. 250 closely related, native taxa
related to 38 crops = highest priority Phaseolus angustissimus. SEINet
Khoury et al. 2013. Crop Science 53(4): 1496.
raspberry 8
Ribes 27
squash 3
star anise 1
strawberry 8
sugar maple 3
sunflower 35
sweet potato 9
tepary bean 2
vanilla 2
walnut 5
wild rice 5
Associated
crop
Number
of CWR
apricot 2
beet 3
blackberry 36
blueberry 17
cherry 2
chestnut 3
chives 1
cotton 3
cranberry 2
fig 1
garlic 1
grape 28
guava 1
hazelnut 3
lettuce 9
lingonberry 3
maize 3
mate 5
peach 10
pecan 9
pepper 1
persimmon 2
pistachio 1
plum 17
potato 1
ramp 1
Highest priority food CWR of the USA
Khoury et al. 2013. Crop Science 53(4): 1496.
USA CWR distributions
0
5
10
15
20
25
30
35
40
83.5%
8.4%
5.5% 2.6%
USA CWR gap analysis priorities
• Collaborations with genebanks, herbaria, researchers, and
expert evaluators have overall been overwhelmingly positive,
with the great majority very willing to contribute to the
projects however they can. Investing in establishing as well as
using pre-established personal relationships with partners
probably improved response
• Formal data sharing agreement was very rarely used, 98% of
occurrence data can be shared with the global community, and
open use license (attribution only) seems acceptable.
Recognition (attribution) is important
• The CWR data community remains quite some distance from
the level of data quality and standardization required to trust
in, share, and use taxonomic and occurrence data quickly and
easily, although we are making progress
Thoughts and considerations on partnerships 1
• Collaborations involving invested researchers with a
wide diversity of skills (taxonomy, distributions,
conservation, breeding) were necessary to do our
research on CWR, especially when using big datasets
• Iterative evaluations of data and results by collaborators
were essential
• Mutually beneficial arrangements (publications, etc.)
were highly desired, and resulted in best products
• Open access, open sharing (data, knowledge, tools) is
the norm, is appreciated, and becoming expected
• Media appreciates proactivity, or at least willingness, to
communicate about CWR
Thoughts and considerations on partnerships 2

More Related Content

What's hot

Prioritizing Crop Wild Relatives Collecting
Prioritizing Crop Wild Relatives CollectingPrioritizing Crop Wild Relatives Collecting
Prioritizing Crop Wild Relatives Collecting
Luigi Guarino
 
The Conservation and Use of Crop Genetic Resources for Food Security
The Conservation and Use of Crop Genetic Resources for Food SecurityThe Conservation and Use of Crop Genetic Resources for Food Security
The Conservation and Use of Crop Genetic Resources for Food Security
Colin Khoury
 
Crop wild relatives - looking at trends in genetic diversity to inform conser...
Crop wild relatives - looking at trends in genetic diversity to inform conser...Crop wild relatives - looking at trends in genetic diversity to inform conser...
Crop wild relatives - looking at trends in genetic diversity to inform conser...
Bioversity International
 
CWR US presentation C8
CWR US presentation C8CWR US presentation C8
CWR US presentation C8
CWRofUS
 
CWR US presentation PGOC 2011
CWR US presentation PGOC 2011CWR US presentation PGOC 2011
CWR US presentation PGOC 2011
CWRofUS
 
CWR US poster Botany 2011
CWR US poster Botany 2011CWR US poster Botany 2011
CWR US poster Botany 2011
CWRofUS
 
Introduction to prebreeding component of CWR project
Introduction to prebreeding component of CWR project Introduction to prebreeding component of CWR project
Introduction to prebreeding component of CWR project
CWR Project
 
The role of ex situ crop diversity conservation in adaptation to climate change
The role of ex situ crop diversity conservation in adaptation to climate changeThe role of ex situ crop diversity conservation in adaptation to climate change
The role of ex situ crop diversity conservation in adaptation to climate change
Luigi Guarino
 
CWR US Presentation ASA/CSSA/SSSA Tampa 2013
CWR US Presentation ASA/CSSA/SSSA Tampa 2013 CWR US Presentation ASA/CSSA/SSSA Tampa 2013
CWR US Presentation ASA/CSSA/SSSA Tampa 2013
CWRofUS
 
Plant adaptation to climate change - Scott Chapman
Plant adaptation to climate change - Scott ChapmanPlant adaptation to climate change - Scott Chapman
Plant adaptation to climate change - Scott Chapman
Climate Change Research Strategy for Primary Industries
 
Crop diversity and climate change
Crop diversity and climate changeCrop diversity and climate change
Crop diversity and climate change
Luigi Guarino
 
Interdependence among countries in plant genetic resources and crop wild rela...
Interdependence among countries in plant genetic resources and crop wild rela...Interdependence among countries in plant genetic resources and crop wild rela...
Interdependence among countries in plant genetic resources and crop wild rela...
Colin Khoury
 
Crop diversity for climate change adaptation
Crop diversity for climate change adaptation Crop diversity for climate change adaptation
Crop diversity for climate change adaptation
Bioversity International
 
Re-collection to assess temporal variation in wild barley diversity in Jordan
Re-collection to assess temporal variation in wild barley diversity in JordanRe-collection to assess temporal variation in wild barley diversity in Jordan
Re-collection to assess temporal variation in wild barley diversity in Jordan
Bioversity International
 
What do we have to lose? Generating crop diversity and threat monitoring info...
What do we have to lose? Generating crop diversity and threat monitoring info...What do we have to lose? Generating crop diversity and threat monitoring info...
What do we have to lose? Generating crop diversity and threat monitoring info...
Bioversity International
 
Vijay Bhosekar_ PP_Rodale Institute_Feb 9
Vijay Bhosekar_ PP_Rodale Institute_Feb 9Vijay Bhosekar_ PP_Rodale Institute_Feb 9
Vijay Bhosekar_ PP_Rodale Institute_Feb 9
vijay bhosekar
 
Vijay Bhosekar_ PP_Rodale Institute_Feb 9
Vijay Bhosekar_ PP_Rodale Institute_Feb 9Vijay Bhosekar_ PP_Rodale Institute_Feb 9
Vijay Bhosekar_ PP_Rodale Institute_Feb 9
vijay bhosekar
 
Conserving crop diversity forever
Conserving crop diversity foreverConserving crop diversity forever
Conserving crop diversity forever
CIAT
 
The role of genetic diversity for building resilience for food security
The role of genetic diversity for building resilience for food securityThe role of genetic diversity for building resilience for food security
The role of genetic diversity for building resilience for food security
Bioversity International
 
weed CA journal
weed CA  journalweed CA  journal
weed CA journal
daniel markos
 

What's hot (20)

Prioritizing Crop Wild Relatives Collecting
Prioritizing Crop Wild Relatives CollectingPrioritizing Crop Wild Relatives Collecting
Prioritizing Crop Wild Relatives Collecting
 
The Conservation and Use of Crop Genetic Resources for Food Security
The Conservation and Use of Crop Genetic Resources for Food SecurityThe Conservation and Use of Crop Genetic Resources for Food Security
The Conservation and Use of Crop Genetic Resources for Food Security
 
Crop wild relatives - looking at trends in genetic diversity to inform conser...
Crop wild relatives - looking at trends in genetic diversity to inform conser...Crop wild relatives - looking at trends in genetic diversity to inform conser...
Crop wild relatives - looking at trends in genetic diversity to inform conser...
 
CWR US presentation C8
CWR US presentation C8CWR US presentation C8
CWR US presentation C8
 
CWR US presentation PGOC 2011
CWR US presentation PGOC 2011CWR US presentation PGOC 2011
CWR US presentation PGOC 2011
 
CWR US poster Botany 2011
CWR US poster Botany 2011CWR US poster Botany 2011
CWR US poster Botany 2011
 
Introduction to prebreeding component of CWR project
Introduction to prebreeding component of CWR project Introduction to prebreeding component of CWR project
Introduction to prebreeding component of CWR project
 
The role of ex situ crop diversity conservation in adaptation to climate change
The role of ex situ crop diversity conservation in adaptation to climate changeThe role of ex situ crop diversity conservation in adaptation to climate change
The role of ex situ crop diversity conservation in adaptation to climate change
 
CWR US Presentation ASA/CSSA/SSSA Tampa 2013
CWR US Presentation ASA/CSSA/SSSA Tampa 2013 CWR US Presentation ASA/CSSA/SSSA Tampa 2013
CWR US Presentation ASA/CSSA/SSSA Tampa 2013
 
Plant adaptation to climate change - Scott Chapman
Plant adaptation to climate change - Scott ChapmanPlant adaptation to climate change - Scott Chapman
Plant adaptation to climate change - Scott Chapman
 
Crop diversity and climate change
Crop diversity and climate changeCrop diversity and climate change
Crop diversity and climate change
 
Interdependence among countries in plant genetic resources and crop wild rela...
Interdependence among countries in plant genetic resources and crop wild rela...Interdependence among countries in plant genetic resources and crop wild rela...
Interdependence among countries in plant genetic resources and crop wild rela...
 
Crop diversity for climate change adaptation
Crop diversity for climate change adaptation Crop diversity for climate change adaptation
Crop diversity for climate change adaptation
 
Re-collection to assess temporal variation in wild barley diversity in Jordan
Re-collection to assess temporal variation in wild barley diversity in JordanRe-collection to assess temporal variation in wild barley diversity in Jordan
Re-collection to assess temporal variation in wild barley diversity in Jordan
 
What do we have to lose? Generating crop diversity and threat monitoring info...
What do we have to lose? Generating crop diversity and threat monitoring info...What do we have to lose? Generating crop diversity and threat monitoring info...
What do we have to lose? Generating crop diversity and threat monitoring info...
 
Vijay Bhosekar_ PP_Rodale Institute_Feb 9
Vijay Bhosekar_ PP_Rodale Institute_Feb 9Vijay Bhosekar_ PP_Rodale Institute_Feb 9
Vijay Bhosekar_ PP_Rodale Institute_Feb 9
 
Vijay Bhosekar_ PP_Rodale Institute_Feb 9
Vijay Bhosekar_ PP_Rodale Institute_Feb 9Vijay Bhosekar_ PP_Rodale Institute_Feb 9
Vijay Bhosekar_ PP_Rodale Institute_Feb 9
 
Conserving crop diversity forever
Conserving crop diversity foreverConserving crop diversity forever
Conserving crop diversity forever
 
The role of genetic diversity for building resilience for food security
The role of genetic diversity for building resilience for food securityThe role of genetic diversity for building resilience for food security
The role of genetic diversity for building resilience for food security
 
weed CA journal
weed CA  journalweed CA  journal
weed CA journal
 

Viewers also liked

Utilization of wild species and cultivated landrace for enhancing productivit...
Utilization of wild species and cultivated landrace for enhancing productivit...Utilization of wild species and cultivated landrace for enhancing productivit...
Utilization of wild species and cultivated landrace for enhancing productivit...
International Institute of Tropical Agriculture
 
Crop Wild Relatives infographic
Crop Wild Relatives infographicCrop Wild Relatives infographic
Crop Wild Relatives infographic
CWR Project
 
Using crop wild relatives in crop improvement
Using crop wild relatives in crop improvementUsing crop wild relatives in crop improvement
Using crop wild relatives in crop improvement
Luigi Guarino
 
Crop Wild Relatives On the Rise
Crop Wild Relatives On the RiseCrop Wild Relatives On the Rise
Crop Wild Relatives On the Rise
Decision and Policy Analysis Program
 
Wild relatives of crops as sources of gene for resistance to insect pests
Wild relatives of crops as sources of gene for resistance to insect pestsWild relatives of crops as sources of gene for resistance to insect pests
Wild relatives of crops as sources of gene for resistance to insect pests
ICRISAT
 
curriculum vitae (1)
curriculum vitae (1)curriculum vitae (1)
curriculum vitae (1)
fathy abdulrashid ali koura
 
тести грецька колонізація
тести грецька колонізаціятести грецька колонізація
тести грецька колонізація
brynetna
 
Expo Hospital 2015
Expo Hospital 2015 Expo Hospital 2015
Expo Hospital 2015
Ignacio Andrés Moraga Rivera
 
STKI Summit 2014 - How does CIO deliver?
STKI Summit 2014 - How does CIO deliver?STKI Summit 2014 - How does CIO deliver?
STKI Summit 2014 - How does CIO deliver?
Pini Cohen
 
Relatorio gestao itapetininga-prestacao-contas-2005-2012
Relatorio gestao itapetininga-prestacao-contas-2005-2012Relatorio gestao itapetininga-prestacao-contas-2005-2012
Relatorio gestao itapetininga-prestacao-contas-2005-2012
Ramalho15
 
Use these flashcards to ready yourself for the Performance Assessment
Use these flashcards to ready yourself for the Performance AssessmentUse these flashcards to ready yourself for the Performance Assessment
Use these flashcards to ready yourself for the Performance AssessmentThomasVizza
 
ITC Facepainting Day 2015
ITC Facepainting Day 2015ITC Facepainting Day 2015
ITC Facepainting Day 2015
ITC Personal In-Home Care, LLC
 
Première application pour les annonces légales
Première application pour les annonces légalesPremière application pour les annonces légales
Première application pour les annonces légales
L'Itinérant Annonces Légales
 
high throughput tilling for functional genomics
high throughput tilling for functional genomicshigh throughput tilling for functional genomics
high throughput tilling for functional genomics
Anilkumar C
 
Steve jobs
Steve jobsSteve jobs
Steve jobs
Tanushree Goel
 
Формування громадської думки
Формування громадської думкиФормування громадської думки
Формування громадської думки
brynetna
 
посткомуністичні трансформації країн балтії
посткомуністичні трансформації країн балтії посткомуністичні трансформації країн балтії
посткомуністичні трансформації країн балтії
brynetna
 
Genomics Assisted Crop Improvement- A New Paradigm
Genomics Assisted Crop Improvement- A New ParadigmGenomics Assisted Crop Improvement- A New Paradigm
Genomics Assisted Crop Improvement- A New Paradigm
International Institute of Tropical Agriculture
 
Tilling and Ecotilling High throughput discovery of SNP variation
Tilling and Ecotilling High throughput discovery of SNP variationTilling and Ecotilling High throughput discovery of SNP variation
Tilling and Ecotilling High throughput discovery of SNP variation
FAO
 
Microsoft Marketing Strategies
Microsoft Marketing StrategiesMicrosoft Marketing Strategies
Microsoft Marketing Strategies
Poorvang Agrawal
 

Viewers also liked (20)

Utilization of wild species and cultivated landrace for enhancing productivit...
Utilization of wild species and cultivated landrace for enhancing productivit...Utilization of wild species and cultivated landrace for enhancing productivit...
Utilization of wild species and cultivated landrace for enhancing productivit...
 
Crop Wild Relatives infographic
Crop Wild Relatives infographicCrop Wild Relatives infographic
Crop Wild Relatives infographic
 
Using crop wild relatives in crop improvement
Using crop wild relatives in crop improvementUsing crop wild relatives in crop improvement
Using crop wild relatives in crop improvement
 
Crop Wild Relatives On the Rise
Crop Wild Relatives On the RiseCrop Wild Relatives On the Rise
Crop Wild Relatives On the Rise
 
Wild relatives of crops as sources of gene for resistance to insect pests
Wild relatives of crops as sources of gene for resistance to insect pestsWild relatives of crops as sources of gene for resistance to insect pests
Wild relatives of crops as sources of gene for resistance to insect pests
 
curriculum vitae (1)
curriculum vitae (1)curriculum vitae (1)
curriculum vitae (1)
 
тести грецька колонізація
тести грецька колонізаціятести грецька колонізація
тести грецька колонізація
 
Expo Hospital 2015
Expo Hospital 2015 Expo Hospital 2015
Expo Hospital 2015
 
STKI Summit 2014 - How does CIO deliver?
STKI Summit 2014 - How does CIO deliver?STKI Summit 2014 - How does CIO deliver?
STKI Summit 2014 - How does CIO deliver?
 
Relatorio gestao itapetininga-prestacao-contas-2005-2012
Relatorio gestao itapetininga-prestacao-contas-2005-2012Relatorio gestao itapetininga-prestacao-contas-2005-2012
Relatorio gestao itapetininga-prestacao-contas-2005-2012
 
Use these flashcards to ready yourself for the Performance Assessment
Use these flashcards to ready yourself for the Performance AssessmentUse these flashcards to ready yourself for the Performance Assessment
Use these flashcards to ready yourself for the Performance Assessment
 
ITC Facepainting Day 2015
ITC Facepainting Day 2015ITC Facepainting Day 2015
ITC Facepainting Day 2015
 
Première application pour les annonces légales
Première application pour les annonces légalesPremière application pour les annonces légales
Première application pour les annonces légales
 
high throughput tilling for functional genomics
high throughput tilling for functional genomicshigh throughput tilling for functional genomics
high throughput tilling for functional genomics
 
Steve jobs
Steve jobsSteve jobs
Steve jobs
 
Формування громадської думки
Формування громадської думкиФормування громадської думки
Формування громадської думки
 
посткомуністичні трансформації країн балтії
посткомуністичні трансформації країн балтії посткомуністичні трансформації країн балтії
посткомуністичні трансформації країн балтії
 
Genomics Assisted Crop Improvement- A New Paradigm
Genomics Assisted Crop Improvement- A New ParadigmGenomics Assisted Crop Improvement- A New Paradigm
Genomics Assisted Crop Improvement- A New Paradigm
 
Tilling and Ecotilling High throughput discovery of SNP variation
Tilling and Ecotilling High throughput discovery of SNP variationTilling and Ecotilling High throughput discovery of SNP variation
Tilling and Ecotilling High throughput discovery of SNP variation
 
Microsoft Marketing Strategies
Microsoft Marketing StrategiesMicrosoft Marketing Strategies
Microsoft Marketing Strategies
 

Similar to Partnering on CWR research at three scales: commonalities for success

Biodiversity informatics and the agricultural data landscape
Biodiversity informatics and the agricultural data landscapeBiodiversity informatics and the agricultural data landscape
Biodiversity informatics and the agricultural data landscape
Cyndy Parr
 
U.S. Crop Wild Relatives Gap Analysis Project: The next few years
U.S. Crop Wild Relatives Gap Analysis Project: The next few yearsU.S. Crop Wild Relatives Gap Analysis Project: The next few years
U.S. Crop Wild Relatives Gap Analysis Project: The next few years
CWRofUS
 
Conserving crop wild relatives in the United States
Conserving crop wild relatives in the United StatesConserving crop wild relatives in the United States
Conserving crop wild relatives in the United States
CWRofUS
 
2015. Jason Wallace. Applying high throughput genomics to crops for the devel...
2015. Jason Wallace. Applying high throughput genomics to crops for the devel...2015. Jason Wallace. Applying high throughput genomics to crops for the devel...
2015. Jason Wallace. Applying high throughput genomics to crops for the devel...
FOODCROPS
 
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
ExternalEvents
 
Towards molecular breeding in banana: challenges and opportunities working wi...
Towards molecular breeding in banana: challenges and opportunities working wi...Towards molecular breeding in banana: challenges and opportunities working wi...
Towards molecular breeding in banana: challenges and opportunities working wi...
International Institute of Tropical Agriculture
 
Metadata for the Global Evaluation Trial Repository of CCAFS and interoperabi...
Metadata for the Global Evaluation Trial Repository of CCAFS and interoperabi...Metadata for the Global Evaluation Trial Repository of CCAFS and interoperabi...
Metadata for the Global Evaluation Trial Repository of CCAFS and interoperabi...
Decision and Policy Analysis Program
 
Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...
Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...
Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...
International Institute of Tropical Agriculture
 
Building a Global System for Conserving Crop Diversity
Building a Global System for Conserving Crop DiversityBuilding a Global System for Conserving Crop Diversity
Building a Global System for Conserving Crop Diversity
Luigi Guarino
 
DNA fingerprinting of plant material from farmers fields:What have we learned...
DNA fingerprinting of plant material from farmers fields:What have we learned...DNA fingerprinting of plant material from farmers fields:What have we learned...
DNA fingerprinting of plant material from farmers fields:What have we learned...
Independent Science and Partnership Council of the CGIAR
 
Slides nas study extended text
Slides nas study extended textSlides nas study extended text
Slides nas study extended text
Jose Falck Zepeda
 
GRM 2011: Approaches, resources and tools for rice gene discovery and breeding
GRM 2011: Approaches, resources and tools for rice gene discovery and breedingGRM 2011: Approaches, resources and tools for rice gene discovery and breeding
GRM 2011: Approaches, resources and tools for rice gene discovery and breeding
CGIAR Generation Challenge Programme
 
NGRAC-presentation-to-ASTA-Dec-2014-Final.ppt
NGRAC-presentation-to-ASTA-Dec-2014-Final.pptNGRAC-presentation-to-ASTA-Dec-2014-Final.ppt
NGRAC-presentation-to-ASTA-Dec-2014-Final.ppt
SayyedAadil1
 
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
CGIAR Generation Challenge Programme
 
GRM 2013: Global Rice Science Partnership (GRiSP) – H Leung
GRM 2013: Global Rice Science Partnership (GRiSP) – H LeungGRM 2013: Global Rice Science Partnership (GRiSP) – H Leung
GRM 2013: Global Rice Science Partnership (GRiSP) – H Leung
CGIAR Generation Challenge Programme
 
Iita yam breeding 2005-2015
Iita yam breeding 2005-2015Iita yam breeding 2005-2015
UNL Organic research 2010
UNL Organic research 2010UNL Organic research 2010
UNL Organic research 2010
UNL Research
 
Castaneda2009 Modelamiento Distribucion Especies
Castaneda2009 Modelamiento Distribucion EspeciesCastaneda2009 Modelamiento Distribucion Especies
Castaneda2009 Modelamiento Distribucion Especies
Nora P. Castañeda-Álvarez
 
Application of bioinformatics in agriculture sector
Application of bioinformatics in agriculture sectorApplication of bioinformatics in agriculture sector
Application of bioinformatics in agriculture sector
Suraj Singh
 
Webinar@AIMS: Perspective on Big Data in the CGIAR
Webinar@AIMS: Perspective on Big Data in the CGIARWebinar@AIMS: Perspective on Big Data in the CGIAR
Webinar@AIMS: Perspective on Big Data in the CGIAR
AIMS (Agricultural Information Management Standards)
 

Similar to Partnering on CWR research at three scales: commonalities for success (20)

Biodiversity informatics and the agricultural data landscape
Biodiversity informatics and the agricultural data landscapeBiodiversity informatics and the agricultural data landscape
Biodiversity informatics and the agricultural data landscape
 
U.S. Crop Wild Relatives Gap Analysis Project: The next few years
U.S. Crop Wild Relatives Gap Analysis Project: The next few yearsU.S. Crop Wild Relatives Gap Analysis Project: The next few years
U.S. Crop Wild Relatives Gap Analysis Project: The next few years
 
Conserving crop wild relatives in the United States
Conserving crop wild relatives in the United StatesConserving crop wild relatives in the United States
Conserving crop wild relatives in the United States
 
2015. Jason Wallace. Applying high throughput genomics to crops for the devel...
2015. Jason Wallace. Applying high throughput genomics to crops for the devel...2015. Jason Wallace. Applying high throughput genomics to crops for the devel...
2015. Jason Wallace. Applying high throughput genomics to crops for the devel...
 
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
Food Safety and Soil Health: an US Food and Drug Administration (FDA) perspec...
 
Towards molecular breeding in banana: challenges and opportunities working wi...
Towards molecular breeding in banana: challenges and opportunities working wi...Towards molecular breeding in banana: challenges and opportunities working wi...
Towards molecular breeding in banana: challenges and opportunities working wi...
 
Metadata for the Global Evaluation Trial Repository of CCAFS and interoperabi...
Metadata for the Global Evaluation Trial Repository of CCAFS and interoperabi...Metadata for the Global Evaluation Trial Repository of CCAFS and interoperabi...
Metadata for the Global Evaluation Trial Repository of CCAFS and interoperabi...
 
Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...
Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...
Assessment of genetic diversity among Rwandan cassava (Manihot esculenta) ger...
 
Building a Global System for Conserving Crop Diversity
Building a Global System for Conserving Crop DiversityBuilding a Global System for Conserving Crop Diversity
Building a Global System for Conserving Crop Diversity
 
DNA fingerprinting of plant material from farmers fields:What have we learned...
DNA fingerprinting of plant material from farmers fields:What have we learned...DNA fingerprinting of plant material from farmers fields:What have we learned...
DNA fingerprinting of plant material from farmers fields:What have we learned...
 
Slides nas study extended text
Slides nas study extended textSlides nas study extended text
Slides nas study extended text
 
GRM 2011: Approaches, resources and tools for rice gene discovery and breeding
GRM 2011: Approaches, resources and tools for rice gene discovery and breedingGRM 2011: Approaches, resources and tools for rice gene discovery and breeding
GRM 2011: Approaches, resources and tools for rice gene discovery and breeding
 
NGRAC-presentation-to-ASTA-Dec-2014-Final.ppt
NGRAC-presentation-to-ASTA-Dec-2014-Final.pptNGRAC-presentation-to-ASTA-Dec-2014-Final.ppt
NGRAC-presentation-to-ASTA-Dec-2014-Final.ppt
 
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
PAG XXII 2014 – The Crop Ontology: A resource for enabling access to breeders...
 
GRM 2013: Global Rice Science Partnership (GRiSP) – H Leung
GRM 2013: Global Rice Science Partnership (GRiSP) – H LeungGRM 2013: Global Rice Science Partnership (GRiSP) – H Leung
GRM 2013: Global Rice Science Partnership (GRiSP) – H Leung
 
Iita yam breeding 2005-2015
Iita yam breeding 2005-2015Iita yam breeding 2005-2015
Iita yam breeding 2005-2015
 
UNL Organic research 2010
UNL Organic research 2010UNL Organic research 2010
UNL Organic research 2010
 
Castaneda2009 Modelamiento Distribucion Especies
Castaneda2009 Modelamiento Distribucion EspeciesCastaneda2009 Modelamiento Distribucion Especies
Castaneda2009 Modelamiento Distribucion Especies
 
Application of bioinformatics in agriculture sector
Application of bioinformatics in agriculture sectorApplication of bioinformatics in agriculture sector
Application of bioinformatics in agriculture sector
 
Webinar@AIMS: Perspective on Big Data in the CGIAR
Webinar@AIMS: Perspective on Big Data in the CGIARWebinar@AIMS: Perspective on Big Data in the CGIAR
Webinar@AIMS: Perspective on Big Data in the CGIAR
 

Recently uploaded

EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Sérgio Sacani
 
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
Sharon Liu
 
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptxESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
PRIYANKA PATEL
 
SAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdfSAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdf
KrushnaDarade1
 
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdfApplied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
University of Hertfordshire
 
Randomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNERandomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNE
University of Maribor
 
Cytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptxCytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptx
Hitesh Sikarwar
 
aziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobelaziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobel
İsa Badur
 
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
yqqaatn0
 
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityDeep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
University of Rennes, INSA Rennes, Inria/IRISA, CNRS
 
bordetella pertussis.................................ppt
bordetella pertussis.................................pptbordetella pertussis.................................ppt
bordetella pertussis.................................ppt
kejapriya1
 
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defectsThe binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
Sérgio Sacani
 
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero WaterSharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Texas Alliance of Groundwater Districts
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
Daniel Tubbenhauer
 
molar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptxmolar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptx
Anagha Prasad
 
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
University of Maribor
 
NuGOweek 2024 Ghent programme overview flyer
NuGOweek 2024 Ghent programme overview flyerNuGOweek 2024 Ghent programme overview flyer
NuGOweek 2024 Ghent programme overview flyer
pablovgd
 
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titrationCompexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
Vandana Devesh Sharma
 
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different formsBasics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
MaheshaNanjegowda
 
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically youngThe debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
Sérgio Sacani
 

Recently uploaded (20)

EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
 
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
 
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptxESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
 
SAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdfSAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdf
 
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdfApplied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
 
Randomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNERandomised Optimisation Algorithms in DAPHNE
Randomised Optimisation Algorithms in DAPHNE
 
Cytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptxCytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptx
 
aziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobelaziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobel
 
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
原版制作(carleton毕业证书)卡尔顿大学毕业证硕士文凭原版一模一样
 
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityDeep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
 
bordetella pertussis.................................ppt
bordetella pertussis.................................pptbordetella pertussis.................................ppt
bordetella pertussis.................................ppt
 
The binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defectsThe binding of cosmological structures by massless topological defects
The binding of cosmological structures by massless topological defects
 
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero WaterSharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
 
molar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptxmolar-distalization in orthodontics-seminar.pptx
molar-distalization in orthodontics-seminar.pptx
 
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...
 
NuGOweek 2024 Ghent programme overview flyer
NuGOweek 2024 Ghent programme overview flyerNuGOweek 2024 Ghent programme overview flyer
NuGOweek 2024 Ghent programme overview flyer
 
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titrationCompexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
 
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different formsBasics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
 
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically youngThe debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
 

Partnering on CWR research at three scales: commonalities for success

  • 1. Partnering on crop wild relative research at three scales: commonalities for success Colin K. Khoury, Stephanie L. Greene, and Nora P. Castañeda-Álvarez Symposium: Conserving and Using Crop Wild Relatives: Partnering for Success ASA, CSSA, SSSA Annual Meeting 16 November 2015 Minneapolis, USA
  • 2. Crop wild relatives (CWR) everywhere
  • 3. Crop wild relatives are valuable Aluminium tolerance from Oryza rufipogon Salinity tolerance from Solanum cheesmaniae Western corn rootworm resistance from Tripsacum dactyloides Salinity tolerance from Helianthus paradoxus Publications- 2% of citations recorded prior to 1970, 13% in the 1970s, 15% in the 1980s, 32% in the 1990s and 38% 2000-2009 (n=234) Disease resistance 39%, pest and disease resistance 17%, abiotic stress tolerance 13%, quality improvement 11% yield increase 10%, husbandry improvement 6%, cytoplasmic male sterility and fertility restorers 4% (Maxted & Kell 2009)
  • 4. Improvements in access to CWR taxonomic and relatedness information http://www.ars-grin.gov/~sbmljw/cgi-bin/taxcwr.pl?language=en http://www.cwrdiversity.org/checklist/
  • 5. Improvements in access to CWR distributions information https://plants.jstor.org/ http://www.gbif.org// https://www.genesys-pgr.org/welcome
  • 6. Improvements in methods to assess comprehensiveness of genebank collections
  • 7. Improvements in methods to assess potential for use of CWR germplasm
  • 9. 9 Increasing awareness of urgency to adapt agriculture to a more challenging future
  • 11. 11 Wild Pecos sunflower Helianthus paradoxusWild squash Cucurbita okeechobeensis subsp. okeechobeensis Scrub plum Prunus geniculataTexas wild rice Zizania texana Increasing awareness of threats to CWR
  • 12. CWR at the nexus Crop Wild Relatives Food and nutrition security Agricultural development Climate change adaptation Biodiversity conservation Ecosystem services Sustainable Development Goals (SDGs) Convention on Biological Diversity (CBD) Plant Treaty (ITPGRFA) Sustainable Development Goals (SDGs) Sustainable Development Goals (SDGs) Plant Treaty (ITPGRFA) Plant Treaty (ITPGRFA)
  • 13. Challenges in basic CWR research • Who? • Gaps and errors in taxonomic and relatedness information • Where? • Gaps and errors in species distributions and genebank holdings data • What? • Underdeveloped and rarely verified predictive characterization • Very little genotypic and phenotypic information useful to assess their potential as genetic resources • How? • Difficulties in conservation • Limited access to germplasm • Declining public research funding • Uncertain management authority
  • 14. Challenges in basic CWR research
  • 15. Simpson CE (1992) Peanut Science. Photo from Valls JFM (2010) What specific changes in the current way genebanks and breeders do 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. Challenges in using CWR
  • 16. “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 lying on your sofa.” Challenges in using CWR
  • 17. Crop Wild Relative Global Occurrence Database Castañeda-Álvarez et al. 2016. in prep. 13.8 million records with validated coordinates
  • 18. • 19.4 million total records • 13.8 million records with validated coordinates • Focused on 193 genera (most important food crops and their related genera) • Value-added • Taxonomically adjusted/corrected • Geographically cross-checked and geo-referenced • Records from at least 96% of countries • 98% of records can be openly shared CWR Global Occurrence Database- summary
  • 19. • Aim was to gather as much data as possible • Major online biodiversity sources • Major and minor herbaria (H) • Accessible genebanks (G) • Researchers (R) • Published literature (L) • Method- online download, directly contacting providers, herbarium visits, open requests for data, presentations and posters • Email, email, email, call • Capitalized on partner contacts and personal relationships • Data sharing options • Collaboration opportunities – data repatriation, publications, training • Resulting in data gathered from: • 16 online resources • Sent to us- 11 G, 33 H, 17 R • 24 herbarium visits- 15,000 records digitized • Data scooped from 5 literature sources • Total- 90 direct providers; ca. 500 total providers CWR Global Occurrence Database- data gathering
  • 20. • Only 5 providers signed a data sharing agreement. Only 2 of these did not allow further sharing of data • 11 total providers requested that data be used only within project, due to: – Potential sensitivity of collection locations – Conflict with other partnership agreements – Data not yet published/threat to intellectual property – Not specified • By later stages of project, most of these providers decided to permit further use of data 19.1 million records (98.4%) open distribution 306,781 records (1.6%) only for use of project CWR Global Occurrence Database- data arrangements
  • 21. • Overall overwhelmingly positive about project and sharing data • The great majority contacted replied (80% responded) • With few exceptions, all who responded and had data, shared it • Response aided by previous connections and personal relationships. Although a few providers from closely related organizations did not collaborate, despite extensive attempts at engagement • Response aided by mutually beneficial agreements (value added data repatriation, publications, training) • Recognition (attribution) important to providers CWR Global Occurrence Database- lessons learned about partnering on occurrence data
  • 22. CWR data and gap analysis training • PBI/Solanaceae Source/NHM (Solanum) • ABCIC (African Oryza) • CIP (Solanum, Ipomoea) • CGN (Lactuca) • UBC (Helianthus) • EMBRAPA
  • 23. • Value added data shared back to direct providers (repatriation) • Creative commons license (Non-commercial, Share-alike; now moving to Attribution 4.0 International) • Few comments on licensing; all were positive • Data also provided to researchers/organizations by direct request • Data partly available now through website (http://www.cwrdiversity.org/checklist/cwr-occurrences.php) • Will soon provide entire dataset through website and GBIF • Also providing data processing tools and code (https://github.com/CIAT-DAPA/ cwr_occurrencesvalidation) CWR Global Occurrence Database- data distribution
  • 24. CWR gap analyses for crop genepools potato sweetpotato sunflower pigeonpea
  • 25. Gather occurrence data Make collecting recommendations Model distributions Process data Determine gaps in collections Taxonomic Geographic Ecological Choose species or area 81 crop genepools 1079 crop wild relative taxa (close relatives) Crop wild relative gap analysis method
  • 26. Distributions of the CWR of pigeonpea Khoury et al. 2015. Biological Conservation 184: 259-270.
  • 27. Collecting priorities for the CWR of pigeonpea Khoury et al. 2015. Biological Conservation 184: 259-270.
  • 28. Potential adaptive traits in CWR of pigeonpea Khoury et al. 2015. Biological Conservation 184: 259-270.
  • 29. Targeted proposed collecting for adaptive traits for the CWR of pigeonpea Potential distributions of selected CWR in A) south Asia and B) Australia that are not currently represented in germplasm collections and which occur in regions with <500 mm annual precipitation. Khoury et al. 2015. Biological Conservation 184: 259-270.
  • 30. Gap analyses for targeted crop genepools Kantar et al. 2015. Front. Plant Sci. 6: 841. Castañeda-Álvarez et al. 2015. PLoS One 10(4): e0122599. Khoury et al. 2015. Biol. Conserv. 184: 259-270. Khoury et al. 2015. Front. Plant Sci. 6: 251.Cobben et al. 2015. Plant Gen. Res. 13(2): 153-161.
  • 31. CWR gap analyses at the national level
  • 32. Inventory of CWR of the USA • Inventory includes a wide range of utilized and potentially useful taxa, including both native and naturalized species occurring in the USA • List peer reviewed by US researchers, curators, breeders • Inventory contains over 4,600 taxa • CWR related to major crops prioritized, along with US iconic wild crops (e.g. sugar maple, wild rice, pecan) • ca. 250 closely related, native taxa related to 38 crops = highest priority Phaseolus angustissimus. SEINet Khoury et al. 2013. Crop Science 53(4): 1496.
  • 33. raspberry 8 Ribes 27 squash 3 star anise 1 strawberry 8 sugar maple 3 sunflower 35 sweet potato 9 tepary bean 2 vanilla 2 walnut 5 wild rice 5 Associated crop Number of CWR apricot 2 beet 3 blackberry 36 blueberry 17 cherry 2 chestnut 3 chives 1 cotton 3 cranberry 2 fig 1 garlic 1 grape 28 guava 1 hazelnut 3 lettuce 9 lingonberry 3 maize 3 mate 5 peach 10 pecan 9 pepper 1 persimmon 2 pistachio 1 plum 17 potato 1 ramp 1 Highest priority food CWR of the USA Khoury et al. 2013. Crop Science 53(4): 1496.
  • 36. • Collaborations with genebanks, herbaria, researchers, and expert evaluators have overall been overwhelmingly positive, with the great majority very willing to contribute to the projects however they can. Investing in establishing as well as using pre-established personal relationships with partners probably improved response • Formal data sharing agreement was very rarely used, 98% of occurrence data can be shared with the global community, and open use license (attribution only) seems acceptable. Recognition (attribution) is important • The CWR data community remains quite some distance from the level of data quality and standardization required to trust in, share, and use taxonomic and occurrence data quickly and easily, although we are making progress Thoughts and considerations on partnerships 1
  • 37. • Collaborations involving invested researchers with a wide diversity of skills (taxonomy, distributions, conservation, breeding) were necessary to do our research on CWR, especially when using big datasets • Iterative evaluations of data and results by collaborators were essential • Mutually beneficial arrangements (publications, etc.) were highly desired, and resulted in best products • Open access, open sharing (data, knowledge, tools) is the norm, is appreciated, and becoming expected • Media appreciates proactivity, or at least willingness, to communicate about CWR Thoughts and considerations on partnerships 2