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A member of CGIAR consortium www.iita.org
Strides in Building Collaborations
for Cassava Breeding
SK Hahn, AGO Dixon and other members of the
IITA Cassava Breeding Family
IITA Crop Improvement Workshop, Ibadan Nigeria 8 September 2015
TMS-IBA121635TMS-IBA121634
including many
other National,
International
and Private
Partners with
women, men,
experienced
and new
farmers in
Africa
A member of CGIAR consortium www.iita.org
Cassava in Africa
A member of CGIAR consortium www.iita.org
Future Potential for Cassava –
The Rambo Crop?
From Rosenthal and Ort (2012)
A member of CGIAR consortium www.iita.org
Global Agricultural Trial Repository
1,410 agronomic variables
measured are mapped to
Crop Ontology
29,633 trials out of 34,329
described use the Crop
Ontology trait names.
CO terms used for
metadata and search
http://www.agtrials.org/
Cassava – 1654 trials uploaded with 1293 uploaded by CIAT and
361 by IITA with traits conforming to ontology
A member of CGIAR consortium www.iita.org
Cassava Source Sink (2015 – 2019)
Metabolic engineering of carbon pathways to
enhance yield of root and tuber crops
•Andreas Gisel lead
•Physiology of root yield
•Genotypes: TMEB419, TMEB693, IBA30572,
IBA980581, IBA010040, IBA980002
•Testing of transgenics in 2018-2019
Partners:
FAU
ETH
FIF
BTI
Univ. Illinois
IITA
A member of CGIAR consortium www.iita.org
Drought Tolerance in Cassava
Cassava drought tolerance experiment:
– Two treatments; irrigated control and drought stressed
– Two years; two sites in Kenya; Kibwezi and Kiboko
– Five drought tolerant and five drought susceptible varieties
Findings:
– 59% reduction in fresh root yield
– Main mechanism driving drought tolerance is stomata that
respond slowly, do not close immediately when relative
humidity drops, thereby allowing photosynthesis to
continue with increased fresh root weight
– Leaf retention assists assimilate accumulation for a few
weeks
– Selection for yield is a good proxy for drought tolerance
Orek et al. (in preparation)
A member of CGIAR consortium www.iita.org
Cassava Markets in Nigeria
1
Source: Context Network analysis based on field research, farmer interviews, and published source analysis
2
Garri: “CTA Presentation”, October 2014
3
Industrial and Other Processed Food: “Sahel Rapid Appraisal of Nigerian Markets for Cassava”, August 2013
Nigeria Market
Share
(by Usage)1,2,3
52.4 Million MT
Production (2011)
Boil and eat – fresh consumption
Garri
Other Food Products
(fufu, lafun and others)
Industry
A member of CGIAR consortium www.iita.org
Processing into High Quality
Cassava Peel (HQCP) Mashes
http://news.ilri.org/2015/07/09/from-food-waste-to-animal-feed-cassava-peels-potenti
A member of CGIAR consortium www.iita.org
Slides from Dr. Chareinsuk
Rojanaridpiched, Thai
Tapioca Development
Institute
Example of Impact from Thailand
A member of CGIAR consortium www.iita.org
Three generations of improved Thai varieties
increased starch content to 23% to 29%
Slides from Dr. Chareinsuk
Rojanaridpiched, Thai
Tapioca Development
Institute
A member of CGIAR consortium www.iita.org
Agronomic practices for research and
farming successfully implemented
A member of CGIAR consortium www.iita.org
IITA contributed 500
Anagyrus lopezi introduced
from Benin to TTDI in Oct.
2009 for biocontrol of
Phenacoccus manihoti. In
Jan 2010 was first release
to 600 ha. (tapiocathai.org)
IITA contribution to solve mealy bug
threat to Thai Cassava Industry
A member of CGIAR consortium www.iita.org
IITA contribution to development of
cassava genomic resources
Cassava ultra-high density
map
• 532.5 Mb (~770Mb) draft
genome in 12977 scaffolds
• Composite cassava map from
10 populations used to anchor
the fragments to 18 pseudo-
chromosomes
• Resulted in v5.1 reference
genome!
• IITA contributed 9/10 of the
populations
10 Populations; 22,403
SNPs
International Cassava
Genetic Map Consortium,
Genes|Genomes|Genetics
5:133–144.likely that the LGs should be joined in the two-LG component maps
to generate single LGs. Finally, three component LGs were not
included in themergingbecausethey could not beresolved into amap
An integrated frame
With the exception of
maps were colinear with
Figure
The sc
Our co
density
Previo
clear o
a Rom
creasin
A member of CGIAR consortium www.iita.org
Logofoddsratio
Rabbi et al.
(2014)
Crop
Science 54
QTLs underlying key traits
(TMS961089A x TMEB117)
A member of CGIAR consortium www.iita.org
Major locus underlying carotenoid
accumulation in cassava roots
0
20
40
60
80
linkage group
lod
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
2011
2012
combined
PULPCOLS7520_912057
Rabbi et al. Crop Science vol. 54:
A member of CGIAR consortium www.iita.org
Multiple sequence alignment featuring
C/T and A/C SNP polymorphism
A member of CGIAR consortium www.iita.org
6128 clones genotyped and
phenotyped
West Africa, East Africa
~90K SNPs
GWAS supports narrow genetic base for
major gene resistance to CMD
CMD2 Locus
(Wolfe et al. unpublished)
A member of CGIAR consortium www.iita.org
Molecular markers for CBSD tolerance
in three mapping populations
Above LOD 3 is significant
1,000x more likely to be linked than independent assortment
5
Chromosome scale for a 20
MB chromosome
Var1, Site 1, Year 1 (LOD 3.92; 8.2%)
Var1, Site 1, Year 2 (LOD 3.92; 8.2%)
Var1, Site 2, Year 1 (LOD 5.07; 11.6%)
Mb 2010 15Mb 5
Var2, Site 1, Year 1 (LOD 10.75; 25.8%)
Var2, Site 1, Year 2 (LOD 6.06; 21.4%)
Var2, Site 2, Year 1 (LOD 3.91; 8.6%)
Var2, Site 2, Year 2 (LOD 3.62; 8.4%)
Var3, Site 1, Year 1
(LOD 3.56; 10.6%)
Var3, Site 2, Year 2 (LOD 4.33; 12.2%)
Tolerant parents are related: Namikonga (Kaleso), NDL06/132
and Nachinyaya
(Ferguson and students, unpublished)
A member of CGIAR consortium www.iita.org
Resistance to cassava green mite
A member of CGIAR consortium www.iita.org
Germplasm management
GRC core(256+24)
TMEB(831+59)
669 duplicates
501 unique
A member of CGIAR consortium www.iita.org
ADMIXTURE plots from
~4000 cassava
accessions, including
CIAT.
All samples (includes
accessions with one or
more clonal relationships
were included in the
analysis).
Below: Within individual
inbreeding coefficient (F)
A member of CGIAR consortium www.iita.org
Tracking of improved varieties in
Ghana using DNA fingerprinting
Individual ancestry estimated
Hierarchical clustering
A member of CGIAR consortium www.iita.org
Projection of
identified clones
on the Ghana
map.
A member of CGIAR consortium www.iita.org
Farmer-elicited variety names often
do not match specific genotypes
182 different names recorded for the entire sample collection and
here only names that occurred > 9 times are represented.
I"
II"
III"
IX "
V "
V I"
V II"
V III" X " X I" K O T EE"
A M P EN K Y EN E"
T U A K A "
A FIA 0K O FIE"
ESIA B A Y A A "
B O SO M EN SIA "
A B EN W O H A "
D EB O R "
B A N K Y E0"
K O K O O "
A N K R A "
A member of CGIAR consortium www.iita.org
Cassava Breeding Methods
1. Phenotypic Recurrent Selection – pedigree
selection
2. Genomic selection
3. Marker discovery leading to marker
assisted selection
4. Hybrid breeding focused on development
of inbred lines and strategies for
exploitation of heterosis
5. Polyploid Breeding
A member of CGIAR consortium www.iita.org
Progress in genomic-selection
breeding at IITA
SeedlingsCross
Select Genotype
Predict
Breeding
Value
Clonal
PYT
AYT
UYT
Dramatic reduction in cassava
breeding cycle length from 5 to 1
year through genomic selection
Conventional
phenotype-based
selection (> 5 years)
A member of CGIAR consortium www.iita.org
Genomic selection:
Prediction using many markers
Meuwissen et al. 2001: “It was concluded that selection on
genetic values predicted from markers could substantially
increase the rate of genetic gain in animals and plants.”
GEBV = Genomic Expected Breeding Value = predicted quality as a parent
A member of CGIAR consortium www.iita.org
Annual Breeding Cycle
A member of CGIAR consortium www.iita.org
Popn. Trial
Name
Locations # of plots
Ubiaja Ibadan Ikenne Mokwa
Local
germplasm
Local
Germplasm
[907plots, 1row,
5plants, unrep] 907
Genetic
Gain
Genetic Gain [764plots, 1row,
10plants,unrep]
[764plots, 1row,
10plants, unrep] 1528
Genomic
Selection
Cycle 0
GS.C0.PYT88
(from genetic
gain)
[88plots, 1row,
10plants, 2reps]
[88plots, 1row, 10plants,
2reps]
[88plots, 1row,
10plants, 2reps]
[88plots, 1row,
10plants, 2reps] 704
Genomic
Selection
Cycle 1
GS.C0.C1
Crossing Block
C0 = 86; C1 = 158
[244plots, 4rows,
20plants, unrep]
244
GS.C1
Expanded CET
[293plots, 4rows,
20plants, unrep]
[331plots, 4rows,
20plants, unrep]
[329plots, 4rows,
20plants, unrep] 953
GS.C1.CET
(Ungenotyped)
[226plots, 1row,
10plants, unrep]
GS.C1
Expanded CET
(Ungenotyped)
[120plots, 1row,
20plants, unrep]
GS.C1.AYT40
(Ungenotyped)
[40plots, 4rows,
20plants, 3reps] 120
Genomic
Selection
Cycle 2
GS.C2 Crossing
Block
[173plots, 1row,
10plants, unrep] 173
GS.C2.CET [381plots, 1row, 5plants,
unrep]
[447plots, 1row,
5plants, unrep]
[432plots, 1row,
5plants, unrep] 1260
GS.C2 Extra
Selections
[884plots, 1row,
5plants, unrep] 884
GS.C2 Rescued
CET
[151plots, 1row, 5plants,
unrep] 151
GS.C2.CET
(Ungenotyped)
[195plots, 1row,
10plants, unrep] 195
A member of CGIAR consortium www.iita.org
Broad-sense Heritability estimates
from different trial designs
Trial Traits
Carotenoids
(calorimetric)
DM FYLD RTNO MCMDS Average
(env)
PYT88_2013.2015 0.793 0.55 0.23 0.18 0.73 0.50
Genetic Gain_Historical NA 0.26 0.14 0.14 0.59 0.28
Genetic Gain_2013.2015 NA 0.57 0.25 0.27 0.56 0.41
GS.C1.CET_2013.2014 NA 0.47 0.44 0.33 0.86 0.52
GS.C1.Expanded.CET_2014.20
15
0.730 0.68 0.75 0.64 0.67 0.69
GS.C1.CET_2013.2015 0.730 0.64 0.53 0.38 0.86 0.63
GS.C2.CET_2014.2015 0.943 0.64 0.71 0.61 0.93 0.77
GS.C1.C2.CET_2013.2015 0.721 0.44 0.47 0.43 0.82 0.58
Average (trait) 0.783 0.53 0.44 0.37 0.75 0.56
A member of CGIAR consortium www.iita.org
Population
Improvement
after three
cycles of
GS-based
recombination
A member of CGIAR consortium www.iita.org
Principal
Components
Analysis
using
filtered
SNPs
A member of CGIAR consortium www.iita.org
Global GCP cassava reference set
CIAT Breeders
CIAT Genebank
IITA Genebank
IITA Breeders
SEC Africa
Level-2 OTU
Sample
Size
Gene
Diversity
(He)
CIAT breeders 121 0.3465
CIAT genebank 91 0.3433
IITA breeders 102 0.3190
IITA genebank 101 0.3375
SEC Africa 123 0.3410
0 0.1
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537538
Ghana, Sierra Leonne, Togo
Muzege, Bwana Mrefu,
Nyaraboke…
“Cassava Potato”,
Kigoma
1125 SNPs
A member of CGIAR consortium www.iita.org
Doubled Haploid Project (2010 – 2017)
Objectives
•Development of doubled haploid technology
•Partially inbred genetic stocks – IITA role
Partners:
CIAT
NaCRRI
IITA
Consultants
A member of CGIAR consortium www.iita.org
Cassava Doubled Haploid Project
IITA Contribution – Development of Parially Inbred
Genetic Stocks
Seedling nursery (SN)
4,741 inbred plants from 199
families
Clonal evaluation (CE)
Ubiaja, Ibadan, Ikenne: ~500
Preliminary yield trial (PYT)
256
New Seeds
2013-2014 – 27,189
2014-2015 – 20,013
A member of CGIAR consortium www.iita.org
Genetic Stock Groups
1 agronomic traits Drought tolerance
2 High dry matter
3 Early Bulking
4 breeders traits Selected CASTOR progenies
5 Polyploids
6 High flowering
7 Male sterile source
8 disease/pest resistance White root CBSD resistance/tolerance
9 CMD resistance
10 CGM resistance
11 Hairy apical leaves (CGM biocontrol)
12 Multiple pest resistance, yield and dry matter
13 Genetic root necrosis
14 Yellow root CBSD Population
15 geographic location CIAT lines
16 East African lines
17 morphological traits Deep red color
18 quality High HCN potential
19 High carotenoids
20 Poundability
21 Post harvest physiological deterioration
22 High protein
23 Yellow/white roots
A member of CGIAR consortium www.iita.org
Challenge 1: Improve Starch Yield
• Break the dry matter content barrier to
reliably produce starch of 23 to 29%.
• TMEB419 is the standard for high starch
production in Nigeria and many countries with
starch yield near 23%. Few have
exceptionally high starch yield.
• Seasonal time of harvest is a key constraint
to starch yield with best starch production in
the dry season
– Few year round harvest datasets to document
this
A member of CGIAR consortium www.iita.org
Root weight vs Dry matter content
Ibadan
2− 1− 0 1 2 3
−4−202
rtwt_plant
dm
Ikenne
2− 1− 0 1 2 3
−4−3−2−1012
rtwt_plant
dm
A member of CGIAR consortium www.iita.org
High Starch Genotypes in Advanced Testing
High Starch set A – 7 locations, 2 years
A member of CGIAR consortium www.iita.org
Partnership with FMARD and NRCRI
High Starch set B, 7 locations, 2 years
A member of CGIAR consortium www.iita.org
Challenge 2: Reaching needs of
important beneficiaries
• Cassava breeding research must be
gender responsive and address needs of
all groups of farmers.
• Extension information reaches men easier
than women
• 2015 Cassava Monitoring Study of 2500
households in Nigeria will be very helpful
for guiding new strategies.
A member of CGIAR consortium www.iita.org
Gender Differentiated Cassava Preferences
• Nextgeneration Cassava Breeding Project
• Results from a pilot study in the four communities in SW and SE
Nigeria
• Focus group discussions and individual interviews were held with
women, men and youth (women and men separately)
• Results were analyzed using qualitative methods
• Questions included:
– Characteristics of Respondents
– The varieties grown
– Traits preferred (implications to the Breeding program)
– Access to resources
– Marketing and Processing
– Decision making
A member of CGIAR consortium www.iita.org
Preferred Traits of Dangaria
A member of CGIAR consortium www.iita.org
Preferred Traits of IITA
A member of CGIAR consortium www.iita.org
Challenge 3: Meeting end user
preferences
• Over 80% of cassava is consumed as food
• While income can purchase nutrition security,
adoption of cassava varieties in many situations
will depend on providing desired end user
characteristics.
• Includes functional properties of cassava
starches, leaf harvest, biofortification and time of
harvest/in ground storage.
• Industrial traits will have specific target niches
and will address specific markets. Do not
assume one variety will meet all needs.
A member of CGIAR consortium www.iita.org
Challenge 4: Breeding methods need to
be accessible to all breeders in Africa
• Improved phenotyping methods for key traits
• Field designs and analysis methods to maximize
heritability and address GxE
• Successfully implement databases and secure
and accurate data collection
• Determine the appropriate roles of genomic and
phenotypic selections with efficient use of
appropriate markers.
A member of CGIAR consortium www.iita.org
Cassavabase:
A global open
access resource
All Data Available with Open Access with agreement to observe the
Toronto Protocol regarding use of unpublished data
A member of CGIAR consortium www.iita.org
195 Traits in Cassava Ontology
Agronomic 47
Morphological 61
Physiological 3
Quality 33
Stress 51
Total 195
A member of CGIAR consortium www.iita.org
Challenge 5 – addressing the challenge
of dual resistance to CMD and CBSD
• Appropriate use of of different modes of
resistance and tolerance
• Production and dissemination of clean planting
materials
• Effective hybridization sites for international
exchange of botanic seed
• Safe and efficient germplasm exchange of tissue
culture clones
A member of CGIAR consortium www.iita.org
Effect of CMD on yield in
TMEB117 and TMEB693
A member of CGIAR consortium www.iita.org
Planting material Tubers Starch Ethanol
Poor quality
No
management
Poor yield
Crop
Management Increase in yieldGood quality
Quality planting material is fundamental to increase and
sustain cassava productivity
Quality planting material to manage biotic threats
Invest in clean seed systems
A member of CGIAR consortium www.iita.org
Production & distribution of pest-free
germplasm
Transfer to pots in isolated
growth chamber.
Disease monitoring
Screenhouse propagation of
healthy plants in treated soil.
International distribution with
Germplasm Health Statement,
Phytosanitary Certificate,
Material Transfer Agreement
and Import Permit
Plants produced by meristem-tip culture;
indexed, multiplication in vitro
Harvest material (stems,
tubers, suckers) cleaned of
soil/dirt, treated before
despatch with fungicide or
hot-water treatment.
A member of CGIAR consortium www.iita.org
Challenge 6 – Set and reach our
impact targets
• Set targets for each regions and design
programs to reach those targets
• Work together as a team across regions
avoiding unnecessary duplication of effort
– Breeders meetings
– Regional training workshops
• Position resources where they are needed
• Expand regional trials beginning with 5CP in
East Africa and Harvest Plus in West Africa
• Monitor results and adjust methods and targets
A member of CGIAR consortium www.iita.org
Regional Updates
• Set targets for each regions and design
programs to reach those targets
• Work together as a team across regions
avoiding unnecessary duplication of effort
– Breeders meetings
– Regional training workshops
• Position resources where they are needed
• Expand regional trials beginning with 5CP in
East Africa and Harvest Plus in West Africa
• Monitor results and adjust methods and targets
A member of CGIAR consortium www.iita.org
Suitability area for cassava in SADC
Source:
(IITA GPS lab)
A member of CGIAR consortium www.iita.org
Participatory Variety Selection leading to
variety release in Southern Africa
• Malawi: Mlora (83350), Phoso (LCN801),
Sagonja CH92/082 ); Chiombola (TME 6);
Kalawe (CH02/0066); Mpale (NDL90/34); and
Chamandanda (01/1313)
• Mozambique: Colicanana, Nziva, Okhumelela,
Orera and Eyope
• Zambia: Three varieties submitted for variety
release to Seed Control and Certification
Institute -SCCI)
• Biofortified clones introduced in evaluation in
Malawi, Mozambique, Zambia and Swaziland.
A member of CGIAR consortium www.iita.org
Cassava Breeding Achievements in East
Africa
• Tanzania: with ARI released 8 varieties for the coastal lowlands of
Tanzania in the past 5 years.
• Uganda: with NARO two breeding lines submitted for release as the
first varieties with dual resistance to CMD (especially, EACMV-UG)
and tolerance to both CBSD and UCBSD for the mid-altitude areas
of East Africa bordering Lake Victoria
• Dozens of highly promising breeding lines in advanced stages of
evaluation
• Under 5CP facilitating exchange and cooperative testing of 25 elite
clones among 5 NARS breeding programs: Malawi, Mozambique,
Kenya, Tanzania and Uganda.
• Botanical seeds from CBSD tolerant parents sent to Burundi
(6,000), Rwanda (6,000) and DR Congo (10,000) to initiate national
selection programs for specific adaptation to their agro-ecologies.
A member of CGIAR consortium www.iita.org
Cassava Breeding Achievements in DR
Congo
• With INERA released and registration of 21 improved varieties with
harvest period from 12 to 20 months and root yield between 21 to 47
t/ha.
• New selection approach for cassava brown streak disease (CBSD)
comprising evaluation of maturity time every 3 months and in
ground storage to 24 MAP maintaining high starch yield
• Selection for new industrial traits including dietary fibre in leaves,
amylose free starch for pasting industry and sugary cassava for
ethanol
• In partnership with INERA and HarvestPlus new biofortified
genotypes have been selected with total carotene content (TCC) up
to 15µg/g fresh weight and more than the released check TMS-
IBA01/1661 (9.5 µg/g)
A member of CGIAR consortium www.iita.org
Building National Programs in Sierra Leone
and Liberia
• Introduce and characterize local and advanced germplasm using
morphological, biochemical and biotechnology tools
• Generate improved and adapted populations with desired
characteristics for different agro-ecologies targeting different end
uses (farming systems, food, feed and industry) and markets
• Establish special backup populations
• Conserve a core set of local cultivars and improved germplasm
• Fast track on farm evaluation through participatory evaluation using
innovation platforms
• Expedite farmer access to quality planting materials on sustainable
basis
• Improve NARs capacity and facilities (human, financial,
infrastructure) for effective execution of germplasm development,
deployment and communication
A member of CGIAR consortium www.iita.org
IITA Cassava Breeding Trials in Nigeria
TRIAL TYPE 2011/2012 2012/2013 2013/2014 2014/2015
Seedling Nursery 3 4 3 4
Clonal Evaluation 2 4 9 8
Preliminary Yield Trials (PYT) 10 13 17 19
Advanced Yield Trials (AYT) 32 45 22 15
Uniform Yield Trials (UYT) 10 28 44 29
Additional Trials:
Genomic Selection Trials 1 10 18
Student Trials 14
Mapping populations/biotech 1 6 5 5
Germplasm (local
germplasm/genetic resources) 1 3 2 2
Genetic gain & Genetic stocks 2 3 4 6
Overall Total 61 107 116 120
Current program is about 50% white root and 50% biofortified
A member of CGIAR consortium www.iita.org
• First large scale distribution of 1st
Wave Vitamin A
Cassava in Nigeria to about 700,000 farmers in 2015
• Release in Nigeria with NRCRI of IITA-TMS-IBA070593,
IITA-TMS-IBA070539 and NR070220 with significantly
higher beta carotene levels
Pro-Vitamin A Cassava
A member of CGIAR consortium www.iita.org
Regional Trials and Breeders
Meeting – West Africa and DRC

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Strides in Building collaborations for cassava breeding

  • 1. A member of CGIAR consortium www.iita.org Strides in Building Collaborations for Cassava Breeding SK Hahn, AGO Dixon and other members of the IITA Cassava Breeding Family IITA Crop Improvement Workshop, Ibadan Nigeria 8 September 2015 TMS-IBA121635TMS-IBA121634 including many other National, International and Private Partners with women, men, experienced and new farmers in Africa
  • 2. A member of CGIAR consortium www.iita.org Cassava in Africa
  • 3. A member of CGIAR consortium www.iita.org Future Potential for Cassava – The Rambo Crop? From Rosenthal and Ort (2012)
  • 4. A member of CGIAR consortium www.iita.org Global Agricultural Trial Repository 1,410 agronomic variables measured are mapped to Crop Ontology 29,633 trials out of 34,329 described use the Crop Ontology trait names. CO terms used for metadata and search http://www.agtrials.org/ Cassava – 1654 trials uploaded with 1293 uploaded by CIAT and 361 by IITA with traits conforming to ontology
  • 5. A member of CGIAR consortium www.iita.org Cassava Source Sink (2015 – 2019) Metabolic engineering of carbon pathways to enhance yield of root and tuber crops •Andreas Gisel lead •Physiology of root yield •Genotypes: TMEB419, TMEB693, IBA30572, IBA980581, IBA010040, IBA980002 •Testing of transgenics in 2018-2019 Partners: FAU ETH FIF BTI Univ. Illinois IITA
  • 6. A member of CGIAR consortium www.iita.org Drought Tolerance in Cassava Cassava drought tolerance experiment: – Two treatments; irrigated control and drought stressed – Two years; two sites in Kenya; Kibwezi and Kiboko – Five drought tolerant and five drought susceptible varieties Findings: – 59% reduction in fresh root yield – Main mechanism driving drought tolerance is stomata that respond slowly, do not close immediately when relative humidity drops, thereby allowing photosynthesis to continue with increased fresh root weight – Leaf retention assists assimilate accumulation for a few weeks – Selection for yield is a good proxy for drought tolerance Orek et al. (in preparation)
  • 7. A member of CGIAR consortium www.iita.org Cassava Markets in Nigeria 1 Source: Context Network analysis based on field research, farmer interviews, and published source analysis 2 Garri: “CTA Presentation”, October 2014 3 Industrial and Other Processed Food: “Sahel Rapid Appraisal of Nigerian Markets for Cassava”, August 2013 Nigeria Market Share (by Usage)1,2,3 52.4 Million MT Production (2011) Boil and eat – fresh consumption Garri Other Food Products (fufu, lafun and others) Industry
  • 8. A member of CGIAR consortium www.iita.org Processing into High Quality Cassava Peel (HQCP) Mashes http://news.ilri.org/2015/07/09/from-food-waste-to-animal-feed-cassava-peels-potenti
  • 9. A member of CGIAR consortium www.iita.org Slides from Dr. Chareinsuk Rojanaridpiched, Thai Tapioca Development Institute Example of Impact from Thailand
  • 10. A member of CGIAR consortium www.iita.org Three generations of improved Thai varieties increased starch content to 23% to 29% Slides from Dr. Chareinsuk Rojanaridpiched, Thai Tapioca Development Institute
  • 11. A member of CGIAR consortium www.iita.org Agronomic practices for research and farming successfully implemented
  • 12. A member of CGIAR consortium www.iita.org IITA contributed 500 Anagyrus lopezi introduced from Benin to TTDI in Oct. 2009 for biocontrol of Phenacoccus manihoti. In Jan 2010 was first release to 600 ha. (tapiocathai.org) IITA contribution to solve mealy bug threat to Thai Cassava Industry
  • 13. A member of CGIAR consortium www.iita.org IITA contribution to development of cassava genomic resources Cassava ultra-high density map • 532.5 Mb (~770Mb) draft genome in 12977 scaffolds • Composite cassava map from 10 populations used to anchor the fragments to 18 pseudo- chromosomes • Resulted in v5.1 reference genome! • IITA contributed 9/10 of the populations 10 Populations; 22,403 SNPs International Cassava Genetic Map Consortium, Genes|Genomes|Genetics 5:133–144.likely that the LGs should be joined in the two-LG component maps to generate single LGs. Finally, three component LGs were not included in themergingbecausethey could not beresolved into amap An integrated frame With the exception of maps were colinear with Figure The sc Our co density Previo clear o a Rom creasin
  • 14. A member of CGIAR consortium www.iita.org Logofoddsratio Rabbi et al. (2014) Crop Science 54 QTLs underlying key traits (TMS961089A x TMEB117)
  • 15. A member of CGIAR consortium www.iita.org Major locus underlying carotenoid accumulation in cassava roots 0 20 40 60 80 linkage group lod 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 2011 2012 combined PULPCOLS7520_912057 Rabbi et al. Crop Science vol. 54:
  • 16. A member of CGIAR consortium www.iita.org Multiple sequence alignment featuring C/T and A/C SNP polymorphism
  • 17. A member of CGIAR consortium www.iita.org 6128 clones genotyped and phenotyped West Africa, East Africa ~90K SNPs GWAS supports narrow genetic base for major gene resistance to CMD CMD2 Locus (Wolfe et al. unpublished)
  • 18. A member of CGIAR consortium www.iita.org Molecular markers for CBSD tolerance in three mapping populations Above LOD 3 is significant 1,000x more likely to be linked than independent assortment 5 Chromosome scale for a 20 MB chromosome Var1, Site 1, Year 1 (LOD 3.92; 8.2%) Var1, Site 1, Year 2 (LOD 3.92; 8.2%) Var1, Site 2, Year 1 (LOD 5.07; 11.6%) Mb 2010 15Mb 5 Var2, Site 1, Year 1 (LOD 10.75; 25.8%) Var2, Site 1, Year 2 (LOD 6.06; 21.4%) Var2, Site 2, Year 1 (LOD 3.91; 8.6%) Var2, Site 2, Year 2 (LOD 3.62; 8.4%) Var3, Site 1, Year 1 (LOD 3.56; 10.6%) Var3, Site 2, Year 2 (LOD 4.33; 12.2%) Tolerant parents are related: Namikonga (Kaleso), NDL06/132 and Nachinyaya (Ferguson and students, unpublished)
  • 19. A member of CGIAR consortium www.iita.org Resistance to cassava green mite
  • 20. A member of CGIAR consortium www.iita.org Germplasm management GRC core(256+24) TMEB(831+59) 669 duplicates 501 unique
  • 21. A member of CGIAR consortium www.iita.org ADMIXTURE plots from ~4000 cassava accessions, including CIAT. All samples (includes accessions with one or more clonal relationships were included in the analysis). Below: Within individual inbreeding coefficient (F)
  • 22. A member of CGIAR consortium www.iita.org Tracking of improved varieties in Ghana using DNA fingerprinting Individual ancestry estimated Hierarchical clustering
  • 23. A member of CGIAR consortium www.iita.org Projection of identified clones on the Ghana map.
  • 24. A member of CGIAR consortium www.iita.org Farmer-elicited variety names often do not match specific genotypes 182 different names recorded for the entire sample collection and here only names that occurred > 9 times are represented. I" II" III" IX " V " V I" V II" V III" X " X I" K O T EE" A M P EN K Y EN E" T U A K A " A FIA 0K O FIE" ESIA B A Y A A " B O SO M EN SIA " A B EN W O H A " D EB O R " B A N K Y E0" K O K O O " A N K R A "
  • 25. A member of CGIAR consortium www.iita.org Cassava Breeding Methods 1. Phenotypic Recurrent Selection – pedigree selection 2. Genomic selection 3. Marker discovery leading to marker assisted selection 4. Hybrid breeding focused on development of inbred lines and strategies for exploitation of heterosis 5. Polyploid Breeding
  • 26. A member of CGIAR consortium www.iita.org Progress in genomic-selection breeding at IITA SeedlingsCross Select Genotype Predict Breeding Value Clonal PYT AYT UYT Dramatic reduction in cassava breeding cycle length from 5 to 1 year through genomic selection Conventional phenotype-based selection (> 5 years)
  • 27. A member of CGIAR consortium www.iita.org Genomic selection: Prediction using many markers Meuwissen et al. 2001: “It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants.” GEBV = Genomic Expected Breeding Value = predicted quality as a parent
  • 28. A member of CGIAR consortium www.iita.org Annual Breeding Cycle
  • 29. A member of CGIAR consortium www.iita.org Popn. Trial Name Locations # of plots Ubiaja Ibadan Ikenne Mokwa Local germplasm Local Germplasm [907plots, 1row, 5plants, unrep] 907 Genetic Gain Genetic Gain [764plots, 1row, 10plants,unrep] [764plots, 1row, 10plants, unrep] 1528 Genomic Selection Cycle 0 GS.C0.PYT88 (from genetic gain) [88plots, 1row, 10plants, 2reps] [88plots, 1row, 10plants, 2reps] [88plots, 1row, 10plants, 2reps] [88plots, 1row, 10plants, 2reps] 704 Genomic Selection Cycle 1 GS.C0.C1 Crossing Block C0 = 86; C1 = 158 [244plots, 4rows, 20plants, unrep] 244 GS.C1 Expanded CET [293plots, 4rows, 20plants, unrep] [331plots, 4rows, 20plants, unrep] [329plots, 4rows, 20plants, unrep] 953 GS.C1.CET (Ungenotyped) [226plots, 1row, 10plants, unrep] GS.C1 Expanded CET (Ungenotyped) [120plots, 1row, 20plants, unrep] GS.C1.AYT40 (Ungenotyped) [40plots, 4rows, 20plants, 3reps] 120 Genomic Selection Cycle 2 GS.C2 Crossing Block [173plots, 1row, 10plants, unrep] 173 GS.C2.CET [381plots, 1row, 5plants, unrep] [447plots, 1row, 5plants, unrep] [432plots, 1row, 5plants, unrep] 1260 GS.C2 Extra Selections [884plots, 1row, 5plants, unrep] 884 GS.C2 Rescued CET [151plots, 1row, 5plants, unrep] 151 GS.C2.CET (Ungenotyped) [195plots, 1row, 10plants, unrep] 195
  • 30. A member of CGIAR consortium www.iita.org Broad-sense Heritability estimates from different trial designs Trial Traits Carotenoids (calorimetric) DM FYLD RTNO MCMDS Average (env) PYT88_2013.2015 0.793 0.55 0.23 0.18 0.73 0.50 Genetic Gain_Historical NA 0.26 0.14 0.14 0.59 0.28 Genetic Gain_2013.2015 NA 0.57 0.25 0.27 0.56 0.41 GS.C1.CET_2013.2014 NA 0.47 0.44 0.33 0.86 0.52 GS.C1.Expanded.CET_2014.20 15 0.730 0.68 0.75 0.64 0.67 0.69 GS.C1.CET_2013.2015 0.730 0.64 0.53 0.38 0.86 0.63 GS.C2.CET_2014.2015 0.943 0.64 0.71 0.61 0.93 0.77 GS.C1.C2.CET_2013.2015 0.721 0.44 0.47 0.43 0.82 0.58 Average (trait) 0.783 0.53 0.44 0.37 0.75 0.56
  • 31. A member of CGIAR consortium www.iita.org Population Improvement after three cycles of GS-based recombination
  • 32. A member of CGIAR consortium www.iita.org Principal Components Analysis using filtered SNPs
  • 33. A member of CGIAR consortium www.iita.org Global GCP cassava reference set CIAT Breeders CIAT Genebank IITA Genebank IITA Breeders SEC Africa Level-2 OTU Sample Size Gene Diversity (He) CIAT breeders 121 0.3465 CIAT genebank 91 0.3433 IITA breeders 102 0.3190 IITA genebank 101 0.3375 SEC Africa 123 0.3410 0 0.1 1 2 3 4 5 6 7 8 9 10 11 12 1314 1516 171819 20 21 22 23 24 25 26 27 28 29 30 31 3233 3435 36 37 38 39 40 41 4243 44 45 46 4748 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 747576 7778 79 80 81 82 83 84 8586 87 88 89 90 91 9293 9495 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130131 132 133 134 135 136137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160161 162 163 164165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211212 213 214 215216217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236237 238 239240241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271272 273 274 275 276 277 278279280281282 283284 285 286 287 288 289 290 291 292 293294 295 296 297 298 299 300 301 302 303 304 305306 307 308 309 310 311 312 313 314 315 316 317 318 319320 321322323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352353 354 355 356357 358359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377378 379 380 381382383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425426 427 428 429 430 431 432 433 434 435 436437 438 439 440441442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537538 Ghana, Sierra Leonne, Togo Muzege, Bwana Mrefu, Nyaraboke… “Cassava Potato”, Kigoma 1125 SNPs
  • 34. A member of CGIAR consortium www.iita.org Doubled Haploid Project (2010 – 2017) Objectives •Development of doubled haploid technology •Partially inbred genetic stocks – IITA role Partners: CIAT NaCRRI IITA Consultants
  • 35. A member of CGIAR consortium www.iita.org Cassava Doubled Haploid Project IITA Contribution – Development of Parially Inbred Genetic Stocks Seedling nursery (SN) 4,741 inbred plants from 199 families Clonal evaluation (CE) Ubiaja, Ibadan, Ikenne: ~500 Preliminary yield trial (PYT) 256 New Seeds 2013-2014 – 27,189 2014-2015 – 20,013
  • 36. A member of CGIAR consortium www.iita.org Genetic Stock Groups 1 agronomic traits Drought tolerance 2 High dry matter 3 Early Bulking 4 breeders traits Selected CASTOR progenies 5 Polyploids 6 High flowering 7 Male sterile source 8 disease/pest resistance White root CBSD resistance/tolerance 9 CMD resistance 10 CGM resistance 11 Hairy apical leaves (CGM biocontrol) 12 Multiple pest resistance, yield and dry matter 13 Genetic root necrosis 14 Yellow root CBSD Population 15 geographic location CIAT lines 16 East African lines 17 morphological traits Deep red color 18 quality High HCN potential 19 High carotenoids 20 Poundability 21 Post harvest physiological deterioration 22 High protein 23 Yellow/white roots
  • 37. A member of CGIAR consortium www.iita.org Challenge 1: Improve Starch Yield • Break the dry matter content barrier to reliably produce starch of 23 to 29%. • TMEB419 is the standard for high starch production in Nigeria and many countries with starch yield near 23%. Few have exceptionally high starch yield. • Seasonal time of harvest is a key constraint to starch yield with best starch production in the dry season – Few year round harvest datasets to document this
  • 38. A member of CGIAR consortium www.iita.org Root weight vs Dry matter content Ibadan 2− 1− 0 1 2 3 −4−202 rtwt_plant dm Ikenne 2− 1− 0 1 2 3 −4−3−2−1012 rtwt_plant dm
  • 39. A member of CGIAR consortium www.iita.org High Starch Genotypes in Advanced Testing High Starch set A – 7 locations, 2 years
  • 40. A member of CGIAR consortium www.iita.org Partnership with FMARD and NRCRI High Starch set B, 7 locations, 2 years
  • 41. A member of CGIAR consortium www.iita.org Challenge 2: Reaching needs of important beneficiaries • Cassava breeding research must be gender responsive and address needs of all groups of farmers. • Extension information reaches men easier than women • 2015 Cassava Monitoring Study of 2500 households in Nigeria will be very helpful for guiding new strategies.
  • 42. A member of CGIAR consortium www.iita.org Gender Differentiated Cassava Preferences • Nextgeneration Cassava Breeding Project • Results from a pilot study in the four communities in SW and SE Nigeria • Focus group discussions and individual interviews were held with women, men and youth (women and men separately) • Results were analyzed using qualitative methods • Questions included: – Characteristics of Respondents – The varieties grown – Traits preferred (implications to the Breeding program) – Access to resources – Marketing and Processing – Decision making
  • 43. A member of CGIAR consortium www.iita.org Preferred Traits of Dangaria
  • 44. A member of CGIAR consortium www.iita.org Preferred Traits of IITA
  • 45. A member of CGIAR consortium www.iita.org Challenge 3: Meeting end user preferences • Over 80% of cassava is consumed as food • While income can purchase nutrition security, adoption of cassava varieties in many situations will depend on providing desired end user characteristics. • Includes functional properties of cassava starches, leaf harvest, biofortification and time of harvest/in ground storage. • Industrial traits will have specific target niches and will address specific markets. Do not assume one variety will meet all needs.
  • 46. A member of CGIAR consortium www.iita.org Challenge 4: Breeding methods need to be accessible to all breeders in Africa • Improved phenotyping methods for key traits • Field designs and analysis methods to maximize heritability and address GxE • Successfully implement databases and secure and accurate data collection • Determine the appropriate roles of genomic and phenotypic selections with efficient use of appropriate markers.
  • 47. A member of CGIAR consortium www.iita.org Cassavabase: A global open access resource All Data Available with Open Access with agreement to observe the Toronto Protocol regarding use of unpublished data
  • 48. A member of CGIAR consortium www.iita.org 195 Traits in Cassava Ontology Agronomic 47 Morphological 61 Physiological 3 Quality 33 Stress 51 Total 195
  • 49. A member of CGIAR consortium www.iita.org Challenge 5 – addressing the challenge of dual resistance to CMD and CBSD • Appropriate use of of different modes of resistance and tolerance • Production and dissemination of clean planting materials • Effective hybridization sites for international exchange of botanic seed • Safe and efficient germplasm exchange of tissue culture clones
  • 50. A member of CGIAR consortium www.iita.org Effect of CMD on yield in TMEB117 and TMEB693
  • 51. A member of CGIAR consortium www.iita.org Planting material Tubers Starch Ethanol Poor quality No management Poor yield Crop Management Increase in yieldGood quality Quality planting material is fundamental to increase and sustain cassava productivity Quality planting material to manage biotic threats Invest in clean seed systems
  • 52. A member of CGIAR consortium www.iita.org Production & distribution of pest-free germplasm Transfer to pots in isolated growth chamber. Disease monitoring Screenhouse propagation of healthy plants in treated soil. International distribution with Germplasm Health Statement, Phytosanitary Certificate, Material Transfer Agreement and Import Permit Plants produced by meristem-tip culture; indexed, multiplication in vitro Harvest material (stems, tubers, suckers) cleaned of soil/dirt, treated before despatch with fungicide or hot-water treatment.
  • 53. A member of CGIAR consortium www.iita.org Challenge 6 – Set and reach our impact targets • Set targets for each regions and design programs to reach those targets • Work together as a team across regions avoiding unnecessary duplication of effort – Breeders meetings – Regional training workshops • Position resources where they are needed • Expand regional trials beginning with 5CP in East Africa and Harvest Plus in West Africa • Monitor results and adjust methods and targets
  • 54. A member of CGIAR consortium www.iita.org Regional Updates • Set targets for each regions and design programs to reach those targets • Work together as a team across regions avoiding unnecessary duplication of effort – Breeders meetings – Regional training workshops • Position resources where they are needed • Expand regional trials beginning with 5CP in East Africa and Harvest Plus in West Africa • Monitor results and adjust methods and targets
  • 55. A member of CGIAR consortium www.iita.org Suitability area for cassava in SADC Source: (IITA GPS lab)
  • 56. A member of CGIAR consortium www.iita.org Participatory Variety Selection leading to variety release in Southern Africa • Malawi: Mlora (83350), Phoso (LCN801), Sagonja CH92/082 ); Chiombola (TME 6); Kalawe (CH02/0066); Mpale (NDL90/34); and Chamandanda (01/1313) • Mozambique: Colicanana, Nziva, Okhumelela, Orera and Eyope • Zambia: Three varieties submitted for variety release to Seed Control and Certification Institute -SCCI) • Biofortified clones introduced in evaluation in Malawi, Mozambique, Zambia and Swaziland.
  • 57. A member of CGIAR consortium www.iita.org Cassava Breeding Achievements in East Africa • Tanzania: with ARI released 8 varieties for the coastal lowlands of Tanzania in the past 5 years. • Uganda: with NARO two breeding lines submitted for release as the first varieties with dual resistance to CMD (especially, EACMV-UG) and tolerance to both CBSD and UCBSD for the mid-altitude areas of East Africa bordering Lake Victoria • Dozens of highly promising breeding lines in advanced stages of evaluation • Under 5CP facilitating exchange and cooperative testing of 25 elite clones among 5 NARS breeding programs: Malawi, Mozambique, Kenya, Tanzania and Uganda. • Botanical seeds from CBSD tolerant parents sent to Burundi (6,000), Rwanda (6,000) and DR Congo (10,000) to initiate national selection programs for specific adaptation to their agro-ecologies.
  • 58. A member of CGIAR consortium www.iita.org Cassava Breeding Achievements in DR Congo • With INERA released and registration of 21 improved varieties with harvest period from 12 to 20 months and root yield between 21 to 47 t/ha. • New selection approach for cassava brown streak disease (CBSD) comprising evaluation of maturity time every 3 months and in ground storage to 24 MAP maintaining high starch yield • Selection for new industrial traits including dietary fibre in leaves, amylose free starch for pasting industry and sugary cassava for ethanol • In partnership with INERA and HarvestPlus new biofortified genotypes have been selected with total carotene content (TCC) up to 15µg/g fresh weight and more than the released check TMS- IBA01/1661 (9.5 µg/g)
  • 59. A member of CGIAR consortium www.iita.org Building National Programs in Sierra Leone and Liberia • Introduce and characterize local and advanced germplasm using morphological, biochemical and biotechnology tools • Generate improved and adapted populations with desired characteristics for different agro-ecologies targeting different end uses (farming systems, food, feed and industry) and markets • Establish special backup populations • Conserve a core set of local cultivars and improved germplasm • Fast track on farm evaluation through participatory evaluation using innovation platforms • Expedite farmer access to quality planting materials on sustainable basis • Improve NARs capacity and facilities (human, financial, infrastructure) for effective execution of germplasm development, deployment and communication
  • 60. A member of CGIAR consortium www.iita.org IITA Cassava Breeding Trials in Nigeria TRIAL TYPE 2011/2012 2012/2013 2013/2014 2014/2015 Seedling Nursery 3 4 3 4 Clonal Evaluation 2 4 9 8 Preliminary Yield Trials (PYT) 10 13 17 19 Advanced Yield Trials (AYT) 32 45 22 15 Uniform Yield Trials (UYT) 10 28 44 29 Additional Trials: Genomic Selection Trials 1 10 18 Student Trials 14 Mapping populations/biotech 1 6 5 5 Germplasm (local germplasm/genetic resources) 1 3 2 2 Genetic gain & Genetic stocks 2 3 4 6 Overall Total 61 107 116 120 Current program is about 50% white root and 50% biofortified
  • 61. A member of CGIAR consortium www.iita.org • First large scale distribution of 1st Wave Vitamin A Cassava in Nigeria to about 700,000 farmers in 2015 • Release in Nigeria with NRCRI of IITA-TMS-IBA070593, IITA-TMS-IBA070539 and NR070220 with significantly higher beta carotene levels Pro-Vitamin A Cassava
  • 62. A member of CGIAR consortium www.iita.org Regional Trials and Breeders Meeting – West Africa and DRC

Editor's Notes

  1. Castor crosses planted in ES23
  2. Mapping population: Full-sib F1 populations derived from pairs of non-inbred parents Phenotyping (>2 years): Susceptibility to Cassava Mosaic Disease; Carotenoid accumulation (b-carotene) in storage roots; Anthocyanin pigmentations; Number of harvested roots; root weight per plot. Genotyping: GBS using PstI Restriction enzyme (n = 770 SNPs) Data analysis: Genetic map – Joinmap® Phenotype data analysis - R/lme4 QTL mapping using R/qtl
  3. The linkage groups have been renamed in this study. Chromosome 8 corresponds to 16 in the previous maps. The story here is that we observe a single peak from a genome-wide association study that utilized a very large population of cassava from Africa.
  4. See the code from line 49 under the subheading: ### Subset the GRC, Genetic Gain and LR samples -------------------------------- GG <- which(substr(rownames(IBS.num.QC1),1,3)=="GG_") #1199 samples LR <- which(substr(rownames(IBS.num.QC1),1,3)=="LR_") #1170 samples (GRC_core and LR plus LR from GG) GRC <- which(substr(rownames(IBS.num.QC1),1,10)=="LR_GRC_Tme") #256 + 24 genotypes that are LR_GRC_genetic gain TMEB <- which(substr(rownames(IBS.num.QC1),1,7)=="LR_TMEB") #831 + 59 samples from LR_GG collection # 256+24+831+59 = 1170 - all accessions accounted for!
  5. Population structure of cassava accessions from three major cassava producing regions of Ghana. (A) Hierarchical clustering (Ward’s minimum variance method) dendrogram. The red dashed line represents the empirically determined distance threshold developed from comparison of duplicated library samples. A distance of 0.05 below which two individuals can be declared identical. (B, bottom) Individual ancestry estimated from ADMIXTURE analysis. Individuals are represented as thin vertical lines partitioned into segments corresponding to the inferred membership in K = 11 genetic clusters as indicated by the colors. The roman numerals show groups of clonal individuals with predominant ancestry membership in each of the 11 clusters.
  6. Geographical distribution of the cassava cultivars (landraces and improved varieties) analyzed in this study. The color scheme matches that of ancestry assignment in ADMIXTURE figure. Twenty-nine accessions that lacked latitude and longitude information are not shown on the map. Inset is the overview map of Ghana and the three study regions are shaded grey.
  7. Correspondence between genetically unique varieties as identified by 56,489 SNP (indicated by numbers I to XI) and the most common variety names as elicited from farmers (indicated by A to J). Note that only variety names occurring at least 10 times or more in the entire sample were used.
  8. Yi = phenotype, xij = allelic state at marker j in individual I, Bj is the effect associated with marker , dj is a 1 or 0 indicator variable for the inclusion of marker j in the estimation of breeding values, and ei is the residual In conventional cassava breeding, new breeding material resulting from a cross is assessed by breeders over several growing seasons and in multiple locations before they select superior clones for the next cycle of germplasm improvement. Cassava is vegetatively propagated, and limited numbers (5-10) of propagules can be obtained from one plant. To obtain sufficient propagules to perform replicated and multi-locational trials for meaningful phenotypic characterization, several cycles of propagation are thus required. Cassava breeding cycles, from seedling to multi-location field trials, can therefore take more than five years, limiting the rate of variety improvement and breeders' ability to respond to new challenges. Shifting from phenotype-based selection to genotype-based selection has the potential to overcome lengthy cassava breeding cycles. Using Genomic Selection, IITA has embarked on a one-year breeding cycle which is expected to increase the rate of genetic gain. The first cycle has been completed and we are on to the second cycle. What is Genomic Selection? Genomic Selection is a new plant breeding method that uses statistical modeling to predict how a plant will perform, before it is field-tested. Novel statistical models and bioinformatics tools, combined with increasingly abundant genomic information, have enabled the deployment of prediction-based breeding methods such as Genomic Selection in crop breeding programs. More information at: http://www.nextgencassava.org/genomic_select.html Project website: http://www.nextgencassava.org/index.html
  9. Summary of field germplasm populations, field trials and locations carried out during the 2014-2015 period.
  10. PCA cluster of the African cassava germplasm combined with CIAT collection. Some interesting patterns emerge, including separation of CIAT from African cassava and also seperation of genetic gain from the rest. Clone 58308 is far away from M. glaziovii crosses are. Was 58308 derived from different wild Mahihot species?
  11. Include crossing blocks (clonal) and PYTs