Strides in Building collaborations for cassava breeding
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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
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Cassava in Africa
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Future Potential for Cassava –
The Rambo Crop?
From Rosenthal and Ort (2012)
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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
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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
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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)
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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
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Processing into High Quality
Cassava Peel (HQCP) Mashes
http://news.ilri.org/2015/07/09/from-food-waste-to-animal-feed-cassava-peels-potenti
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Slides from Dr. Chareinsuk
Rojanaridpiched, Thai
Tapioca Development
Institute
Example of Impact from Thailand
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Three generations of improved Thai varieties
increased starch content to 23% to 29%
Slides from Dr. Chareinsuk
Rojanaridpiched, Thai
Tapioca Development
Institute
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Agronomic practices for research and
farming successfully implemented
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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
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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
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Logofoddsratio
Rabbi et al.
(2014)
Crop
Science 54
QTLs underlying key traits
(TMS961089A x TMEB117)
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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:
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Multiple sequence alignment featuring
C/T and A/C SNP polymorphism
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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)
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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)
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Resistance to cassava green mite
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Germplasm management
GRC core(256+24)
TMEB(831+59)
669 duplicates
501 unique
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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)
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Tracking of improved varieties in
Ghana using DNA fingerprinting
Individual ancestry estimated
Hierarchical clustering
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Projection of
identified clones
on the Ghana
map.
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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 "
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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
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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)
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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
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Annual Breeding Cycle
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Doubled Haploid Project (2010 – 2017)
Objectives
•Development of doubled haploid technology
•Partially inbred genetic stocks – IITA role
Partners:
CIAT
NaCRRI
IITA
Consultants
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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
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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
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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
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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
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High Starch Genotypes in Advanced Testing
High Starch set A – 7 locations, 2 years
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Partnership with FMARD and NRCRI
High Starch set B, 7 locations, 2 years
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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.
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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
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Preferred Traits of Dangaria
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Preferred Traits of IITA
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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.
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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.
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Cassavabase:
A global open
access resource
All Data Available with Open Access with agreement to observe the
Toronto Protocol regarding use of unpublished data
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195 Traits in Cassava Ontology
Agronomic 47
Morphological 61
Physiological 3
Quality 33
Stress 51
Total 195
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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
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Effect of CMD on yield in
TMEB117 and TMEB693
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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
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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.
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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
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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
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Suitability area for cassava in SADC
Source:
(IITA GPS lab)
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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.
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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.
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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)
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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
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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
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• 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
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Regional Trials and Breeders
Meeting – West Africa and DRC
Editor's Notes
Castor crosses planted in ES23
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
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.
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!
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.
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.
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.
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
Summary of field germplasm populations, field trials and locations carried out during the 2014-2015 period.
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?