Iita yam breeding 2005-2015
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Transcript of Iita yam breeding 2005-2015
A member of CGIAR consortium www.iita.org
Workshop on Implementation of IITA’s Genetic Improvement StrategyAntonio Lopez-Montes, R. Bhattacharjee and team
Ibadan 8th to 10th of 2013
Yam Breeding at IITA 2005-2015
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STRATEGIC PILLARS
Diversity and Variability
Farmers agro-ecological knowledge and farmers decision-making
Participatory Value Chain Strategy
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Diverse yam species
D. alata
D. dumetorum
D. bulbifera
D. rotundata
Diverse varieties within species
D. alata
Heterogeneous varieties
Food security Resilience Sustainability Income generation Interspp. hybrids
Diversity and Variability
STRATEGIC PILLARS
D. esculenta
D. trifida
D. dumetorum
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KNOWLEDGE INTEGRATION: FARMERS AGRO-ECOLOGICAL KNOWLEDGEAND FARMERS DECISION-MAKING MODELS
Breeding feedback
Accelerate selection
Traits and climate change
Accelarate adoption
Planning
Capacity broadening
Understanding diversity
STRATEGIC PILLARS
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Participatory Value Chain Strategy
STRATEGIC PILLARS
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Breeding Objectives and Target AreasWith primary focus on D. rotundata and D. alata, the principal objectives for genetic improvement include:
1. High and stable tuber yield
2. Tuber characteristics that facilitate harvesting and are valued by consumers (e.g. shape, size, storability, dry matter content and food quality)
3. Resistance to biotic stresses (e.g. viruses, anthracnose, nematodes) 4. Tolerance to abiotic stresses (e.g. low soil nutrients, drought) 5. Suitability to major cropping systems (e.g. plant architecture, and maturity period).
6. Nutritional value and metabolitesImpact zones and major cropping systems four agro ecological zones
across Sub-Saharan Africa. Source: Sanginga (2012).
OBJECTIVES
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Redefinition of environments: Geographic Domain-Yam production systems
Current Suitability: CRP-Climate Change
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Prioritized Markets Positioning, Ghana 2013 – 2020
Market Fresh YAM Processed YamFood
Processed Yam Industry ingredients
EXPORT High (1) Medium (3) Medium High (2)
DOMESTIC High (1) High (1) High (1)
NICHE, HIGH VALUE High (1) Medium High (2) Medium (3)
MARKETS END USERS
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GEOGRAPHIC DOMAIN AND AGROECOLOGICAL ZONES
YAM PRODUCTION SYSTEMS (Human being, Environment and Yam)
Participatory Priority setting and Value chain strategy
Reduction of time to recommend screening protocols
PRE- BREEDING BREEDING
VARIETY DEVELOPMENT AND DELIVERING
Parents selection
Progenies selection
Traits Inheritance
Inbreeding
Phenotyping andGenotyping Spp.
Core collection and Core Diversity set
Inter-specific Hybridization
Aneuploidy
Re-
defin
ition
Of E
nviro
men
tsS
peed
ing
upth
e se
lect
ion
Kno
wle
dge
and
use
of d
iver
sity
STRUCTURE OF THE PROGRAM
Acc
eler
ate
adop
tion
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Redefinition of environments: Yam production systems
Characterization
Livelihood
• Food Security • Income Level • Income Flows • Employment • Poverty-capability • Well-being • Gender Effects Resilience
• Production Risk • Market Risk • Response to Shocks Natural Resources
Base
• Water Resources • Soil Resources • Forest Resources
•
Impact
Livelihood Strategies
Agricultural Intensification
Agricultural Extensification
Agricultural Diversification
Agricultural Specialization
Non-agricultural
Process of Change
Differentiated Social Actors
Livelihood Resources
Production System
• Weather (Rainfall and Temperature) • Soil Units scale less than 1:300.000 • Land use with yam species • Length Growing season
Economic Financial
• Savings and Loans • Productive Assets • Land • Labor • Markets Human
• Formal Education • Capabilities • Agency • Gender • Leadership • Values • Origin and Ethnicity • Family Characteristics Social:
• Participation and Role in Organizational Processes
• Personal Contacts • Influential People • Knowledge Sharing
Opportunities • Service Providers • Collective Action • Community Characteristics
Endow
men
ts and
En
titlem
ents
Support Institutions and
External Intervention
Development State
Livelihood Activities
Basic or Livelihood
Innovations
Process Innovations
Gottret and White (2001), Livelihood means
Soil map Yam production map
Poverty Level map
Rainfall map
Biophysical zones Production systems
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FARMERS’ CHARACTERISATION: TYPES….
TYPE 1.TYPE 2.TYPE 3.TYPE 4.
34 12
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TYPE 1 TYPE 2 TYPE 3 TYPE 40%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
WomenMen
GENDER
FARMERS’ CHARACTERISATION: TYPES….
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GENDER CATEGORIES
Women: Young Old
Men: Young Old
FARMERS’ CHARACTERISATION: TYPES…
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2 - 4 months
8-10 months10-20 seed for PT
Speeding up the selection: Reduction of time to develop
From 9 to 4 yrs
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Speeding up the selection: Screening protocols
NEMATODES
N.U.EANTHRACNOSE
EARLY- LATE MAT
DROUGHT TOLER
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INOCULATION METHODS
0 10 20 30 40 50 60 70 80 90 100
12 15 74 RTS
Pathogen survey Pathogen Diversity analysis More Virulent strains
TDa F1 selection 2011-2012
ANTRACHNOSE SCREENING PROTOCOL USING VINE CUTTING
Speeding up the selection: Screening protocols
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D. a
lata
and
D. r
otun
data
Improving meristem culture
D. a
lata
and
D. r
otun
data
Vine propagation
D. a
lata
and
D. r
otun
data
Minituber propagation
Propagation
Speeding up the selection: Screening protocols
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Years Phenotypic Selection at IITA5-year cycle, 9 years to release*
1 1000 crosses among (sexed diallel and general crossing blocks)
2 1500 seedlings; Two to Three month after sowing: F1C1 screened at screen house for:Anthracnose: 5 vines in vertical sacksViruses: 5 vines in vertical sacks Nematodes: 5 vines in vertical sacks Seed tuber production: 25-30 vines in vertical sacks
3 400 clones single 10 plants row, preliminary trial at IITA
4 100 clones in Family Replicated Trials (FRT), 10 m single row, three reps (staked and no staked system), three environments
5 30 clones, Advanced Trial (AT), four reps, 6 x 6 plants per plot; three environments. Selection of clones for inclusion in crosses
6 10 to 15 Nomination and Multiplication
7 10-15 Multilocational trials 10 localities
8 10-15 Multilocational trials 10 localities
9 3-5 Outstanding exceptional varieties Registration, multiplication and release
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rotundata 67%alata 25%bulbifera 2%cayenensis 2%dumetorum 1.6%esculenta 0.7%preusii 0.3%manganotiana 0.25%
3200 accessions – 1500 in vitro
Knowledge and use of diversity: Pre-breeding
METHODS USED (CONVENTIONAL AND MOLECULAR/GENOMICS-ASSISTED BREEDING )
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Latin America &Caribbeanaccessions
3,200 accessionsSource: Asiedu, 2010
Africa: 90-95% accessions
Asia:…..accessions
Pacific…..accessions
Knowledge and use of diversity: Pre-breeding
METHODS USED (CONVENTIONAL AND MOLECULAR/GENOMICS-ASSISTED BREEDING )
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Knowledge and use of diversity: Pre-breeding
Inter-specific HybridizationRefinement of embryo rescue techniques to improve efficiency of interspecific hybridization in IITA’s yam breeding scheme
Ovule culture obtained from crosses between species
D. alata D. rotundata
D. cayenensis
BreedingObjective
High susc. YAD,
inferior tuber
YAD resist. and good texture
Objective 2
Objective 3
Bulbils production
x Objective 4
Objective 3
x Long leaf area
duration
Objective 1
x Higher tuber
carotenoids content
Objective 1
Objective 6
Early maturityLonger tuber
dormancy
x Objective 2
Objective 5
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Inbreeding
Monoecious Haploids
Diallel crosses
Back crosses4120 Progenies
Anther cultureCharacterization of plant material
Flower size, anther size, anther color etc.
Investigation of suitable medium and culture condition
Growth regulator, yam powder, temperature
Anther, pollen and pollen tube growth
Knowledge and use of diversity: Pre-breeding
%
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Selection of Parents I
A core collection of 391 accessions from six species was defined on the basis of morphological characteristics.
Characterized using SSR markers separated into ploidy groups using flow cytometry.
Additional germplasm contributed by research partners in West Africa and materials identified from IITA’s field trials were also used as parental materials for crossing.
The characterization and evaluation of germplasm from these various sources for morphological and agronomic attributes, tuber quality, ploidy status, and flowering ability, etc. leaded to the selection as parents of accessions with traits relevant to the objectives of the program.
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• Screening for resistance to Meloidogyne species and Scutellonema bradys was also carried out.
• Evaluation of potential parental accessions for anthracnose resistance was based on symptom expression following inoculation with specific strains of Colletotrichum gloeosporioides.
• Similarly germplasm was challenged with specific yam viruses through mechanical or vector transmission, followed by observations of symptoms as well as ELISA and PCR tests.
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Knowledge and use of diversity: Pre-breeding
1. Metabolite profiling 1.1. (Dioscin): D. alata (15 accessions), D. dumetorum (14 accessions), and D.
bulbifera (6 accessions). However D. rotundata (12 accessions), D. mangenotiana (1 accession), D. praehensilis (2 accessions), D. cayenensis (5 accessions) : NO FOUND.
1.2. Secondary metabolite profile of 53 accessions of D. dumetorum , saponin, alkaloids, cardiac glycosides, terpenoids and steroids.
Generation of improved populations based o the diversity of the accessions
Phenotyping and Genotyping Spp.
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Knowledge and use of diversity: Pre-breeding
2. Host Plant Resistance
2.1. Host plant resistance to yam nematodes (D. dumetorum) and viruses (in D. alata and D. rotundata) were identified.
2.2. The genetic basis of the resistance to a Nigerian isolate of yam mosaic virus (YMV), genus Potyvirus.
2.3. Different sources of resistance to anthracnose have also been identified in previous studies at IITA and the genetic basis for the resistance to a major moderately virulent strain in Nigeria has been reported.
2.4. Botanical seed free of viruses
2.5. Breeding for viruses resistance
Phenotyping and Genotyping Spp.
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3. Response to soil nutrients and efficiency of nutrient use
4. Tuber food quality
4.1. Pasting characteristics of fresh yams as indicators of textural quality in a major food product
4.2. Sensory evaluation of ‘amala’ from Dioscorea alata 4.3. Physicochemical and pasting characterisation of Dioscorea alata100 Elite materials characterization
5. Tuber micronutrient density
5.1. Screening germplasm for tuber iron and zinc contents5.2. Tuber total carotenoids in Dioscorea cayenensis and Dioscorea dumetorum(New populations generated with selected parents from this screening)5.3. Influence of environment and genotype x environment interactions 5.4. Tuber tannin content 5.5. Tuber phytate content 5.6. Tuber ascorbic acid (Vitamin C) content5.7. Variation in nutrient retention during processing of yam into food products
Knowledge and use of diversity: Pre-breeding
Phenotyping and Genotyping Spp.
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Aneuploidy
1. DETERMINATION AND MANIPULATION OF PLOIDY LEVELS IN DOMESTICATED Dioscorea SPP (32 accessions of D. alata, 23 accessions of D. dumentorum and 32 accessions of D. rotundata)..
Colchicine treatment and interploid hybridization were employed in inducing new ploidy materials.
Generated populations under evaluation
2. Potential assessment of somatic polyploidization as a breeding tool to improve economical traits of guinea yams Dioscorea cayenensis and D. rotundata
To investigate optimum concentration of Colchicine: to start
Knowledge and use of diversity: Pre-breeding
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NEMATODES
N.U.EANTHRACNOSE
EARLY- LATE MAT
DROUGHT TOLER
Selection of Parents II :
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Parents and progenies selection
FAMILYIES REPLICATED TRIALS SEXED DIALLEL CROSSES
Full and half sib families (30-40)
Each family / 3 groups – 3 block
Data recorded each cloneSelection within each blockReps allow for a Statistical phenotypic selection (Gardner (1961)Replicated information for each familySelection Index (SI)
Information use to derive the relative values of the parents that generated the families
General Combining AbilityGCA
Specific Combining AbilitySCA
Additive
Dominance
Determination of breeding values of parental lines through the analysis of GCA = additive and SCA= heterotic, using a combination of monoecious and sexed diallel crosses
Selection of Parents II :
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• In this case superior clones male and female representing multiple traits are crossed using open pollination blocks. Multiple traits populations are generated to be screened using the through output protocols tested in different environments and also delivered to the national programmes. A new breeding cycle will be generated with the selected clones per population and intercrosses for a new cycle.
Half Sibs Modified Recurrent Selection (HSMRS)
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M
M M
M M
MF
1 2 3 4 5 6 7 8 9 10 11 12 13 141 28 8 23 18 26 7 21 25 17 9 22 4 18 262 25 27 11 12 10 6 20 1 15 5 24 13 9 143 22 14 15 9 16 4 13 14 23 12 2 27 11 254 20 3 24 19 5 2 18 3 6 7 8 19 10 165 17 2 7 1 6 8 10 9 13 4 3 20 6 216 21 18 16 4 3 7 13 21 17 11 15 1 5 237 12 13 6 10 11 5 14 1 3 9 24 7 2 108 1 14 23 19 9 22 15 25 16 6 10 8 22 39 24 8 20 1 17 27 3 12 20 14 19 12 18 11
10 10 15 26 7 11 2 21 10 5 7 28 9 17 2511 17 12 13 10 19 8 4 8 1 13 3 12 4 1612 21 4 18 5 22 15 26 5 18 15 7 23 1 413 8 23 6 20 14 9 17 11 19 21 16 6 14 2614 3 5 11 2 24 7 13 12 20 8 24 11 27 215 7 1 9 16 8 10 5 1 9 4 6 2 5 1816 10 17 3 2 1 14 6 13 17 1 22 15 3 1217 22 12 19 4 15 12 4 19 14 25 10 7 13 1918 25 14 6 21 28 18 7 8 5 18 11 23 16 819 24 11 20 13 9 10 2 3 13 12 4 14 20 1720 2 26 8 23 16 5 27 11 15 21 24 6 9 2
(HSMRS)
M
M M
M M
MFM
M M
M M
MF
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Full Sibs Modified Recurrent Selection (FSMRS)
• Paired crosses made between individuals in the population by season, best families and clones within families will be identified. The best clones after evaluations in different environments and the best families will be recombined for a new breeding cycle.
• Selected parents male and female crossed to generate by parental populations for target traits. Best families and clones within families are identified. The best clones after evaluations in different environments and the best families are recombined for a new breeding cycle.
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Recurrent selection among selfed families (monoecious
clones)• Evaluation based on self-pollinated progeny, formed by
one generation of selfing among several TDr monoecious clones.
• Season 1. So plants from the population are selfed and inter-crosses to produce So:1 full sib lines
• Season 2. So:1lines (clones) propagated using vine cutting
• Season 3. So:1 Evaluated, best lines selected from a family replicated trial (FRT); full sib lines will go for FSMRS and best selected from FRT.
• Season 4. Selected lines to be inter-crossed and selfed, producing the Cycle 1 population with new full sib lines.
• Season 5. Self new So plants as in Season 1….
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Parents and progenies selection
FAMILYIES REPLICATED TRIALS SEXED DIALLEL CROSSES
Full and half sib families (30-40)
Each family / 3 groups – 3 block
Data recorded each cloneSelection within each blockReps allow for a Statistical phenotypic selection (Gardner (1961)Replicated information for each familySelection Index (SI)
Information use to derive the relative values of the parents that generated the families
General Combining AbilityGCA
Specific Combining AbilitySCA
Additive
Dominance
Determination of breeding values of parental lines through the analysis of GCA = additive and SCA= heterotic, using a combination of monoecious and sexed diallel crosses
Knowledge and use of diversity: Pre-breeding
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Yam: USAID-Linkage projectFocus: Screening for anthracnose disease; development of additional markers; construction of linkage map; QTL mapping for anthracnose disease; de novo sequencing of parental lines; GBS of parents and progenies (Dioscorea alata)
Yam anthracnose symptom variation
Training: Christian Nwadili (PhD student, Nigeria); 1 IT studentPartnership: NRCRI, Nigeria; USDA-ARS, Stoneville, USA; Clemson University, Clemson, USA
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SSRs from EST-sequencesMore than 40,000 EST sequences: about 1152 SSRs developed
Three cDNA libraries sequenced on Roche 454
and assembled using CAP3
SSRFinder software for SSR discovery
BLASTx was used to screen SSR containing ESTs against non-
redundant DNA database
BLASTx data screened for presence of ribosomal, retro-element, GAG protein,
chloroplast, and mitochondrial SSRs
Identification of 1152 EST-SSRs and tested for polymorphism on two parents: - 523 markers were considered good (445 with single locus; 70 with two loci, maybe duplicated genes; 8 multi- allelic, indicating polyploidy) - 92 failed to work (10% failure) - 537 monomorphic - 388 out of 445 showed polymorphism (33.7%) when tested on both parents
Genotyping of parents and 94 mapping population progenies with 388 EST-SSRs
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Linkage mappingNHsB9_c14199_2_a0.0
Oc_93_a3.3Oc_2671_a3.6Oc_280_a5.6Wc_946_a7.7Oc_917_a8.1Oc_6126_a11.2
Os87_lrc4432_a11.8Wc_1531_a13.1
NHsA8_c4355_5_a13.2Wc_422_a13.7Oc_5893_a15.6Oc_3971_a17.2Oc_3766_b18.9Oc_5267_a36.0Oc_2822_b39.0Oc_6102_a39.2Oc_1655_a39.6Oc_1780_a39.9Oc_2567_a40.3Oc_1923_a40.4Os87_c878_a40.8Oc_3766_a40.9Oc_4872_aNHs87_lrc10426_a41.2Wc_983_a41.4Oc_2822_a41.5NHc_7064_aOs87_c8656_a41.6Ws87_c7372_a41.8Wc_5349_a42.0Oc_6095_a42.1
Os87_c10305_a42.3Oc_827_a42.4Wc_5951_aOc_3442_a42.5Oc_5145_aWc_3253_bOc_170_bOc_509_a42.6Wc_1217_a42.8Oc_5632_a42.9Wc_962_a43.0Wc_2471_b43.1Oc_5610_a43.3Oc_715_aOc_5427_a43.4
NHsA8_c11845_2_a43.6NHsA8_c10400_3_a43.7
NHc_4243_a43.8Oc_6940_a43.9Oc_5040_bOc_6673_a44.1
NHsA8_c12061_3_aNHc_3698_aOc_1852_a44.3
NHsB9_c15621_2_aWs87_lrc3111_a44.5Oc_5847_a44.6
NHsA8_c10860_2_a44.7OsA8_c9342_3_aOc_5183_b44.8
Oc_1889_a44.9Oc_119_aOc_3771_a45.1Wc_775_aOc_3705c45.2
OsA8_c8444_5_a45.4Oc_2415_aWc_1977_a45.6NHc_3405_a45.7NHc_1324_aOc_4996_b45.8Wc_3915_a46.0Oc_5440_aOc_238_a46.1NHc_116_a46.3Oc_582_a46.6Oc_108_bWc_4336_a46.9
NHsB9_c13279_2_a47.0NHs87_c4761_aWc_777_a47.5Oc_5164_aWc_2185c48.0NHc_5720_a48.8Oc_304_a49.4lrc7566cOsA8_c14521_2_a49.7
Oc_2743_a50.6Oc_2999_a60.5
OsA8_c12359_2_a62.5NHc_4781_a74.7NHc_7134_a75.8
NHsA8_c4909_5_a77.5Oc_246_b80.6
NHsA8_c12200_2_a82.3
LG 1 Oc_5890_a0.0
NHsA8_c8784_3_a18.9
Oc_525_a58.6Oc_907_a66.2NHsA8_c13798_2_a66.3Oc_5076_a68.5Oc_3321_a71.6NHsA8_c9294_2_a73.1Oc_913_a75.4Oc_3101_a77.3NHsA8_c12478_2_a78.1NHsA8_c6498_3_a82.1NHsB9_c12106_2_a85.3Oc_3462_b106.4
Oc_2340_a139.5
Oc_6191_a157.1
Wc_3404_a188.6
LG 2Oc_823_a0.0Oc_4253_a7.5Os87_lrc4228_b13.4Oc_5302_a29.8Oc_3618_b45.2NHc_4075_a49.8Wc_1200_a68.7Oc_809_a69.6Oc_3895_a71.1Oc_2852_a87.0Os87_c8742_a92.1NHc_4998c96.5Oc_3758c98.7Oc_5925_a110.4Oc_1099_a119.4Oc_425_a122.6Oc_4418_a134.0
Wc_4410_a164.7NHsA8_c4553_8_a166.1
LG 3Oc_4494_a0.0
Wc_1746_a36.2NHc_1817_a38.3OsA8_c2962_23_a43.3Oc_2051_a55.5Oc_6893_a63.8Oc_2985_a74.8Oc_232_a83.1Oc_2491_a92.8
Oc_2231_a110.6
Oc_5238_a133.7OsA8_c5428_4_a148.4Oc_3654_b159.0Ws87_c12398_a167.2
Oc_446_a200.6
LG 4OsA8_c14040_2_a0.0Oc_2390_a16.0
Oc_345_a33.6Oc_6956_a39.5
Wc_3230_a104.5Oc_4895c108.0NHsA8_c2056_3_a124.1
Os87_c4651_a142.3
OsB9_c15460_2_a162.7
NHc_451_b201.3
Oc_441_a230.4
LG 5Oc_3261_a0.0
NHsB9_c5688_4_a20.8
Oc_1444_a46.4Os87_lrc7943_a46.8
Oc_1547_a75.8
Wc_215_a91.9Oc_3189_a99.7
Os87_lrc10167_a116.4OsA8_c5283_4_a131.1
Os87_c937_a149.8Os87_lrc4003_a157.3NHc_3428c159.1Os87_lrc2126_a166.5Oc_44_a172.2NHc_7097_a183.9Oc_897_a192.7
LG 6Oc_4996_a0.0Oc_469_a1.5Wc_349_a11.5WsA8_c2862_10_a17.6NHs87_lrc10359_a19.7NHc_4375_a24.2Oc_5784_a31.1Oc_2093_a32.7Oc_7219_a37.8Wc_2749_a41.9Oc_3461_a61.8Oc_2019_a86.6NHc_3467_a94.1Oc_3981_a94.7
Oc_6374_a150.1Oc_6374_b151.1NHsA8_c10943_3_a157.1OsA8_c11757_2_a159.3Oc_5573_a162.5NHc_4316_a167.9Oc_4478_a176.6Oc_2445_a177.1NHsA8_c6591_5_a177.2
Oc_2244_a216.6Oc_2506_b222.6Oc_3284_b239.0
LG 7Wc_5986_a0.0Oc_798_a1.3Oc_5988_a4.5Oc_1893_a24.6Oc_1520_a28.7NHs87_c8985_a49.2Oc_315_a56.7Ws87_c5038_a61.0Oc_3418_a62.6Wc_3717_a68.4
Oc_587_a94.5Oc_1854_a115.1NHs87_c10016_a119.2Oc_6143_a127.2Oc_3139_a133.2Oc_2947_b138.6Oc_6057_a143.1NHsA8_c14662_2_a144.9Oc_4953_a147.4OsB9_c10038_2_a156.9
LG 8
Oc_649_b0.0Wc_3659_a1.7Os87_lrc4485_a6.2Oc_5781_a7.5Oc_1259_a9.2Oc_1191_a12.7Oc_6996_a14.0Oc_1786_a24.3Wc_2084_a38.7NHsB9_c12604_2_a51.2NHsB9_c9853_3_a63.2Oc_2473_a87.8Oc_214_a89.3Os87_lrc6408_a90.6Oc_3348_a91.9Oc_5843_a93.8Oc_6461_a95.2Oc_4677_b102.0Oc_2676_b110.2WC_4163_a133.9Ws87_c5895_a134.3
NHsB9_c9943_3_a166.6
Oc_2436c185.9
LG 9Oc_2918_a0.0NHc_5174_a6.0
OsA8_c8687_3_a24.5Oc_4913_a27.8Oc_5458_a36.9Oc_393_b48.6Wc_1967_a59.1Oc_5561_b67.6Wc_5485_a76.5Oc_6343_a79.5
Oc_2912_a109.5Oc_4870_b120.1Oc_437_a133.4
Oc_1712_a182.4
Wc_531_a201.5
LG 10Wc_1972_a0.0NHc_6686_a1.3Oc_3982_a1.9Wc_6827_a31.2OsA8_c6740_3_a32.1
NHc_2230_a54.7Oc_5813_a56.1NHsA8_c10398_2_a74.0Oc_4539_a92.4Oc_5164_b95.7Oc_4740_a96.5Oc_1949_a97.2Os87_c4229_a98.6Oc_4278_a101.1Oc_6227_a102.7Oc_808_a105.1Oc_2845_a125.9NHsB9_c8296_4_a142.7
LG 11NHsA8_c6820_3_a0.0NHs87_c7757_a5.9Oc_4934_a8.4Wc_1831_b12.4
Wc_5531_a42.6Oc_4153_a46.5Oc_5825_a52.1NHsB9_c12502_2_a63.6
Os87_c1577_a85.7Oc_4851_b95.0Oc_3279_a110.1Wc_5474_a125.0
Oc_3885_b148.9OsA8_c3957_8_a152.1Oc_586_a158.3NHc_2801_a162.6
Os87_c2260_a189.7Oc_5183_a198.1Oc_4843_a208.2
LG 12Oc_2590_a0.0
Wc_5598_a34.4Oc_7063_b35.2Oc_2034_a36.3Oc_5879_a47.1Oc_6261_b51.3
NHsB9_c11476_3_a88.8NHc_4784_a97.7Wc_3780_a104.5Oc_30_d106.7Oc_3780_b114.6Oc_1632_a119.1Oc_346_a126.4Oc_3374_a143.0
LG 13Oc_7240_b0.0Oc_1113_a2.9
Os87_c10557_a51.4Oc_2173c60.2Oc_5905_a71.2NHc_6655_a84.7Wc_1981_a97.0Oc_4536_b99.8Oc_2863_b104.3Oc_1176_a117.6Oc_6254_a121.0Oc_4606_a121.8Oc_81_a124.9NHsA8_c12375_2_a125.3Os87_lrc5487_a127.0Oc_5228_a129.5
Oc_1666_a155.5
NHsA8_c6374_5_a181.3
Oc_360_a199.8
Oc_5975_a218.5
LG 14
Oc_6746_a0.0
Oc_539_a25.9
OsA8_c11048_2_a75.9Os87_c10801_a80.3Os87_c4483_a81.2OsA8_c3639_17_a86.8
NHsA8_c14455_2_a110.7NHc_941_a113.4Os87_c12339_a115.0
NHsB9_c10590_2_a144.6
LG 15NHsB9_c11075_2_a0.0
Oc_2627_a34.3Oc_4881_a48.7OsA8_c1060_15_a56.1Oc_6491_a59.3
Wc_5539_a77.1
Oc_183c97.8Wc_5003_a100.6Oc_320_b112.5NHsB9_c12667_2_a114.9
Oc_594_b127.7
OsB9_c9685_3_a155.7Oc_3186_a169.9Oc_205_a173.6
Oc_2065_a195.0
LG 16Oc_5095_b0.0
Oc_5771_a25.7
Oc_2141_a58.1Oc_5707_a64.5
Oc_763_a108.0
Wc_7052_a135.2Oc_4329_a138.1
LG 17NHsB9_c13489_2_a0.0NHsA8_c11104_2_a12.3Ws87_lrc7506_a16.6
NHsA8_c13522_2_a*60.5
Wc_2196_b91.3Oc_2744_a93.2
LG 18Oc_2589_a0.0Oc_1165_ab6.0Oc_5127_a7.6Oc_1165_a9.2Oc_1165_ac10.3NHs87_lrc8239_a25.0
Oc_2547_a54.6
LG 19Oc_4991_a0.0
Oc_2132_a28.2Oc_664_a37.9Oc_5740_a42.6Oc_4055_a47.8
LG 20
- Total length: 3229.548 cM with 97 markers mapped on LG 1 and 6 markers in LG 20
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QTL analysis
Bhattacharjee et al (2015). SSR-based genetic linkage map and identification of QTL (s) for anthracnose disease in Dioscorea alata (under review)
Year Linkage group Marker interval Position interval LOD %var Pvalue(F)Significance level
Average
3oc_5302_a - Wc_1200_a 29.837 - 68.747 2.51 7.598 0.006075**11Wc_1972_a - Oc_2845_a 0 - 125.949 3.605 11.217 0.000656***12Wc_1831_b - Oc_4843_a 12.393 - 208.223 2.883 8.807 0.00285**14Os87_c10557_a - Oc_1666_a 51.393 - 155.473 4.964 15.985 4.14E-05***16NHsB9_c11075_2_a - Oc_2065_a 0 - 194.979 2.395 7.229 0.007675**
2013
LOD %var Pvalue(F) 1Oc_917_a - NHc_4781_a 8.076 - 74.710 4.038 9.303 0.000404***3oc_5302_a - Wc_1200_a 29.837 - 68.747 3.952 9.086 0.000477***
10NHc_5174_a - Wc_531_a 5.95 - 201.506 4.889 11.512 7.78E-05***11Wc_1972_a - Oc_2845_a 0 - 125.949 2.029 4.446 0.0197*12Wc_1831_b - Oc_4843_a 12.393 - 208.223 3.214 7.252 0.001991**14Os87_c10557_a - Oc_1666_a 51.393 - 155.473 5.716 13.747 1.57E-05***16NHsB9_c11075_2_a - Oc_2065_a 0 - 194.979 2.453 5.431 0.008679**
2012
LOD %var Pvalue(F) 1Oc_917_a - NHc_4781_a 8.076 - 74.710 2.569 7.952 0.006934**2Oc_3101_a - Wc_3404_a 77.318 - 188.567 2.257 6.932 0.012682*4Oc_232_a - Oc_2231_a 83.095 - 110.612 1.731 5.249 0.035067*7Oc_469_a - OsA8_c11757_2_a 1.544 - 159.330 2.086 6.38 0.017659*
11Wc_1972_a - Oc_2845_a 0 - 125.949 2.436 7.515 0.008971**14Os87_c10557_a - Oc_1666_a 51.393 - 155.473 4.14 13.333 0.000332***16NHsB9_c11075_2_a - Oc_2065_a 0 - 194.979 3.575 11.349 0.00099***
2011
LOD %var Pvalue(F) 3oc_5302_a - Wc_1200_a 29.837 - 68.747 2.578 8.852 0.00467**
12Wc_1831_b - Oc_4843_a 12.393 - 208.223 2.572 8.832 0.00472**14Os87_c10557_a - Oc_1666_a 51.393 - 155.473 1.775 5.975 0.02482*17Oc_5095_b - Oc_763_a 0 - 108.034 1.489 4.976 0.04506*
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Development of SSR markers in D. alata
Parent 1 vs Parent 22041 SSRs matched but
monomorphic572 SSRS matched
503 SSRs did not match to the other parent
Parent 2 vs Parent 12027 SSRs matched but
monomorphic573 SSRS matched
515 SSRs did not match to the other parent
Test results of 572 genomic-SSRs primers on Parent 1 and
Parent 292 monomorphic
468 polymorphic (82%)12 failed (2.1%)
Saski et al (2015). Development of genomic and molecular resources for water yam. Published in PLOS One journal
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GBS analysis
P2
P1
convert hapmap to
joinmap
Tolerance threshold
filterchi-sq test
Final output pass
tolerance, % missing, and
Chi-sq distribution
• Neighbor-Joining tree (no obvious clustering of resistance and susceptibility)
• Allelic diversity observed for the SNPs based on which individuals can be grouped
New computational pipeline developed
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Yam: CRPRTB complementary projectFocus: Genotyping by sequencing (GBS); high-throughput phenotyping (metabolomics);
morphological characterization; breeding applications (inter- and intra-specific crosses) Partnership: Cornell university, USA; Royal Holloway university laboratory, UK
810 D. rotundata genotypes selected (core collection = 470 landraces; breeding lines = 307 genotypes; varieties from markets = 33)
Pst I restriction enzyme to digest DNA GBS analysis completed on 553 genotypes using UNEAK analysis pipeline
Summary of TagPairs and resulting SNPs (before annotation with WGS)
6336738 total tags after merging HapMap SNPs (unfiltered): 4915 HapMap SNPs (filtered): 416
Summary (after annotation with WGS) (550 out of 553 sequences used)
Only 48% of GBS sequences mapped to reference genome (4531 scaffolds)
23760 SNPs recorded (unfiltered) 10950 SNPs (filtered)
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Phenotyping of GBS materials All 810 genotypes planted in an augmented design
using three checks Each tuber was cut into three sections (head, middle
and tail) for planting Planting in two locations including Ibadan and Ikenne,
in May and June, 2014 respectively Observations on following above ground traits such as:
- Days for germination (Earliness) - Number of vines per portion of the tuber - Pests and diseases (anthracnose, virus, and
nematodes) - Leaf shape and number of internodes - Flowering traits (monoecy, dioecy, no flowering)
For below ground observations: - Tuber number and shape - Tuber weight
Soil samples from around each tuber and sent for analysis
GBS Field Evaluation 2014, Ibadan
Male Inflorescenc
e
Female Inflorescenc
e
Monoecious
Fruits
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Leaf Shape and Area; SPAD; Stomata Density
Flowering Fruit bearing Viruses Anthracnose
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Phenotyping of GBS materials
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Phenotyping: ResultsVine number
Head (38%)
Middle (30%) Tail (32%)
Tuber number
Head (39%)
Middle (29%) Tail (32%)
Tuber yield/kg
Head (44.8%)Middle (26.6%)
Tail (28.5%)
Tuber portion
Flowering (female)
Fruiting (female)
Correlation
Head 115 51 0.443
Middle
74 31 0.419
Tail 76 31 0.407
Tuber portion
Vine number
Tuber number
Correlation
Head 1248 1048.9 0.84
Middle
984 776 0.788
Tail 1065 870.5 0.817
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Metabolomics 49 accessions from IITA breeding program 5 species (D. alata, D. bulbifera, D. cayenensis, D. dumetorum, D. rotundata) Tuber material (Head, middle and tail; selected leaf material)
10mg lyophilised tissue
phase separation
polar
standard extraction800ul MeOH:H2O (1:1)1hr @ RT800ul CHCl3
non-polar
GC-MS
LC-MS/MS (UP)LC-PDA/MS
Polar = up to ~500 features
Non-polar = up to ~300 features
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Metabolomics
D. rotundata clustered with wild relatives Non-polar analysis did not separate the species well Polar analysis showed good species variation Limited variation in all species except D. dumetorum and D. bulbeferaOne major outlier in TDd 3774 based on fatty acid profiles
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Support to yam breeding at IITA Genotyping of 333 core genotypes (alata and rotundata) and 200 crossing block
materials (alata, rotundata, dumetorum, bulbefera and cayenensis) using 100 SSR markers
Genotyping of 221 elite lines (D. rotundata = 50; D. alata = 73; D. dumetorum = 65; D. esculenta = 32; and D. cayenensis = 6) using 50 SSR markers
Genotyping of mapping populations - 4 female and 4 male (12 crosses and 460 progenies) (anthracnose)- 2 alata and 5 rotundata populations (YMV)
Genotyping of parents of inter- and intra-specific crosses- 6 female and 6 male (D. alata) (tuber shape)- 4 female and 6 male (D. alata), 2 female and 5 male (D. rotundata)
(monoecious plants)- 7 female and 4 male (D. rotundata) (high carotene content)- D. alata x D. rotundata; D. bulbefera (wild) x D. alata; D. rotundata x D.
cayenensis
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Results
Population structure and UPGMA clustering based on modified roger’s distances among 333 core accessions and 221 elite lines
Integration of genotypic and phenptypic data to assess pattern of genetic diversity
Complete genotyping of breeding populations
Genotyping with larger sets of molecular markers (SSRs and SNPs)
GWAS and genomic selection, where applicable
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Other projectsMAFF: Genotyping parents and mapping population progenies using SSRs and GBS for generating genetic maps and determine associations for traits related to nutrient use efficiencyTraining: 1 M.Sc. student (Nigeria); 1 M.Sc. student (Ghana); 1 Ph.D. student (Nigeria)
Trait of Interest
No. of female
No. of male Crosses Progenies
NUE 6 6
TDr 04-219
TDr Alumaco 24TDr 00/00362 29TDr 95/01932 629TDr 99/02562 23
TDr 89/02157 TDr 95/01932 16
TDr 89/02665
TDr Alumaco 23TDr 00/00362 2TDr 97/00777 16TDr 95/01932 4
TDr 97/00917 TDr 95/01932 37TDa 00/00194 TDa 02/00012 341TDa98/01166 TDa 02/00012 4
Additional 225 genotypes from Ghana (4 parents with 2 crosses and progenies)
A set of 150 SSRs are being tested on parents for polymorphism Two of the mapping populations parents and progenies will be sent for
GBS analysis at Clemson University
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Other projectsDetermination of ploidy levels in different Dioscorea sps. (Dr. Jaroslav’s lab, Czech Republic)
TDc 4712; 2n = 6x = 60 TDd 3106; 2n = 6x = 60
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Other initiatives Whole genome sequencing of Dioscorea rotundata completed; re-
sequencing of additional 10 lines completed; RAD-sequencing of mapping population for sex completed
The Genome Analysis Center (TGAC): transcriptomic analysis (RNAseq and small RNAseq) for
anthracnose disease; DNAseq of parents and the pathogen (Colletotrichum gloesporoides)
- Leaf samples from non-infested and infested plants (resistant and susceptible parent; and 4 progenies: HR, MR, R and S)
- DNAseq of resistant parent (250 bp forward and reverse reads) - Genome assembly using the new DISOCOVAR de novo workflow
African Orphan Crops Consortia (AOCC): Agreement signed between IITA and ICRAF for DNA
sequencing and re-sequencing of three Dioscorea spp. - D. dumetorum (whole genome sequencing)- D. alata, D. rotundata and D. dumetorum (Re-sequencing of 100
lines each)
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FIELD BOOK: TRIAL DESCRIPTION
PLANTING DATE HARVEST DATE
PROJECT CODE YEAR
FORM No
TRIAL TYPE
SITE CODE YEAR MONT
H DAY YEAR MONTH DAY
1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
OTHER CODES
DAYS IN CYCLE
PLANTS / PLOT
PLANTS / HARVESTED PLOT
HARVESTED AREA (M2)
EXPTL ENTRIES/
TRIAL
CHECK
ENTRIES/TR
IAL
YAM SPECI
E
* 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
TRIAL TYPE SITE YAM SPECIE01 CORE COLLECTION 08 ADVANCED YIELD TRIAL 01 IBADAN 07 01 TDr
02 POLYCROSS 09 REGIONAL TRIAL 02 ABUJA 08 02 TDa
03 CONTROLLED CROSS 10 PVS TRIAL 03 UBIAJA 09 03 TDd
04 F₁ 11 OTHER BREEDING TRIAL 04 IKENNE 10 04 TDc
05 F₁C₁ 12 SEED INCREASE 05 MOKWA 11 05 TDb
06 SINGLE ROW TRIAL 13 THESIS 06 KANO 12 06 TDsc
07 PRELIMINARY YIELD TRIAL 07 INTER spp
08 OTHER
DATA MANAGEMENT METHODS
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Fact
or 2
(34.
1%)
-1.0
-0.6
-0.2
0.2
0.6
1.0
Factor 1 (54.8%)-1.0 -0.6 -0.2 0.2 0.6 1.0
TDa_02/00092
TDa_02/00151
TDa_03/00010
TDa_03/00132
TDa_03/00135
TDa_03/00203
TDa_03/00275
TDa_03/00497
TDa_03/00544TDa_07/00003
TDa_07/00026TDa_07/00032
TDa_07/00038
TDa_07/00062
TDa_07/00081
TDa_07/00125TDa_07/00126
TDa_07/00128
TDa_07/00131TDa_07/00133
TDa_07/00141
TDa_07/00146TDa_07/00147
TDa_98/01176
Abuja Ikenne
Ubiaja
AMMI TDA Yield From a RCBD Parents and progenies selection
DATA MANAGEMENT METHODS
15 years of breeding data• Parents• Progenies
Genetic Gain
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Parents and progenies selection
FAMILYIES REPLICATED TRIALS SEXED DIALLEL CROSSES
Full and half sib families (30-40)
Each family / 3 groups – 3 block
Data recorded each cloneSelection within each blockReps allow for a Statistical phenotypic selection (Gardner (1961)Replicated information for each familySelection Index (SI)
Information use to derive the relative values of the parents that generated the families
General Combining AbilityGCA
Specific Combining AbilitySCA
Additive
Dominance
Determination of breeding values of parental lines through the analysis of GCA = additive and SCA= heterotic, using a combination of monoecious and sexed diallel crosses
DATA MANAGEMENT METHODS
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A. Selection of half-sib families based on progeny tests. Example: i) OP seed used to establish tests, ii) orchard is not rogued, iii) but on the basis of progeny tests, seed collections are made only from healthy plants. Predicted gain is specific to that directed seed collection. B. Linear Model for Observations (Assume OP, RCB progeny test) yijkl = µy + Ei + Bij + fk + feik + pijk + eijkl where µy, Ei, Bij = fixed effects for overall mean, test, and block fk, feik, pijk, eijkl = random effects for family, family x environment, plot and within-plot (random effects have expected values of zero and some variance) The covariances between all pairs of factors are assumed zero, Σ Ei = 0, and Σ Bij in any one test = 0. C. Prediction Equation 1. Observational unit is half sib family mean (..k.) y¯..k. = µy + fk + (fe.k/t) + (p..k/tb) + (e..k./tbn)
DATA MANAGEMENT METHODS
Family Selection from FRT and OP Crossing Blocks
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LOGISTIC REGRESSION ANALYSIS
DATA MANAGEMENT METHODS
FARMERS’ PVS
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FARMERS’ PVS
DATA MANAGEMENT METHODS
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DATA MANAGEMENT METHODS
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PRODUCTION AND MAINTENANCE OF SEED FOR TRIALS AND OF BREEDER (PRE-BASIC) SEED OF RELEASED VARIETIES
TRIALS and BREEDER SEED
1. MINISET TECHNIQUE (50-70 g) To produce : YAM SEED (150-200)
2. VERTICAL SACKS: Vine cutting to produce 80 -100g YAM SEED
RELEASED VARIETIES
1. IN VITRO MAINTENANCE, GRC2. CLEANING FOR VIRUSES
-Establishment of virus-free clones of landrace and breeding collection -Characterization of viruses infecting yams in West Africa-Surveys for incidence and prevalence of major pest and diseases in West Africa -Development of versatile diagnostic tools for all the major yam infecting viruses in West Africa -Characterization of YMV in D. rotundata diversity set -Phenotyping germplasm and mapping populations for YMV resistance, and understanding genetic and molecular basis of host-virus interactions (mechanisms) -Phenotyping germplasm and landraces for anthracnose resistance -Understanding etiology and rate of seed yam degeneration, including modes and rate of virus infections -Deep sequencing of smallRNA profiles for discovery of viruses in yam, including the impact of integrated badnaviruses
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USE OF MECHANIZATION AND AUTOMATION INCLUDING ELECTRONIC DATA CAPTURE
1. Land preparation: depth, tuber growth2. Drip irrigation system at SH3. SPAD4. Tablet and Hard copy field book5. In process: Bar code system, Breeding platform
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USE OF BREEDING MANAGEMENT SYSTEM OF THE INTEGRATED BREEDING PLATFORM.
Data from 2001-2010 in migration process
Use of Yam Ontology
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PARTNERSHIPBIOTECHNOLOGY
AND GENETIC IMPROVEMENT
PLANT PROTECTION AND HEALTH
SOCIAL SCIENCES AND
COMMERCIALIZATION
NATURAL RESOURCES
MANAGEMENT
GDT, JIRCAS, IBRC, USDA, GBIFCORNELL UNIV.MISSISIP. UNIV.TOKYO U. AGRICCIRAD-IRDINIVIT-CUBANARSCG-CIAT-CIPNRI-UKMOFA-JapanJHI-UK....
CIRADITCFAOFOOD INDUSTRYMOTI-GHANAM. OF AGRIC.NRI-UKNARESPRIMLAKSYOUTH-IITA.......
NARESPL. PRTC. AGENUC – DAVISNRI-UKUI..........
TOKYO U.AGRICNARESMAFF-JAPAN........
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Partners (Genomics)- USDA-ARS, Mississippi, USA- Clemson University, USA- Virginia State University, USA- Iwate Biotechnology Research Center, Japan- JIRCAS, Japan- The Genome Analysis Center, UK- African Orphan Crops Consortium: ICRAF, Nairobi and UC Davis, USA- Royal Holloway University of London, UK- Institute of Experimental Botany, Czech Republic
- Michigan State University
PARTNERSHIP
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RESOURCES
HUMAN CAPITAL
IRS
1. A. Lopez-Montes2. Asrat Amele3. David DeKoeyer4. R. Bhattacharjee5. Saini Himanchu
NRS
6. Edemodu Alex, Res. Assoc.7. Adeosun Tunde, Res. Officer8. Partick Ezighi, Res. Superv.9. Sunday Olajide, Technician10.Kola Odelade, Field assist.11. Nurudin, Pollinator12.Kabiru Ganiyu, Pollinator8. Adewumi Adeyinka , Res. Assoc9. Adejuwon Ebunutti, Technician
FINANCIAL CAPITAL
1. CG-Consor. 2005-2015 - 50 -100K to < 30K operative - 1 IRS and 6 NRS
2. Bilateral 2012-2015 - MAFF Jap. ~ 230K (Breed/SF) - YIIFSWA- 12.5 M ~ 300K (PVS) - AF. YAM. 13.5 M. Breeding - MOFA Jap: 50-100K Breeding - TUA: < 20K Breeding - JIRCAS: < 10K Breeding - IFAD : 130K Breeding - ITC : 50K - PRIMLAKS: 40K.
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Achievements over the last decade (international exchange of germplasm; genetic gain realised; varieties released by partners; important traits added to improve resilience or end-user preference; parents used by private sector; area under improved varieties from program)
IITA designation Species Year of Release
TDa 98/01166 Dioscorea alata 2008TDa 98/01168 Dioscorea alata 2008TDa 98/01176 Dioscorea alata 2008TDa 00/00104 Dioscorea alata 2009TDa 00/00194 Dioscorea alata 2009TDr 89/02602 Dioscorea
rotundata2009
TDr 89/02660 Dioscorea rotundata
2009
TDr 95/19158 Dioscorea rotundata
2009
TDr 89/02475 Dioscorea rotundata
2010
TDr 95/19177 Dioscorea rotundata
2010
TDa 00/00364 Dioscorea alata 2010
Eleven (11) IITA-bred yam varieties officially released in Nigeria in 2008, 2009 and 2010
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Distributed in Benin
The D. alata genotypes include (10): TDa 98/01166, TDa 99/01169, TDa 01/00012, TDa 01/00018, TDa 00/00064, TDa 01/00090, TDa 98/01168, TDa 01/00092, and TDa 00/00103 (introduced from IITA), and Florido (introduced from Puerto Rico).
Among the selected D. rotundata are (6): TDr 747, TDr 99/00632, TDr 95/19158, TDr 95/11531, TDr 89/00665 and TDr 95/18544 (introduced from IITA).
Distributed in Togo
two D. rotundata varieties (TDr 89/02665 and TDr 747) Popularization of ‘Florido’, an introduced D. alata which originated from Puerto Rico.Three other IITA developed varieties comprising of two D. rotundata (TDr 95/19156 and TDr 97/00903), and one D. alata (TDa 99/01169)
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GHANA 2005
Three new varieties – CRI Pona, CRI Kukrupa and Mankrong Pona (TDr 89/02665)
COTE D’ Ivoire, 2012
RegisteredD. rotundataTDr 89/02475TDr 89/02565TDr 89/02665TDr 95/01864TDr 95/18544TDr 95/19156TDr 95/19127TDr 95/19177TDr 96/00629
D. alata TDa 98/01166TDa 98/01176
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Production System
Ware Seed, and
Subsistence Yam
EnvironmentDrought
Environment
Localities Abakaliki, Ebonyi stateTegina, Niger State Iseyin, Oyo State
Staked/No staked Kg/ha
Staked No staked Staked No staked Staked No staked Staked Staked Staked No staked Staked
AVG best five improved lines 10101 10610 32100 28940 6740 5420 6932 1131 10130 8051 9848AVG released variety (TDr 89/02265) 13667 6111 46200 46000 10700 5000 5933 1675 6000 611 11650AVG Local and national landraces as Checks
4436 2897 15640 13660 3333 3500 4980 418 3763 4302 6079
% of Yield Increase from improved lines on Local checks
128 266 105 112 102 55 39 170 169 87 62
% of Yield Increase from improved lines on released variety check
-26 74 -31 -37 -37 8 17 -33 69 1218 -15
Ware Yam Production System
Low Fertility Soil environment
Ware and Seed Yam Production System
Igbariam, Anambra state
Zaki Biam, Benue state Makurdi, Benue state Oria-Iluchi, Edo state
Low Fertility Soil environment
PVS_YIIFSWA NIGERIA, 2012-2015
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Production SystemEnvironmentLocalitiesAVG best five improved lines Kg/ha 14628 10970 7090 7997 7700AVG Local and national landraces as Checks Kg/ha 6423 6480 5250 6022 5148AVG released varieties Kg/ha
TDr 89/02265 3127 TDr 89/02265 1133 TDr 89/02265 6333 TDr 89/02665 9650 TDr 89/02265 5100
% of Yield Increase from improved lines on Local checks 128 69 35 33 50% of Yield Increase from improved lines on released variety 368 868 12 -17 51
TOLON SAVELUGU EJURA ATEBUBU KINGTAMPO Low fertility soil Drought Low fertility soil
Yam No-Staked system Yam staked system
PVS_YIIFSWA GHANA, 2012-2015
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SELECTED CLONES’ TRAITS (TUBERS) BY FARMERS
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SELECTED CLONES’ TRAITS ABOVE GROUND BY FARMERS
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2 - 4 months
8-10 months10-20 seed for PT
Speeding up the selection: Reduction of time to develop
From 9 to 4 yrs
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NEMATODES
N.U.EANTHRACNOSE
EARLY- LATE MAT
DROUGHT TOLER
Achievement: Selection of Parents II :
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D. rotundata: 16 Parents of populations with three years data422 clones in mapping populations including the parents with three years data10 clones under re-sequentiation with more than three years data70 clones actually in crossing blocks, with data of flowering and other traits for more than 5 years 150 elite clones with 8 years data200 clones in Advanced yield trials with three years data100 clones in preliminary yield trials with two years data100 clones in family replicated trials with three years data500 F1C1 Clones with one year data700 clones from core collection with 5-10 years data. To be confirmed Total = 2268 from the first year of the project D. alata 8 parents of popluations with three years data2 parents under sequentiation for anthracnose resistance200 clones in three mapping population including the parents with three years data50 clones actually in crossing blocks with data of flowering and other traits for more than 5 years 150 elite clones with 8 years data190 clones in Advanced yield trials with three years data150 clones in preliminary yield trials with two years data110 clones in family replicated trials with three years data500 F1C1 Clones with one year data500 clones from core collection with 5-10 years data.. To be confirmed
POPULATIONS AND ELITE MATERIAL
YIIFSWA: 23 EliteAFRICA YAM: SeveralJIRCAS: Earliness
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** Development of Genomic Simple Sequence Repeat Markers for Yam. Crop science, vol. 55, september– october 2015
** Yam Genome sequence: Submitted to Nature-Genetic
** Three TDr Varieties for Yam Fries-PRIMLAKS
** Three TDr Varieties for yam Flour- PRIMLAKS
** Ten TDa Varieties for ICE Cream – Fan-MILK
** Interspecific Hybrids
** PVS Methodology for Yam** Yam Ontology** 1000 Progenies to INIVIT-Cuba
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CONSTRAINTS AND MITIGATION PLAN
1. HUMAN CAPITAL - Capacity building - Increase – quality - Breeder by specie
2. FACILITES AND EQUIPMENT - Management strategy-fund raising
3. PREBREEDING - IRS, Univ.-partnership for research - GRC
4. BREEDING - Capacity building: Africa yam - IRS, Univ, Private setcor-Partnership - Fund raising
5. . VARIETY DEVELOPMENT-DELIVERING - Strengthening community of practice - Release system-inclusive -Market oriented-Participatory
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Accelerate adoption : Variety Development and Delivering
Variety Development
NARIs to selectF1C1 and PT
PVS
FarmersProcessorsHouseholdsTradersIndustry
P. Systems
RELEASE
Delivering = National Systems
Proposed action plan
1. Priority setting for yam at country level
2. Yam breeding process
3. Capacity Building and research process
To make a significant improvement in yam breeding with NARS partners
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RE-DEFINITIONOF ENVIROMENTS
ACCELERATE ADOPTION
KNOWLEDGE AND USE OF DIVERSITY
SPEEDING UPTHE
SELECTION
IITA’s STRATEGICOBJECTIVE 1
F. SECURITY
IITA’s STRATEGICOBJECTIVE 3
SUST. NRM
IITA’s STRATEGICOBJECTIVE 2
F. PROFITABILITY
Future Vision
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Priority activities and expected outputs in the next 3-5 years Priority activities 1. Renovate the collaboration and the MoU terms between IITA and yam producers countries2. To develop a n implementation plan for yam breeding for each country3. Genome sequence of TDr and TDa4. GBS for actual parents5. Start a new breeding cycle in 2014 using GCA and SCA6. Determine feasibility of genomic selection7. Develop bi-parental and multi-traits population for TDa, TDr, TDd8. Deliver at least 20 clones per year (starting in 2015) to Nigeria, Ghana, Benin, Togo and Ivory Coast to be tested in pre-released trials. Seed set will be produced in 2014 9. To support PVS-Yam establishment in West African countries
Expected outputs 1. Marker assisted and genomic selection is feasible and
2. Number of released varieties in Nigeria, Ghana and Ivory Coast is increased at least one variety per year
3. Breeding cycled reduce from 5 to 2 years
4. Multi-traits population delivered
5. Yam breeding programs in Nigeria and Ghana Strengthened 6. Released varieties are selected by farmers and breeders trough PVS
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Future VisionITA aims to lead an inclusive global consortium of partners to
effectively develop and apply modern approaches to yam breeding and the deployment of novel varieties.
West Africa is the most important geographic region for the research
Work in other regions will increase, especially through partnership with national and regional agencies.
East and Central Africa; Latin America & Caribbean; and the Asia-Pacific region.
Dioscorea rotundata (most cultivated yam species) and D. alata (the most cosmopolitan) will continue to receive the most attention
Partners in other regions would be supported with species-neutral technologies for other species that may be specific or more important in their regions.
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Future Vision1. Increase the germplasm collection, efficient evaluation2. Increased emphasis on complex traits Higher yield, Postharvest losses Early bulking, NUE, Drought tolerance Viruses resistance, Easy propagation by vine Value addition traits- starch types-quality Exploring the advantages of inbreeding in monoecious: unveil recessive3. Efficient Methods for the improvement of complex traits
4. Use of appropriate Breeding tools to improve Genetic Gain, incorporating farmers criteria from early generations5. National systems using participatory yam breeding approach 6. Use of genome sequence data to generate useful genetic information to increase speed and precision of breeding programmes.
To generate databases for whole genome annotationTo effectively mine information from the available WGSTo connect genotype-phenotype through the integration of linkage mapping and association analysis.
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Future Vision
7. Molecular characterization of germplasm
Fingerprinting of accessions to definitively identify genetic diversity in the collection and to screen incoming germplasm for uniqueness
Identification of diverse parents for key traits to develop populations to feed into the breeding programmes
8. Conservation and characterization of crop wild relatives and their use in introgression programmes
9. Enhanced phenotyping methods for key traitsThere is a need to use high throughput phenotyping techniques such as metabolomics, to enhance the multispecies potential of Dioscorea
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Future Vision
10. Availability of mapping populationsThe most straight forward way of finding the quantitative trait loci (QTL) underlying traits that are of interest in yam breeding (diseases, quality, etc) is through genetic linkage analysis.
11. Setting the stage for genomic selectionExperiences can be shared between yam and cassava breeding program at IITA, which is already implementing genomic selection.
12. Clean yam systems
To generate virus-free planting materials for free movement of germplasm across borders.
13. Use of tissue culture techniques/transformation To assist crop improvement like genetic transformation, embryo rescue, chromosome doubling.To produce further variations in Dioscorea species, inter-specific hybridization Anther culture can be used to produce homozygous – haploids
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Future Vision14. Core competencies and Partnerships
Many strong partnerships have already been developed between IITA and West African NARS, which needs to be strengthened and aligned with the objectives above and different breeding programs of NARS.
At the same time global partnerships (including, as examples, India and the Pacific) need to be developed which will allow more rapid progress through the sharing of information, germplasm and expertise
Working together to enhance both side capacities
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TEAMBIOTECHNOLOGY
AND GENETIC IMPROVEMENT
PLANT PROTECTION AND HEALTH
SOCIAL SCIENCES AND
COMMERCIALIZATION
NATURAL RESOURCES
MANAGEMENT
M. AbbertonR. BhattacharjeeA. Lopez-MontesG. BadaraN. MaroyaB. AighewiT. GirmaH. Kikuno (2012)A. AmeleD. DeKoeyer
R. MatsumotoK. Yukiko
M. DjanaA. TahirouM. Dixon
L. KumarD. CoyneR. BandiopadhayJ. Augusto
S. HauserJ. Martin
R. Matsumoto
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TEAM and CAPACITIESThe essential requirements for IITA to create the ‘best modern breeding program for yam include:
Well trained and motivated human resources
Adequate and modern field and laboratory facilities and equipment
Capacity for: bioinformatics and application of genomic tools, modern pre-breeding approaches, application of modern approaches to linking phenotype-genotype, mass propagation and reliable virus cleaning, efficient and accurate data collection.
Capacity to store, manage and analyze large data sets including development of a user-friendly yam database, and the curation and management of the database (similar to cassavabase or using the same platform)
Effective collaboration with other scientists or partnerships with relevant advanced research institutes
Effective strategies and methods for breeding based on modern and more efficient tools
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THANKS
Future Vision