18
UE-PRASAC project for sustainable cassava production in Central Africa DCI-FOOD/2010/46 Marie France Duval, CIRAD-AGAP, Clotilde Abessolo-Meye, IRAF, Françoise Romaine Otabo, CERAG Genetic diversity of Central African landraces

UE-PRASAC projectfor sustainablecassavaproduction in Central Africagcp21.org/.../Duval-Cassava-diversity-Prasac-project.pdf · 2016. 5. 25. · Introduced in Central Africa (Congo

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

  • UE-PRASAC project for

    sustainable cassava production

    in Central AfricaDCI-FOOD/2010/46

    Marie France Duval, CIRAD-AGAP, Clotilde Abessolo-Meye, IRAF,

    Françoise Romaine Otabo, CERAG

    Genetic diversity of Central African landraces

  • Introduced in Central Africa (Congo estuary) from Brazil by

    Portuguese in early XVIIth century (1611)

    Cassava (Manihot esculenta) in the CEMAC region

    Africa

    56%

    America

    14%

    Asia

    30%

    Oceania

    0,07%

    26% in Central Africa

    (RDC, Angola)

    Pays CEMAC Production en Tonnes Pourcentage

    Cameroon 3 900 000 61.5%

    Congo 1 150 000 18.1%

    Gabon 292 415 4.6%

    Equatorian Guinea 66 000 1%

    Centrafrica 706 111 11.1%

    Tchad 230 000 3.6%

    Total 6 344 526 100%

    150 Mt

    Nowadays a staple ensuring food security and small producers

    livelihood

    Low yield,

    Biotic threats (viruses, bacteria..)

    Organizational problems (transport, markets…)

  • Objective : to increase cassava productivity in sustainable

    cropping systems and to improve post harvest conservation

    and processing

    UE EuropAid DCI-Food project:

    Sustainable production of cassava

    in Central Africa for local markets

    Pôle Régional de

    recherche

    Appliquée au

    développement

    des Systèmes

    Agricoles

    d’Afrique Centrale

    CIRAD (France)

    DGRST (Congo)

    Université de Ngaoundéré (Cameroon)

    ITRAD (Tchad)

    Université de Bangui (Centrafrique)

    IRAF (Gabon)

    To conduct surveys, polls and inventories in order to establish

    diagnosis of the cropping systems, processes and markets

    Participative design of new sustainable systems with farmers and

    processors

    To strengthen the national research centers’ capacities

  • UE EuropAid DCI-Food project:

    Sustainable production of cassava

    in Central Africa for local markets

    Work Package Leader

    WP1: Project management PRASAC

    WP2: Knowledge and use of

    landraces

    CERAG (Congo) and CIRAD (France)

    WP3: Knowledge and improvement

    of cassava cropping systems

    ITRAD (Tchad) and IRAD (Cameroon,

    associated partner)

    WP4: Diseases and pests control CERAG (Congo) and IITA (associated

    partner)

    WP5: Improvement of products

    quality for different uses and markets

    ENSAI, Université de Ngaoundéré

    (Cameroon)

    WP6: Strengthening of technical and

    research capacities in the CEMAC

    region

    Université de Bangui (Centrafrica)

  • UE EuropAid DCI-Food project:

    Sustainable production of cassava

    in Central Africa for local markets

    WP2: Knowledge and use of landraces

    WP5: Improvement of products quality for different uses

    and markets

    WP6: Strengthening of technical and research capacities in

    the CEMAC region

    Molecular characterization and diversity assessment Montpellier

    Breeding through somatic hybridization Montpellier

    Biochemical characterization of landraces Montpellier

    Processes diagnosis (support)

    Student tutoringOne Master student in Molecular Genetics, Montpellier 2013, 6 months

    One PhD student, Molecular Genetics, Montpellier 2013-2014- 2 x 6

    months

    One PhD student, Genetics and breeding 2014- 3 months

  • UE EuropAid DCI-Food project:

    Sustainable production of cassava

    in Central Africa for local markets

    WP2: Knowledge and use of landraces

    - Inventory and description of the Central African landraces (passeport

    data, agromorphological description, cultural practices and uses)

    - Germplasm diversity (agronomic evaluation, molecular characterization)

    - Participatory selection of elite material and dissemination

    - Establisment of a regional germplasm bank (CERAG, Congo)

    - Breeding

  • Landraces sampling

    Selection of productions sites in different agro-ecological zones10 villages visited / site

    15 households per village

    Inventory of named landraces = varieties collection

    Morphological description, inquiry about associated cultural practices and

    uses completed for each variety

    109

    accessions

    49 accessions

    21 accessions

    102

    accessions

    469

    accessions 750

    accessions

    Knowledge and use of landraces

    HC4

  • Diapositive 7

    HC4 Les chiffres des accessions se sont décalés par rapport à la carteCHAIR; 06/06/2014

  • Knowledge and use of landraces

    K1 S1 W1 R11 Ka K2 S5 W7 R12 Ka K3 S2 W9 R2 Ka K4 S7 W8 R3

    SSRY282 SSRY268 SSRY240 SSRY66 SSRY100 SSRY100 SSRY100 SSRY100 SSRY100 SSRY175 SSRY93 SSRY76 SSRY8 SSRY31 SSRY68 SSRY31 SSRY44

    SSRY66 SSRY269 SSRY40 SSRY92 SSRY291 SSRY291 SSRY291 R9 SSRY152 SSRY210 SSRY8 R5 SSRY149 SSRY149

    SSRY160 SSRY53

    SSRY192 SSRY92 SSRY9 SSRY9 SSRY182 SSRY182 SSRY124 SSRY100 SSRY329 SSRY43 SSRY151 SSRY76 SSRY288 SSRY31 SSRY179 SSRY57

    SSRY313 SSRY60 SSRY313 SSRY155 SSRY155 SSRY155 SSRY155 SSRY219 SSRY64 SSRY175

    R8SSRY53 SSRY179

    EME222 R2

    SSRY269 SSRY51 SSRY66

    SSRY51

    SSRY88 SSRY88 SSRY88 SSRY49 SSRY79 SSRY329

    SSRY26

    SSRY160 SSRY160

    SSRY58

    SSRY92 SSRY192 SSRY192 SSRY39 SSRY39 SSRY39 SSRY151 SSRY45 SSRY219 SSRY109 SSRY179 EME415 W4

    SSRY360 SSRY13 SSRY92 SSRY55 SSRY55 SSRY55 SSRY55 SSRY8 SSRY26 SSRY152 SSRY76 SSRY262 EME222 SSRY44

    SSRY13 SSRY66 SSRY269 SSRY253 SSRY253 SSRY253 SSRY26 SSRY109 SSRY85 SSRY151 SSRY151 SSRY58 NS248 SSRY58

    SSRY51 SSRY313 SSRY268 SSRY317 SSRY317 SSRY317 SSRY32 SSRY274 EME373_

    3

    SSRY80 NS978

    SSRY80

    SSRY268 SSRY282 EME343 SSRY323 SSRY323 SSRY102 SSRY102 SSRY274 SSRY32 EME257 SSRY157 NS22 EME222

    SSRY10 EME205 EME118 SSRY158 SSRY158 EME628 SSRY109 SSRY8 EME182 SSRY44 NS945 EME203

    SSRY233 EME309 EME162 NS170 EME11 NS1017 SSRY45 SSRY151 EME332 NS945 NS946 EME259

    SSRY59EME424

    EME98

    SSRY59

    NS587 EME170 SSRY79/SSRY

    64

    SSRY175 NS80

    SSRY64

    NS946 NS1068

    SSRY200 EME489 EME353 NS664 EME254 SSRY43 SSRY49 NS1019 NS193 NS193

    SSRY60 EME62 EME424 NS33 EME628 SSRY210 SSRY219 NS898 NS898

    EME309 EME321 EME272 EME11 NS664 SSRY93 SSRY329 W13 NS78 NS78

    EME424 EME81 EME309 EME628 NS33 NS622 SSRY152 SSRY93 NS1068

    EME353 EME412 NS30 EME189 NS587 NS78 EME319 EME319 NS194 S16

    EME162 EME162 W22 EME254 NS170 NS1052 EME246 EME635 NS271 SSRY53

    EME118 EME118 SSRY10 EME170 EME373-3 EME46 NS141 SSRY228

    EME62 NS1045 W25 EME59 EME635 EME222 SSRY262

    EME81 NS30 EME280 EME164 EME20 EME22 SSRY80

    EME195 S11 EME657 EME713 EME259 SSRY58

    EME205 SSRY59 EME512 EME657 EME203 EME22

    EME280 SSRY10 EME20 EME164 ESSR13 EME203

    EME321 EME195 EME46 EME59 EME259

    EME489 EME280 EME246 EME332 K5 NS194

    EME412 EME319 EME373 SSRY68 S14

    NS30 EME635 NS178 SSRY44

    NS1045 EME713 NS622 SSRY157

    EME332 NS1052

    NS1019

    K6 S3 W3 Ka K9 S15 W20 K11 S12 W15 Ka K13 S8 W10 R4

    SSRY75 SSRY180 SSRY265 SSRY74 SSRY177 SSRY177 SSRY83 SSRY12 SSRY12 SSRY12 SSRY27 SSRY27 SSRY27 SSRY27

    SSRY246 SSRY123 SSRY252 SSRY170 NS781 SSRY12 EME303 SSRY48 R5 EME177 EME177 EME177 SSRY250

    SSRY72 SSRY143 SSRY94 SSRY168 NS371 SSRY276SSRY91 SSRY52 SSRY52 SSRY52 SSRY250 SSRY250 EME710 NS720

    SSRY161 SSRY319 SSRY72 SSRY105 NS128 NS689 EME303 SSRY287 SSRY287 NS308

    SSRY319 SSRY161 SSRY161 SSRY161 SSRY177 NS40 R9 NS149 SSRY236 SSRY236

    SSRY143 SSRY72 SSRY319 NS6 SSRY105 SSRY105 NS340 EME710 EME710

    SSRY123 SSRY252 SSRY123 NS701 NS1076 SSRY25 SSRY25

    SSRY180 SSRY265 SSRY143 NS40 EME341 NS368

    NS725 EME54 SSRY180 NS128 EME303 NS720 NS308

    NS74 EME113 EME113 NS371

    NS72 EME240 EME54 NS781 K12 S9 W5 R6

    EME345 EME260 EME409 NS1040 SSRY103 SSRY103 SSRY28 SSRY28

    EME260 EME409 EME260 EME637 SSRY106 SSRY106 SSRY83 SSRY83

    EME240 EME517 EME240 SSRY28 SSRY28 SSRY106

    EME517 NS72 EME517 K10 W2 NS198 EME425 EME425

    EME171_2 NS74 NS74 SSRY294 EME212 NS62 SSRY83

    NS217 SSRY314 EME395 NS124

    K7 S4 NS260 R10 Ka NS166 EME708 NS169

    SSRY148 SSRY75 SSRY148 NS119 S6 W21 R1 NS158

    SSRY165 SSRY148 SSRY165 EME212 SSRY104 SSRY104 SSRY104 EME171_1

    K8 SSRY246 SSRY38 SSRY38 EME395 SSRY168 EME425

    SSRY30 SSRY165 SSRY148 SSRY148 EME708 EME708

    K14 SSRY226

    SSRY94 SSRY153 SSRY153

    EME54 SSRY30 SSRY75

    EME113 SSRY322 R4

    EME409 EME222 SSRY94

    EME415

    EME345

    NS725

    NS323

    K15 S20 W18 R16 K17 S19 W19 K18 S10 W6 K19 S18 W11

    SSRY101 SSRY194 SSRY101 SSRY101 SSRY297 SSRY174 SSRY82 SSRY77 SSRY231 SSRY112 EME331 EME331EME331

    SSRY2 SSRY193 SSRY229 Ka SSRY82 SSRY337 SSRY297 SSRY296 SSRY61 SSRY231 NS658 NS658 SSRY70

    SSRY229 SSRY270 SSRY5 R14 SSRY5 SSRY337 SSRY82 EME87 NS1003 SSRY77 SSRY61 EME145

    SSRY193 SSRY101 SSRY2 SSRY169 SSRY169 SSRY174 SSRY297 OS22 EME445 SSRY81 SSRY77 NS362

    SSRY194 SSRY229 SSRY193 EME87 EME87 SSRY296 SSRY81 NS847

    EME313 SSRY2 EME313 OS22 OS22 K16 SSRY327 SSRY327 Ka

    EME313 SSRY81 EME445 SSRY21 SSRY21

    NS1003 SSRY296

    SSRY113

    C13 W14 R7 Ka EME86

    S22 SSRY19 SSRY19 SSRY19 W17 R5 Ka EME445 W27 R5

    SSRY144 SSRY41 SSRY164 NS57 SSRY91 SSRY91

    SSRY272 SSRY191 SSRY191 NS1003

    SSRY181 SSRY181 SSRY63 SSRY63

    Ka= Kawuki et al, 2013

    R= Rabbi et al, 2012

    W= Whankaew et al, 2011

    S=Straphet et al, 2011

    C16

    C14

    C1

    C9 C10

    C15

    C2 C3

    C12C11

    C4

    C5 C6 C7 C8

    DNA extraction (Risterucci et al)

    31 SSRs selected according to their repartition

    within the genome (

    SSR analysis performed on ABI 3500XL (Applied

    Biosystems)

    Analysis using Genemapper® software (Applied

    Biosystems 2007)

  • Factorial analysis on 365 cassava

    accessions collected in Central Africa

    Humid tropical forest (deciduous),

    Humid tropical forest (semi-deciduous /

    semperivirente)

    Humid shrubby savanna

    Sudanese savanna

    unknown

    Axe1:

    7.96%

    Axe2:

    5.67%

    Knowledge and use of landraces

    First analysis of regional diversity (Clotilde Abessolo-Meye, IRAF)

    Cameroon 109

    Centrafrica 102

    Congo 90

    Gabon 49

    Tchad 21

    Total number of alleles : 109

    Mean number : 4.74

    Fis = - 0.087

    Clonality : 0.75

    No clear agroclimatic

    structuration

    HC7

  • Diapositive 9

    HC7 Peut être rajouter au titre regional scaleCHAIR; 06/06/2014

  • 0 0.2

    Knowledge and use of landraces

    Neighbor Joining representation of the

    genetic diversity of 365 cassava

    accessions collected in Central Africa

    Cameroun

    Centrafrique

    Congo

    Gabon

    Tchad

    No geographical structuration

    observed, probably due to

    numerous exchanges

    Despite a rather high clonality

    (25% of the genotyped

    accessions are clonal lineages)

    dissimilarity range indicates

    sexual diversification

  • Knowledge and use of landraces

    Diversity of Congolese accessions (Françoise Otabo, CERAG, Congo)

    In progress

    Congo 469

    America (diversity

    sample, CIAT)

    37

    Centrafrica

    (control)

    1

    Tchad (control) 1

    Total number of alleles : 213

    Number of specific alleles (America) : 57

    Mean number : 6.87 (2-14)

    High clonality within congolese accessions

    Neighbor Joining representation of

    the genetic diversity of 510 cassava

    accessions

    Americas

    Odziba (Congo)

    Hinda (Congo)

    Oyo (Congo)

    Loudima (Congo)

    American and Congolese

    accessions are clearly

    separated, except for

    one Brazilian accession

    HC8

  • Diapositive 11

    HC8 idem...rajouter au titre directement at country scaleCHAIR; 06/06/2014

  • Koussakanandi

    Mandoussou

    Nkoussou

    Mâ ndombi

    Mâ voumboukoulou

    INC1 Yala vounga

    Maloundzou 1

    Maloundzou 2

    Bayenda

    Mandoussou

    INC 1 Loumou

    Tissaka

    Mandoussou

    Moussadi mbongo

    Moudouma

    Mâ ndombi

    Kignoumba

    MoudoumaMoudouma

    Moussala

    Express

    INC4 Mboukoulou

    MoudoumaMoudouma

    Moussala

    Moudouma

    Manguété

    Moudouma

    Loudimi ya kabiMoudouma

    Kignoumba

    Vigne

    Kindangala ya ndombi

    Mvilima

    Moudouma

    Moussala

    Kingnoumba

    Numéro

    Moudouma

    Bozizi

    Goy

    100

    100

    89

    84

    100

    100

    9199

    100

    Ipi

    Okéofi

    Ngapi

    INC2 Etsouali

    INC3 Etsouali

    Parapluie

    INC 5 Estsouali

    Okéofi

    Okéofi

    Ngantsa

    Nguébana

    INC1 Odziba

    Ngantsa

    Nguébana

    INC2 OdzibaINC 3 Odziba

    Okéofi

    INC 5 OdzibaINC 6 Odziba

    INC 7 Odziba

    Ngantsa mobali

    Ngantsa

    Nguébana

    parapluie

    Nguébana

    Ngantsa

    Okéofi

    Parapluie

    Ngapi

    Parapluie

    Ngantsa

    Ngantsa mobali

    NgantsaNgantsa

    Ipi

    Okéofi

    Mbalike

    Ngantsa

    100

    84

    100

    100

    99

    100

    100

    97

    97

    94

    Knowledge and use of landraces

    Clonal lineages are scattered among

    villages and shared between nearby

    sites, sometimes under different names

    Despite the general lack of

    geographical structuration

    some accessions collected in

    one site regroup: exemple of

    accessions collected in the

    savanna part of the Odziba site

  • Perspectives

    Results of this work on diversity will be used for the management of the

    germplasm bank (identification of duplicates) and the selection of parents

    - Conduct physico-chemical analysis to assess would be quality

    variation (Cirad, within the frame of this project)

    Diversity studies are still on-going and results will be discussed along with

    other data (inquiries about practices and uses, agromorphological data)

    A subset of accessions was selected with a double purpose :

    - Samples will be provided to CIAT for RAD sequencing within

    the frame of a RTB project (Luis Augusto Beccera) HC11

  • Diapositive 13

    HC11 mettre le but de cette étude????CHAIR; 06/06/2014

  • Thank you