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Work Package 3 Progress at 2.5 years Work Package 3 Progress at 2.5 years

Work Package 3 Progress at 2.5 years - PowerPoint Presentation

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Work Package 3 Progress at 2.5 years - PPT Presentation

Brigitte Uwimana IITA Uganda To develop molecular tools for selection in banana breeding through QTL analysis for Fusarium wilt R1 and SR4 Burrowing nematodes Radopholus similis Burrowing weevils ID: 755622

mapping population phenotyping year population mapping year phenotyping populations training progress 2018 qtl phenotyped kasaska borneo models predictive 200

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Slide1

Work Package 3Progress at 2.5 years

Brigitte UwimanaIITA UgandaSlide2

To develop molecular tools for selection in banana breeding through:QTL analysis for:

Fusarium wilt (R1 and SR4) Burrowing nematodes (Radopholus

similis

)Burrowing weevilsDevelopment of predictive models for Genomic Selection for: Yield Other agronomic traits

Primary outcomeSlide3

Develop populations:Mapping populations (QTL analysis)

Training population (phase 1 for GS)Phenotype

Mapping populations

Training populationGenotypePhenotypic + genotypic dataLinkage maps and QTL mapping

Development of predictive models

Molecular tools: step by step

Year 1 and 2

Year 2, 3 and 4

Year 4

Year 4 and 5Slide4

Progress with Phenotyping

Population

Target number of genotypes

Foc

R1

Site

Parents

Phenotyped

/being

phenotyped

Phenotyping to be completed by

Kasaska

x Borneo

200KawandaTxT

62%

March 2018

Monyet

x Kokopo

180

Kawanda

TxS

71%

Nov 2017

Calcutta 4 x Calcutta 4

200

Kawanda

TxT

 

55%

Feb 2018

Paliama

x Borneo

200

Arusha

?

10%

?

Malaccensis

x

Malaccensis

(UQ)

200

Arusha

?

?

 

 Slide5

Foc SR4: building on previous research

At the University of Queensland and University of Malaya UQ: Fine mapping of the resistance region: from 33 to 15 candidate genes

Testing resistance markers in other lines

Defining resistance in the Malaccensis x Malaccensis population and compare with resistance to R1 in the same population UM: population was lost, crosses going on, availing genotypic and transcriptomic resources

Progress with PhenotypingSlide6

Progress with Phenotyping

Population

Target number of genotypes

Weevil

Site

Parents

Phenotyped

/being

phenotyped

Phenotyping to be completed by

Kasaska

x Borneo

200

Kawanda

SxR

62%

March 2018

Monyet

x

Kokopo

180

Sendusu

RxS

23%

March 2018Slide7

Progress with Phenotyping

Population

Target number of genotypes

Nematode

Site

Parents

Phenotyped

/being

phenotyped

Phenotyping to be completed by

Kasaska

x

Borneo

200

Sendusu

RxS

95%

Nov 2017

Calcutta 4 x

Zebrina

GF

180

Sendusu

RxS

65%

Nov 2017Slide8

Progress with Phenotyping

Site

 

Training population (since 2013)

Cycle 1

Cycle 2

Cycle 3

Flowering

Harvest

Flowering

Harvest

Flowering

Harvest

Sendusu: low input

100%

98%

93%

87%

72%

65%

Sendusu: optimum input

100%

96%

96%

93%

82%

72%

Mbarara

78%

68%

54%

22%

11%

1%

Sendudu

: EET lines (200)

10%

-

-

-

-

-Slide9

Develop populations:Mapping populations (QTL analysis)

Training population (phase 1 for GS)Phenotype

Mapping populations

Training populationGenotypePhenotypic + genotypic dataLinkage maps and QTL mapping

Development of predictive models

Molecular tools: step by step

Year 1 and 2

Year 2, 3 and 4

Year 4

Year 4 and 5Slide10

Mapping populations:Genotyping going on with 19 SSR markers at IEB to check for pollination mistakes

Complete for Kasaska x Borneo: Pollination errors

Kasaska

available different from the Kasaska in the populationBorneo is the only known parentThe population is a mixture of BC1 (backcrossed to Borneo) and F1 x F

1

Mapping to be done without a linkage mapGenotyping with 20 ISSR and 1 IRAP from UM (Monyet x Kokopo)

Dense SNP markers to be provided this year (Chip)

Progress with GenotypingSlide11

Training population for GS:307 lines:

2x (11%), 3x (85%), and 4

x

(4%) Genotyped using GBS10,807 SNPs scored bi-allelically5,579 SNPs scored per ploidy level Predictive models using data from 2 fields for 2 cycles

Prediction power ranging from 20% to 68%

Progress with Genotyping

Nyine M., B. Uwimana, R. Swennen, M. Batte, A. Brown, P.

Christelová, E. Hřibová, J. Lorenzen, J. Doležel (Submitted) Trait variation and genetic diversity in a banana genomic selection training population, PLOS ONE.Nyine M., B. Uwimana, J. Lorenzen, R. Swennen, E. Hřibová, H. Vanrespaille, M. Batte, A. Brown, V. Akech, J. Doležel (in preparation) Genomic selection in a polyploid crop: the impact of genotype by environment interaction and allelic dosage on predictive ability of genomic selection models in banana

, PLOS Genetics. Slide12

4 PhD students:SLU

UM

SU

IEB 3 MSc students:KU Leuven

Makerere

University

Capacity buildingSlide13

Mapping populations with pollination mistakesMore than one population per trait

Screening for Foc in Arusha: pathogen is silent Communication

ChallengesSlide14

Phenotyping to be completed by March 2018 Genotyping by June 2018

Preliminary QTL mapping by September 2018 Predictive models to be enriched with data from Mbarara and EET

Select genotypes for validation

Way forward