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G2MARS a collaborative approach to

improve fodder quality of European

sorghum germplasm

1. Combining elite commercial material with high

quality sorghum landraces

High Quality

Restorer donor: IS13848

EUROSORHO ELITE Restorer RAGT2n ELITE Maintainer RAGT2n ELITE Restorer High Quality Maintainer donor : SC85 EUROSORHO ELITE Maintainer

2. Characterizing the topcross F4 populations

• 969 hybrids grown at 2 locations in 2016 or 2017 in

south west of France in augmented design with 3

controls.

• Scoring of agronomical characters : height, heading

date, lodging, biomass yield,…

• Analysis of biomass quality : soluble sugar, starch, cell

wall content and composition

3. Disentangling the genetic architecture of the target traits

4. Phenotypic and Molecular Ideotypes definitions : towards an optimal recombination strategy

• Genotyping with 544 SNPs

markers

• Validation of the congruence

between the genetic map and

the physical map

Mondonville trials (France) september 2017

Ideotype 1:

++ Biomass yield

+ High soluble

sugar level

++ High fiber

digestibility.

Ideotype 2:

+ Biomass yield

+ Starch content

(Grain)

++ High fiber

digestibility.

• Detection of QTL both for agronomical and quality traits

• QTL detection performed with MCQTL taking advantage of the

connected design

• 17 QTL detected in the R Pool and 6 in the B Pool

• Parental allelic effect ranked

Translating the

phenotypic

ideotypes into

molecular ideotypes

Objective: Compiling within the 2 pools (B and R) all favorable alleles from the 3 differents parents into the same line

.

Q. Devaud1, D. Roldan1, F. Valente1, F. Fabre2, J. Alcouffe2, P. Jeanson1, P. Moreau1, J-F Rami3,4, G. Trouche3,4, D. Pot3,4

Pop° E*R-001 R*C-136Pop° Eurosorgho RAGT2n High quality donor

Pop° E*R Pop° E*C Pop° R*C

Pop° E*R-002

Pop°

E*R-126 E*C-001Pop° E*C-002Pop° E*C-175Pop° R*C-001Pop° R*C-002Pop°

R line matching Ideotype 1 with all favorable alleles R line matching Ideotype 2 with all favorable allele 175 F4 126 F4 160 F4 79 F4 215 F4 136 F4 78 F4

1 Eurosorgho, Domaine de Sandreau, 6 Chemin de Panedautes, F-31700 Mondonville, France

2 RAGT2N, Rue Emile Singla, Site de Bourran, F- 12033 Rodez Cedex 09, France 3 CIRAD, UMR AGAP, F-34398 Montpellier, France

4 Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France

This work was supported by the Biomass For the Future project (ANR-11-BTBR-0006-BFF) funded by the French National Research Agency (ANR).

Female « B » pool

Male « R » pool

Breeding for Fodder quality : a multiparental

marker assisted recurrent selection strategy

The ability of sorghum to maintain a high level of biomass production in stressfull environments makes it an interesting crop for animal feed as fodder, and for biomaterials and bioenergy production. Sorghum hybrids with improved agronomical behavior and high biomass quality are being developped for the European market. However the development of such hybrids requires a lot of field testing and biomass analyses. The current marker assisted breeding strategies offer the possibilities to better understand the genetic architecture of biomass quality and accelerate the creation of improved varieties. The G2MARS design developped in the frame of the Biomass For the Future project is gathering the know-how of both private companies and publics institutes to deliver new genetic marker and improved germplasm for the European biomass market.

• 2 pools A/B and

R analyzed

• Elites from

Eurosorgho and

RAGT2N

• 7 biparental F4

populations

Heading date N content Soluble Sugar Height Soluble sugar Starch Dry matter ADL

Heading date Soluble sugar Fiber digestibility Fiber digestibility

Two ideotype targets

*for the R pool. EUG stands for Eursorgho Elite line, RAGT for the RAGT2n elite line and

CIRAD for the high quality donor line

Choosing the best

alleles based on QTL

detection *

Crossing scheme

definition:

the R pool example

G2MARS outputs

• A private public partnership for the development of sorghum hybrids suitable for the biomass value chains

• A better image of the genetic architecture of biomass quality and yield in an elite germplasm context

• A recombination strategy anchored on a deep understanding of the genetic architecture of the target traits

Pool Cross # Informative

Markers B RAGT2n B X EUSG B 186 B RAGT2n B X SC85 261 B SC85 X EUSG B 248 BxR SC85 X IS13848 260 R EUSG R X IS13848 273 R EUSG R X RAGT2n R 231 R RAGT2n R X IS13848 274

 Phenotyping

 Genotyping

Q TL # Id eo ty pe 1 Id eo ty pe 2 1 EUG EUG 2 EUG EUG 3 EUG CIRAD 4 EUG EUG 5 EUG EUG 6 CIRAD RAGT 7 RAGT RAGT 8 RAGT RAGT 9 EUG EUG 10 CIRAD CIRAD 11 CIRAD RAGT 12 RAGT CIRAD 13 RAGT CIRAD 14 RAGT CIRAD 15 RAGT/ CIRAD RAGT/ CIRAD 16 RAGT RAGT 17 CIRAD/ EUG CIRAD/ EUG

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