Breeding for wheat-pea mixtures: are the traits of pea varieties in sole crop predictive of their behaviour in mixture?

International audienc

L’innovation variétale chez les légumineuses à graines. Webinaire - Share & Learn Valorisation.

National audienc

Sélection pour les associations blé-pois : les caractéristiques des variétés de pois en culture pure sont-elles prédictives de leur comportement en culture associé

National audienc

A QTL approach in faba bean highlights the conservation of genetic control of frost tolerance among legume species

International audienceFrost is a major abiotic stress of winter type faba beans ( Vica faba L.) and has adverse effects on crop yield. Climate change, far from reducing the incidence of frost events, is making these phenomena more and more common, severe, and prolonged. Despite the important interaction that the environment has in the tolerance of faba bean to frost, this trait seems to have good levels of heritability. Several QTLs for frost tolerance have already been reported, however, a more robust identification is needed to more precisely identify the genomic regions involved in faba bean tolerance to sub-zero temperatures. Several pea ( Pisum sativum L.) and barrel medic ( Medicago truncatula L.) frost tolerance QTLs appear to be conserved between these two species, furthering the hypothesis that the genetic control of frost tolerance in legume species might be more generally conserved. In this work, the QTL mapping in two faba bean recombinant inbred line (RIL) populations connected by a common winter-type parent has led to the identification of five genomic regions involved in the control of frost tolerance on linkage groups I, III, IV, and V. Among them, a major and robust QTL of great interest for marker-assisted selection was identified on the lower part of the long-arm of LGI. The synteny between the faba bean frost tolerance QTLs and those previously identified in other legume species such as barrel medic, pea or soybean highlighted at least partial conservation of the genetic control of frost tolerance among different faba bean genetic pools and legume species. Four novel RILs showing high and stable levels of tolerance and the ability to recover from freezing temperatures by accumulating frost tolerance QTLs are now available for breeding programs

Are the traits of wheat and pea cultivars in sole crop predictive of their behavior in mixtures? Consequences for advisors and breeders

International audienc

The Pea genome and after …

International audienceHaving a genome sequence available is a critical step towards unravelling functional diversity andestablishing genome-enabled breeding. The recently generated pea genome sequence represents a great toolfor genomicists, geneticists and breeders not only for the pea community but also for legume research. In thegenome project, re-sequencing data revealed the considerable diversity present in the Pisum genus. In thePeaMUST project, an unprecedented effort was made to genotype large pea collections using the exomecapture technology. This high-density SNP data was exploited in genome-wide association studies (GWAS) ona large number of traits related to yield, as well as response to biotic and abiotic stresses. Comparative GWASand meta-QTL analysis identified important putative loci involved in the control of yield and its components inpea. Furthermore, genomic selection strategies have been developed in order to tackle complex traits such asyield regularity and improve selection efficiency. We will present snapshots of these results and discusspotential transfer of knowledge from pea to related crops

The Pea genome and after …

International audienceHaving a genome sequence available is a critical step towards unravelling functional diversity andestablishing genome-enabled breeding. The recently generated pea genome sequence represents a great toolfor genomicists, geneticists and breeders not only for the pea community but also for legume research. In thegenome project, re-sequencing data revealed the considerable diversity present in the Pisum genus. In thePeaMUST project, an unprecedented effort was made to genotype large pea collections using the exomecapture technology. This high-density SNP data was exploited in genome-wide association studies (GWAS) ona large number of traits related to yield, as well as response to biotic and abiotic stresses. Comparative GWASand meta-QTL analysis identified important putative loci involved in the control of yield and its components inpea. Furthermore, genomic selection strategies have been developed in order to tackle complex traits such asyield regularity and improve selection efficiency. We will present snapshots of these results and discusspotential transfer of knowledge from pea to related crops

The Pea genome and after …

International audienceHaving a genome sequence available is a critical step towards unravelling functional diversity andestablishing genome-enabled breeding. The recently generated pea genome sequence represents a great toolfor genomicists, geneticists and breeders not only for the pea community but also for legume research. In thegenome project, re-sequencing data revealed the considerable diversity present in the Pisum genus. In thePeaMUST project, an unprecedented effort was made to genotype large pea collections using the exomecapture technology. This high-density SNP data was exploited in genome-wide association studies (GWAS) ona large number of traits related to yield, as well as response to biotic and abiotic stresses. Comparative GWASand meta-QTL analysis identified important putative loci involved in the control of yield and its components inpea. Furthermore, genomic selection strategies have been developed in order to tackle complex traits such asyield regularity and improve selection efficiency. We will present snapshots of these results and discusspotential transfer of knowledge from pea to related crops

Complementary approaches towards the discovery of genes controlling yield in pea

International audiencePea is one of the most important grain legumes in the world. Improving pea yield is a critical breedingtarget in the current context of consumers’ increasing demand for plant proteins for food and feed. Becauseof its polygenic nature and the impact of the environment, breeding for higher yield is challenging. Weinvestigated the genetic determinism of yield (SW), seed number (SN) and thousand seed weight (TSW) usingboth linkage and linkage-disequilibrium approaches.Nine interconnected mapping populations, representing a total of 1,213 recombinant inbred lineswere phenotyped for SW, SN and TSW in six different field environments. These lines were genotyped usingthe GenoPea 13.2K SNP Array [1]. A multi-population quantitative trait loci (QTL) analysis [2] identified 19 QTLfor SW, 18 QTL for SN and 36 QTL for TSW. From this first QTL analysis, a metaQTL analysis [3] detected 27metaQTL and reduced confidence intervals.In addition, two panels of conventional winter pea (376 accessions) and spring pea (300 accessions)were phenotyped for the same traits in seven different field environments. These accessions were genotypedby re-sequencing after exome capture [4]. A Genome Wide Association analysis [5] detected markerssignificantly associated with the 3 traits.The combination of these two genetic approaches highlighted common regions on the pea genomethat represent genomic regions consistently involved in controling yield and its components in pea. Theseresults represent an important step towards marker assisted breeding programs for yield improvement

Complementary approaches towards the discovery of genes controlling yield in pea

International audiencePea is one of the most important grain legumes in the world. Improving pea yield is a critical breedingtarget in the current context of consumers’ increasing demand for plant proteins for food and feed. Becauseof its polygenic nature and the impact of the environment, breeding for higher yield is challenging. Weinvestigated the genetic determinism of yield (SW), seed number (SN) and thousand seed weight (TSW) usingboth linkage and linkage-disequilibrium approaches.Nine interconnected mapping populations, representing a total of 1,213 recombinant inbred lineswere phenotyped for SW, SN and TSW in six different field environments. These lines were genotyped usingthe GenoPea 13.2K SNP Array [1]. A multi-population quantitative trait loci (QTL) analysis [2] identified 19 QTLfor SW, 18 QTL for SN and 36 QTL for TSW. From this first QTL analysis, a metaQTL analysis [3] detected 27metaQTL and reduced confidence intervals.In addition, two panels of conventional winter pea (376 accessions) and spring pea (300 accessions)were phenotyped for the same traits in seven different field environments. These accessions were genotypedby re-sequencing after exome capture [4]. A Genome Wide Association analysis [5] detected markerssignificantly associated with the 3 traits.The combination of these two genetic approaches highlighted common regions on the pea genomethat represent genomic regions consistently involved in controling yield and its components in pea. Theseresults represent an important step towards marker assisted breeding programs for yield improvement