PUBLICATIONS

PUBLICATIONS

Pour retrouver toutes les publications scientifiques dans et autour du projet SPECIFICS, c'est dans cette rubrique !

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HAL : Dernières publications

  • [hal-05585141] Vers une réduction d’usage d’herbicides pour la gestion de la flore adventice

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    ano.nymous@ccsd.cnrs.fr.invalid (Nicolas Munier-Jolain) 08 Apr 2026

    https://hal.inrae.fr/hal-05585141v1
  • [hal-05470145] Les lég-lumineuses - Des graines riches en protéines qui font pousser l'avenir (présentation des projets SPECIFICS et LETSPROSEED)

    Présentation des projets de recherche (ANR) SPECIFICS et LETSPROSEED qui unissent leurs forces pour développer la production et la consommation des légumineuses à graines comme le pois, la féverole et le soja., afin de devenir des piliers d’une agriculture et d’une alimentation durables. SPECIFICS vise à concevoir des systèmes de culture sans pesticide, en mobilisant la diversité biologique, de nouvelles sources de résistance et des leviers agroécologiques pour renforcer la résilience des cultures et leur valorisation économique. LETSPROSEED tend à améliorer le rendement, la qualité et la transformation des graines de légumineuses pour développer des ingrédients et aliments riches en protéines végétales. Du sol à l’assiette, les légumineuses sèment l’avenir !

    ano.nymous@ccsd.cnrs.fr.invalid (Sandie Barbot) 21 Jan 2026

    https://hal.science/hal-05470145v1
  • [hal-05421240] Comparative genomic analysis of QTL for resistance to Aphanomyces euteiches between pea, lentil, faba bean, and the model species Medicago truncatula

    Key message: QTL mapping and GWAS detected resistance QTL to Aphanomyces euteiches in faba bean, lentil, and Medicago truncatula. Weak genomic conservation between resistance QTL was identified between these legumes and pea. Abstract: QTL mapping and GWAS detected resistance QTL to Aphanomyces euteiches in faba bean, lentil, and Medicago truncatula. Weak genomic conservation between resistance QTL was identified between these legumes and pea. Aphanomyces root rot, caused by Aphanomyces euteiches, is a damaging disease affecting various legume species. Quantitative trait loci (QTL) for partial resistance have been mainly identified in pea, and to a lesser extent in lentil and Medicago truncatula. This study aimed to identify novel resistance loci from available lentil and faba bean populations, and examine genomic conservation of resistance QTL across legume host species. QTL mapping in the Pop2 faba bean recombinant inbred line (RIL) population and genome-wide association study (GWAS) in the AGILE lentil diversity panel were performed for resistance to A. euteiches under controlled conditions, using genotyping data previously reported. A previous QTL mapping in the LR3 M. truncatula RIL population was updated using 1,536 new SNPs (single-nucleotide polymorphisms). Synteny between resistance QTL to A. euteiches was analyzed based on gene orthology in QTL regions projected onto genomes, using the OrthoLegKB graph database. Four loci, including a major-effect QTL on chromosome 3, Ae-Vf3.1, were associated with resistance in faba bean. In lentil, six minor-effect GWAS-SNPs and two favorable haplotypes at Ae-Lc1.1 and Ae-Lc2.1 loci were identified. Updated analyses in M. truncatula narrowed to 8 Kb the interval of the major-effect locus AER1 and revealed three candidate genes. No synteny between major-effect QTL, detected in this study or previously reported in the literature, was identified across grain legume genomes. These results pave the way for translational genomics approaches facilitating resistance gene discovery and for resistance QTL deployment strategies in legume rotations to preserve their durability.

    ano.nymous@ccsd.cnrs.fr.invalid (Théo Leprévost) 17 Dec 2025

    https://hal.science/hal-05421240v1
  • [hal-05526495] Colonization and spatiotemporal distribution of bruchid pests in lentil and faba bean fields

    BACKGROUND: Lentils (Lens culinaris Medikus, 1787) and faba beans (Vicia faba Linnaeus, 1753) are important crops in France facing threats from Bruchus spp. We analyzed 59 lentil and 45 faba bean fields across four French regions over three growing seasons (2019-2020 to 2021-2022). We investigated the diversity, colonization patterns and spatiotemporal distribution of bruchids at different crop phenological stages and distances from field edges. RESULTS: Bruchus rufimanus Boheman, 1833 and Bruchus signaticornis Gyllenhal, 1833 were the only species emerging from faba beans (97.8%) and lentils (99.5%), respectively. B. rufimanus colonization was concentrated during pod development, maintaining a balanced male-female ratio throughout. B. signaticornis exhibited a colonization period of ≈1 month, with a gradual increase in female proportion over time. The spatial distribution of bruchids and damage were relatively uniform within fields, indicating strong dispersal capabilities. A significant positive correlation, with a high degree of dispersion, was identified between female abundance and bruchid-damaged grains. CONCLUSION: We confirmed that B. rufimanus and B. signaticornis were the only species damaging faba beans and lentils in France, respectively. The homogeneous spatial distribution suggests a strong dispersal ability of bruchids. The high degree of dispersion in the relationship between female abundance and bruchid-damaged grains highlights the importance of regulatory factors influencing larval and egg survival. These results, together with the presence of B. signaticornis in faba beans, emphasize the need for species-specific, phenology-based and spatially informed integrated pest management strategies, to mitigate the impact of bruchids and reduce reliance on chemical in their control.

    ano.nymous@ccsd.cnrs.fr.invalid (Anastasia Chery-Lagrange) 25 Feb 2026

    https://hal.inrae.fr/hal-05526495v1
  • [hal-05372385] Processus biologiques par lesquels les couverts régulent les adventices ?

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    ano.nymous@ccsd.cnrs.fr.invalid (Cordeau, S.) 19 Nov 2025

    https://hal.inrae.fr/hal-05372385v1
  • [hal-05372415] Adapter la densité de semis à la date de semis des couverts pour maximiser la biomasse à destruction : Vesce velue

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    ano.nymous@ccsd.cnrs.fr.invalid (Cordeau, S.) 19 Nov 2025

    https://hal.inrae.fr/hal-05372415v1
  • [hal-05373048] Faut-il maximiser la diversité des espèces de couverts pour améliorer la régulation des adventices ?

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    ano.nymous@ccsd.cnrs.fr.invalid (Cordeau, S.) 19 Nov 2025

    https://hal.inrae.fr/hal-05373048v1
  • [hal-05372438] Effets intentionnels et non-intentionnels des techniques de destruction des couverts ?

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    ano.nymous@ccsd.cnrs.fr.invalid (Cordeau, S.) 19 Nov 2025

    https://hal.inrae.fr/hal-05372438v1
  • [hal-05232413] How contracting in the value chain can reduce farmer's exposure to risks and enhance crop diversification ? A case study approach in the crop sector in France

    Marketing contracts are widely used to organise the exchanges in minor crop value chains facing uncertainty. In this study, we investigate how this vertical coordination tool can incentivize farmers to adopt grain-legumes in their crop rotations by transferring part the production and market risks to downstream firms. The risk transfer mechanism is analysed using a methodology based on surveys of chain of agents involved in a given value chain. We examine 5 case studies based on the type of legume and the organisation of the value chain. The results show that the payment system, the design of the contracts and the material and immaterial resources reinforced by the relationship between farmers and downstream firms, especially technical knowledge resources, contribute to reduce farmer’s exposure to risks and favour the development of the legume value chain, which is key for the agro-ecological transition.

    ano.nymous@ccsd.cnrs.fr.invalid (Auguste Bréavoine) 01 Sep 2025

    https://hal.inrae.fr/hal-05232413v1
  • [hal-05265454] GWASpipe: a Nexflow pipeline for GWAS analyses incorporating quality control

    Genome-wide association studies (GWAS) are powerful tools to link genetic variants with phenotypic traits. However, running GWAS involves several complex steps, including VCF preprocessing, quality control, population structure and relatedness correction, and selecting the right statistical models. We developed GWASpipe, an easy-to-use and automated pipeline to make GWAS more accessible, especially for non-expert users. GWASpipe is built with Nextflow[1] and follows nf-core standards. All tools are packaged in Singularity containers, ensuring reproducibility and easy deployment on any computing system. The pipeline includes :Data quality control, Filtering of low-quality variants and individuals, Population structure analysis, Kinship calculation, Association testing using two R packages (MM4LMM[2] et GAPIT[3] )

    ano.nymous@ccsd.cnrs.fr.invalid (Sophia Marguerit) 17 Sep 2025

    https://hal.inrae.fr/hal-05265454v1

La totalité des publications référencées SPECIFICS (ANR20-PCPA-0008en suivant ce lien.