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SCIENTIFIC PAPERS

To find the references of the scientific papers of the SPECIFICS project , it's here !

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HAL : Dernières publications

  • [hal-05606391] Quantifying Species‐ and Community‐Level Predation by Carabids on Pests and Beneficials in Wheat and Beet Fields

    In this study, we apply a hierarchical Bayesian model to quantify predation by carabid beetles at species and community levels across three cropping contexts: fodder beet, sugar beet, and winter wheat. Prey includes pests (aphids and slugs) and beneficial organisms (earthworms, springtails, and spiders). Model predictions indicate higher overall predation pressure in wheat than in beet. However, the median diet composition contains a larger share of pests in beet fields, whereas consumption of earthworms and spiders is greater in wheat. The strongest diet shifts among cropping contexts occur in smaller carabids (genera Bembidion Latreille, 1802 [Carabidae: Bembidiini] and Trechus Clairville, 1806 [Carabidae: Trechini]), whereas larger species (Pterostichus melanarius [Illiger, 1798] [Carabidae: Pterostichini], Pseudoophonus rufipes [De Geer, 1774] [Carabidae: Harpalini], and Poecilus cupreus [Linnaeus, 1758] [Carabidae: Pterostichini]) show more stable diets. Although community structure (species and relative abundances) differs markedly between wheat and beet, it does not appear to be the main driver of the community-level predation indicator. Overall, our results support a higher potential for aphid biocontrol by carabid communities in sugar beet, with a lower collateral impact on earthworms and spiders.

    ano.nymous@ccsd.cnrs.fr.invalid (Marion Rosec) 29 Apr 2026

    https://institut-agro-rennes-angers.hal.science/hal-05606391v1
  • [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-05598288] Comparing Methods for Measuring Predation: Toward a Quantitative–Informative Indicator of Natural Pest Control

    The transition to insecticide-free pest management requires field-based measurements of natural regulation capturing trophic networks driving pest suppression. Conventional proxies (pest abundance, predator abundance, and richness) fail to quantify actual predation or species contributions. A quantitative-informative indicator must couple trophic interactions, spanning specialist to generalist predators, with specific predation rates (daily prey consumed per predator). We evaluated major predation quantification methods in relation to their potential to inform such an indicator. These included four direct approaches (predator observation, sentinel prey, exclusion devices, predation signs), two indirect approaches (prey remains and molecular traces in predator guts), and three inferential approaches (trait-based analyses, population dynamics modelling, and inference from molecular prey detection). Seven criteria guided the comparison: type of predation measurement, taxonomic resolution for prey and predators, capacity to reveal trophic links, applicability across predator diversity, generality of results, and practical feasibility. We also compared the few approaches for converting molecular detection data into quantitative estimates of predation. Our synthesis highlights inference from molecular prey detection as the most promising and versatile method, as it simultaneously reveals trophic interactions and yields data that can be translated into predation rates. In contrast, common methods such as exclusion devices provide broad estimates of pest suppression but obscure trophic complexity, limiting ecological insight and constraining targeted management in favor of the most effective predator species. Integrating molecular detection with modeling inference emerges as a robust way to estimate predation rates on multiple pests across entire predator communities. This combination offers a powerful framework for developing a biological control indicator, though practical implementation will require improved molecular assays and more effective sampling strategies in the field.

    ano.nymous@ccsd.cnrs.fr.invalid (Yann Tricault) 21 Apr 2026

    https://hal.science/hal-05598288v1
  • [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-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-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-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-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

All SPECIFICS publications (ANR20-PCPA-0008) by following this link.

Contact

specifics-com@inrae.fr 

Modification date: 27 January 2026 | Publication date: 15 September 2022 | By: Sandie Barbot