Cahiers Agricultures : visibilité et notoriété scientifique

10 pagesInternational audienceCahiers Agricultures is an international scientific journal. It publishes articles on agronomic research and also includes human and social sciences in the field of rural development. It is well referenced in international databases and has been indexed in the Web of Science (WoS) since 2006. This database, associated with the Journal Citation Reports1 (JCR), can be used to develop bibliometric indicators for journals derived from the citation analysis. The article presents the indicators for Cahiers Agricultures, as well as other analyses, so that the journal's readers and authors know where it ranks among the journals with an impact factor in the same scientific field. Two types of results are presented. The production indicators show how the journal is referenced in the Web of Science. An analysis of the authors' affiliations shows that there is a great deal of collaboration between research organisations from the North and the South. The indicators for visibility and impact, which are derived from an analysis of citations received for the articles in Cahiers Agricultures, provide an overview of the journal's position internationally. The bibliometric analysis proposes different priority actions to improve the journal's referencing and visibility.Cahiers Agricultures est une revue scientifique internationale. Elle publie des articles de recherche agronomique et s'étend également aux sciences humaines et sociales dans le domaine du développement rural. Bien référencée dans les bases de données internationales, elle est aussi indexée depuis 2006 dans le Web of Science (WoS). Cette base de données, associée au Journal Citation Reports ® (JCR), permet d'élaborer des indicateurs bibliométriques sur les revues, issus de l'analyse des citations. L'article présente ces indicateurs pour Cahiers Agricultures, ainsi que d'autres analyses, afin de donner aux lecteurs et aux auteurs de la revue des éléments sur son positionnement parmi les revues à facteur d'impact du même champ scientifique. Deux types de résultats sont présentés. Les indicateurs de production montrent comment la revue est référencée dans le Web of Science. Une analyse des affiliations des auteurs permet de mettre en évidence une forte collaboration des organismes de recherche du Nord et du Sud. Les indicateurs de visibilité et d'impact, issus d'une analyse des citations reçues par les articles de Cahiers Agricultures, donnent un aperçu du positionnement de la revue dans un contexte international. L'analyse bibliométrique met en avant différentes actions à privilégier pour un meilleur référencement et une plus grande visibilité de la revue

Biopesticides contre maladies, insectes, mauvaises herbes

La lutte biologique peut se définir comme une méthode de lutte contre un ravageur, une maladie ou une plante adventice, utilisant des agents naturels antagonistes de ceux-ci, c’est-à-dire des phytophages (s’il s’agit d’une plante adventice), des parasites, des prédateurs, des agents pathogènes (bactéries, virus, champignons...). Dans tous les cas, les agents naturels utilisés sont réunis sous le concept de biopesticide. Certains, et notamment les auteurs anglo-saxons, en donnent une définition plus large, en y incluant toutes les substances organiques qui ont un effet protecteur sur les plantes, qu’elles soient trouvées dans la nature ou synthétisées chimiquement (extraits végétaux, hormones, phéromones…). Dans le présent article, nous nous situerons à mi-chemin, traitant essentiellement des biopesticides au sens strict du terme, mais en mentionnant quand même les phéromones. La diversité de plus en plus grande des cibles, des agents utilisés, des partenariats (industriels, collectivités territoriales, organismes internationaux…), l’intérêt croissant des pays en développement dans ce domaine, contrastent avec le faible nombre d’applications au stade industriel. Après avoir fait un descriptif de chaque type d’agent utilisé en lutte biologique (mode d’action, contraintes, intérêt , applications, commercialisation, perspectives), nous dresserons un état général du marché mondial actuel des biopesticides, des ses potentialités et des conditions de son développement ; nous évoquerons enfin les réglementations en vigueur dans ce domaine

Post-Fire Succession and Montezuma Quail in a Semi-Desert Grassland of Southeast Arizona

A 1,011.7-ha wildfire occurred in southeast Arizona in May 2009 and provided an opportunity to evaluate pre- and post-fire abundance of and habitat use by Montezuma quail (Cyrtonyx montezumae) through use of flush surveys and radiotelemetry. We evaluated movements of radio-marked quail from 2 months prior to the burn to 12 months post-burn. We observed strong site fidelity with coveys persisting in small patches of unburned areas and micro-topography, despite extensive reduction in cover in the surrounding landscape. We documented 46.7% reduction in abundance using flush counts within the first 2 weeks post-fire, and 66.7% reduction within 3 weeks post-fire. We also documented roosting within a fire-affected area and successful nesting by Montezuma quail a few months following a wildfire

Genome-Wide Association Study of Alzheimer's Disease Brain Imaging Biomarkers and Neuropsychological Phenotypes in the European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery Dataset

Alzheimer's disease (AD) is the most frequent neurodegenerative disease with an increasing prevalence in industrialized, aging populations. AD susceptibility has an established genetic basis which has been the focus of a large number of genome-wide association studies (GWAS) published over the last decade. Most of these GWAS used dichotomized clinical diagnostic status, i.e., case vs. control classification, as outcome phenotypes, without the use of biomarkers. An alternative and potentially more powerful study design is afforded by using quantitative AD-related phenotypes as GWAS outcome traits, an analysis paradigm that we followed in this work. Specifically, we utilized genotype and phenotype data from n = 931 individuals collected under the auspices of the European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery (EMIF-AD MBD) study to perform a total of 19 separate GWAS analyses. As outcomes we used five magnetic resonance imaging (MRI) traits and seven cognitive performance traits. For the latter, longitudinal data from at least two timepoints were available in addition to cross-sectional assessments at baseline. Our GWAS analyses revealed several genome-wide significant associations for the neuropsychological performance measures, in particular those assayed longitudinally. Among the most noteworthy signals were associations in or near EHBP1 (EH domain binding protein 1; on chromosome 2p15) and CEP112 (centrosomal protein 112; 17q24.1) with delayed recall as well as SMOC2 (SPARC related modular calcium binding 2; 6p27) with immediate recall in a memory performance test. On the X chromosome, which is often excluded in other GWAS, we identified a genome-wide significant signal near IL1RAPL1 (interleukin 1 receptor accessory protein like 1; Xp21.3). While polygenic score (PGS) analyses showed the expected strong associations with SNPs highlighted in relevant previous GWAS on hippocampal volume and cognitive function, they did not show noteworthy associations with recent AD risk GWAS findings. In summary, our study highlights the power of using quantitative endophenotypes as outcome traits in AD-related GWAS analyses and nominates several new loci not previously implicated in cognitive decline

Whole-exome rare-variant analysis of Alzheimer's disease and related biomarker traits

INTRODUCTION: Despite increasing evidence of a role of rare genetic variation in the risk of Alzheimer's disease (AD), limited attention has been paid to its contribution to AD-related biomarker traits indicative of AD-relevant pathophysiological processes. METHODS: We performed whole-exome gene-based rare-variant association studies (RVASs) of 17 AD-related traits on whole-exome sequencing (WES) data generated in the European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery (EMIF-AD MBD) study (n = 450) and whole-genome sequencing (WGS) data from ADNI (n = 808). RESULTS: Mutation screening revealed a novel probably pathogenic mutation (PSEN1 p.Leu232Phe). Gene-based RVAS revealed the exome-wide significant contribution of rare coding variation in RBKS and OR7A10 to cognitive performance and protection against left hippocampal atrophy, respectively. DISCUSSION: The identification of these novel gene-trait associations offers new perspectives into the role of rare coding variation in the distinct pathophysiological processes culminating in AD, which may lead to identification of novel therapeutic and diagnostic targets

Hypoxia inducible factor 1α gene (HIF-1α) splice variants: potential prognostic biomarkers in breast cancer

<p>Abstract</p> <p>Background</p> <p>Hypoxia-inducible factor 1 (HIF-1) is a master transcriptional regulator of genes regulating oxygen homeostasis. The HIF-1 protein is composed of two HIF-1α and HIF-1β/aryl hydrocarbon receptor nuclear translocator (ARNT) subunits. The prognostic relevance of HIF-1α protein overexpression has been shown in breast cancer. The impact of HIF-1α alternative splice variant expression on breast cancer prognosis in terms of metastasis risk is not well known.</p> <p>Methods</p> <p>Using real-time quantitative reverse transcription PCR assays, we measured mRNA concentrations of total <it>HIF-1α </it>and 4 variants in breast tissue specimens in a series of 29 normal tissues or benign lesions (normal/benign) and 53 primary carcinomas. In breast cancers <it>HIF-1α </it>splice variant levels were compared to clinicopathological parameters including tumour microvessel density and metastasis-free survival.</p> <p>Results</p> <p><it>HIF-1α </it>isoforms containing a three base pairs TAG insertion between exon 1 and exon 2 (designated <it>HIF-1α</it>^<it>TAG</it>) and <it>HIF-1α</it>^{<it>736 </it>}mRNAs were found expressed at higher levels in oestrogen receptor (OR)-negative carcinomas compared to normal/benign tissues (<it>P </it>= 0.009 and <it>P </it>= 0.004 respectively). In breast carcinoma specimens, lymph node status was significantly associated with <it>HIF-1α</it>^{<it>TAG </it>}mRNA levels (<it>P </it>= 0.037). Significant statistical association was found between tumour grade and <it>HIF-1α</it>^{<it>TAG </it>}(<it>P </it>= 0.048), and total <it>HIF-1α </it>(<it>P </it>= 0.048) mRNA levels. <it>HIF-1α</it>^{<it>TAG </it>}mRNA levels were also inversely correlated with both oestrogen and progesterone receptor status (<it>P </it>= 0.005 and <it>P </it>= 0.033 respectively). Univariate analysis showed that high <it>HIF-1α</it>^{<it>TAG </it>}mRNA levels correlated with shortened metastasis free survival (<it>P </it>= 0.01).</p> <p>Conclusions</p> <p>Our results show for the first time that mRNA expression of a <it>HIF-1α</it>^{<it>TAG </it>}splice variant reflects a stage of breast cancer progression and is associated with a worse prognosis.</p> <p>See commentary: <url>http://www.biomedcentral.com/1741-7015/8/45</url></p