122418 research outputs found
Sort by
New results on the combination of Sterile Insect Technique and enthomopathogenic fungi
Get PDFSince 2017, Bactrocera dorsalis, the oriental fruit fly, has invaded Réunion island, causing significant damage to many crops, particularly mango orchards. It is necessary to combat this pest, using biological control methods [1]. The Sterile Insect Technique (SIT) is an old autocidal method used against pest and vectors of diseases. It is based on the releases of sterile males supposed to mate with wild females, such that the sterile-mated females will have no offspring, leading to a progressive decay of the wild population. Many SIT models have been developed taking into account that only one mating occurs. In fact, for many fruit flies species, like Bactrocera dorsalis, this is not the case: re-mating can occur after a certain time after the first mating. In addition, sterile males are not necessarily 100% sterile: residual fertility can occur such that sterile-mated females may deposit a certain proportion of viable eggs, ε. In [2], we have developed a complex model to take into account these issues. In particular, we show that SIT is efficient, i.e. elimination is possible, only if RS ε < 1, where RS is the basic offspring number related to the single and double-mated sterile females. We improve the result obtained in [3]. Then, we consider SIT in combination with an enthomopathogen soil's fungi that is used to control the fruit fly at the pupae stage. We show that this combination relax the constraint on the residual fertility and also decay the critical release rate. This works is part of the AttracTIS project, funded by Ecophyto 2021-2022
Training workshop on Participatory Prospective Analysis (PPA) with the case of upper Marikina river basin protected landscape - Alabang, Philippines, July 23 to July 25, 2025
Get PDFPour une conversion progressive des plantations exotiques de la Réserve Naturelle Forestière de Bururi (RNFB) en boisements naturels
Get PDFTechnical assistance support for the R and D policy reform agenda (Subprogram 2) of the policy based Loan for the Philippines on Climate Change Action Program (CCAP). Field visit to Upper Marikina - report August 05-12, 2025
No full textVeille évènementielle en épidémiosurveillance " dans l'Océan Indien - Rapport de mission à La Réunion
No full textIntroduction générale [Futurs de l'élevage dans les systèmes agri-alimentaires. Prospectives et évaluation multicritère de scénarios]
Get PDFMapping intra-annual integrated crop-livestock systems in Mato Grosso using deep learning and MODIS time series
No full textThe Brazilian Amazon state of Mato Grosso has undergone rapid agricultural expansion and intensification in recent decades, leading to land depletion and high carbon emissions. Since 2010, the low-carbon agricultural Plan (ABC Plan) promotes practices to limit greenhouse gas emissions while increasing productivity. Among these practices, the adoption of intra-annual integrated crop-livestock systems (ICLS) is encouraged and can be monitored by remote sensing, especially through dense satellite image time series (SITS) and advanced analysis tools. In this study, we compare a calibrated Random Forest and three deep learning methods (LSTM, LTAE and TempCNN) suitable for processing SITS for mapping intra-annual ICLS in Mato Grosso. In particular, MODIS time series were used to classify a spatially and temporally rich dataset among four classes (pasture, single-crop, double-crop and intra-annual ICLS). TempCNN achieved slightly higher overall results in terms of precision (85.63%), recall (85.71%) and F1-score (85.32%), even though there is an inter-class and intraclass heterogeneity in the results. For the ICLS class, TempCNN achieved the best precision (85.14%) but Random Forest achieved higher recall (69.63% vs. 58.52% for TempCNN) and F1-Score (70.14% vs. 69.36% for TempCNN)
Next-generation specimen digitization: Capturing reflectance spectra from the world's herbaria for modeling plant biology across time, space, and taxa
Get PDFSpectral reflectance measured from herbarium specimens represents a potentially vast source of information relevant to plant taxon identification and functional traits, which has inspired many laboratories world-wide to initiate next-generation spectral digitization from specimens. Combining these datasets into a coordinated global database would generate new capacity to model plant traits globally, enabling connection with remote sensing and ecological and biosphere models, as well as reconstruction of trait evolution. However, coordination is needed to avoid downstream problems in data aggregation due to variation in data standards and technical specifications of the instruments, optical setups, or measurement protocols. The International Herbarium Spectral Digitization (IHerbSpec) working group has initiated a globally collaborative program, outlining the central issues to address in establishing protocols, standards, and best practices, and proposing next steps. This collaborative effort will allow generation of replicable spectral reflectance data from plant specimens housed in herbaria around the world within ongoing digitization programs following community-defined standards and Findable, Accessible, Interoperable, and Reusable (FAIR) principles
A circular bioeconomy living lab for agro-ecological and energy transitions at territorial level: The case of the Reunion Island
Get PDFBenefits for winegrowers of diversified farming in the high valleys of southern Bolivia
No full textIn southern Bolivia, smallholder farms maintain a highly specific traditional agroforestry viticulture. In these farming systems, the various cropping and livestock activities and their interactions with viticulture were identified, the benefits of their diversity to the farm households were assessed, and the most profitable forms of diversity were identified. Surveys and participatory workshops were organized to draw up a typology of farms and evaluate their main potential and limitations. Production of grapes, vegetables, fruits and fodder, animal husbandry, and processing of wine and brandy (singani) coexisted in varying proportions. Two types of farms generated the highest gross income. Type Div (Diversified) exhibited balanced cropping and livestock activities and strong interactions among them, with the highest proportion of fertilizers provided by manure, and animal feed provided by fodder crops and crop residues. Type Proc (Processing) was the most involved in the production of wine and singani, including grapes purchased from other producers. In contrast, type HortiViti (Horticulture and Viticulture) invested more in horticulture and suffered from poor market conditions. Farmers saw the traditional character and diversity of their farming systems as an opportunity, but suffered from competition with high-input farming systems and lack of technical support