A5009515400- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Pathogens and Fungal Diseases
- Plant-Microbe Interactions and Immunity
- Plant Parasitism and Resistance
- Plant Virus Research Studies
- Malaria Research and Control
- Plant Reproductive Biology
- Insect-Plant Interactions and Control
- Plant pathogens and resistance mechanisms
- Agriculture and Rural Development Research
- Genomics, phytochemicals, and oxidative stress
- Genetic Mapping and Diversity in Plants and Animals
- CCD and CMOS Imaging Sensors
- Agroforestry and silvopastoral systems
- Peroxisome Proliferator-Activated Receptors
- Plant Disease Management Techniques
- Legume Nitrogen Fixing Symbiosis
- Trypanosoma species research and implications
- Plant Pathogenic Bacteria Studies
- CRISPR and Genetic Engineering
- Plant Molecular Biology Research
- Agronomic Practices and Intercropping Systems
- Metal-Catalyzed Oxygenation Mechanisms
- Cooperative Studies and Economics
Centre Occitanie-Montpellier
2023-2025
Institut de Recherche pour le Développement
2023-2025
Institut Agro Montpellier
2023-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2023-2025
L'Institut Agro
2023-2025
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
2023-2025
Université de Montpellier
2023-2025
Institut des Sciences des Plantes de Paris Saclay
2025
Plant Health Institute de Montpellier
2023-2024
Abstract Background Investigations on plant-pathogen interactions require quantitative, accurate, and rapid phenotyping of crop diseases. However, visual assessment disease symptoms is preferred over available numerical tools due to transferability challenges. These assessments are laborious, time-consuming, expertise, rater dependent. More recently, deep learning has produced interesting results for evaluating plant Nevertheless, it yet be used quantify the severity Septoria tritici blotch...
Plants interact with each other via a multitude of processes among which belowground communication facilitated by specialized metabolites plays an important but overlooked role. Until now, the exact targets, modes action, and resulting phenotypes that these induce in neighboring plants have remained largely unknown. Moreover, positive interactions driven release root exudates are prevalent both natural field conditions controlled laboratory environments. In particular, intraspecific suggest...
The antioxidative enzyme monodehydroascorbate reductase (MDHAR) is represented by five genes in Arabidopsis, including four that encode cytosolic and peroxisomal proteins. planta importance of these specific isoforms during oxidative stress remain to be characterised. T-DNA mutants for MDAR encoding were studied. To examine their roles conditions intracellular stress, crossed with a cat2 line lacking the major leaf catalase. Enzyme assays mdar recombinant MDHARs suggest MDHAR1 MDHAR2 are...
Cereal-legume intercropping is a promising strategy for sustainable agroecosystems. The traditional of maize and bean experiencing revival in some modern agricultural settings, such as southwestern France, where hybrids are intercropped with the commercialized Tarbais bean. We conducted on-farm surveys to address following questions: How do sole cropping impact yield, nutrient uptake rhizosphere bacterial assemblages? Do positive or negative interactions between dominate at phenotypic level?...
Abstract Varietal mixtures are a promising agro-ecological approach to stabilizing yields by reducing diseases. The effects of stem from modifications epidemiological processes and plant-plant interactions, which could explain some the paradoxical observations made in field. However, role interactions modifying bread wheat durum susceptibility septoria tritici blotch remains be elucidated. Our study aimed determine effect such producing full matrices binary absence epidemics, on...
Abstract Background Quantitative, accurate, and high-throughput phenotyping of crop diseases is needed for breeding programs plant-pathogen interaction investigations. However, difficulties in the transferability available numerical tools encourage maintaining visual assessment disease symptoms, although this laborious, time-consuming, requires expertise, rater dependent. Deep learning has produced interesting results plant evaluation, but not yet been used to quantify severity Septoria...
Landraces are important resources for breeding programs. However, the diversity harbored at genomic level by landraces is yet to be analyzed. Here we sequenced more than 200 individual plants from long-lasting and durably resistant rice landrace Acuce (Oryza sativa subsp. indica). We found that exhibits levels as high 38% of entire indica sub-species. pinpoint signatures selection in favor polymorphism associated with resistance, but not other agronomic trait genes. Furthermore, provide...
Multipartite viruses exhibit a fragmented genome composed of several nucleic acid segments individually packaged in distinct viral particles. The all species the genus Nanovirus holds eight segments, which accumulate at very specific and reproducible relative frequency host plant tissues. In given species, steady state pattern segments' frequencies is designated formula thought to have an adaptive function through modulation gene expression. Nanoviruses are aphid-transmitted circulative...
<title>Abstract</title> Identifying the genetic determinants underlying plant-plant interactions is key for understanding plant community dynamics, both in natural and agronomical systems. This report unveils complex architecture of interaction effects on aerial biomass septoria tritici blotch severity varietal mixtures wheat, using co-genome-wide association study. Fifty-four significant allelic between distinct loci were identified, with half involving hub loci. Some inter-individual...