A5050160801- Spectroscopy and Chemometric Analyses
- Leaf Properties and Growth Measurement
- Remote Sensing in Agriculture
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Horticultural and Viticultural Research
- Genetic Mapping and Diversity in Plants and Animals
- Crop Yield and Soil Fertility
- Sustainable Agricultural Systems Analysis
- Genetic and phenotypic traits in livestock
- Bioenergy crop production and management
- Fermentation and Sensory Analysis
- Smart Agriculture and AI
- Food composition and properties
- Insect-Plant Interactions and Control
- Genomics and Phylogenetic Studies
- Plant responses to elevated CO2
- Agronomic Practices and Intercropping Systems
- Plant and fungal interactions
- Microbial Community Ecology and Physiology
- Greenhouse Technology and Climate Control
- Radiomics and Machine Learning in Medical Imaging
- Photosynthetic Processes and Mechanisms
- Water Quality Monitoring and Analysis
- Plant-Microbe Interactions and Immunity
Université de Montpellier
2017-2025
Institut Agro Montpellier
2017-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2025
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
2017-2025
Agropolis International
2011-2023
Genetic Improvement and Adaptation of Mediterranean and Tropical Plants
2013-2023
L'Institut Agro
2021
Institut National de la Recherche Agronomique du Niger
2011-2016
Institut National de la Recherche Agronomique
2012-2013
Diversité, adaptation et développement des plantes
2010
Abstract Human selection, changes in environmental conditions and management practices drove the phenotypic trajectory of crops during domestication. The characterization crop domestication syndrome lies mostly on reproductive characters. However, biophysical ecophysiological constraints vegetative growth are also at play can strongly impact phenotypes. It has been argued that a broadened examination phenotypes through functional trait‐based lens should improve our understanding syndrome. We...
Phenomic prediction has been defined as an alternative to genomic by using spectra instead of molecular markers. A reflectance spectrum provides information on the biochemical composition within a tissue, itself being under genetic determinism. Thus, relationship matrix built from could potentially capture signal. This new methodology mainly applied in several annual crop species but little is known so far about its interest perennial species. Besides, phenomic only tested for restricted set...
Abstract Ecological theories suggest that higher plant genetic diversity can increase productivity in natural ecosystems. So far, varietal mixtures, is, the cultivation of different genotypes within a field, have shown contrasting results, notably for grain yield where both positive and negative mixing effects been reported. Such discrepancy between ecological agronomical applications calls better understanding plant–plant interactions crops. Using durum wheat Triticum turgidum ssp. as model...
The trait-based approach in plant ecology aims at understanding and classifying the diversity of ecological strategies by comparing morphology physiology across organisms. major drawback is that time financial cost measuring traits on many individuals environments can be prohibitive. We show combining near-infrared spectroscopy (NIRS) with deep learning resolves this limitation quickly, non-destructively, accurately a suite traits, including morphology, chemistry, metabolism. Such an also...
A classic example of phenotypic plasticity in plants is the suit responses induced by a change ratio red to far-red light (R∶FR) as result shading, also known shade avoidance syndrome (SAS). While adaptive consequences this have been extensively discussed natural ecosystems, how SAS varies within crop populations and evolved during domestication breeding remain poorly known. In study, we grew panel 180 durum wheat (Triticum turgidum ssp. durum) genotypes spanning diversity from wild, early...
ABSTRACT In wheat ( Triticum spp.), the N content of leaves during grain filling period (GFP) plays a key role in maintaining photosynthetic activity and determining amount available for protein (GPC). We documented flag leaf resorption durum turgidum L.) plants under nonlimiting level 2010 two different levels fertilization 2011. During GFP, we monitored changes by nondestructive method based on near‐infrared spectroscopy. The datasets were modeled each plant; parameters extracted analyzed...
Lower plant resistance to herbivores following domestication has been suggested as the main cause for higher feeding damage in crops than wild progenitors. While herbivore compensatory also proposed a possible mechanism raised with low nutritional quality, predictions regarding effects of on quality remain unclear. In particular, data primary metabolites, even major macronutrients, measured organs consumed by herbivores, are scarce. this study, we used collection 10 accessions ancestors and...
The aim of the study was to test potentiality field close-range hyperspectral images obtain nitrogen content wheat leaves in field. Field measurements imply several potential disturbances recorded signal: illumination level, specular reflection, multiple reflections, etc. Chemo-metrical model calibration procedure has take them into account. We tested following methodology. First we calibrated a chemometrical between and non-disturbed reflectance signal flat isolated leaves. Thus evaluated...
Abstract Phenomic prediction has been defined as an alternative to genomic by using spectra instead of molecular markers. A reflectance spectrum reflects the biochemical composition within a tissue, under genetic determinism. Thus, relationship matrix built from could potentially capture signal. This new methodology successfully applied in several cereal species but little is known so far about its interest perennial species. Besides, phenomic only tested for restricted set traits, mainly...