Charlotte Brault

ORCID: 0000-0001-7892-4236
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About
Contact & Profiles
Research Areas
  • Horticultural and Viticultural Research
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Fermentation and Sensory Analysis
  • Genetics and Plant Breeding
  • Spectroscopy and Chemometric Analyses
  • Plant and animal studies
  • Meat and Animal Product Quality
  • Photosynthetic Processes and Mechanisms
  • Bioeconomy and Sustainability Development
  • Plant Physiology and Cultivation Studies
  • Plant Water Relations and Carbon Dynamics
  • Agriculture and Rural Development Research
  • Wheat and Barley Genetics and Pathology
  • Spectroscopy Techniques in Biomedical and Chemical Research

University of Minnesota
2024-2025

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2024

Institut Agro Montpellier
2020-2024

Institut Français de la Vigne et du Vin
2020-2024

L'Institut Agro
2021-2022

Centre de Coopération Internationale en Recherche Agronomique pour le Développement
2020-2022

Université de Montpellier
2020-2022

Genetic Improvement and Adaptation of Mediterranean and Tropical Plants
2018-2022

Geno (Norway)
2021-2022

Agropolis International
2022

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...

10.1186/s13007-022-00940-9 article EN cc-by Plant Methods 2022-09-05

Grapevine (Vitis vinifera) breeding reaches a critical point. New cultivars are released every year with resistance to powdery and downy mildews. However, the traditional process remains time-consuming, taking 20-25 years, demands evaluation of new traits enhance grapevine adaptation climate change. Until now, selection has relied on phenotypic data limited number molecular markers for simple genetic such as pathogens, without clearly defined ideotype, was carried out large scale. To...

10.1093/g3journal/jkae038 article EN cc-by G3 Genes Genomes Genetics 2024-02-24

Abstract Fusarium head blight (FHB) is a fungal disease posing major threat to wheat production. Plant breeding that leverages genotyping an effective method improve the genetic resistance of cultivars. Started in 1995, uniform regional scab nursery (URSN) consists germplasm from several public programs Northern US region. Its main objective showcase new sources and enable exchange among cooperators; however, data URSN have not been studied. Phenotypic genotypic this were gathered, as well...

10.1002/tpg2.20559 article EN cc-by The Plant Genome 2025-02-06

Crop breeding involves two selection steps: choosing progenitors and selecting individuals within progenies. Genomic prediction, based on genome-wide marker estimation of genetic values, could facilitate these steps. However, its potential usefulness in grapevine (Vitis vinifera L.) has only been evaluated non-breeding contexts mainly through cross-validation a single population. We tested across-population genomic prediction more realistic configuration, from diversity panel to ten...

10.1093/hr/uhac041 article EN cc-by Horticulture Research 2022-01-01

Abstract Viticulture has to cope with climate change and decrease pesticide inputs, while maintaining yield wine quality. Breeding is a key lever meet this challenge, genomic prediction promising tool accelerate breeding programs. Multivariate methods are potentially more accurate than univariate ones. Moreover, some also provide marker selection, thus allowing quantitative trait loci (QTLs) detection the identification of positional candidate genes. To study both QTL for drought-related...

10.1093/g3journal/jkab248 article EN G3 Genes Genomes Genetics 2021-07-22

Abstract End‐use and processing traits in wheat ( Triticum aestivum L.) are crucial for varietal development but often evaluated only the advanced stages of breeding program due to amount grain needed labor‐intensive phenotyping assays. Advances genomic resources have provided new tools address selection these complex earlier process. We used association mapping identify key variants underlying various end‐use quality evaluate usefulness prediction hard red spring from Northern United...

10.1002/tpg2.20529 article EN cc-by-nc-nd The Plant Genome 2024-11-13

Abstract Crop breeding involves two selection steps: choosing progenitors and selecting offspring within progenies. Genomic prediction, based on genome-wide marker estimation of genetic values, could facilitate these steps. However, its potential usefulness in grapevine ( Vitis vinifera L.) has only been evaluated non-breeding contexts mainly through cross-validation a single population. We tested across-population genomic prediction more realistic configuration, from diversity panel to ten...

10.1101/2021.07.29.454290 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-07-30

Abstract Grapevine ( Vitis vinifera ) breeding reaches a critical point. New cultivars are released every year with resistance to powdery and downy mildews. However, the traditional process remains time-consuming, taking 20 25 years, demands evaluation of new traits enhance grapevine adaptation climate change. Until now, selection has relied on phenotypic data limited number molecular markers for simple genetic such as pathogens, without clearly defined ideotype was carried out large scale....

10.1101/2023.07.31.551371 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-08-03

ABSTRACT Viticulture has to cope with climate change and decrease pesticide inputs, while maintaining yield wine quality. Breeding is a potential key meet this challenge, genomic prediction promising tool accelerate breeding programs, multivariate methods being potentially more accurate than univariate ones. Moreover, some also provide marker selection, thus allowing quantitative trait loci (QTLs) detection the identification of positional candidate genes. We applied several methods,...

10.1101/2020.10.26.355420 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-10-28

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...

10.1101/2021.12.16.472608 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-12-17
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