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Heliaphen, an outdoor high-throughput phenotyping platform designed to integrate genetics and crop modeling
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/rob.21728openalex-snapshot
Efficient in‐field plant phenomics for row‐crops with an autonomous ground vehicle
inferredcites →https://doi.org/10.1007/978-3-319-20562-5_3openalex-snapshot
Modelling of Genotype by Environment Interaction and Prediction of Complex Traits across Multiple Environments as a Synthesis of Crop Growth Modelling, Genetics and Statistics
inferredcites →https://doi.org/10.1007/978-3-642-60684-7_2openalex-snapshot
Use of the Nitrogen Nutrition Index for the Analysis of Agronomical Data
inferredcites →https://doi.org/10.1007/978-94-009-8334-2_18openalex-snapshot
Main Factors Limiting Sunflower Yield in Dry Areas
inferredcites →https://doi.org/10.1007/s00122-013-2066-0openalex-snapshot
Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement
inferredcites →https://doi.org/10.1007/s00122-013-2231-5openalex-snapshot
Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions
inferredcites →https://doi.org/10.1007/s00122-016-2691-5openalex-snapshot
Envirotyping for deciphering environmental impacts on crop plants
inferredcites →https://doi.org/10.1007/s10725-013-9858-8openalex-snapshot
The regulatory role of riboflavin in the drought tolerance of tobacco plants depends on ROS production
inferredcites →https://doi.org/10.1007/s10725-017-0317-9openalex-snapshot
Involvement of jasmonates in responses of sunflower (Helianthus annuus) seedlings to moderate water stress
inferredcites →https://doi.org/10.1007/s11027-010-9219-0openalex-snapshot
Impact and adaptation opportunities for European agriculture in response to climatic change and variability
inferredcites →https://doi.org/10.1007/s13593-013-0170-9openalex-snapshot
Agronomic model uses to predict cultivar performance in various environments and cropping systems. A review
inferredcites →https://doi.org/10.1007/s13593-015-0306-1openalex-snapshot
How to implement biodiversity-based agriculture to enhance ecosystem services: a review
inferredcites →https://doi.org/10.1016/j.agrformet.2010.09.012openalex-snapshot
SUNFLO, a model to simulate genotype-specific performance of the sunflower crop in contrasting environments
inferredcites →https://doi.org/10.1016/j.ecolmodel.2009.10.014openalex-snapshot
Development and test of a crop growth model for application within a Global Change decision support system
inferredcites →https://doi.org/10.1016/j.eja.2008.02.001openalex-snapshot
Thresholds for leaf expansion and transpiration response to soil water deficit in a range of sunflower genotypes
inferredcites →https://doi.org/10.1016/j.eja.2015.07.004openalex-snapshot
Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review
inferredcites →https://doi.org/10.1016/j.eja.2016.09.001openalex-snapshot
A model-based approach to assist variety evaluation in sunflower crop
inferredcites →https://doi.org/10.1016/j.eja.2018.02.004openalex-snapshot
Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding
inferredcites →https://doi.org/10.1016/j.envexpbot.2017.08.005openalex-snapshot
Water-stressed sunflower transcriptome analysis revealed important molecular markers involved in drought stress response and tolerance
inferredcites →https://doi.org/10.1016/j.envsoft.2012.03.011openalex-snapshot
An open platform to build, evaluate and simulate integrated models of farming and agro-ecosystems
inferredcites →https://doi.org/10.1016/j.fcr.2016.04.010openalex-snapshot
Source and sink indicators for determining nitrogen, plant density and genotype effects on oil and protein contents in sunflower achenes
inferredcites →https://doi.org/10.1016/j.landusepol.2011.07.003openalex-snapshot
European Soil Data Centre: Response to European policy support and public data requirements
inferredcites →https://doi.org/10.1016/j.proenv.2015.07.176openalex-snapshot
Platform Development for Drought Tolerance Evaluation of Wheat in France
inferredcites →https://doi.org/10.1016/j.simpat.2008.11.003openalex-snapshot
The Virtual Laboratory Environment – An operational framework for multi-modelling, simulation and analysis of complex dynamical systems
inferredcites →https://doi.org/10.1016/j.tplants.2005.11.002openalex-snapshot
Abiotic stress, the field environment and stress combination
inferredcites →https://doi.org/10.1016/j.tplants.2006.10.006openalex-snapshot
Models for navigating biological complexity in breeding improved crop plants
inferredcites →https://doi.org/10.1016/s0378-4290(97)00037-3openalex-snapshot
Concepts in production ecology for analysis and quantification of agricultural input-output combinations
inferredcites →https://doi.org/10.1038/nature01014openalex-snapshot
Agricultural sustainability and intensive production practices
inferredcites →https://doi.org/10.1038/nature22380openalex-snapshot
The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution
inferredcites →https://doi.org/10.1038/ng.2314openalex-snapshot
An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations
inferredcites →https://doi.org/10.1038/ng1702openalex-snapshot
A unified mixed-model method for association mapping that accounts for multiple levels of relatedness
inferredcites →https://doi.org/10.1051/ocl/2016052openalex-snapshot
Sunflower crop and climate change: vulnerability, adaptation, and mitigation potential from case-studies in Europe
inferredcites →https://doi.org/10.1071/ar01070openalex-snapshot
Using crop simulation to generate genotype by environment interaction effects for sorghum in water-limited environments
inferredcites →https://doi.org/10.1071/cp14007openalex-snapshot
Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction
inferredcites →https://doi.org/10.1071/fp02076openalex-snapshot
Understanding plant responses to drought — from genes to the whole plant
inferredcites →https://doi.org/10.1071/fp05047openalex-snapshot
Potential yield and water-use efficiency benefits in sorghum from limited maximum transpiration rate
inferredcites →https://doi.org/10.1071/fp09189openalex-snapshot
Quantifying physiological determinants of genetic variation for yield potential in sunflower. SUNFLO: a model-based analysis
inferredcites →https://doi.org/10.1071/fp12052openalex-snapshot
GlyPh: a low-cost platform for phenotyping plant growth and water use
inferredcites →https://doi.org/10.1071/fp15235openalex-snapshot
Effects of plant growth stage and leaf aging on the response of transpiration and photosynthesis to water deficit in sunflower
inferredcites →https://doi.org/10.1071/fpv39n11_inopenalex-snapshot
Phenotyping plants: genes, phenes and machines
inferredcites →https://doi.org/10.1093/aob/mcx148openalex-snapshot
Wheat genetic resources in the post-genomics era: promise and challenges
inferredcites →https://doi.org/10.1093/bioinformatics/bti222openalex-snapshot
CARHTA GENE: multipopulation integrated genetic and radiation hybrid mapping
inferredcites →https://doi.org/10.1093/bioinformatics/btp616openalex-snapshot
edgeR : a Bioconductor package for differential expression analysis of digital gene expression data
inferredcites →https://doi.org/10.1093/jxb/ern087openalex-snapshot
Genetic variability for leaf growth rate and duration under water deficit in sunflower: analysis of responses at cell, organ, and plant level
inferredcites →https://doi.org/10.1093/jxb/erq329openalex-snapshot
Yield–trait performance landscapes: from theory to application in breeding maize for drought tolerance
inferredcites →https://doi.org/10.1093/jxb/err269openalex-snapshot
Any trait or trait-related allele can confer drought tolerance: just design the right drought scenario
inferredcites →https://doi.org/10.1093/jxb/ert337openalex-snapshot
Analysis of functional redundancies within the Arabidopsis TCP transcription factor family
inferredcites →https://doi.org/10.1093/jxb/erv049openalex-snapshot
In silicosystem analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management
inferredcites →https://doi.org/10.1104/pp.112.200303openalex-snapshot
Arabidopsis Class I and Class II TCP Transcription Factors Regulate Jasmonic Acid Metabolism and Leaf Development Antagonistically
inferredcites →https://doi.org/10.1105/tpc.16.00286openalex-snapshot
SMAX1-LIKE7 signals from the nucleus to regulate shoot development in Arabidopsis via partially EAR motif-independent mechanisms
inferredcites →https://doi.org/10.1111/j.1365-313x.2006.02865.xopenalex-snapshot
Cross‐talk between ethylene and drought signalling pathways is mediated by the sunflower Hahb‐4 transcription factor
inferredcites →https://doi.org/10.1111/j.1469-8137.2005.01609.xopenalex-snapshot
PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit
inferredcites →https://doi.org/10.1111/j.1744-7909.2012.01116.xopenalex-snapshot
High‐throughput Phenotyping and Genomic Selection: The Frontiers of Crop Breeding Converge F
inferredcites →https://doi.org/10.1111/nph.12192openalex-snapshot
Large‐scale characterization of drought pattern: a continent‐wide modelling approach applied to the Australian wheatbelt – spatial and temporal trends
inferredcites →https://doi.org/10.1111/nph.14027openalex-snapshot
High‐throughput estimation of incident light, light interception and radiation‐use efficiency of thousands of plants in a phenotyping platform
inferredcites →https://doi.org/10.1111/pce.12961openalex-snapshot
Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modelling and genome‐wide association
inferredcites →https://doi.org/10.1111/pce.13001openalex-snapshot
Using numerical plant models and phenotypic correlation space to design achievable ideotypes
inferredcites →https://doi.org/10.1111/plb.12627openalex-snapshot
Ectopic expression of glycosyltransferase UGT 76E11 increases flavonoid accumulation and enhances abiotic stress tolerance in Arabidopsis
inferredcites →https://doi.org/10.1111/ppl.12520openalex-snapshot
The Arabidopsis UGT87A2 , a stress‐inducible family 1 glycosyltransferase, is involved in the plant adaptation to abiotic stresses
inferredcites →https://doi.org/10.1111/tpj.13324openalex-snapshot
The Arabidopsis UDP‐glycosyltransferases UGT79B2 and UGT79B3, contribute to cold, salt and drought stress tolerance via modulating anthocyanin accumulation
inferredcites →https://doi.org/10.1126/sciadv.1400218openalex-snapshot
Genome-environment associations in sorghum landraces predict adaptive traits
inferredcites →https://doi.org/10.1126/science.1111772openalex-snapshot
Global Consequences of Land Use
inferredcites →https://doi.org/10.1146/annurev-arplant-042817-040218openalex-snapshot
The Physiological Basis of Drought Tolerance in Crop Plants: A Scenario-Dependent Probabilistic Approach
inferredcites →https://doi.org/10.1186/s40529-014-0075-1openalex-snapshot
Hydraulic conductivity and contribution of aquaporins to water uptake in roots of four sunflower genotypes
inferredcites →https://doi.org/10.1201/b10345openalex-snapshot
Exploratory Multivariate Analysis by Example Using R
inferredcites →https://doi.org/10.1201/b21874openalex-snapshot
Exploratory Multivariate Analysis by Example Using R
inferredcites →https://doi.org/10.1371/journal.pone.0045249openalex-snapshot
A Gene-Phenotype Network Based on Genetic Variability for Drought Responses Reveals Key Physiological Processes in Controlled and Natural Environments
inferredcites →https://doi.org/10.1371/journal.pone.0097047openalex-snapshot
High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines
inferredcites →https://doi.org/10.1371/journal.pone.0101218openalex-snapshot
Genetic Control of Water Use Efficiency and Leaf Carbon Isotope Discrimination in Sunflower (Helianthus annuus L.) Subjected to Two Drought Scenarios
inferredcites →https://doi.org/10.1371/journal.pone.0146385openalex-snapshot
Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis
inferredcites →https://doi.org/10.1371/journal.pone.0157522openalex-snapshot
Transcriptome Analysis of Sunflower Genotypes with Contrasting Oxidative Stress Tolerance Reveals Individual- and Combined- Biotic and Abiotic Stress Tolerance Mechanisms
inferredcites →https://doi.org/10.1534/genetics.109.105429openalex-snapshot
Simulating the Yield Impacts of Organ-Level Quantitative Trait Loci Associated With Drought Response in Maize: A “Gene-to-Phenotype” Modeling Approach
inferredcites →https://doi.org/10.2134/agronj2003.0032openalex-snapshot
Genetic Coefficients in the CROPGRO–Soybean Model
inferredcites →https://doi.org/10.2134/agronj2003.0099openalex-snapshot
Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects
inferredcites →https://doi.org/10.2134/agronj2008.0139sopenalex-snapshot
AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles
inferredcites →https://doi.org/10.2788/94128openalex-snapshot
Mapping Soil Properties for Europe – Spatial Representation of Soil Database Attributes
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fpls.2016.01873openalex-snapshot
Optimization of Allelic Combinations Controlling Parameters of a Peach Quality Model
inferredcites →https://doi.org/10.3389/fpls.2017.01976openalex-snapshot
Biomass Allocation Patterns Are Linked to Genotypic Differences in Whole-Plant Transpiration Efficiency in Sunflower
inferredcites →https://doi.org/10.3390/ijms131114086openalex-snapshot
Arabidopsis RIBA Proteins: Two out of Three Isoforms Have Lost Their Bifunctional Activity in Riboflavin Biosynthesis
inferredcites →https://doi.org/10.5220/0006126404590467openalex-snapshot
Model-based Segmentation of 3D Point Clouds for Phenotyping Sunflower Plants
inferredcites →https://doi.org/10.5511/plantbiotechnology.13.0905bopenalex-snapshot
ATL54, a ubiquitin ligase gene related to secondary cell wall formation, is transcriptionally regulated by MYB46
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11306-019-1515-4openalex-snapshot
Metabolomic characterization of sunflower leaf allows discriminating genotype groups or stress levels with a minimal set of metabolic markers
inferred← citeshttps://doi.org/10.1016/j.dib.2018.10.045openalex-snapshot
Data describing the eco-physiological responses of twenty-four sunflower genotypes to water deficit
inferred← citeshttps://doi.org/10.70675/6ea29acazbfa1z4099z8e47z6fdb5ba4bcbfopenalex-snapshot
Analyse écophysiologique et modélisation dynamique des intéractions génotype x environnement x conduite de culture chez le soja
inferred← citeshttps://doi.org/10.70675/f5844c70z1439z459azb4cbz809345e3a787openalex-snapshot
Caractérisation génétique, moléculaire et physiologique du locus Or7 de résistance à Orobanche cumana chez le tournesol
inferred← citeshttps://doi.org/10.70675/fee9a365z3ea1z488bz935czccae15800030openalex-snapshot
Modélisation 3D et suivi visuel pour caractériser le phénotype de variétés de tournesol
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