ArticleThe Plant cell2014
Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis.
Article in The Plant cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers.
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Who cites it
153 citing papers in PubMed.
- Temporal phenotypic responses of early vegetative maize to heat, drought, and combined stresses.The Plant journal : for cell and molecular biology · 2026Article
- Association mapping for canopy temperature under irrigated and rainfed conditions at 12 environments identified both known and novel genetic loci.The plant genome · 2026Article
- Integrating high-throughput phenomics and GWAS unravels the HaCBF4-Horticulture research · 2026Article
- Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Coleaf, an image recognition-driven approach facilitates the genome-wide association study with tea leaf morphology.Plant methods · 2026Article
- A prebiotic-based biostimulant enhances growth parameters, photosynthetic efficiency, and grain yield in rice (Frontiers in plant science · 2026Article
- CornPheno: Phenotyping corn ear kernels in the wild via point query transformer.Plant phenomics (Washington, D.C.) · 2025Article
- Optimized substrate selection for enhanced orchid growth based on high-throughput lysimetric arrays.Journal of Zhejiang University. Science. B · 2025Article
- Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process.PLoS computational biology · 2025Article
- A high-throughput phenotyping dataset for GWAS analysis of maize under combined drought and heat stress.Data in brief · 2025Article
- Multi-Scale Remote-Sensing Phenomics Integrated with Multi-Omics: Advances in Crop Drought-Heat Stress Tolerance Mechanisms and Perspectives for Climate-Smart Agriculture.Plants (Basel, Switzerland) · 2025Review
- The impact of asymmetrical gene expression on the development of spike morphology iniMetaOmics · 2025Article
- Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift+.Plant phenomics (Washington, D.C.) · 2025Article
- Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Advancing radiation-induced mutant screening through high-throughput technology: a preliminary evaluation of mutant screening in Arabidopsis thaliana.Plant methods · 2025Article
- Phenomics-assisted genetic dissection and molecular design of drought resistance in rice.Plant communications · 2025Article
- Agricultural landscape genomics to increase crop resilience.Plant communications · 2025Review
- Prediction of harvest-related traits in barley using high-throughput phenotyping data and machine learning.Frontiers in plant science · 2025Article
- Temporally resolved growth patterns reveal novel information about the polygenic nature of complex quantitative traits.The Plant journal : for cell and molecular biology · 2024Article
- Visualizing Plant Responses: Novel Insights Possible Through Affordable Imaging Techniques in the Greenhouse.Sensors (Basel, Switzerland) · 2024Article
93 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Significantly improved crop varieties are urgently needed to feed the rapidly growing human population under changing climates. While genome sequence information and excellent genomic tools are in place for major crop species, the systematic quantification of phenotypic traits or components thereof in a high-throughput fashion remains an enormous challenge. In order to help bridge the genotype to phenotype gap, we developed a comprehensive framework for high-throughput phenotype data analysis in plants, which enables the extraction of an extensive list of phenotypic traits from nondestructive plant imaging over time. As a proof of concept, we investigated the phenotypic components of the drought responses of 18 different barley (Hordeum vulgare) cultivars during vegetative growth. We analyzed dynamic properties of trait expression over growth time based on 54 representative phenotypic features. The data are highly valuable to understand plant development and to further quantify growth and crop performance features. We tested various growth models to predict plant biomass accumulation and identified several relevant parameters that support biological interpretation of plant growth and stress tolerance. These image-based traits and model-derived parameters are promising for subsequent genetic mapping to uncover the genetic basis of complex agronomic traits. Taken together, we anticipate that the analytical framework and analysis results presented here will be useful to advance our views of phenotypic trait components underlying plant development and their responses to environmental cues.
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