ArticleHorticulture research2024
Converging functional phenotyping with systems mapping to illuminate the genotype-phenotype associations.
Article in Horticulture research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Narrative Review of Nanomaterial Interactions in Plants with a Focus on Multi-Omics and Epigenetic Remodeling.Plants (Basel, Switzerland) · 2026Review
- A CLE11b-CLE16 Signaling Relay Mediates Root-Shoot-Root Crosstalk for Drought Adaptation in Common Bean.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Polyploidy and Mutagenic Germplasm Innovation in Minor Legumes: Paradigm Shift and Challenges from Model Crops to Mung Bean.Plants (Basel, Switzerland) · 2026Review
- Dynamic water relations and alternative splicing in common bean under progressive soil drought and recovery.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- From phenomics to post-phenomics: Multidisciplinary integration driving autonomous agricultural systems.Plant communications · 2026Article
- Balancing accuracy, completeness, and efficiency for rice 3D reconstruction through CBAM-UNet-based multi-view segmentation and camera configuration optimization.Frontiers in plant science · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Illuminating the phenotype-genotype black box under complex traits is an ambitious goal for researchers. The generation of temporally or spatially phenotypic data today has far outpaced its interpretation, due to their highly dynamic nature depending on the environment and developmental stages. Here, we propose an integrated enviro-pheno-geno functional approach to pinpoint the major challenges of decomposing physiological traits. The strategy first features high-throughput functional physiological phenotyping (FPP) to efficiently acquire phenotypic and environmental data. It then features functional mapping (FM) and the extended systems mapping (SM) to tackle trait dynamics. FM, by modeling traits as continuous functions, can increase the power and efficiency in dissecting the spatiotemporal effects of QTLs. SM could enable reconstruction of a genotype-phenotype map from developmental pathways. We present a recent case study that combines FPP and SM to dissect complex physiological traits. This integrated approach will be an important engine to drive the translation of phenomic big data into genetic gain.
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Registered trials
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