ArticlePlant physiology2020
Increased Power and Accuracy of Causal Locus Identification in Time Series Genome-wide Association in Sorghum.
Article in Plant physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis identifies pleiotropic loci controlling phenotypic trade-offs in sorghum.Genetics · 2021Pooled it
- Phenomics-derived temporal maize health and environmental index enhance physiology-informed genomic prediction of yield across environments.Plant physiology · 2026Article
- Persistent and transient QTLs underlying growth trajectory of plant height in sorghum.Journal of experimental botany · 2026Article
- Machine learning-based prediction of dynamic heterosis for plant height with pathway biomarkers in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide association studies and modeling of stomatal gas conductance reveal genetic control of water-use efficiency in sorghum.Plant physiology · 2026Article
- MINE: maximally informative next experiment-toward a new GWAS experimental design and methodology.G3 (Bethesda, Md.) · 2025Article
- Crop growth model-enabled genetic mapping of biomass accumulation dynamics in photoperiod-sensitive sorghum.The plant genome · 2025Article
- Genes and pathways determining flowering time variation in temperate-adapted sorghum.The Plant journal : for cell and molecular biology · 2025Article
- Unveiling shared genetic regulators of plant architectural and biomass yield traits in the Sorghum Association Panel.Journal of experimental botany · 2025Article
- GenoSee: a novel visualization tool for graphical genotypes.Breeding science · 2024Article
- Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize.G3 (Bethesda, Md.) · 2024Article
- Cotton morphological traits tracking through spatiotemporal registration of terrestrial laser scanning time-series data.Frontiers in plant science · 2024Article
- Deleterious mutations predicted in the sorghum (Sorghum bicolor) Maturity (Ma) and Dwarf (Dw) genes from whole-genome resequencing.Scientific reports · 2023Article
- LeafSpec-Dicot: An Accurate and Portable Hyperspectral Imaging Device for Dicot Leaves.Sensors (Basel, Switzerland) · 2023Article
- Functional genomic effects of indels using Bayesian genome-phenome wide association studies in sorghum.Frontiers in genetics · 2023Article
- High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants.Plant phenomics (Washington, D.C.) · 2023Article
- A novel Synthetic phenotype association study approach reveals the landscape of association for genomic variants and phenotypes.Journal of advanced research · 2022Article
- Variation in morpho-physiological and metabolic responses to low nitrogen stress across the sorghum association panel.BMC plant biology · 2022Article
- Sorghum Association Panel whole-genome sequencing establishes cornerstone resource for dissecting genomic diversity.The Plant journal : for cell and molecular biology · 2022Article
- From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas.Journal of multivariate analysis · 2022Article
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The phenotypes of plants develop over time and change in response to the environment. New engineering and computer vision technologies track these phenotypic changes. Identifying the genetic loci regulating differences in the pattern of phenotypic change remains challenging. This study used functional principal component analysis (FPCA) to achieve this aim. Time series phenotype data were collected from a sorghum (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.