ArticleJournal of experimental botany2020
Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform.
Article in Journal of experimental botany, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed.
- Atlas of glomerular disease-specific genetic effects on blood transcriptome.medRxiv : the preprint server for health sciences · 2026Article
- Persistent and transient QTLs underlying growth trajectory of plant height in sorghum.Journal of experimental botany · 2026Article
- An omnigenic interactome model to chart the genetic architecture of individual plants.Horticulture research · 2026Article
- Comparative analysis of genomic prediction approaches for multiple time-resolved traits in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide association analysis reveals natural genetic variations controlling canopy architecture traits in bread wheat.Scientific reports · 2026Article
- Genomic selection: Essence, applications, and prospects.The plant genome · 2025Review
- Genome-Wide Network Analysis of Above- and Below-Ground Co-growth inPlant phenomics (Washington, D.C.) · 2024Article
- Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches.Frontiers in plant science · 2023Article
- Genome-wide marker effect heterogeneity is associated with a large effect dormancy locus in winter malting barley.The plant genome · 2022Article
- Capturing crop adaptation to abiotic stress using image-based technologies.Open biology · 2022Review
- The Genetic Architecture of Juvenile Growth Traits in the ConiferFrontiers in plant science · 2022Article
- Genetic Analysis of Platform-Phenotyped Root System Architecture of Bread and Durum Wheat in Relation to Agronomic Traits.Frontiers in plant science · 2022Article
- FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits.STAR protocols · 2021Article
- Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize.The plant genome · 2021Article
- Genetic dissection of growth trajectories in forest trees: From FunMap to FunGraph.Forestry research · 2021Review
- Remote-Sensing-Combined Haplotype Analysis Using Multi-Parental Advanced Generation Inter-Cross Lines Reveals Phenology QTLs for Canopy Height in Rice.Frontiers in plant science · 2021Article
- Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci.Plant direct · 2020Article
- Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform.Journal of experimental botany · 2020Article
- High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field.Frontiers in bioengineering and biotechnology · 2020Review
- Impacts of G x E x M on Nitrogen Use Efficiency in Wheat and Future Prospects.Frontiers in plant science · 2020Review
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Authors and funding
9 authors.
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Abstract
Genetic studies increasingly rely on high-throughput phenotyping, but the resulting longitudinal data pose analytical challenges. We used canopy height data from an automated field phenotyping platform to compare several approaches to scanning for quantitative trait loci (QTLs) and performing genomic prediction in a wheat recombinant inbred line mapping population based on up to 26 sampled time points (TPs). We detected four persistent QTLs (i.e. expressed for most of the growing season), with both empirical and simulation analyses demonstrating superior statistical power of detecting such QTLs through functional mapping approaches compared with conventional individual TP analyses. In contrast, even very simple individual TP approaches (e.g. interval mapping) had superior detection power for transient QTLs (i.e. expressed during very short periods). Using spline-smoothed phenotypic data resulted in improved genomic predictive abilities (5-8% higher than individual TP prediction), while the effect of including significant QTLs in prediction models was relatively minor (<1-4% improvement). Finally, although QTL detection power and predictive ability generally increased with the number of TPs analysed, gains beyond five or 10 TPs chosen based on phenological information had little practical significance. These results will inform the development of an integrated, semi-automated analytical pipeline, which will be more broadly applicable to similar data sets in wheat and other crops.
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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.