ArticlePlant methods2019
Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat.
Article in Plant methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Temporal GWAS and QTL mapping of UAV-derived digital canopy height reveals stage-specific genetic effects in bread wheat.Plant phenomics (Washington, D.C.) · 2026Article
- Beyond Data: Artificial intelligence, knowledge graphs, and the next revolution in wheat breeding.Plant communications · 2026Review
- Evaluating UAV-based phenotyping strategies forFrontiers in plant science · 2026Article
- 110 years of rice breeding at LSU: realized genetic gains and future optimization.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Evaluating Sensor Fusion and Flight Parameters for Enhanced Plant Height Measurement in Dry Peas.Sensors (Basel, Switzerland) · 2025Article
- Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery.Plant phenomics (Washington, D.C.) · 2025Article
- Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheat.Molecular breeding : new strategies in plant improvement · 2024Article
- Selection of M5 mutant lines of wheat (Frontiers in plant science · 2024Article
- Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Plant phenomics (Washington, D.C.) · 2024Article
- Crop growth dynamics: Fast automatic analysis of LiDAR images in field-plot experiments by specialized software ALFA.PloS one · 2024Article
- Overexpression of 9-International journal of molecular sciences · 2023Article
- Field phenotyping for African crops: overview and perspectives.Frontiers in plant science · 2023Review
- The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field.Plant phenomics (Washington, D.C.) · 2023Article
- Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data.Plant phenomics (Washington, D.C.) · 2023Article
- A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple.Journal of advanced research · 2022Article
- AirMeasurer: open-source software to quantify static and dynamic traits derived from multiseason aerial phenotyping to empower genetic mapping studies in rice.The New phytologist · 2022Article
- Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.).Plant methods · 2022Article
- High-throughput field crop phenotyping: current status and challenges.Breeding science · 2022Article
- Haplotype analysis from unmanned aerial vehicle imagery of rice MAGIC population for the trait dissection of biomass and plant architecture.Journal of experimental botany · 2021Article
- Development and Validation of Methodology for Estimating Potato Canopy Structure for Field Crop Phenotyping and Improved Breeding.Frontiers in plant science · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPlant height is an important selection target since it is associated with yield potential, stability and particularly with lodging resistance in various environments. Rapid and cost-effective estimation of plant height from airborne devices using a digital surface model can be integrated with academic research and practical wheat breeding programs. A bi-parental wheat population consisting of 198 doubled haploid lines was used for time-series assessments of progress in reaching final plant height and its accuracy was assessed by quantitative genomic analysis. UAV-based data were collected at the booting and mid-grain fill stages from two experimental sites and compared with conventional measurements to identify quantitative trait loci (QTL) underlying plant height.
resultsA significantly high correlation of
conclusionThis study provides a fast way to obtain time-series estimates of plant height in understanding growth dynamics in bread wheat. UAV-enabled phenotyping is an effective, high-throughput and cost-effective approach to understand the genetic basis of plant height in genetic studies and practical breeding.
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