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High-Resolution Inflorescence Phenotyping Using a Novel Image-Analysis Pipeline, PANorama
Samuel Crowell1, Alexandre X Falcão1, Ankur Shah1
1Department of Plant Biology (S.C., S.R.M.) and Department of Plant Breeding and Genetics (A.X.F., A.S., Z.W., A.J.G., S.R.M.), Cornell University, Ithaca, New York 14853; andDepartment of Information Systems Institute of Computing, University of Campinas, CEP 13083-852 Sao Paulo, Brazil (A.X.F.).
Researchers developed PANorama, an open-source platform for efficient and accurate rice panicle phenotyping. This tool aids in identifying numerous quantitative trait loci (QTLs) for improved yield and grain quality in rice breeding.
Area of Science:
- Plant Science
- Genetics
- Agricultural Science
Background:
- Inflorescence development variation is crucial for crop selection, particularly in grasses like rice (Oryza sativa).
- Panicle architecture in rice significantly impacts yield and grain quality, yet complex measurements hinder breeder selection.
- Current phenotyping methods for rice panicles are resource-intensive and less efficient.
Purpose of the Study:
- To develop an open-source phenotyping platform, PANorama, for simultaneous measurement of rice panicle architectural and branching traits.
- To improve the efficiency and accuracy of panicle phenotyping compared to existing methods.
- To identify quantitative trait loci (QTLs) associated with panicle traits using high-resolution phenotyping data.
Main Methods:
- Development of PANorama, an open-source platform for automated image-based phenotyping of plant organs.
- PANorama extracts skeletons, subdivides axes into internodes, and filters interfering structures like awns.
- Utilized high-resolution phenotypes, a recombinant inbred line population, and dense single-nucleotide polymorphism data for QTL analysis.
Main Results:
- PANorama demonstrated improved efficiency and accuracy in phenotyping compared to existing platforms.
- Identified the largest number of QTLs for panicle traits reported in a single study.
- Discovered pleiotropic clusters of panicle QTLs, including near the SEMIDWARF1 gene, and confirmed distinct panicle phenotypes across diverse rice varieties.
Conclusions:
- Clusters of small-effect QTLs likely underlie varietal or subpopulation-specific panicle traits in rice.
- PANorama offers a flexible and powerful tool for precise phenotyping across various plant species.
- These findings present significant opportunities for rice breeders to enhance yield performance through targeted selection.
