Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum
Abstract Canopy architecture traits are associated with productivity in sorghum [Sorghum bicolor (L.) Moench], and they are commonly measured at the time of flowering or harvest. Little is known about the dynamics of canopy architecture traits through the growing season. Utilizing the ground‐based h...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | Plant Phenome Journal |
| Online Access: | https://doi.org/10.1002/ppj2.20092 |
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| _version_ | 1846107939913334784 |
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| author | Juan S. Panelo Yin Bao Lie Tang Patrick S. Schnable Maria G. Salas‐Fernandez |
| author_facet | Juan S. Panelo Yin Bao Lie Tang Patrick S. Schnable Maria G. Salas‐Fernandez |
| author_sort | Juan S. Panelo |
| collection | DOAJ |
| description | Abstract Canopy architecture traits are associated with productivity in sorghum [Sorghum bicolor (L.) Moench], and they are commonly measured at the time of flowering or harvest. Little is known about the dynamics of canopy architecture traits through the growing season. Utilizing the ground‐based high‐throughput phenotyping system Phenobot 1.0, we collected stereo images of a photoperiod‐sensitive and a photoperiod‐insensitive population over time to generate three‐dimensional (3D) representations of the canopy. Four descriptors were automatically extracted from the 3D point clouds: plot‐based plant height (PBPH), plot‐based plant width (PBPW), plant surface area (PSA), and convex hull volume (CHV). Additionally, genotypic growth rates were estimated for each canopy descriptor. Genome‐wide association analysis was performed on individual timepoints and the growth rates in both populations. We detected genotypic variation for each of the four canopy descriptors and their growth rates and discovered novel genomic regions associated with growth rates on chromosomes 1 (PBPH, CHV), 3 (PBPH), 4 (PBPH, PBPW), 5 (PBPH), 8 (PSA), and 9 (PBPW). These results provide new knowledge about the genetic control of canopy architecture, highlighting genomic regions that can be targeted in plant breeding programs. |
| format | Article |
| id | doaj-art-7d7e6b2c63bd46bb825e1ed952da7c92 |
| institution | Kabale University |
| issn | 2578-2703 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Plant Phenome Journal |
| spelling | doaj-art-7d7e6b2c63bd46bb825e1ed952da7c922024-12-26T07:44:35ZengWileyPlant Phenome Journal2578-27032024-12-0171n/an/a10.1002/ppj2.20092Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghumJuan S. Panelo0Yin Bao1Lie Tang2Patrick S. Schnable3Maria G. Salas‐Fernandez4Department of Agronomy Iowa State University Ames Iowa USADepartment of Agricultural and Biosystems Engineering Iowa State University Ames Iowa USADepartment of Agricultural and Biosystems Engineering Iowa State University Ames Iowa USADepartment of Agronomy Iowa State University Ames Iowa USADepartment of Agronomy Iowa State University Ames Iowa USAAbstract Canopy architecture traits are associated with productivity in sorghum [Sorghum bicolor (L.) Moench], and they are commonly measured at the time of flowering or harvest. Little is known about the dynamics of canopy architecture traits through the growing season. Utilizing the ground‐based high‐throughput phenotyping system Phenobot 1.0, we collected stereo images of a photoperiod‐sensitive and a photoperiod‐insensitive population over time to generate three‐dimensional (3D) representations of the canopy. Four descriptors were automatically extracted from the 3D point clouds: plot‐based plant height (PBPH), plot‐based plant width (PBPW), plant surface area (PSA), and convex hull volume (CHV). Additionally, genotypic growth rates were estimated for each canopy descriptor. Genome‐wide association analysis was performed on individual timepoints and the growth rates in both populations. We detected genotypic variation for each of the four canopy descriptors and their growth rates and discovered novel genomic regions associated with growth rates on chromosomes 1 (PBPH, CHV), 3 (PBPH), 4 (PBPH, PBPW), 5 (PBPH), 8 (PSA), and 9 (PBPW). These results provide new knowledge about the genetic control of canopy architecture, highlighting genomic regions that can be targeted in plant breeding programs.https://doi.org/10.1002/ppj2.20092 |
| spellingShingle | Juan S. Panelo Yin Bao Lie Tang Patrick S. Schnable Maria G. Salas‐Fernandez Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum Plant Phenome Journal |
| title | Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum |
| title_full | Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum |
| title_fullStr | Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum |
| title_full_unstemmed | Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum |
| title_short | Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum |
| title_sort | genetics of canopy architecture dynamics in photoperiod sensitive and photoperiod insensitive sorghum |
| url | https://doi.org/10.1002/ppj2.20092 |
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