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Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum

Panelo, Juan S. ; Bao, Yin ; Tang, Lie ; Schnable, Patrick S. ; Salas‐Fernandez, Maria G.

Plant phenome journal, 2024-12, Vol.7 (1) [Periódico revisado por pares]

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  • Título:
    Genetics of canopy architecture dynamics in photoperiod‐sensitive and photoperiod‐insensitive sorghum
  • Autor: Panelo, Juan S. ; Bao, Yin ; Tang, Lie ; Schnable, Patrick S. ; Salas‐Fernandez, Maria G.
  • É parte de: Plant phenome journal, 2024-12, Vol.7 (1)
  • Descrição: 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. Core Ideas The range of variation of image‐derived canopy architecture descriptors differs between sorghum populations. Growth rates can be estimated from canopy descriptors collected over time. Natural variation was observed for single‐timepoint canopy descriptors and their growth rates. Novel genomic regions were associated with single‐timepoint canopy descriptors and their growth rates.
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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