2016
DOI: 10.3389/fpls.2016.01321
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Sweet Pepper (Capsicum annuum L.) Canopy Photosynthesis Modeling Using 3D Plant Architecture and Light Ray-Tracing

Abstract: Canopy photosynthesis has typically been estimated using mathematical models that have the following assumptions: the light interception inside the canopy exponentially declines with the canopy depth, and the photosynthetic capacity is affected by light interception as a result of acclimation. However, in actual situations, light interception in the canopy is quite heterogenous depending on environmental factors such as the location, microclimate, leaf area index, and canopy architecture. It is important to ap… Show more

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Cited by 50 publications
(27 citation statements)
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“…The photosynthetic activity records of each tomato leaf provide us with information on the relative importance of the different leaves in the acquisition of carbon through photosynthesis. As previously highlighted by modeling tomato [31] and sweet pepper (from 37.0 at the top to 12.4 µmol CO 2 m −2 s −1 at the bottom; [32]), we confirmed a vertical distribution of the potential photosynthetic activity of the leaves.…”
Section: Discussionsupporting
confidence: 88%
“…The photosynthetic activity records of each tomato leaf provide us with information on the relative importance of the different leaves in the acquisition of carbon through photosynthesis. As previously highlighted by modeling tomato [31] and sweet pepper (from 37.0 at the top to 12.4 µmol CO 2 m −2 s −1 at the bottom; [32]), we confirmed a vertical distribution of the potential photosynthetic activity of the leaves.…”
Section: Discussionsupporting
confidence: 88%
“…The distributions of light intensity, temperature, and humidity could have reflected the microclimate variations in different chestnut canopy locations. Similar results were obtained regarding the spatial light distributions of other types of trees [41][42][43].…”
Section: Microclimate Distribution Within the Canopysupporting
confidence: 85%
“…Models have been devised to predict light interception potential of plants by tracing canopy architecture, leaf area and proximity to other plants (Kim et al . ). New selections may be identified through these automated analyses.…”
Section: Exploiting Plasticitymentioning
confidence: 97%
“…In some cases breeding for controlled environments may be facilitated by analysis of early traits (Watt et al 2013), and selection may even be automated using machine vision (Fahlgren et al 2015). Models have been devised to predict light interception potential of plants by tracing canopy architecture, leaf area and proximity to other plants (Kim et al 2016). New selections may be identified through these automated analyses.…”
Section: Exploiting Plasticitymentioning
confidence: 99%