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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Plant photosynthesis and biomass production are associated with the amount of intercepted light, especially the light distribution inside the canopy. Three virtual canopies (n = 80, 3.25 plants/m2) were constructed based on average leaf size of the digitized plant structures: ‘small leaf’ (98.1 cm2), ‘medium leaf’ (163.0 cm2) and ‘big leaf’ (241.6 cm2). The ratios of diffuse light were set in three gradients (27.8%, 48.7%, 89.6%). The simulations of light interception were conducted under different ratios of diffuse light, before and after the normalization of incident radiation. With 226.1% more diffuse light, the result of light interception could increase by 34.4%. However, the 56.8% of reduced radiation caused by the increased proportion of diffuse light inhibited the advantage of diffuse light in terms of a 26.8% reduction in light interception. The big-leaf canopy had more mutual shading effects, but its larger leaf area intercepted 56.2% more light than the small-leaf canopy under the same light conditions. The small-leaf canopy showed higher efficiency in light penetration and higher light interception per unit of leaf area. The study implied the 3D structural model, an effective tool for quantitative analysis of the interaction between light and plant canopy structure.

Details

Title
Interactions between Diffuse Light and Cucumber (Cucumis sativus L.) Canopy Structure, Simulations of Light Interception in Virtual Canopies
Author
Zhang, Yingyu 1   VIAFID ORCID Logo  ; Yang, Juan 1 ; Marinus van Haaften 2 ; Li, Linyi 1 ; Lu, Shenglian 3   VIAFID ORCID Logo  ; Wen, Weiliang 4   VIAFID ORCID Logo  ; Zheng, Xiuguo 1 ; Pan, Jian 5 ; Qian, Tingting 1   VIAFID ORCID Logo 

 Institute of Agricultural Science and Technology Information, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China; [email protected] (Y.Z.); [email protected] (J.Y.); [email protected] (L.L.); [email protected] (X.Z.) 
 Inholland University of Applied Sciences, Domain Agri, Food and Life Sciences, Rotterdamseweg 141, 2628 AL Delft, The Netherlands; [email protected]; TU-Delft, Technology, Policy and Management, Jaffalaan 5, 2628 BX Delft, The Netherlands 
 College of Computer Science and Information Technology, Guangxi Normal University, Guilin 541004, China; [email protected] 
 Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; [email protected] 
 School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China; [email protected] 
First page
602
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20734395
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2642332252
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.