AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (4.4 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

A study on the response of planting density to 3D plant shape plasticity and population light transmittance of maize

Guangtao Wang1,2Guanmin Huang2Weiliang Wen2Sheng Wu2Xianju Lu2Bo Chen2Xinming Ma1( )Xinyu Guo2( )Chunjiang Zhao1,2( )
College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China
Beijing Key Lab of Digital Plant/National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Show Author Information

Highlights

• During vegetative growth, maize exhibited enhanced vertical and horizontal development under increased planting density.

• At the silking stage, plants showed reduced spatial occupancy with pronounced lateral growth inhibition under increased planting density.

• The light transmission model based on support vector regression achieved reliable prediction accuracy.

Abstract

Traditional two-dimensional (2D) analyses of maize (Zea mays L.) plant shape plasticity and canopy transmission under varying planting densities have limitations in capturing spatial heterogeneity. This study used a three-dimensional (3D) phenotyping platform to investigate architectural plasticity across different maize varieties and planting densities. Seven novel 3D architectural parameters were developed, and 3D canopy models were constructed for light distribution simulation. At the vegetative stage 9 (V9) stage, medium planting density (67,500 plants ha–1, MD) increased plant side width and convex hull volume by 7.2 and 11.4%, respectively, compared to low planting density (37,500 plants ha–1, LD). High planting density (97,500 plants ha–1, HD) increased the width and volume by 4.2 and 17.8%, respectively, compared with MD. Similar changes were maintained at the V13 stage. At the silking stage, the number of voxel volume plant (NVP) and projected area (PJA) decreased by 6.2 and 11.9%, respectively, under MD compared with LD, and by 4.9 and 3.6%, respectively, under HD compared with MD. Across all densities, PJA and NVP in both MC812 and JNK728 were consistently lower than in ZD958. A bottom light transmittance estimation model combining point cloud parameters with support vector regression achieved reliable predictions (R2=0.76, RMSE=2.89%). The 3D canopy model effectively simulated population light distribution (R2=0.83, RMSE=8.53%). NVP and PJA were identified as critical parameters affecting bottom canopy transmittance, suggesting their potential as 3D selection indices for maize density tolerance breeding. These findings provide insights into stage-specific architectural plasticity and light interception, supporting molecular design breeding of density-tolerant maize.

References

【1】
【1】
 
 
Journal of Integrative Agriculture (JIA)
Pages 3208-3217

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Wang G, Huang G, Wen W, et al. A study on the response of planting density to 3D plant shape plasticity and population light transmittance of maize. Journal of Integrative Agriculture (JIA), 2026, 25(8): 3208-3217. https://doi.org/10.1016/j.jia.2025.05.011

4

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Received: 15 December 2024
Revised: 11 April 2025
Accepted: 16 April 2025
Published: 16 May 2025
© 2026 CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer review under responsibility of Editorial Board of Journal of Integrative Agriculture.