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Competition for Light Interception in Cotton Populations of Different Densities.

Authors :
Chen, Huanxuan
Zhao, Xinxin
Han, Yingchun
Xing, Fangfang
Feng, Lu
Wang, Zhanbiao
Wang, Guoping
Yang, Beifang
Lei, Yaping
Xiong, Shiwu
Li, Xiaofei
Xin, Minghua
An, Jie
Du, Wenli
Li, Yabing
Source :
Agronomy; Jan2021, Vol. 11 Issue 1, p176, 1p
Publication Year :
2021

Abstract

Modification of the cotton canopy results in shade avoidance and competition for light, which shows that density and spatial arrangement of cotton have a great impact on light interception. This experiment was conducted in 2018 and 2019 in the experimental field at the Institute of Cotton Research of Chinese Academy of Agricultural Science in Anyang city, Henan Province, China. Six plant densities of cotton variety SCRC28 were used to assess spatial competition for light in cotton populations during the whole growing period. Light interception data were collected and analyzed according to the spatial grid method and the extension of Simpson's 3/8 rule. The results showed that at the bottom of the canopy, greater light interception was observed at high densities than at low densities, while in the external part of the layer of the canopy in the horizontal direction, low light interception was recorded at low densities. Leaf area, aboveground biomass and plant height were obviously correlated with light interception, and the cotton population with a higher density (8.7 plants m<superscript>−2</superscript>) performed best at the light interception competition, and with the highest yield. The results will provide guidance on light management through the optimization of the structure of the canopy to provide more solar radiation and a significant basis by which to improve the management of light and canopy architecture. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734395
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Agronomy
Publication Type :
Academic Journal
Accession number :
148287069
Full Text :
https://doi.org/10.3390/agronomy11010176