Impact of Sowing Space and Depth on Canopy Architecture and Vertical Leaf Traits in Dryland Wheat

Sowing space and depth critically influence wheat canopy architecture, yet their layer-specific effects remain poorly understood. This two-year field study evaluated the effects of three sowing spaces (1.5, 3.0, 4.5 cm) and three sowing depths (2, 3, 6 cm) on canopy projection area, leaf inclination angle, leaf area distribution, and leaf area index (LAI) of dryland wheat (Triticum aestivum ‘Ningmai 13’) in Luhe, Nanjing, China, using image-based phenotyping with manual validation. Narrow spacing (1.5 cm) with intermediate depth (3 cm) produced the largest canopy projection area (0.239–0.245 m2) and an increase in leaf erectness in the middle canopy layer (+23% above average). The highest LAI values (4.23–4.28 m2 m−2) were achieved with narrow spacing (A1B1, A1B2), demonstrating that dense canopies can be established under dryland conditions. Grain yield (g/plant) was measured as a supporting agronomic indicator; the highest yield per plant (14.36 g/plant) was observed in A3B1. Image-based measurements showed excellent agreement with manual methods (R2 > 0.97 for all traits), validating the phenotyping pipeline. These findings contribute to a deeper understanding of how sowing parameters shape wheat canopies in dryland systems.

Authors

Institutions

Publication Details

Journal
Agriculture
Published
2026-04-15
DOI
https://doi.org/10.3390/agriculture16080877
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Sowing Space and Depth on Canopy Architecture and Vertical Leaf Traits in Dryland Wheat

Q Ding, Gaoming Xu, Linqian Fu, Yulun Chen et al.
Agriculture
Remote Sensing in Agriculture
article

Impact of Sowing Space and Depth on Canopy Architecture and Vertical Leaf Traits in Dryland Wheat

Q Ding, Gaoming Xu, Linqian Fu, Yulun Chen, Edwin O. Amisi, Haima Haider Asha
article en

Abstract

Sowing space and depth critically influence wheat canopy architecture, yet their layer-specific effects remain poorly understood. This two-year field study evaluated the effects of three sowing spaces (1.5, 3.0, 4.5 cm) and three sowing depths (2, 3, 6 cm) on canopy projection area, leaf inclination angle, leaf area distribution, and leaf area index (LAI) of dryland wheat (Triticum aestivum ‘Ningmai 13’) in Luhe, Nanjing, China, using image-based phenotyping with manual validation. Narrow spacing (1.5 cm) with intermediate depth (3 cm) produced the largest canopy projection area (0.239–0.245 m2) and an increase in leaf erectness in the middle canopy layer (+23% above average). The highest LAI values (4.23–4.28 m2 m−2) were achieved with narrow spacing (A1B1, A1B2), demonstrating that dense canopies can be established under dryland conditions. Grain yield (g/plant) was measured as a supporting agronomic indicator; the highest yield per plant (14.36 g/plant) was observed in A3B1. Image-based measurements showed excellent agreement with manual methods (R2 > 0.97 for all traits), validating the phenotyping pipeline. These findings contribute to a deeper understanding of how sowing parameters shape wheat canopies in dryland systems.

AgricultureVol. 16(8)
Nanjing Agricultural University (CN), Jiangmen Polytechnic (CN)
Nanjing Agricultural University, National Key Research and Development Program of China
Openalex Percentile: Top 20%
Remote Sensing in Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.