Soybean overcome differences in row spacing and seeding rate to maintain stable yield

Abstract Soybean [ Glycine max (L.) Merr.] is a crucial crop for global food, feed, and biofuel industries, with its yield influenced by agronomic practices such as row spacing and seeding rate. This study aimed to evaluate the effects of these practices on soybean yield across 7 years (2016–2023) in Iowa. Using a split‐split‐plot design, we examined three row spacings (15, 20, and 30 inches) and varying seeding rates at two experimental sites. The research was conducted under typical Iowa conditions with different soybean cultivars and soil types. Grain yield data were standardized to 13% moisture and analyzed using ANOVA to assess the interactions between row spacing, seeding rate, and cultivar. Results indicated the effects of row spacing and seeding rate on yield were inconsistent across years and locations. Narrower row spacings (15 and 20 inches) tended to improve yield in high‐productivity environments, while wider spacing (30 inches) performed better in some low‐yielding environments. The seeding rate response varied, with no clear pattern across site‐years, suggesting that soybean plants can compensate for lower planting densities by adjusting branching and pod set. These findings highlight the adaptability of soybean to different planting practices, offering farmers flexibility in optimizing seeding rates and row spacings without significant yield loss. This research provides valuable insights into potentially reducing input costs while maintaining productivity in soybean production.

Authors

Institutions

Publication Details

Journal
Crop Forage & Turfgrass Management
Published
2025-02-27
DOI
https://doi.org/10.1002/cft2.70033
Primary Topic
Soybean genetics and cultivation
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Soybean overcome differences in row spacing and seeding rate to maintain stable yield

Mark A. Licht, Andrew Weaver, Natan Angelo Seraglio, Mila Victorio Pessotto
Crop Forage & Turfgrass Management
Soybean genetics and cultivation
article

Soybean overcome differences in row spacing and seeding rate to maintain stable yield

Mark A. Licht, Andrew Weaver, Natan Angelo Seraglio, Mila Victorio Pessotto
article en

Abstract

Abstract Soybean [ Glycine max (L.) Merr.] is a crucial crop for global food, feed, and biofuel industries, with its yield influenced by agronomic practices such as row spacing and seeding rate. This study aimed to evaluate the effects of these practices on soybean yield across 7 years (2016–2023) in Iowa. Using a split‐split‐plot design, we examined three row spacings (15, 20, and 30 inches) and varying seeding rates at two experimental sites. The research was conducted under typical Iowa conditions with different soybean cultivars and soil types. Grain yield data were standardized to 13% moisture and analyzed using ANOVA to assess the interactions between row spacing, seeding rate, and cultivar. Results indicated the effects of row spacing and seeding rate on yield were inconsistent across years and locations. Narrower row spacings (15 and 20 inches) tended to improve yield in high‐productivity environments, while wider spacing (30 inches) performed better in some low‐yielding environments. The seeding rate response varied, with no clear pattern across site‐years, suggesting that soybean plants can compensate for lower planting densities by adjusting branching and pod set. These findings highlight the adaptability of soybean to different planting practices, offering farmers flexibility in optimizing seeding rates and row spacings without significant yield loss. This research provides valuable insights into potentially reducing input costs while maintaining productivity in soybean production.

Crop Forage & Turfgrass ManagementVol. 11(1)
Iowa State University (US)
National Institute of Food and Agriculture
Openalex Percentile: Top 97%
Soybean genetics and cultivation
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.