Soil and crop response to varying planter's downforce in corn and cotton fields

Effective planter downforce is crucial for optimizing seed placement and improving crop emergence and growth. This study explores the impact of different downforce settings on soil compaction, seeding depth, and crop performance for corn and cotton. Two field experiments were implemented using a John Deere 6145R tractor and a 6-row John Deere planter equipped with a DeltaForce® hydraulic downforce system in Shorter, Alabama, during the 2020 growing season. Multiple planter's downforce levels (0, 550, 1100, and 1800 N) were tested in both static and dynamic modes across two fields with distinct soil types (clay loam and sandy loam). Results indicated that the dynamic downforce mode provided more accurate and consistent load distribution compared to the static mode, which often exceeded target loads. Increased downforce led to deeper seeding depths, particularly with the dynamic mode, and higher loads in the static mode resulted in greater variability. For corn in clay loam soil, higher static downforce improved seed-to-soil contact, enhancing emergence and plant height. Conversely, cotton in sandy loam soil showed no significant differences in emergence or plant height, likely due to soil moisture conditions and target depth. The study concludes that dynamic downforce systems offer superior load control and uniformity, enhancing corn emergence and growth in heavier soils, while further research is recommended to optimize settings for various crops and soil conditions.

Authors

Institutions

Publication Details

Journal
Smart Agricultural Technology
Published
2025-01-22
DOI
https://doi.org/10.1016/j.atech.2025.100798
Citations
1
Primary Topic
Soil Management and Crop Yield
Type
article
Field-Weighted Citation Impact
1.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Soil and crop response to varying planter's downforce in corn and cotton fields

Gregory Lee Pate, Brenda V. Ortiz, Thomas R. Way, Luan Santos de Oliveira et al.
1 citations
Smart Agricultural Technology
Soil Management and Crop Yield
1.19
article

Soil and crop response to varying planter's downforce in corn and cotton fields

Gregory Lee Pate, Brenda V. Ortiz, Thomas R. Way, Luan Santos de Oliveira, Rouverson Pereira da Silva
article en
1 citations

Abstract

Effective planter downforce is crucial for optimizing seed placement and improving crop emergence and growth. This study explores the impact of different downforce settings on soil compaction, seeding depth, and crop performance for corn and cotton. Two field experiments were implemented using a John Deere 6145R tractor and a 6-row John Deere planter equipped with a DeltaForce® hydraulic downforce system in Shorter, Alabama, during the 2020 growing season. Multiple planter's downforce levels (0, 550, 1100, and 1800 N) were tested in both static and dynamic modes across two fields with distinct soil types (clay loam and sandy loam). Results indicated that the dynamic downforce mode provided more accurate and consistent load distribution compared to the static mode, which often exceeded target loads. Increased downforce led to deeper seeding depths, particularly with the dynamic mode, and higher loads in the static mode resulted in greater variability. For corn in clay loam soil, higher static downforce improved seed-to-soil contact, enhancing emergence and plant height. Conversely, cotton in sandy loam soil showed no significant differences in emergence or plant height, likely due to soil moisture conditions and target depth. The study concludes that dynamic downforce systems offer superior load control and uniformity, enhancing corn emergence and growth in heavier soils, while further research is recommended to optimize settings for various crops and soil conditions.

Smart Agricultural TechnologyVol. 10
Agricultural Research Service (US), University of Georgia (US), Foreign Agricultural Service (US), Arkansas Agricultural Experiment Station (US), Auburn University (US), Universidade Estadual Paulista (Unesp) (BR)
Zero hunger
Openalex Percentile: Top 24%
Soil Management and Crop Yield
1.19
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.