Planting date and maturity groups effects on soybean yield in Wisconsin

Abstract Soybean [ Glycine max (L.) Merr.] planting date (PD) and maturity group (MG) selection are critical decisions for optimizing crop development and enhancing yield potential. This study examines the interaction effects of PDs and MGs on soybean yield in southern Wisconsin, utilizing a fractional replication experimental design across two growing seasons (2022 and 2023). Five PDs in 2022 and six in 2023 were tested, with 50 soybean cultivars per PD, encompassing MGs ranging from 0.3 to 2.9. Results reveal that optimal soybean yield occurred with early planting, particularly before May 20, with MGs between 1.5 to 2.9 performing best. Delayed planting led to diminished significance in MG selection for yield, but overall yield declined consistently, roughly 20 bu/acre, every 20 days beyond the May 20 PD. Practical implications suggest early planting to maximize sunlight capture and extend the seed fill period, alongside the selection of cultivars within the appropriate MG range. While this study is limited to a single location and 2‐year duration, future collaborative efforts across multiple sites could provide a more comprehensive understanding of PD and MG interactions, benefiting soybean cultivation practices in diverse environments. Overall, our findings offer valuable insights for southern Wisconsin soybean farmers seeking to optimize yield and profitability in their operations.

Authors

Institutions

Publication Details

Journal
Crop Forage & Turfgrass Management
Published
2024-11-29
DOI
https://doi.org/10.1002/cft2.70015
Citations
1
Primary Topic
Soybean genetics and cultivation
Type
article
Field-Weighted Citation Impact
0.60

Funders

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

Planting date and maturity groups effects on soybean yield in Wisconsin

John Gaska, Spyridon Mourtzinis, Adam Roth, Shawn P. Conley et al.
1 citations
Crop Forage & Turfgrass Management
Soybean genetics and cultivation
0.60
article

Planting date and maturity groups effects on soybean yield in Wisconsin

John Gaska, Spyridon Mourtzinis, Adam Roth, Shawn P. Conley, Tatiane Severo Silva, Andrew Malcomson
article en
1 citations

Abstract

Abstract Soybean [ Glycine max (L.) Merr.] planting date (PD) and maturity group (MG) selection are critical decisions for optimizing crop development and enhancing yield potential. This study examines the interaction effects of PDs and MGs on soybean yield in southern Wisconsin, utilizing a fractional replication experimental design across two growing seasons (2022 and 2023). Five PDs in 2022 and six in 2023 were tested, with 50 soybean cultivars per PD, encompassing MGs ranging from 0.3 to 2.9. Results reveal that optimal soybean yield occurred with early planting, particularly before May 20, with MGs between 1.5 to 2.9 performing best. Delayed planting led to diminished significance in MG selection for yield, but overall yield declined consistently, roughly 20 bu/acre, every 20 days beyond the May 20 PD. Practical implications suggest early planting to maximize sunlight capture and extend the seed fill period, alongside the selection of cultivars within the appropriate MG range. While this study is limited to a single location and 2‐year duration, future collaborative efforts across multiple sites could provide a more comprehensive understanding of PD and MG interactions, benefiting soybean cultivation practices in diverse environments. Overall, our findings offer valuable insights for southern Wisconsin soybean farmers seeking to optimize yield and profitability in their operations.

Crop Forage & Turfgrass ManagementVol. 10(2)
University of Wisconsin–Madison (US)
Wisconsin Soybean Marketing Board
Openalex Percentile: Top 20%
Soybean genetics and cultivation
0.60
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.