Defining optimal soybean seeding rates and associated risk across North America

Gaspar, Adam P.; Mourtzinis, Spyridon; Kyle, Don; Galdi, Eric; Lindsey, Laura E.; Hamman, William P.; Matcham, Emma G.; Kandel, Hans; Schmitz, Peder K.; Stanley, Jordan D.; Schmidt, John P.; Mueller, Daren S.; Nafziger, Emerson D.; Ross, Jeremy; Carter, Paul R.; Varenhorst, Adam J.; Wise, Kiersten; Ciampitti, Ignacio A.; Carciochi, Walter D.; Chilvers, Martin I.; Hauswedell, Brady; Tenuta, Albert; Conley, Shawn P.

doi:10.1002/agj2.20203

Cited by 27 publications

(43 citation statements)

References 38 publications

(66 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been documented in North Carolina that producers are at maximum yield potential if they achieve final populations of 185,250 and 222,300 plants ha −1 in May and June planted soybean, respectively (Dunphy, 2017). A recent national analysis of 211 field sites suggested that lower soybean‐seeding rates could be used in higher‐yielding (5,125–5,165 kg ha −1 ) environments (Gaspar et al., 2020), as would typically be encountered in a SYC. The ability of the soybean plant to compensate for lower‐than‐historically used populations is likely a result of breeding efforts that have resulted in higher yield potential per plant (Suhre et al., 2014).…”

Section: Resultsmentioning

confidence: 99%

Production practices that maximize soybean yield: What we have learned from the North Carolina soybean yield contest

Vann

Drake-Stowe²,

Buol

et al. 2021

Agronomy Journal

View full text Add to dashboard Cite

Agronomic production practices associated with high-yielding soybean (Glycine max) in North Carolina can be used to inform production recommendations across the Southeast USA. 877 individual entries submitted from 2002 to 2019 into the North Carolina Soybean Yield Contest (SYC) were analyzed with the objectives to describe the production practices associated with high-yielding soybeans in North Carolina and to identify management strategies for increasing soybean yield in the Southeast USA region. From 2002 to 2019, SYC entries averaged 4,379 kg ha -1 . The three most important management practices influencing soybean yield were maturity group (MG), foliar fungicide use, and planting date.Using a MG 4 or earlier variety provided a 1,199 kg ha -1 yield advantage across all entries.When MG≤4 was used, foliar fungicide use provided a 754 kg ha -1 yield protection and when MG>4 was used fungicide use provided a 640 kg ha -1 yield protection. Planting dates earlier than May 12 generally provided more yield benefit when earlier maturing varieties were used. Herbicide and insecticide use, irrigation, fungicidal and inoculant seed treatments, tillage, and row spacing were less important predictors of soybean yield. Soybean producers can implement several of these identified management strategies without additional economic investment in an effort to increase soybean yield and profitability in the Southeast USA region.

show abstract

Section: Resultsmentioning

confidence: 99%

Production practices that maximize soybean yield: What we have learned from the North Carolina soybean yield contest

Vann

Drake-Stowe²,

Buol

et al. 2021

Agronomy Journal

View full text Add to dashboard Cite

show abstract

“…In Wisconsin, seeding rates between 296,400 and 345,800 seeds ha −1 yielded similarly (Gaspar et al., 2015). In a regional study, the AOSR for the Midwest was 365,000 seeds ha −1 (Gaspar et al., 2020). The seeding rate value selected in the CI tree analysis is likely near or in excess of the AOSR for each TED given past seeding rate studies, so the lower yield in fields with higher seeding rates in TEDs 7, 8, and 10 was likely due at least in part to high seeding rate and not just an artifact of farmers selecting higher seeding rates for fields with lower yield potential.…”

Section: Discussionmentioning

confidence: 99%

Management strategies for early‐ and late‐planted soybean in the north‐central United States

Matcham

Mourtzinis²,

Conley

et al. 2020

Agronomy Journal

Self Cite

View full text Add to dashboard Cite

It is widely recognized that planting soybean [Glycine max (L.) Merr.] early is critical to maximizing yield, but the influence of changing management factors when soybean planting is delayed is not well understood. The objectives of this research were to (a) identify management decisions that increase seed yield in either early‐ or late‐planted soybean scenarios, and (b) estimate the maximum break‐even price of each management factor identified to influence soybean seed yield in early‐ or late‐planted soybean. Producer data on seed yield and management decisions were collected from 5682 fields planted with soybean during 2014−2016 and grouped into 10 technology extrapolation domains (TEDs) based on growing environment. A subsample of 1512 fields was classified into early‐ and late‐planted categories using terciles. Conditional inference trees were created for each TED to evaluate the effect of management decisions within the two planting date timeframes on seed yield. Management strategies that maximized yield and associated maximum break‐even prices varied across TEDs and planting date. For early‐planted fields, higher yields were associated with artificial drainage, insecticide seed treatment, and lower seeding rates. For late‐planted fields, herbicide application timing and tillage intensity were related to higher yields. There was no individual management decision that consistently increased seed yield across all TEDs.

show abstract

“…A seeding rate of 531,050 seeds ha −1 was used targeting an established plant population of 454,000 plants ha −1 based on 95% germination and about 10% expected seed to established plant loss [17]. However, the actual achieved plant population was on average about 300,000 plants ha −1 , still well within in the normal range for the Northern soybean region [18].…”

Section: Treatmentsmentioning

confidence: 99%

How Raised Beds and Fe-Chelate Affect Soybean Iron Deficiency Chlorosis and Yield

Holmes¹,

Kandel²,

Mehring³

et al. 2021

Self Cite

View full text Add to dashboard Cite

Water-logging and the inability to take up sufficient iron (Fe), causing iron deficiency chlorosis (IDC) in soybean (Glycine max, L. Merr.), can be major yield reducing factors in certain soils in the northern USA and Manitoba, Canada, soybean growing regions. The objective of this research was to evaluate soybean IDC, biomass production, and yield with seeding on raised beds and seed application of the Fe-chelate compound ortho-ortho-Fe-EDDHA. In six environments, soybean were seeded on raised beds and conventionally prepared seedbeds (flat) and with a factorial arrangement of five cultivars (within adapted maturity group 0.1 to 0.9 and variable IDC tolerance) and seed applied Fe-EDDHA using rates of 0 kg•ha −1 and 3.36 kg•ha −1 . There were no significant interactions between the factors tested. The plant population was 27% higher on the raised beds compared with flat, and yield was 6.3% higher (2893 kg•ha −1 vs. 2722 kg•ha −1 ). Total dry plant biomass on raised beds was 9.8% greater compared with flat. The plant population with seed applied Fe-EDDHA was 10.6% lower compared with no application. However, the IDC score was significantly lower 2.2 vs 2.4 (1 = green, 5 = dead) for Fe-EDDHA seed application. Yield and plant biomass were not significantly different between Fe treatments. Raised beds offer an opportunity for soybean growers to reduce the negative influence of excessive water. Further research is needed to determine the long-term effect of raised beds on plant development, IDC expression, and yield. The application of Fe-EDDHA remains a partial solution and should therefore be combined with other methods to reduce IDC. Further research should study other Fe-EDDHA application rates and methods.

show abstract

Defining optimal soybean seeding rates and associated risk across North America

Cited by 27 publications

References 38 publications

Production practices that maximize soybean yield: What we have learned from the North Carolina soybean yield contest

Production practices that maximize soybean yield: What we have learned from the North Carolina soybean yield contest

Management strategies for early‐ and late‐planted soybean in the north‐central United States

How Raised Beds and Fe-Chelate Affect Soybean Iron Deficiency Chlorosis and Yield

Contact Info

Product

Resources

About