Paper · 2023 · Frontiers in Sustainable Food Systems

Identifying research priorities through decision analysis: A case study for cover crops

Gina A. Nichols; Cameron A. MacKenzie

4
claims
5
verbatim quotes
9
citations
2
research areas
✓
Open access · cc-by

Abstract

Introduction In Midwestern maize ( Zea-mays L.)-based systems, planting an over-wintering cover crop such as rye ( Secale cereale L.) following fall harvests of summer crops maintains continuous soil cover, offering numerous environmental advantages. However, while adoption of cover crops has increased over the past decade, on a landscape-scale it remains low. Identifying where agronomic research could be most impactful in increasing adoption is therefore a useful exercise. Decision analysis (DA) is a tool for clarifying decision trade-offs, quantifying risk, and identifying optimal decisions. Several fields regularly utilize DA frameworks including the military, industrial engineering, business strategy, and economics, but it is not yet widely applied in agriculture. Methods Here we apply DA to a maize-soybean [ Glycine max (L.) Merr.] rotation using publicly available weather, management, and economic data from central Iowa. Results In this region, planting a cover crop following maize (preceding soybean) poses less risk to the producer compared to planting following soybean, meaning it may be a more palatable entry point for producers. Furthermore, the risk of reduced maize yields when planting less than 14 days following rye termination substantially contributes to the overall risk cover crops pose to producers, but also has significant potential to be addressed through agronomic research. Discussion In addition to identifying research priorities, DA provided clarity to a complex problem, was performed using publicly available data, and by incorporating risk it better estimated true costs to the producer compared to using input costs alone. We believe DA is a valuable and underutilized tool in agronomy and could aid in increasing adoption of cover crops in the Midwest.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 4

Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

Planting a cover crop after maize poses less producer risk than planting after soybean.

Taxon
maizeZea mayse0
Treatment
planting a cover crop following maizee0
Outcome
risk to the producere0
Direction
lesse0
Comparator
planting following soybeane0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“planting a cover crop following maize (preceding soybean) poses less risk to the producer compared to planting following soybean”

✓ located verbatim in the source · abstract, characters 965–1093 · show in text ↑
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

Planting maize less than 14 days after rye termination risks reduced yield and contributes substantially to cover crop risk.

Taxon
maizeZea mayse0
Outcome
reduced maize yieldse0
Direction
reducede0
Qualifier
less than 14 dayse0
Comparator
rye terminatione0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“risk of reduced maize yields when planting less than 14 days following rye termination substantially contributes to the overall risk cover crops pose to producers”

✓ located verbatim in the source · abstract, characters 1174–1336 · show in text ↑
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

Decision analysis with risk gave better producer cost estimates than input costs alone.

Taxon
cover cropst0
Outcome
true costs to the producere0
Direction
bettere0
Comparator
using input costs alonee0

Verbatim

e0

“by incorporating risk it better estimated true costs to the producer compared to using input costs alone.”

✓ located verbatim in the source · abstract, characters 1567–1672 · show in text ↑
t0

“cover crops”

✓ located verbatim in the source · title, characters 76–87 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors regard decision analysis as valuable for identifying agronomic research priorities and cover crop adoption.

Taxon
cover cropse0
Outcome
increasing adoption of cover cropse0
Setting
Midweste0

Verbatim

e0

“We believe DA is a valuable and underutilized tool in agronomy and could aid in increasing adoption of cover crops in the Midwest.”

✓ located verbatim in the source · abstract, characters 1673–1803 · show in text ↑