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Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Corn had significantly less temporal yield variability than soybean or sorghum.

Outcome
temporal yield variabilitye0
Direction
lesse0
Comparator
soybean or sorghume0

Verbatim

e0

“Corn had significantly less temporal yield variability than soybean or sorghum.”

✓ located verbatim in the source · abstract, characters 1216–1295

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Temporal variability dominated spatial variability in the study.

Taxon
Cropt0
Outcome
Temporal variabilitye0
Direction
much more dominante0
Comparator
spatial variabilitye0

Verbatim

e0

“Temporal variability was much more dominant than spatial variability in this study.”

✓ located verbatim in the source · abstract, characters 1441–1524
t0

“Crop Sequences”

✓ located verbatim in the source · title, characters 50–64

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

A theoretical model suggests precision farming can reduce temporal yield variability under plausible circumstances.

Treatment
precision farminge0
Outcome
temporal yield variabilitye0
Direction
reducee0
Qualifier
plausible circumstancese0

Not reportedTaxonComparator

Verbatim

e0

“A theoretical model is presented that suggests that there are plausible circumstances under which precision farming can reduce temporal yield variability.”

✓ located verbatim in the source · abstract, characters 345–499

Title

Risk Management Potential of Precision Farming Technologies

J. Lowenberg-DeBoer Journal of Agricultural and Applied Economics 1999. doi:10.1017/s1074070800008555

Other claims from this paper (1)
Mechanismauthor interpretationoriginal resultmeasured

Claim · model-written summary

Temporal variability may greatly influence how spatial variability is expressed in a field.

Taxon
Cropt0
Outcome
spatial variabilitye0
Qualifier
Temporal variabilitye0

Verbatim

e0

“Temporal variability may greatly influence how spatial variability is expressed in a given field.”

✓ located verbatim in the source · abstract, characters 1525–1622
t0

“Crop Sequences”

✓ located verbatim in the source · title, characters 50–64

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

Fractal analysis was judged useful for quantifying temporal yield variation.

Taxon
cropse5
Outcome
quantifying temporal variability in yielde5
Qualifier
usefule5

Not reportedComparatorValue

Verbatim

e5

“It appears that fractal analysis is useful in quantifying temporal variability in yield of various crops”

✓ located verbatim in the source · abstract, characters 1973–2077

Title

Fractal Description of Temporal Yield Variability of 10 Crops in the United States

Bahman Eghball; James F. Power Agronomy Journal 1995. doi:10.2134/agronj1995.00021962008700020003x

Other claims from this paper (9)
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Yield maps may be unhelpful for future management when temporal variability is great.

Taxon
Cropt0
Outcome
may not be useful in making future management decisionse0
Qualifier
when temporal variability is greate0

Verbatim

e0

“Yield maps, which are used as an indication of past management in site‐specific cases, may not be useful in making future management decisions when temporal variability is great.”

✓ located verbatim in the source · abstract, characters 1623–1801
t0

“Crop Sequences”

✓ located verbatim in the source · title, characters 50–64

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Average crop yield varied less over time than soil parameters varied spatially.

Taxon
crope4
Outcome
Temporal variability in average crop yielde4
Direction
much smallere4
Comparator
typical spatial variability values reported by others for soil parameterse4
Setting
USAe4

Verbatim

e4

“Temporal variability in average crop yield in the USA was much smaller than typical spatial variability values reported by others for soil parameters.”

✓ located verbatim in the source · abstract, characters 1822–1972

Title

Fractal Description of Temporal Yield Variability of 10 Crops in the United States

Bahman Eghball; James F. Power Agronomy Journal 1995. doi:10.2134/agronj1995.00021962008700020003x

Other claims from this paper (9)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

The temporal for spatial variability assumption is sensitive to interactions at the soil plant atmosphere interface and fails under some circumstances.

Taxon
cropt0
Outcome
the assumptione0
Qualifier
under certain circumstancese0

Not reportedComparatorValue

Verbatim

e0

“the assumption is highly sensitive to specific interactions at the soil-plant-atmosphere interface and, consequently, does not hold under certain circumstances.”

✓ located verbatim in the source · abstract, characters 867–1027
t0

“impact of climate change on crop yield”

✓ located verbatim in the source · abstract, characters 302–340

Title

Issues of Spatial and Temporal Variability in Climate Impact Studies

Gregory J. Carbone The Professional Geographer 1995. doi:10.1111/j.0033-0124.1995.00030.x

Other claims from this paper (1)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Soybean had the greatest yield variability regardless of crop sequence.

Taxon
SoybeanGlycine maxe0
Outcome
yield variabilitye0
Direction
greateste0
Qualifier
regardless of crop sequencee0

Verbatim

e0

“Soybean had the greatest yield variability, regardless of crop sequence.”

✓ located verbatim in the source · abstract, characters 1368–1440

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Continuous corn had less yield variability than corn following soybean.

Treatment
Continuous corne0
Outcome
yield variabilitye0
Direction
lesse0
Comparator
corn following soybeane0

Verbatim

e0

“Continuous corn had less yield variability than corn following soybean.”

✓ located verbatim in the source · abstract, characters 1296–1367

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)

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