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Observationobservedoriginal resultmeasured

Claim · model-written summary

Spatial variability was below temporal variability and frequently below 1 mm.

Outcome
Spatial variabilitye0
Direction
less thane0
Value
1 mme0

Verbatim

e0

“Spatial variability was less than temporal variability, and frequently less than 1 mm”

✓ located verbatim in the source · abstract, characters 1234–1319
t0

“crop yield”

✓ located verbatim in the source · title, characters 79–89
e1

“by corn and soybean phenological phase”

✓ located verbatim in the source · abstract, characters 1035–1073

Title

Spatial and temporal precipitation variability as a component of site-specific crop yield variability

M. R. O'Neal Purdue e-Pubs (Purdue University System) 2000

Other claims from this paper (10)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Yield gaps of the four legumes showed large spatial and temporal variability across the production zones.

Taxon
legumese3
Outcome
yield gapse3
Qualifier
Large spatial and temporal variabilitye3

Verbatim

e3

“Large spatial and temporal variability was observed in the yield gaps of the four legumes across the production zones”

✓ located verbatim in the source · abstract, characters 1683–1800

Title

Yield Gap Analysis of Soybean, Groundnut, Pigeonpea and Chickpea in India Using Simulation Modeling:Global Theme on Agroecosystems Report no. 31

Virender Singh Bhatia; P. Singh; S P Wani; et al. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) 2006

Other claims from this paper (13)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Temporal precipitation variability was 0.17 to 3.40 mm·day−1.

Outcome
Median absolute deviation from a reference yeare0
Value
0.17 to 3.40 mm·day−1e0

Verbatim

e0

“Median absolute deviation from a reference year was 0.17 to 3.40 mm·day−1 (temporal/year-to-year variability)”

✓ located verbatim in the source · abstract, characters 1123–1232
t0

“crop yield”

✓ located verbatim in the source · title, characters 79–89
e1

“by corn and soybean phenological phase”

✓ located verbatim in the source · abstract, characters 1035–1073

Title

Spatial and temporal precipitation variability as a component of site-specific crop yield variability

M. R. O'Neal Purdue e-Pubs (Purdue University System) 2000

Other claims from this paper (10)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Organic soybean yield variability was highest, at 48%.

Taxon
soybeanGlycine maxe0
Outcome
Temporal yield variabilitye1
Direction
higheste0
Value
48%e0

Verbatim

e0

“was highest in the ORG system during the soybean (CV = 48%)”

✓ located verbatim in the source · abstract, characters 1735–1794
e1

“Temporal yield variability differed among management systems and rotation phases and was highest in the ORG system during the soybean (CV = 48%) and winter wheat (CV = 33%) phases of the rotation”

✓ located verbatim in the source · abstract, characters 1650–1845

Title

Temporal Yield Variability under Conventional and Alternative Management Systems

Richard G. Smith; Fabian D. Menalled; G. P. Robertson Agronomy Journal 2007. doi:10.2134/agronj2007.0096

Other claims from this paper (10)
Observationobservedoriginal resultmeasured

Claim · model-written summary

At a nonmanured site, temporal yield stability across dry years was associated with spatial yield difference variability in response to N (r = 0.96).

Outcome
temporal yield stability across dry yearse4
Value
r = 0.96e4
Qualifier
At a nonmanured sitee4

Verbatim

e0

“We evaluated two corn ( Zea mays L.) hybrids at two N rates”

✓ located verbatim in the source · abstract, characters 116–175
e4

“At a nonmanured site, spatial yield difference variability in response to N existed with temporal yield stability across dry years ( r = 0.96)”

✓ located verbatim in the source · abstract, characters 776–918

Title

Spatial Yield Response of Two Corn Hybrids at Two Nitrogen Levels

Tawainga W. Katsvairo; William J. Cox; Harold M. Van Es; et al. Agronomy Journal 2003. doi:10.2134/agronj2003.1012

Other claims from this paper (9)
Intervention effectobservedoriginal resultpositivesimulated

Claim · model-written summary

Irrigation reduced spatial and temporal yield variability.

Treatment
Irrigatione0
Outcome
variability both spatially and temporallye0
Direction
lesse0

Not reportedComparator

Verbatim

e0

“Irrigation improved yield by at least 1000 kg ha-1 in half of the years simulated, and alsoshowed to have less variability both spatially and temporally”

✓ located verbatim in the source · abstract, characters 1067–1219
t0

“Corn”

✓ located verbatim in the source · title, characters 73–77

Title

Simulation of Spatially Variable Precision Irrigation and Its Effects On Corn Growth Using CERES-Maize

Kendall DeJonge; Amy Kaleita 2006 Portland, Oregon, July 9-12, 2006 2006. doi:10.13031/2013.20710

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

Claim · model-written summary

Temporal variability in biomass and LAI was mapped for the study area and individual farms.

Taxon
cropse1
Outcome
Temporal variability in biomass and LAIe0
Value
individual farmse0

Verbatim

e0

“Temporal variability in biomass and LAI were mapped for the study area and highlighted for individual farms.”

✓ located verbatim in the source · abstract, characters 1511–1619
e1

“six crops (wheat, barley, chickpea, lentil, vetch and cumin)”

✓ located verbatim in the source · abstract, characters 290–350

Title

Biophysical and yield information for precision farming from near-real-time and historical Landsat TM images

P. S. Thenkabail International Journal of Remote Sensing 2003. doi:10.1080/01431160710155974

Other claims from this paper (5)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Organic winter wheat yield variability was highest, at 33%.

Taxon
winter wheatTriticum aestivume0
Outcome
yield variabilitye1
Direction
higheste1
Value
33%e0

Verbatim

e0

“winter wheat (CV = 33%) phases of the rotation”

✓ located verbatim in the source · abstract, characters 1799–1845
e1

“Temporal yield variability differed among management systems and rotation phases and was highest in the ORG system during the soybean (CV = 48%) and winter wheat (CV = 33%) phases of the rotation”

✓ located verbatim in the source · abstract, characters 1650–1845

Title

Temporal Yield Variability under Conventional and Alternative Management Systems

Richard G. Smith; Fabian D. Menalled; G. P. Robertson Agronomy Journal 2007. doi:10.2134/agronj2007.0096

Other claims from this paper (10)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Clustering identified stable spatial and temporal yield clusters.

Outcome
stable, physically meaningful clusters with recognizable spatial and temporal structuree0

Not reportedComparator

Verbatim

e0

“The clustering procedure successfully identified stable, physically meaningful clusters with recognizable spatial and temporal structure”

✓ located verbatim in the source · abstract, characters 954–1090
e1

“rice fields”

✓ located verbatim in the source · abstract, characters 547–558

Title

Factors Underlying Yield Variability in Two California Rice Fields

Alvaro Roel; Richard E. Plant Agronomy Journal 2004. doi:10.2134/agronj2004.1481

Other claims from this paper (2)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Patterns of winegrape yield variation were temporally stable across seasons.

Taxon
winegrapeVitis viniferae0
Outcome
patterns of yield variatione2
Qualifier
temporal stabilitye2

Verbatim

e0

“Spatial variability in winegrape yield was studied over several vintages”

✓ located verbatim in the source · abstract, characters 0–72
e2

“temporal stability in the patterns of yield variation was demonstrated”

✓ located verbatim in the source · abstract, characters 655–725

Title

Understanding variability in winegrape production systems

R.G.V. BRAMLEY; R.P. HAMILTON Australian Journal of Grape and Wine Research 2008. doi:10.1111/j.1755-0238.2004.tb00006.x

Other claims from this paper (6)

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