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Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation 4

Show all 4 →
Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

The accuracy of estimated daily solar radiation models did not differ substantially among sites.

Outcome
accuracye0
Comparator
sitese0

Verbatim

e0

“The accuracy of the 5 models for estimated daily solar radiation was similar, and it was not substantially different among sites.”

✓ located verbatim in the source · abstract, characters 589–718

Title

Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation

Alexandre Bryan Heinemann; Pepijn A.J. van Oort; Diogo Simões Fernandes; et al. Bragantia 2012. doi:10.1590/s0006-87052012000400016

Other claims from this paper (4)
Method / resourceobservedoriginal resultno effectsimulated

Claim · model-written summary

In water-limited, non-irrigated environments, simulated LAI was not sensitive to uncertainty in the radiation models.

Outcome
LAIe0
Qualifier
water limited environments (no irrigation)e0
Comparator
radiation modelse0

Verbatim

e0

“For water limited environments (no irrigation), crop model outputs yield, biomass and LAI was not sensitive for the uncertainties in radiation models studied here.”

✓ located verbatim in the source · abstract, characters 719–882

Title

Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation

Alexandre Bryan Heinemann; Pepijn A.J. van Oort; Diogo Simões Fernandes; et al. Bragantia 2012. doi:10.1590/s0006-87052012000400016

Other claims from this paper (4)
Method / resourceobservedoriginal resultno effectsimulated

Claim · model-written summary

In water-limited, non-irrigated environments, simulated crop yield was not sensitive to uncertainty in the radiation models.

Outcome
yielde0
Qualifier
water limited environments (no irrigation)e0
Comparator
radiation modelse0

Verbatim

e0

“For water limited environments (no irrigation), crop model outputs yield, biomass and LAI was not sensitive for the uncertainties in radiation models studied here.”

✓ located verbatim in the source · abstract, characters 719–882

Title

Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation

Alexandre Bryan Heinemann; Pepijn A.J. van Oort; Diogo Simões Fernandes; et al. Bragantia 2012. doi:10.1590/s0006-87052012000400016

Other claims from this paper (4)

Development and Evaluation of a Flow Measurement Device for Cotton Yield Mapping 3

Show all 3 →
Associationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Time since calibration had no significant effect on load prediction errors.

Outcome
load prediction errorse0
Direction
nosignificant effecte0
Qualifier
time elapsed since last system calibratione0

Not reportedSetting

Verbatim

e0

“the amount of time elapsed since last system calibration had nosignificant effect on load prediction errors”

✓ located verbatim in the source · abstract, characters 913–1020
t0

“Cotton Yield Mapping”

✓ located verbatim in the source · title, characters 60–80

Title

Development and Evaluation of a Flow Measurement Device for Cotton Yield Mapping

John B. Wilkerson; F. Henry Moody; William E. Hart 2001 Sacramento, CA July 29-August 1,2001 2001. doi:10.13031/2013.5522

Other claims from this paper (6)
Associationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Cotton moisture content had no significant effect on load prediction errors.

Organ / stage
cottone0
Outcome
load prediction errorse0
Direction
nosignificant effecte0

Verbatim

e0

“Average cotton flow rate, cottonmoisture content, and the amount of time elapsed since last system calibration had nosignificant effect on load prediction errors”

✓ located verbatim in the source · abstract, characters 859–1020
t0

“Cotton Yield Mapping”

✓ located verbatim in the source · title, characters 60–80

Title

Development and Evaluation of a Flow Measurement Device for Cotton Yield Mapping

John B. Wilkerson; F. Henry Moody; William E. Hart 2001 Sacramento, CA July 29-August 1,2001 2001. doi:10.13031/2013.5522

Other claims from this paper (6)
Associationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Average cotton flow rate had no significant effect on load prediction errors.

Outcome
load prediction errorse0
Direction
nosignificant effecte0
Qualifier
Average cotton flow ratee0

Not reportedSetting

Verbatim

e0

“Average cotton flow rate, cottonmoisture content, and the amount of time elapsed since last system calibration had nosignificant effect on load prediction errors”

✓ located verbatim in the source · abstract, characters 859–1020
t0

“Cotton Yield Mapping”

✓ located verbatim in the source · title, characters 60–80

Title

Development and Evaluation of a Flow Measurement Device for Cotton Yield Mapping

John B. Wilkerson; F. Henry Moody; William E. Hart 2001 Sacramento, CA July 29-August 1,2001 2001. doi:10.13031/2013.5522

Other claims from this paper (6)

The Distribution of Cysts of Globodera Rostochiensis in Small Plots and the Resulting Sampling Errors 2

Show all 2 →
Observationobservedoriginal resultno effectmeasured

Claim · model-written summary

The value of k was the same for samples taken before planting and after lifting of the potatoes in the same field.

Taxon
potatoesSolanum tuberosume0
Outcome
value of ke0
Direction
the samee0
Setting
the same fielde0

Verbatim

e0

“The value of k was the same for samples taken before planting and, in the same field after lifting of the potatoes”

✓ located verbatim in the source · abstract, characters 1167–1281

Title

The Distribution of Cysts of Globodera Rostochiensis in Small Plots and the Resulting Sampling Errors

J.W. Seinhorst Nematologica 1982. doi:10.1163/187529282x00321

Other claims from this paper (5)
Observationobservedoriginal resultno effectmeasured

Claim · model-written summary

The value of k is largely independent of cyst density and soil type.

Taxon
potatoesSolanum tuberosume0
Outcome
value of ke0
Qualifier
largely independent of cyst density and soil typee5

Verbatim

e0

“The value of k was the same for samples taken before planting and, in the same field after lifting of the potatoes”

✓ located verbatim in the source · abstract, characters 1167–1281
e5

“Apparently, it was also largely independent of cyst density and soil type”

✓ located verbatim in the source · abstract, characters 1283–1356

Title

The Distribution of Cysts of Globodera Rostochiensis in Small Plots and the Resulting Sampling Errors

J.W. Seinhorst Nematologica 1982. doi:10.1163/187529282x00321

Other claims from this paper (5)

Application of principal component analysis to the prediction of lucerne forage protein content and in vitro dry matter digestibility by NIR spectroscopy 2

Show all 2 →
Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

For IVDMD determination, PCR and MLR gave similar results, with correlation coefficients of 0.942 (MLR) and 0.951 (PCR).

Taxon
lucerneMedicago sativat0
Outcome
IVDMD determinatione0
Value
0.942 and 0.951e0
Qualifier
standard errors of prediction: 2.22 and 2.22% DMe0

Verbatim

t0

“lucerne”

✓ located verbatim in the source · title, characters 65–72
e0

“The same was observed for IVDMD determination (correlation coefficients: 0.942 and 0.951; standard errors of calibration: 1.89 and 1.71% DM; standard errors of prediction: 2.22 and 2.22% DM, respectively)”

✓ located verbatim in the source · abstract, characters 926–1130

Title

Application of principal component analysis to the prediction of lucerne forage protein content and in vitro dry matter digestibility by NIR spectroscopy

Dominique Bertrand; Marc Lila; Vincent Furtoss; et al. Journal of the Science of Food and Agriculture 1987. doi:10.1002/jsfa.2740410402

Other claims from this paper (3)
Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

For protein determination in 345 lucerne forage samples, PCR and MLR gave quite similar results, with correlation coefficients of 0.978 (MLR) and 0.980 (PCR).

Taxon
lucerneMedicago sativat0
Outcome
protein determinatione0
Value
0.978 and 0.980e0
Qualifier
standard errors of prediction: 0.81 and 0.80% DMe0
Comparator
MLRe0

Verbatim

t0

“lucerne”

✓ located verbatim in the source · title, characters 65–72
e0

“For protein determination, results of both procedures were quite similar (correlation coefficients: 0.978 and 0.980; standard errors of calibration: 0.86 and 0.84% DM; standard errors of prediction: 0.81 and 0.80% DM respectively for MLR and PCR prediction equations)”

✓ located verbatim in the source · abstract, characters 657–924

Title

Application of principal component analysis to the prediction of lucerne forage protein content and in vitro dry matter digestibility by NIR spectroscopy

Dominique Bertrand; Marc Lila; Vincent Furtoss; et al. Journal of the Science of Food and Agriculture 1987. doi:10.1002/jsfa.2740410402

Other claims from this paper (3)

Yield Editor 2.0: Software for Automated Removal of Yield Map Errors 2

Show all 2 →
Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

Yield Editor 2.0 gives equivalent accuracy compared with the interactive methods of Yield Editor 1.x.

Outcome
accuracye2
Direction
equivalente2
Comparator
interactive methods available in Yield Editor 1.xe2

Verbatim

e2

“Yield Editor 2.0 provides greatly improved efficiency and equivalent accuracy compared to the interactive methods available in Yield Editor 1.x”

✓ located verbatim in the source · abstract, characters 1266–1409

Title

Yield Editor 2.0: Software for Automated Removal of Yield Map Errors

Kenneth A Sudduth; Scott T Drummond; D Brenton Myers 2012 Dallas, Texas, July 29 - August 1, 2012 2012. doi:10.13031/2013.41893

Other claims from this paper (2)
Method / resourceobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

On fifty grain yield maps, automated AYCE cleaning did not differ significantly from interactive cleaning by an expert user for field mean yield, yield standard deviation and number of remaining yield observations.

Outcome
field mean yield, yield standard deviation, and number of yield observations remaining after cleaninge1
Qualifier
not significantly differente1
Comparator
interactive cleaning by an expert usere1

Verbatim

e1

“On a test set of fifty grain yield maps, AYCE cleaning was not significantly different than interactive cleaning by an expert user when examining field mean yield, yield standard deviation, and number of yield observations remaining after cleaning”

✓ located verbatim in the source · abstract, characters 1017–1264

Title

Yield Editor 2.0: Software for Automated Removal of Yield Map Errors

Kenneth A Sudduth; Scott T Drummond; D Brenton Myers 2012 Dallas, Texas, July 29 - August 1, 2012 2012. doi:10.13031/2013.41893

Other claims from this paper (2)

Evaluation of Planter Errors Associated with Twin‐Row Soybean Production in Mississippi 2

Show all 2 →
Intervention effectobservedoriginal resultno effectmeasured

Claim · model-written summary

Separate missing rows did not reduce soybean yield compared with no error.

Taxon
soybeanGlycine maxt0
Treatment
Separatee0
Outcome
yielde0
Direction
did not reducee0
Comparator
Nonee0

Verbatim

e0

“Single and Separate planter error did not reduce yield compared with None.”

✓ located verbatim in the source · abstract, characters 1489–1563
t0

“Soybean”

✓ located verbatim in the source · title, characters 54–61

Title

Evaluation of Planter Errors Associated with Twin‐Row Soybean Production in Mississippi

Richard M. Smith; Gurpreet Kaur; John M. Orlowski; et al. Agronomy Journal 2019. doi:10.2134/agronj2018.08.0488

Other claims from this paper (4)
Intervention effectobservedoriginal resultno effectmeasured

Claim · model-written summary

A single missing row did not reduce soybean yield compared with no error.

Taxon
soybeanGlycine maxt0
Treatment
Singlee0
Outcome
yielde0
Direction
did not reducee0
Comparator
Nonee0

Verbatim

e0

“Single and Separate planter error did not reduce yield compared with None.”

✓ located verbatim in the source · abstract, characters 1489–1563
t0

“Soybean”

✓ located verbatim in the source · title, characters 54–61

Title

Evaluation of Planter Errors Associated with Twin‐Row Soybean Production in Mississippi

Richard M. Smith; Gurpreet Kaur; John M. Orlowski; et al. Agronomy Journal 2019. doi:10.2134/agronj2018.08.0488

Other claims from this paper (4)

REAL-TIME X-RAY INSPECTION OF WHEAT FOR INFESTATION BY THE GRANARY WEEVIL, SITOPHILUS GRANARIUS (L.) 1

Show all 1 →
Method / resourceobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

For infestations beyond the third larval instar, recognition errors were below 2% for both image sets and did not differ significantly.

Outcome
errors for both sets of imagese0
Direction
not significantly differente0
Value
below2%e0
Qualifier
more advanced than the 3rd larval instare0
Comparator
both sets of imagese0

Verbatim

t0

“WHEAT”

✓ located verbatim in the source · title, characters 30–35
e0

“when considering only infestations more advanced than the 3rd larval instar, errors for both sets of images fell below2% and were not significantly different”

✓ located verbatim in the source · abstract, characters 1116–1273

Title

REAL-TIME X-RAY INSPECTION OF WHEAT FOR INFESTATION BY THE GRANARY WEEVIL, SITOPHILUS GRANARIUS (L.)

R. P. Haff; D. C. Slaughter Transactions of the ASAE 2004. doi:10.13031/2013.16022

Other claims from this paper (5)

The uptake of 15N‐labelled fertiliser by winter wheat and its immobilisation in a clay soil after direct drilling or ploughing 1

Show all 1 →
Observationobservedoriginal resultno effectmeasured

Claim · model-written summary

Changes due to mineralisation of soil organic matter during the two years were within the errors of the experiment.

Taxon
winter wheatTriticum aestivume1
Outcome
changes due to mineralisation of the soil organic mattere2
Qualifier
within the errors of the experimente2

Verbatim

e1

“The uptake of fertiliser nitrogen (N) by winter wheat was measured”

✓ located verbatim in the source · abstract, characters 9–75
e2

“Any changes due to mineralisation of the soil organic matter during the 2 years of the experiment were within the errors of the experiment”

✓ located verbatim in the source · abstract, characters 1314–1452

Title

The uptake of 15N‐labelled fertiliser by winter wheat and its immobilisation in a clay soil after direct drilling or ploughing

Rodney J. Dowdell; Rachel Crees Journal of the Science of Food and Agriculture 1980. doi:10.1002/jsfa.2740311004

Other claims from this paper (8)

Diagnostic leaf analysis for stone fruit. I. Errors associated with standard and simplified sampling procedures 1

Show all 1 →
Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

Sampling non-fruiting wood did not increase sampling error.

Taxon
stone fruitt0
Outcome
errore0
Direction
did not increasee0
Comparator
non-fruiting woode0

Verbatim

e0

“the sampling of non-fruiting wood did not increase error.”

✓ located verbatim in the source · abstract, characters 555–612
t0

“Diagnostic leaf analysis for stone fruit. I. Errors associated with standard and simplified sampling procedures”

✓ located verbatim in the source · title, characters 0–111

Title

Diagnostic leaf analysis for stone fruit. I. Errors associated with standard and simplified sampling procedures

DR Leece Australian Journal of Experimental Agriculture and Animal Husbandry 1972. doi:10.1071/ea9720315

Other claims from this paper (6)

Standard Errors of Heritabilities for Forage Breeding Nurseries 1

Show all 1 →
Method / resourceobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Heritability estimates from the two methods were statistically the same in both models.

Taxon
red cloverTrifolium pratensee1
Outcome
Heritability estimatese0
Comparator
two methodse0

Not reportedDirection

Verbatim

e0

“Heritability estimates were statistically the same for the two methods for both models.”

✓ located verbatim in the source · abstract, characters 702–789
e1

“red clover germplasm”

✓ located verbatim in the source · abstract, characters 680–700

Title

Standard Errors of Heritabilities for Forage Breeding Nurseries

Daniel Real; Ian L. Gordon Biometrics 1999. doi:10.1111/j.0006-341x.1999.00891.x

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