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Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

A regression model identified ET of 334.3−348.7 mm as part of the optimum balance for yield, WUE and NPFP.

Taxon
sunflowerHelianthus annuuse1
Treatment
ET rangee0
Outcome
optimal balance between the multiple production objectives: yield, WUE and NPFPe0
Value
334.3−348.7 mme0

Verbatim

e0

“an ET range of 334.3−348.7 mm and N application rate of 160.9−175.3 kg ha –1 achieved an optimal balance between the multiple production objectives: yield, WUE and NPFP.”

✓ located verbatim in the source · abstract, characters 1742–1911
e1

“sunflower growth, yield”

✓ located verbatim in the source · abstract, characters 456–479

Title

Optimizing irrigation and nitrogen application strategies to improve sunflower yield and resource use efficiency in a cold and arid oasis region of Northwest China

Xietian Chen; Hengjia Zhang; Shouchao Yu; et al. Frontiers in Plant Science 2024. doi:10.3389/fpls.2024.1429548

Other claims from this paper (8)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Allometric prediction of sugarcane biomass from cane height on each date differed from harvested plots by 2±3 %.

Taxon
sugarcanee1
Outcome
percentage difference and the associated errore1
Value
2±3 %e2
Qualifier
height on each datee2
Comparator
2.5m harvested plotse1

Verbatim

e1

“The percentage difference and the associated error between sugarcane biomass predicted by allometric models and 2.5m harvested plots”

✓ located verbatim in the source · abstract, characters 1383–1515
e2

“The values for cane: 1) height on each date; 2) height x diameter on each date; and 3) height x diameter using a global relationship across sampling dates was 2±3 %, 2±3 % and 5±3 % respectively”

✓ located verbatim in the source · abstract, characters 1613–1807

Title

Non-destructive sampling procedures for studying nitrogen use efficiency throughout the sugarcane crop growth cycle

Daniel Poultney; Antoine Versini; Mathias Christina Agritrop (Cirad) 2018

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

Claim · model-written summary

A regression model identified N of 160.9−175.3 kg ha –1 as part of the optimum balance for yield, WUE and NPFP.

Taxon
sunflowerHelianthus annuuse1
Treatment
N application ratee0
Outcome
optimal balance between the multiple production objectives: yield, WUE and NPFPe0
Value
160.9−175.3 kg ha –1e0

Verbatim

e0

“an ET range of 334.3−348.7 mm and N application rate of 160.9−175.3 kg ha –1 achieved an optimal balance between the multiple production objectives: yield, WUE and NPFP.”

✓ located verbatim in the source · abstract, characters 1742–1911
e1

“sunflower growth, yield”

✓ located verbatim in the source · abstract, characters 456–479

Title

Optimizing irrigation and nitrogen application strategies to improve sunflower yield and resource use efficiency in a cold and arid oasis region of Northwest China

Xietian Chen; Hengjia Zhang; Shouchao Yu; et al. Frontiers in Plant Science 2024. doi:10.3389/fpls.2024.1429548

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The mNDblue index gave an R 2 of 0.61 for agronomical NUE assessment at the late grain-filling stage.

Taxon
winter wheatTriticum aestivume0
Organ / stage
late grain-filling stagee5
Outcome
R 2e5
Value
0.61e5
Qualifier
agronomical NUE (aNUE) assessmente5

Verbatim

e0

“yield or NUE assessment in winter wheat”

✓ located verbatim in the source · abstract, characters 270–309
e5

“the modified normalized difference blue index (mNDblue) was more accurate during the reproductive period, providing the best accuracy for agronomical NUE (aNUE) assessment at the late grain-filling stage, with R 2 , RMSE, and MAE of 0.61, 7.48 kg yield/kg N, and 6.05 kg yield/kg N”

✓ located verbatim in the source · abstract, characters 1408–1689

Title

Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery

Jikai Liu; Yongji Zhu; Xinyu Tao; et al. Frontiers in Plant Science 2022. doi:10.3389/fpls.2022.1032170

Other claims from this paper (12)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Allometric prediction of sugarcane biomass from cane height times diameter on each date differed from harvested plots by 2±3 %.

Taxon
sugarcanee1
Outcome
percentage difference and the associated errore1
Value
2±3 %e2
Qualifier
height x diameter on each datee2
Comparator
2.5m harvested plotse1

Verbatim

e1

“The percentage difference and the associated error between sugarcane biomass predicted by allometric models and 2.5m harvested plots”

✓ located verbatim in the source · abstract, characters 1383–1515
e2

“The values for cane: 1) height on each date; 2) height x diameter on each date; and 3) height x diameter using a global relationship across sampling dates was 2±3 %, 2±3 % and 5±3 % respectively”

✓ located verbatim in the source · abstract, characters 1613–1807

Title

Non-destructive sampling procedures for studying nitrogen use efficiency throughout the sugarcane crop growth cycle

Daniel Poultney; Antoine Versini; Mathias Christina Agritrop (Cirad) 2018

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

Claim · model-written summary

The repRVI index gave an R 2 of 0.85 for winter wheat yield assessment at the late grain-filling stage.

Taxon
winter wheatTriticum aestivume0
Organ / stage
late grain-filling stagee2
Outcome
R 2e2
Value
0.85e2
Qualifier
yield assessmente1

Verbatim

e0

“yield or NUE assessment in winter wheat”

✓ located verbatim in the source · abstract, characters 270–309
e1

“the reciprocal ratio vegetation index (repRVI) had a high potential for yield assessment throughout the growing season”

✓ located verbatim in the source · abstract, characters 784–902
e2

“the late grain-filling stage was deemed as the optimal single stage with R 2 , root mean square error (RMSE), and mean absolute error (MAE) of 0.85, 793.96 kg/ha, and 656.31 kg/ha”

✓ located verbatim in the source · abstract, characters 908–1087

Title

Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery

Jikai Liu; Yongji Zhu; Xinyu Tao; et al. Frontiers in Plant Science 2022. doi:10.3389/fpls.2022.1032170

Other claims from this paper (12)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The repRVI index gave an RMSE of 793.96 kg/ha for winter wheat yield assessment at the late grain-filling stage.

Taxon
winter wheatTriticum aestivume0
Organ / stage
late grain-filling stagee2
Outcome
RMSEe2
Value
793.96 kg/hae2
Qualifier
yield assessmente1

Verbatim

e0

“yield or NUE assessment in winter wheat”

✓ located verbatim in the source · abstract, characters 270–309
e1

“the reciprocal ratio vegetation index (repRVI) had a high potential for yield assessment throughout the growing season”

✓ located verbatim in the source · abstract, characters 784–902
e2

“the late grain-filling stage was deemed as the optimal single stage with R 2 , root mean square error (RMSE), and mean absolute error (MAE) of 0.85, 793.96 kg/ha, and 656.31 kg/ha”

✓ located verbatim in the source · abstract, characters 908–1087

Title

Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery

Jikai Liu; Yongji Zhu; Xinyu Tao; et al. Frontiers in Plant Science 2022. doi:10.3389/fpls.2022.1032170

Other claims from this paper (12)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The repRVI index gave an MAE of 656.31 kg/ha for winter wheat yield assessment at the late grain-filling stage.

Taxon
winter wheatTriticum aestivume0
Organ / stage
late grain-filling stagee2
Outcome
MAEe2
Value
656.31 kg/hae2
Qualifier
yield assessmente1

Verbatim

e0

“yield or NUE assessment in winter wheat”

✓ located verbatim in the source · abstract, characters 270–309
e1

“the reciprocal ratio vegetation index (repRVI) had a high potential for yield assessment throughout the growing season”

✓ located verbatim in the source · abstract, characters 784–902
e2

“the late grain-filling stage was deemed as the optimal single stage with R 2 , root mean square error (RMSE), and mean absolute error (MAE) of 0.85, 793.96 kg/ha, and 656.31 kg/ha”

✓ located verbatim in the source · abstract, characters 908–1087

Title

Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery

Jikai Liu; Yongji Zhu; Xinyu Tao; et al. Frontiers in Plant Science 2022. doi:10.3389/fpls.2022.1032170

Other claims from this paper (12)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The mNDblue index gave an RMSE of 7.48 kg yield/kg N for agronomical NUE assessment at the late grain-filling stage.

Taxon
winter wheatTriticum aestivume0
Organ / stage
late grain-filling stagee5
Outcome
RMSEe5
Value
7.48 kg yield/kg Ne5
Qualifier
agronomical NUE (aNUE) assessmente5

Verbatim

e0

“yield or NUE assessment in winter wheat”

✓ located verbatim in the source · abstract, characters 270–309
e5

“the modified normalized difference blue index (mNDblue) was more accurate during the reproductive period, providing the best accuracy for agronomical NUE (aNUE) assessment at the late grain-filling stage, with R 2 , RMSE, and MAE of 0.61, 7.48 kg yield/kg N, and 6.05 kg yield/kg N”

✓ located verbatim in the source · abstract, characters 1408–1689

Title

Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery

Jikai Liu; Yongji Zhu; Xinyu Tao; et al. Frontiers in Plant Science 2022. doi:10.3389/fpls.2022.1032170

Other claims from this paper (12)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The mNDblue index gave an MAE of 6.05 kg yield/kg N for agronomical NUE assessment at the late grain-filling stage.

Taxon
winter wheatTriticum aestivume0
Organ / stage
late grain-filling stagee5
Outcome
MAEe5
Value
6.05 kg yield/kg Ne5
Qualifier
agronomical NUE (aNUE) assessmente5

Verbatim

e0

“yield or NUE assessment in winter wheat”

✓ located verbatim in the source · abstract, characters 270–309
e5

“the modified normalized difference blue index (mNDblue) was more accurate during the reproductive period, providing the best accuracy for agronomical NUE (aNUE) assessment at the late grain-filling stage, with R 2 , RMSE, and MAE of 0.61, 7.48 kg yield/kg N, and 6.05 kg yield/kg N”

✓ located verbatim in the source · abstract, characters 1408–1689

Title

Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery

Jikai Liu; Yongji Zhu; Xinyu Tao; et al. Frontiers in Plant Science 2022. doi:10.3389/fpls.2022.1032170

Other claims from this paper (12)

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