Search claims · PlantClaims

Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

Median ensemble potato yield fell 2% for each 10% rainfall decrease at nonirrigated sites.

Taxon: potatoSolanum tuberosumt0
Outcome: yielde1
Direction: declinede0
Value: 2%e0
Qualifier: for every 10% decrease in rainfall (for nonirrigated sites)e0

Verbatim

e0
“declined 2% for every 10% decrease in rainfall (for nonirrigated sites)”
✓ located verbatim in the source · abstract, characters 1652–1723

e1
“yield increased on average 6% per 100-ppm C”
✓ located verbatim in the source · abstract, characters 1581–1624

t0
“potato”
✓ located verbatim in the source · title, characters 2–8

Title

A potato model intercomparison across varying climates and productivity levels

David H. Fleisher; Bruno Condori; Roberto Quiroz; et al. Global Change Biology 2016. doi:10.1111/gcb.13411

Other claims from this paper (16)

Method / resource The median potato model ensemble replicated observed yield better than any individual model across all locations.
Method / resource Full calibration reduced simulated yield uncertainty from 38% to 20%.
Observation Model uncertainty increased with interannual variability.
Method / resource Predictions for all agronomic variables differed significantly among models.
Method / resource Model uncertainty averaged 15% higher at low input than high input sites.
Method / resource Low versus high input sites differed more in uncertainty for evapotranspiration, nitrogen uptake and water use efficiency than dry matter.
Method / resource At least five partially calibrated models were needed to keep ensemble variability below field variation.
Method / resource At least three fully calibrated models were needed to keep ensemble variability below field variation.
Observation Carbon dioxide change did not influence model variation.
Method / resource Temperature or rainfall departures from historical levels raised yield model variation as much as 41%.
Method / resource Temperature or rainfall departures raised evapotranspiration model variation as much as 23%.
Observation Temperature increases accounted for the most uncertainty among the climate factors.
Method / resource Median ensemble potato yield rose on average 6% per 100 ppm carbon dioxide increase.
Method / resource Median ensemble potato yield fell 4.6% per °C temperature increase.
Method / resource Different representations of light utilization produced significantly different predictions.
Recommendation The authors suggest that ensemble approaches can improve assessments of climate change impacts on potato.

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Isareg overestimated yield decrease when relative evapotranspiration exceeded 0.8.

Taxon: MAIZEZea mayst0
Outcome: overestimates its valuee0
Value: 0.8e0
Qualifier: relative evapotranspiration is above 0.8e0

Verbatim

e0
“however it overestimates its value when the relative evapotranspiration is above 0.8.”
✓ located verbatim in the source · abstract, characters 1030–1115

t0
“WATER DEFICIENCY ON THE MAIZE GRAIN YIELD DECREASE IN THE CATARINENSE FAR WEST”
✓ located verbatim in the source · title, characters 0–78

Title

WATER DEFICIENCY ON THE MAIZE GRAIN YIELD DECREASE IN THE CATARINENSE FAR WEST

CLÍSTENES ANTÔNIO GUADAGNIN; EDGAR RICARDO SCHOFFEL; HELVIO DEBLI CASALINHO; et al. Revista Brasileira de Milho e Sorgo 2017. doi:10.18512/1980-6477/rbms.v16n1p61-71

Other claims from this paper (6)

Observation The Isareg model estimated average maize grain yield decrease of 25.1%.
Observation The largest maize yield decrease occurred with early August sowing.
Observation The smallest maize yield decrease occurred with late January to February sowings.
Observation Yield decrease varied by up to 3.9% among maturation cycles.
Method / resource Isareg was judged appropriate for estimating grain yield decrease.
Observation A 40% grain yield decrease had a 10.5% occurrence probability.

Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

The polynomial model could not calculate a salinity yield decrease value.

Taxon: vegetables, and ornamentalse1
Outcome: calculation of the salinity yield decrease (SYD) value is not possiblee0
Comparator: polynomial modele0

Not reportedDirection

Verbatim

e0
“The polynomial model has the drawback that calculation of the salinity yield decrease (SYD) value is not possible.”
✓ located verbatim in the source · abstract, characters 676–790

e1
“various vegetables, and ornamentals were grown in a substrate system”
✓ located verbatim in the source · abstract, characters 95–163

Title

Modeling Osmotic Salinity Effects on Yield Characteristics of Substrate-Grown Greenhouse Crops

C. Sonneveld; A. L. van den Bos; W. Voogt Journal of Plant Nutrition 2004. doi:10.1081/lpla-200030053

Other claims from this paper (8)

Method / resource Polynomial and exponential models generally had higher correlation coefficients than the piecewise linear model.
Method / resource All tested models produced salinity threshold estimates.
Method / resource The polynomial model estimated an average EC threshold of 2.4 dS m−1.
Method / resource The exponential model estimated an average EC threshold of 2.1 dS m−1.
Method / resource The piecewise linear model estimated an average EC threshold of 2.2 dS m−1.
Method / resource The exponential equation gave the closest relationship between root environment EC and crop yield characteristics.
Method / resource Fifth order polynomial equations had equal or higher correlation coefficients but were sensitive to observation placement.
Method / resource The Maas and Hoffman model could reasonably estimate salinity parameters when observations were insufficient for exponential fitting.

Method / resourceobservedoriginal resultnegativeprojected

Claim · model-written summary

EPIC projected a corn yield decrease under the coarse scenario.

Taxon: cornZea mays subsp. mayst0
Direction: decreasee0
Comparator: coarse scenarioe0

Not reportedOutcomeValue

Verbatim

e0
“EPIC simulated a decrease for the coarse scenario but no change for the fine scale scenario”
✓ located verbatim in the source · abstract, characters 568–659

t0
“for wheat and corn”
✓ located verbatim in the source · abstract, characters 61–79

Title

Comparative responses of EPIC and CERES crop models to high and low spatial resolution climate change scenarios

L. O. Mearns; T. Mavromatis; E. Tsvetsinskaya; et al. Journal of Geophysical Research Atmospheres 1999. doi:10.1029/1998jd200061

Other claims from this paper (5)

Method / resource CERES projected moderate corn yield decreases under both scenarios.
Method / resource EPIC projected no change in corn yield under the fine scale scenario.
Method / resource The models also differed in simulated wheat yields.
Mechanism Model differences in yield arose from contrasting formation of final yield despite similar potential biomass simulation.
Method / resource Crop model type was identified as an uncertainty in impact assessment alongside climate scenario spatial resolution.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Sesame seed yield began to decrease at a plant water stress index of 0.31.

Taxon: sesameSesamum indicume0
Outcome: threshold plant water stress index valuee0
Direction: decreasee0
Value: 0.31e0

Verbatim

e0
“the threshold plant water stress index value, where sesame seed yield starts to decrease, was calculated as 0.31”
✓ located verbatim in the source · abstract, characters 1568–1680

Title

Determination of Irrigation Time by Utilizing Plant Water Stress Index (CWSI) Values of II. Crop Sesame Genotype in Siirt Conditions

UÇAK, Ali Beyhan; ARSLAN, Hüseyin; ÖZÇINAR, Aynur Bilmez; et al. Zenodo (CERN European Organization for Nuclear Research) 2022. doi:10.5281/zenodo.5921767

Other claims from this paper (11)

Observation Full irrigation supplied 575.00 mm in the first year.
Observation Full irrigation supplied 576.66 mm in the following year.
Observation Sesame water consumption under full irrigation was 606.00 mm in the first year.
Observation Sesame water consumption under full irrigation was 646.33 mm in the second year.
Observation Sesame yield under full irrigation was 1110.34 kg per hectare in the first year.
Observation Sesame yield under full irrigation was 1319.00 kg per hectare in the second year.
Method / resource The sesame unstressed lower limit was Tc-Ta=0.373-2.42 VPD in the first year.
Method / resource The sesame unstressed lower limit was Tc-Ta=0.74-2.52 VPD in the second year.
Method / resource The fully stressed sesame upper limit was 2.04 °C in the first year.
Method / resource The fully stressed sesame upper limit was 1.77 °C in the second year.
Association Sesame seed yield was negatively related to plant water stress index.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

AquaCrop simulated well the decrease of silage maize biomass yield under drought, as happened in the field.

Taxon: Silage Maizet0
Outcome: biomass yielde1
Comparator: as happened in the fielde1

Verbatim

e1
“AquaCrop simulated well the decrease of the biomass yield (B-yield) of silage maize in response to drought as happened in the field”
✓ located verbatim in the source · abstract, characters 595–726

t0
“Silage Maize”
✓ located verbatim in the source · title, characters 10–22

Title

Irrigated Silage Maize Yield and Water Productivity Response to Deficit Irrigation in an Arid Region

H. R. Salemi; Mohd Amin Mohd Soom; Sayed‐Farhad Mousavi; et al. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) 2011

Other claims from this paper (10)

Intervention effect Silage maize biomass yield was decreased by 9.9% under deficit irrigation compared with fully irrigated conditions.
Method / resource The coefficient of determination for simulated silage maize B-yield was 0.95.
Method / resource The coefficient of determination for simulated water productivity of silage maize was 0.99.
Method / resource The coefficient of determination of 0.77 for actual evapotranspiration was not satisfactory.
Method / resource Across three years, RMSE of the AquaCrop simulations ranged from 0.90% to 3.85%.
Method / resource Across three years, the d index of the AquaCrop simulations ranged from 0.98 to 1.
Method / resource Across three years, ME of the AquaCrop simulations ranged from 1.25% to 6.4%.
Method / resource Across three years, CRM of the AquaCrop simulations ranged from -0.027 to 0.03.
Method / resource Across three years, E of the AquaCrop simulations ranged from 0.817 to 100%.
Method / resource A local second-degree polynomial crop water production function for silage maize was presented.

Method / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

The FAO-based methodology used to assess the risk of cotton yield decrease was considered efficient after validation.

Taxon: cottonGossypium hirsutume0
Outcome: risk of yield decreasee3

Not reportedComparatorValue

Verbatim

e0
“The objective of this work was to develop the zoning of the risk estimation of cotton yield reduction in the state of Mato Grosso, using the FAO method”
✓ located verbatim in the source · abstract, characters 215–366

e3
“Trough the validation of the obtained results, it can be considered that the methodology adopted in this work to verify the risk of yield decrease proved to be efficient”
✓ located verbatim in the source · abstract, characters 864–1033

Title

Zoning of Water Deficiency Risk for Conventional Cotton in Mato Grosso

Elizangela Selma da Silva; José Holanda Campelo Júnior; Francisco De Almeida Lobo; et al. Journal of Experimental Agriculture International 2019. doi:10.9734/jeai/2019/v35i430213

Other claims from this paper (3)

Association The southernmost regions of Mato Grosso had the highest cotton yield reduction risk, attributed to lower precipitation.
Intervention effect Sowing period 1 had the lowest cotton yield reduction risk.
Association The late-cycle cultivar in season 4 had the highest cotton yield reduction risk.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

NaN03-soluble soil nickel better predicted lettuce yield decrease than total or CaCl2-soluble soil nickel.

Taxon: lettuceLactuca sativae0
Treatment: NaN03‐soluble soil Nie0
Outcome: decrease in yielde0
Direction: better suitede0
Qualifier: irrespective of soil typee0
Comparator: total soil Ni (Added+ Native) and CaCl2 soluble soil Nie0

Verbatim

e0
“NaN03‐soluble soil Ni, irrespective of soil type, is better suited to predict the decrease in yield and increase in Ni‐concentration of lettuce leaves as compared to total soil Ni (Added+ Native) and CaCl2 soluble soil Ni.”
✓ located verbatim in the source · abstract, characters 489–711

Title

The effect of graded doses of nickel on the yield, the nickel content of lettuce and the soil respiration

S.K. Gupta; H. Hani; E. Santschi; et al. Toxicological & Environmental Chemistry Reviews 1987. doi:10.1080/02772248709357189

Other claims from this paper (4)

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The crop water stress index threshold at which sunflower seed yield started to decrease was 0.33 from infrared thermometer measurements at irrigation time.

Taxon: sunflowerHelianthus annuuse0
Outcome: Crop water stress index value thresholde0
Value: 0.33e0

Verbatim

e0
“Crop water stress index value threshold at which sunflower seed yield started to decrease was calculated as 0.33 using the infrared thermometer measurements at the time of irrigation”
✓ located verbatim in the source · abstract, characters 970–1152

Title

Determination of Irrigation Time Using Plant Water Stress Index Values of Second Crop Sunflower in Semi-Arid Climate Conditions

Ali Beyhan Uçak; Halis Seçme Turkish Journal of Agriculture - Food Science and Technology 2021. doi:10.24925/turjaf.v9i12.2289-2295.4641

Other claims from this paper (5)

Method / resource The lower limit (non-stressed baseline) for sunflower plant water stress index was Tc-Ta=-2.528xVPD+0.749 with R2=0.814.
Method / resource The upper limit, at which the plant is completely under water stress, was determined as +3.27 degrees C.
Association Sunflower seed yield was negatively correlated with CWSI values.
Observation Water consumption under full irrigation was 721 mm.
Observation Sunflower seed yield under full irrigation was 3516.00 kg/ha.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Contributions of the flag leaf and fourth leaf estimated from the grain-yield decrease under shading agreed closely with 14CO2 estimates.

Taxon: Sorghum vulgareSorghum bicolort0
Outcome: percentage contributions to the graine0
Direction: agreed closelye0
Comparator: estimates obtained by using 14CO2e0

Verbatim

e0
“The percentage contributions to the grain by the flag leaf and fourth leaf, estimated from the decrease in grain yield when they were shaded, agreed closely with the estimates obtained by using 14CO2”
✓ located verbatim in the source · abstract, characters 801–1000

t0
“Sorghum vulgare”
✓ located verbatim in the source · title, characters 31–46

Title

Studies of grain production in Sorghum vulgare . II. Sites responsible for grain dry matter production during the post-anthesis period

KS Fischer; GL Wilson Australian Journal of Agricultural Research 1971. doi:10.1071/ar9710039

Other claims from this paper (5)

“yield decrease”

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