Search claims · PlantClaims

Method / resourceauthor interpretationoriginal resultsimulated

Claim · model-written summary

Isareg was judged appropriate for estimating grain yield decrease.

Taxon: MAIZEZea mayst0
Outcome: appropriate to estimate the grain yield decreasee0

Not reportedComparatorValue

Verbatim

e0
“The Isareg model is appropriate to estimate the grain yield decrease”
✓ located verbatim in the source · abstract, characters 960–1028

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 overestimated yield decrease when relative evapotranspiration exceeded 0.8.
Observation A 40% grain yield decrease had a 10.5% occurrence probability.

Method / resourceobservedoriginal resultnegativeprojected

Claim · model-written summary

The 4M model predicted a considerable future decrease in maize yield safety.

Taxon: maizeZea mayse0
Outcome: yield safetye0
Direction: decreasee0

Not reportedComparatorValue

Verbatim

e0
“4M predicted a considerable decrease of maize yields as well as yield safety for the future.”
✓ located verbatim in the source · abstract, characters 933–1025

Title

USING LONG-TERM FIELD EXPERIMENT DATA TO PREPARE A CROP SIMULATION MODEL FOR CLIMATE IMPACT STUDIES

GY. MICSKEI Applied Ecology and Environmental Research 2016. doi:10.15666/aeer/1403_263280

Other claims from this paper (6)

Method / resource After calibration, the 4M model adequately simulated biomass production differences among fertilizer levels.
Method / resource After calibration, the 4M model adequately simulated long-term biomass production trends and averages.
Method / resource The 4M model underestimated inter-annual yield variability.
Method / resource A new formula was proposed to simulate increased leaf decay under heat and water stress.
Method / resource The 4M model predicted a considerable future decrease in maize yields.
Method / resource Comparison of observed and simulated data suggested two model improvements for projections of environmental stress impacts.

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 resultmeasured

Claim · model-written summary

Goodness of fit of relative yield decrease with mean CWSI was r 2 = 0.78 for the combined plantings.

Taxon: Spring WheatTriticum aestivumt0
Outcome: relative Y decrease with mean CWSIe5
Value: r 2 = 0.78e5

Verbatim

t0
“Spring Wheat”
✓ located verbatim in the source · title, characters 43–55

e5
“for relative Y decrease with mean CWSI, r 2 = 0.78”
✓ located verbatim in the source · abstract, characters 1417–1467

Title

Evapotranspiration and Yield Estimation of Spring Wheat from Canopy Temperature¹

R. A. Diaz; A. D. Matthias; R. J. Hanks Agronomy Journal 1983. doi:10.2134/agronj1983.00021962007500050018x

Other claims from this paper (8)

Method / resource Goodness of fit of ET versus the temperature-stress-day index was large (r 2 at least 0.93).
Method / resource Goodness of fit of ET versus the stress-degree-day index was large (r 2 at least 0.86).
Method / resource Large r 2 values were obtained for yield versus the temperature-stress-day and stress-degree-day indices.
Method / resource For combined data from all plantings, r 2 for ET versus the stress-degree-day index was 0.90.
Method / resource For combined data from all plantings, r 2 for yield versus the temperature-stress-day index was 0.21.
Observation Slopes and intercepts of the individual regression lines were significantly different.
Method / resource Goodness of fit of relative ET deficit with mean CWSI was r 2 = 0.86 for the combined plantings.
Recommendation The authors recommend the stress-degree-day index as most suitable for wheat yield assessment and water management in northern Utah.

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 resultno effectnot significant (as stated)simulated

Claim · model-written summary

The controller caused no significant decrease in simulated maize yield relative to constant irrigation.

Taxon: maizeZea mayse1
Outcome: yielde0
Direction: without any significant decreasee0
Comparator: constant irrigation method of the DSSAT modele0

Verbatim

t0
“Precision Irrigation”
✓ located verbatim in the source · title, characters 44–64

e0
“almost 40% decrease in water consumption is achieved in comparison to constant irrigation method of the DSSAT model without any significant decrease in yield and leaf area index.”
✓ located verbatim in the source · abstract, characters 2249–2427

e1
“DSSAT (Decision Support System for Agro-technology Transfer) maize crop simulation model”
✓ located verbatim in the source · abstract, characters 1911–1999

Title

Reinforcement Learning Based Controller For Precision Irrigation

Shivaram Irukula OakTrust (Texas A&M University Libraries) 2015

Other claims from this paper (2)

Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

No nitrogen application decreased simulated yield by 8%.

Treatment: no N is appliede0
Outcome: yield decreasee0
Direction: decreasee0
Value: 8%e0

Not reportedTaxon

Verbatim

e0
“8% yield decrease when no N is applied”
✓ located verbatim in the source · abstract, characters 3036–3074

Title

Targeting the right input data to improve crop modeling at global level : [ePoster abstract Gc13B-1085]

Myriam Adam; Richard Robertson; Sika Gbegbelegbe; et al. Agritrop (Cirad) 2012

Other claims from this paper (6)

Method / resource Null soil carbon and nitrogen decreased simulated wheat yields by 45%.
Method / resource Twice the reference soil carbon and nitrogen increased simulated wheat yields by 15%.
Method / resource Initial soil water at wilting point yielded 0% increase in simulated yield.
Method / resource Initial soil water at field capacity yielded 6% increase in simulated yield.
Method / resource Nitrogen application of 150 kg.ha-1 increased simulated yield by 9%.
Method / resource Model yield was more sensitive to nitrogen application than initial soil carbon and nitrogen in Vietnam, Thailand and Japan.

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.

“yield decrease”

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