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 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 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 resultnegativeprojected

Claim · model-written summary

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

Taxon: maizeZea mayse0
Outcome: maize yieldse0
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 yield safety.
Method / resource Comparison of observed and simulated data suggested two model improvements for projections of environmental stress impacts.

Method / resourceobservedoriginal resultno effectnot significant (as stated)simulated

Claim · model-written summary

The controller caused no significant decrease in simulated maize leaf area index relative to constant irrigation.

Taxon: maizeZea mayse1
Outcome: leaf area indexe0
Direction: without any significant decreasee0
Comparator: constant irrigation method of the DSSAT modele0

Verbatim

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)

“yield decrease”

Claim types

Direction of the findings

Over time

Claim type

Research area

Polarity

Statistics