Search claims · PlantClaims

Method / resourceobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Using SNP subsets based on functional annotation did not significantly decrease chickpea grain-yield prediction accuracy.

Taxon: chickpeaCicer arietinume1
Outcome: prediction accuracy for grain yielde0
Direction: did not significantly decreasee0
Comparator: whole SNP datasete0

Not reportedValue

Verbatim

e0
“Compared with the whole SNP dataset, a subset of SNPs did not significantly decrease prediction accuracy for grain yield despite consisting of a smaller number of SNPs.”
✓ located verbatim in the source · abstract, characters 1672–1840

e1
“chickpea breeding lines”
✓ located verbatim in the source · abstract, characters 333–356

Title

Genomic prediction of preliminary yield trials in chickpea: Effect of functional annotation of SNPs and environment

Yongle Li; Pradeep Ruperao; Jacqueline Batley; et al. The Plant Genome 2021. doi:10.1002/tpg2.20166

Other claims from this paper (7)

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 / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The model accurately predicted reduced cucumber fruit yield under shading.

Taxon: cucumberCucumis sativuse0
Treatment: shading treatmentse0
Outcome: cucumber fruit yielde0
Direction: decreasee0
Value: decreasee0

Not reportedComparator

Verbatim

e0
“The model also accurately predicted the decrease in cucumber fruit yield under low-sunlight conditions (shading treatments) and the increase in yield due to supplemental lighting.”
✓ located verbatim in the source · abstract, characters 1249–1428

Title

Estimation of Cucumber Fruit Yield Cultivated Under Different Light Conditions in Greenhouses

Inseo Hong; Jin Yu; Seung Jae Hwang; et al. Horticulturae 2024. doi:10.3390/horticulturae10101117

Other claims from this paper (3)

Method / resource The improved model predicted cucumber yield under control and shading conditions with R2 greater than 0.98.
Method / resource With supplemental lighting, the model predicted cucumber yield with R2 greater than 0.99.
Method / resource The model accurately predicted increased cucumber fruit yield with supplemental lighting.

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 resultnegativemeasured

Claim · model-written summary

Selecting for minimal yield decrease under stress failed to identify the best genotypes in this context.

Taxon: barleyHordeum vulgaree1
Outcome: identify the best genotypese0
Direction: failede0
Comparator: favorable conditionse0

Verbatim

e0
“a selection based on minimum yield decrease under stress with respect to favorable conditions failed to identify the best genotypes.”
✓ located verbatim in the source · abstract, characters 1535–1667

e1
“barley ( Hordeum vulgare L.)”
✓ located verbatim in the source · abstract, characters 131–159

Title

Use of a Water Stress Index to Identify Barley Genotypes Adapted to Rainfed and Irrigated Conditions

F. Rizza; F. W. Badeck; L. Cattivelli; et al. Crop Science 2004. doi:10.2135/cropsci2004.2127

Other claims from this paper (4)

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 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 resultnegativemeasured

Claim · model-written summary

Estimates from images before harvest showed only a slight decrease in performance compared with the statistic obtained just before harvest.

Taxon: WheatTriticum aestivumt0
Outcome: performancee1
Direction: slight decreasee1
Comparator: the statistic obtained just before the harveste1

Verbatim

t0
“Wheat Yield Estimates”
✓ located verbatim in the source · title, characters 67–88

e1
“only a slight decrease in performance is observed compared to the statistic obtained just before the harvest”
✓ located verbatim in the source · abstract, characters 1342–1450

Title

Combined Use of Multi-Temporal Landsat-8 and Sentinel-2 Images for Wheat Yield Estimates at the Intra-Plot Spatial Scale

Remy Fieuzal; Vincent Bustillo; David Collado; et al. Agronomy 2020. doi:10.3390/agronomy10030327

Other claims from this paper (7)

Observation The best performances were obtained when NDVI was combined with the yield maps collected during the crop rotation.
Method / resource In 2014 the coefficient of determination (R2) of the yield estimate was 0.44, the lowest season.
Method / resource In 2014 the root mean square error (RMSE) of the yield estimate was 8.13 quintals per hectare.
Method / resource In the three other years the R2 of the yield estimate was close to or above 0.60.
Method / resource In the three other years the RMSE of the yield estimate was lower than 7 q.h−1.
Method / resource The relative error of the yield estimate in the three other years was inferior to 11.3%.
Method / resource Early and accurate yield estimates were obtained three months before the end of the crop cycle.

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 resultnegativesimulated

Claim · model-written summary

The model simulated lower cereal yield due to nitrogen competition.

Taxon: cereale0
Outcome: cereal yielde0
Direction: decreasee0
Qualifier: competition for nitrogene0

Not reportedComparator

Verbatim

e0
“a decrease in cereal yield due to competition for nitrogen”
✓ located verbatim in the source · abstract, characters 2413–2471

Title

Ability of the STICS soil-crop model for simulating performances and inter-specific interactions in tropical cereal-legume intercropping

de Freitas, Mathilde; Couedel, Antoine; Falconnier, Gatien N.; et al. HAL (Le Centre pour la Communication Scientifique Directe) 2024

Other claims from this paper (9)

Method / resource STICS simulated cereal grain yield with similar accuracy for sole crops and intercrops.
Method / resource STICS accuracy for legumes was lower under intercropping than sole cropping.
Method / resource STICS correctly reproduced cereal legume competition and complementarity in Mali and Burkina Faso.
Method / resource STICS came close to reproducing cereal legume competition and complementarity in Brazil.
Method / resource In Senegal STICS overestimated legume partial land equivalent ratio.
Method / resource In Senegal STICS underestimated cereal partial land equivalent ratio.
Method / resource The model simulated lower legume yield due to light competition.
Method / resource Water stress had little simulated effect on yield and crop interactions.
Method / resource The authors judge STICS accuracy acceptable for tropical intercropping where legume yields are not too low.

“yield decrease”

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