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Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

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

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)
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

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 / 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)
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 / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

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

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 / 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 / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

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

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 / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

The optical sensor algorithm can decrease environmental contamination due to excess nitrogen fertilization.

Taxon
Cropt0
Outcome
environmental contaminatione0
Direction
decreasee0
Value
0.4 m2e0

Verbatim

t0

“Crop”

✓ located verbatim in the source · title, characters 35–39
e0

“Using our optical sensor‐based algorithm that employs yield prediction and N responsiveness by location (0.4 m2 resolution) can increase yields and decrease environmental contamination due to excessive N fertilization”

✓ located verbatim in the source · abstract, characters 1791–2008

Title

Optical Sensor‐Based Algorithm for Crop Nitrogen Fertilization

W. R. Raun; J. B. Solie; M. L. Stone; et al. Communications in Soil Science and Plant Analysis 2005. doi:10.1080/00103620500303988

Other claims from this paper (3)
Method / resourceobservedoriginal resultnegativeprojected

Claim · model-written summary

EPIC projected a corn yield decrease under the coarse scenario.

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 / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

The SDI models indicated a linear decline in relative yield with increasing wetness.

Outcome
relative yielde0
Direction
linear decreasee0
Comparator
increasing wetness (SDI values)e0

Verbatim

e0

“The SDI models indicated a linear decrease in the relative yield with increasing wetness (SDI values)”

✓ located verbatim in the source · abstract, characters 823–924
t0

“CORN”

✓ located verbatim in the source · title, characters 0–4

Title

CORN GROWTH AS AFFECTED BY EXCESS SOIL WATER

S. Mukhtar; J. L. Baker; R. S. Kanwar Transactions of the ASAE 1990. doi:10.13031/2013.31348

Other claims from this paper (9)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Y/M selection substantially decreased grain moisture.

Taxon
maizeZea mayst0
Outcome
grain moisturee0
Direction
decreasee0
Comparator
Y/Me1

Not reportedValue

Verbatim

e0

“had a large decrease in grain moisture”

✓ located verbatim in the source · abstract, characters 1416–1454
e1

“The Y/M selection differential for yield was only 64% of that of yield”

✓ located verbatim in the source · abstract, characters 1340–1410
t0

“Selection Criteria for Grain Yield and Moisture in Maize Yield Trials”

✓ located verbatim in the source · title, characters 0–69

Title

Selection Criteria for Grain Yield and Moisture in Maize Yield Trials

J. T. Eta‐Ndu; S. J. Openshaw Crop Science 1992. doi:10.2135/cropsci1992.0011183x003200020010x

Other claims from this paper (12)
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 / 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 resultpositivemeasured

Claim · model-written summary

The variability response index quantitatively expressed yield decline from soil potassium variability.

Outcome
Decrease in yield due to spatial variability of soil Ke0
Direction
Decreasee0
Comparator
relatively uniform distribution of soil Ke0

Not reportedTaxon

Verbatim

e0

“Decrease in yield due to spatial variability of soil K was quantitatively expressed by the variability response index (VRI), i.e., the product of the variance of soil K and the second derivative of yield with respect to exchangeable K obtained under a relatively uniform distribution of soil K”

✓ located verbatim in the source · abstract, characters 509–802

Title

CORN RESPONSE TO SPATIAL VARIABILITY OF RESIDUAL POTASSIUM

J. P. NDIAYE; R. S. YOST Soil Science 1989. doi:10.1097/00010694-198907000-00001

Other claims from this paper (4)
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)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

A seedling infection index permitted estimates of subsequent yield decrease.

Outcome
estimatese0
Value
1.4 × (SH+LA+LL)+18e0

Verbatim

e0

“Symptoms of seedling infection incorporated into an index of infection permit estimates to be made o eventual decreases in yield by applying the formula DY = 1.4 × (SH+LA+LL)+18.”

✓ located verbatim in the source · abstract, characters 681–859
t0

“varieties of wheat, oats and barley”

✓ located verbatim in the source · abstract, characters 43–78

Title

Some effects of barley yellow dwarf virus on spring and winter cereals in glasshouse trials

J. K. DOODSON; P. J. W. SAUNDERS Annals of Applied Biology 1970. doi:10.1111/j.1744-7348.1970.tb04593.x

Other claims from this paper (6)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Cultivar yield changes under competition were generally similar in blends and paired rows.

Outcome
percentage yield increase or decreasee0
Direction
similare0
Comparator
blend and the paired‐rowse0

Verbatim

e0

“The percentage yield increase or decrease of each cultivar in competition generally was similar in the blend and the paired‐rows”

✓ located verbatim in the source · abstract, characters 1113–1241

Title

Evaluation of Intergenotypic Competition with a Paired‐Row Technique1

W. R. Fehr Crop Science 1973. doi:10.2135/cropsci1973.0011183x001300050024x

Other claims from this paper (2)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The point when the percentage increase peaked and then slowed marked when fruit-bearing percentage was destined.

Outcome
period in which fruit bearing percentage is destinede0

Not reportedComparatorValue

Verbatim

e0

“the period when the rate of increase in the percentage above mentioned reaches a maximum and thereafter the rate begins to decrease remarkably has been proved to be the period in which fruit bearing percentage is destined”

✓ located verbatim in the source · abstract, characters 2340–2561
t0

“Lowland Rice (Preliminary report)”

✓ located verbatim in the source · title, characters 45–78

Title

Crop-Scientific Studies on Yield-Forecast of Lowland Rice (Preliminary report) : XI. On Forecast of Fruit Bearing Percentage in Rice (1)

Seizo MATSUSHIMA; Takio MANAKA; Nobuyuki KOMATSU Japanese Journal of Crop Science 1954. doi:10.1626/jcs.23.41b

Other claims from this paper (9)

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