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Organism groups follow NCBI Taxonomy: the spellings of one organism are merged, a claim naming several organisms sits in each group, and claims whose value names no organism are under “not stated”.

not stated 47

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 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 / 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)

Triticum aestivum 24

Show all 24 →
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 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.

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)
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)

Zea mays 17

Show all 17 →
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 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)

Glycine max 8

Show all 8 →
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

At the warmest Brazilian location, simulated yield losses reached 38% under 3 °C warming.

Taxon
soybeanGlycine maxt0
Treatment
+ 3 °C temperature risee0
Outcome
yielde0
Direction
decreasee0
Value
38%e0
Setting
Brazile0

Verbatim

e0

“In our warmest location in Brazil, the models simulated a yield reduction ranging from a 38% decrease under + 3 °C temperature rise to no effect on yield”

✓ located verbatim in the source · abstract, characters 1109–1262
t0

“soybean”

✓ located verbatim in the source · title, characters 4–11

Title

Are soybean models ready for climate change food impact assessments?

Kritika Kothari; Rafael Battisti; Kenneth J. Boote; et al. European Journal of Agronomy 2022. doi:10.1016/j.eja.2022.126482

Other claims from this paper (10)
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

The reparameterized t-Student distribution decreased the influence of discrepant values in soybean yield data.

Taxon
SOYBEANGlycine maxt0
Outcome
influence of these pointse0
Direction
decreasee0
Qualifier
data with discrepant valuese0

Not reportedComparatorValue

Verbatim

e0

“The reparameterized t-Student distribution is an alternative in studying data with discrepant values, showing the ability to decrease the influence of these points.”

✓ located verbatim in the source · abstract, characters 791–955
t0

“SOYBEAN”

✓ located verbatim in the source · title, characters 23–30

Title

SPATIAL VARIABILITY OF SOYBEAN YIELD THROUGH A REPARAMETERIZED T-STUDENT MODEL

Rosangela C. Schemmer; Miguel A. Uribe-Opazo; Manuel Galea; et al. Engenharia Agrícola 2017. doi:10.1590/1809-4430-eng.agric.v37n4p760-770/2017

Other claims from this paper (1)
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

Modeled UAN concentrations of 1, 3 and 12% corresponded to 5, 10 and 20% soybean yield reductions.

Taxon
soybeanGlycine maxe0
Outcome
soybean yielde0
Direction
decreasee0
Value
1, 3, and 12%e0

Verbatim

e0

“The predicted percent UAN concentration that caused a 5, 10, and 20% decrease in soybean yield was 1, 3, and 12%, respectively”

✓ located verbatim in the source · abstract, characters 1323–1449

Title

The Impact of the Addition of Urea Ammonium Nitrate to 2,4-D on the Control of Multiple-Herbicide-Resistant Canada Fleabane

Nader Soltani; Christy Shropshire; Peter H. Sikkema Journal of Agricultural Science 2023. doi:10.5539/jas.v15n6p68

Other claims from this paper (6)

Oryza sativa 8

Show all 8 →
Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Field testing found a significant decrease in bird numbers in targeted areas.

Interactor
birdsAvese0pest
Outcome
number of birds in the targeted arease0
Direction
decreasinge0
Value
significante0

Verbatim

e0

“the result of the prototype field-testing showed a significant effect in decreasing the number of birds in the targeted areas”

✓ located verbatim in the source · abstract, characters 1282–1407
e1

“Filipino rice farmers, resulting in losses in annual harvest yield. Farmers suffer the challenge of crop damage by birds”

✓ located verbatim in the source · abstract, characters 45–165

Title

Bird-Repelling Device for Agricultural Application using Motion Detection

Maribelle Dequilla-Pabiania; Chris Julian C. Alcedo; Henry G. Morales; et al. 2024 16th International Conference on Computer and Automation Engineering (ICCAE) 2024. doi:10.1109/iccae59995.2024.10569619

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

Claim · model-written summary

Calculated dry matter yield agreed acceptably with experiments when stand closure and growth decline dates were known.

Outcome
total DM yieldse0
Qualifier
provided that the dates when a closed stand was obtained and when the growth rate started to decrease were knowne0
Comparator
experimental resultse0

Verbatim

e0

“Calculated total DM yields, grain yields and grain:straw ratios were in acceptable agreement with the experimental results, provided that the dates when a closed stand was obtained and when the growth rate started to decrease were known”

✓ located verbatim in the source · abstract, characters 351–587
t0

“rice”

✓ located verbatim in the source · title, characters 27–31

Title

A calculation of potential rice yields.

A. van Ittersum Netherlands Journal of Agricultural Science 1972. doi:10.18174/njas.v20i1.17294

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

Claim · model-written summary

P700 oxidation did not directly detect drought responsible for lower grain yield.

Outcome
detected by P700 oxidatione0
Direction
could not be directly detectede0

Not reportedComparatorValue

Verbatim

e0

“drought stress responsible for a decrease in grain yields could not be directly detected by P700 oxidation in paddy-field-grown rice plants”

✓ located verbatim in the source · abstract, characters 989–1128

Title

Effects of drought stress on the oxidation of the reaction center chlorophyll of photosystem I and grain yield in paddy-field grown rice plants

Yuki Takahashi; Ko Noguchi; Kentaro Ifuku; et al. Soil Science & Plant Nutrition 2023. doi:10.1080/00380768.2023.2214579

Other claims from this paper (7)
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

Adding APSIM variables reduced corn yield prediction RMSE by 7 to 20%.

Treatment
adding simulation crop model variables (APSIM) as input features to ML modelse0
Outcome
yield prediction root mean squared error (RMSE)e0
Direction
decreasee0
Value
7 to 20%e0

Verbatim

e0

“adding simulation crop model variables (APSIM) as input features to ML models can decrease yield prediction root mean squared error (RMSE) from 7 to 20%”

✓ located verbatim in the source · abstract, characters 647–799
t0

“Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt”

✓ located verbatim in the source · title, characters 0–94

Title

Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt

Mohsen Shahhosseini; Guiping Hu; Isaiah Huber; et al. Scientific Reports 2021. doi:10.1038/s41598-020-80820-1

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

Claim · model-written summary

At harvest, inflorescence and bunch detection error fell slightly to 46%.

Taxon
GrapevineVitist0
Organ / stage
Inflorescences and bunchese1
Outcome
MA%Ee0
Direction
slight decreasee0
Value
46%e0

Verbatim

e0

“with a slight decrease at harvest (MA%E=46%)”

✓ located verbatim in the source · abstract, characters 1502–1546
e1

“Inflorescences and bunches showed the highest MA%E”

✓ located verbatim in the source · abstract, characters 1396–1446
t0

“Grapevine”

✓ located verbatim in the source · title, characters 0–9

Title

Grapevine yield components detection using image analysis: a case study with the white cultivar ‘Encruzado’

G. Victorino; C.M. Lopes Acta Horticulturae 2021. doi:10.17660/actahortic.2021.1314.22

Other claims from this paper (5)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Mortality rate was an earlier indicator of decline than yield loss.

Taxon
grapevineVitist0
Outcome
mortality ratee0
Direction
earliere0
Comparator
yield losse0

Verbatim

e0

“mortality rate and the normalised difference vegetation index (NDVI) indicators were shown to be earlier indicators of grapevine decline than yield loss (yield achievement ratio, YAR)”

✓ located verbatim in the source · abstract, characters 1436–1619
t0

“grapevine”

✓ located verbatim in the source · title, characters 23–32

Title

A systemic approach to grapevine decline diagnosed using three key indicators: plant mortality, yield loss and vigour decrease

Anne MEROT; Guillaume Coulouma; Nathalie Smits; et al. OENO One 2023. doi:10.20870/oeno-one.2023.57.1.5575

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

Claim · model-written summary

NDVI was an earlier indicator of decline than yield loss.

Taxon
grapevineVitist0
Outcome
normalised difference vegetation index (NDVI) indicatorse0
Direction
earliere0
Comparator
yield losse0

Verbatim

e0

“mortality rate and the normalised difference vegetation index (NDVI) indicators were shown to be earlier indicators of grapevine decline than yield loss (yield achievement ratio, YAR)”

✓ located verbatim in the source · abstract, characters 1436–1619
t0

“grapevine”

✓ located verbatim in the source · title, characters 23–32

Title

A systemic approach to grapevine decline diagnosed using three key indicators: plant mortality, yield loss and vigour decrease

Anne MEROT; Guillaume Coulouma; Nathalie Smits; et al. OENO One 2023. doi:10.20870/oeno-one.2023.57.1.5575

Other claims from this paper (9)

Phaseolus vulgaris 4

Show all 4 →
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

OCS predicted mean cooking time reduction of 9.3%.

Taxon
common beansPhaseolus vulgarist0
Outcome
mean CKTe0
Direction
decreasee0
Value
9.3%e0

Verbatim

e0

“Progeny were predicted by OCS to increase in mean GY by 12.4%, decrease in mean CKT by 9.3%, and increase in mean Fe and Zn content by 6.9 and 4.6%, respectively, with low achieved coancestry of 0.032.”

✓ located verbatim in the source · abstract, characters 1230–1431
t0

“common beans”

✓ located verbatim in the source · title, characters 142–154

Title

Multivariate genomic analysis and optimal contributions selection predicts high genetic gains in cooking time, iron, zinc, and grain yield in common beans in East Africa

Renu Saradadevi; Clare Mukankusi; Li Li; et al. The Plant Genome 2021. doi:10.1002/tpg2.20156

Other claims from this paper (13)
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

OCS predicted mean grain yield gain of 12.4%.

Taxon
common beansPhaseolus vulgarist0
Outcome
mean GYe0
Direction
increasee0
Value
12.4%e0

Verbatim

e0

“Progeny were predicted by OCS to increase in mean GY by 12.4%, decrease in mean CKT by 9.3%, and increase in mean Fe and Zn content by 6.9 and 4.6%, respectively, with low achieved coancestry of 0.032.”

✓ located verbatim in the source · abstract, characters 1230–1431
t0

“common beans”

✓ located verbatim in the source · title, characters 142–154

Title

Multivariate genomic analysis and optimal contributions selection predicts high genetic gains in cooking time, iron, zinc, and grain yield in common beans in East Africa

Renu Saradadevi; Clare Mukankusi; Li Li; et al. The Plant Genome 2021. doi:10.1002/tpg2.20156

Other claims from this paper (13)
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

OCS predicted mean iron content gain of 6.9%.

Taxon
common beansPhaseolus vulgarist0
Outcome
mean Fe and Zn contente0
Direction
increasee0
Value
6.9e0

Verbatim

e0

“Progeny were predicted by OCS to increase in mean GY by 12.4%, decrease in mean CKT by 9.3%, and increase in mean Fe and Zn content by 6.9 and 4.6%, respectively, with low achieved coancestry of 0.032.”

✓ located verbatim in the source · abstract, characters 1230–1431
t0

“common beans”

✓ located verbatim in the source · title, characters 142–154

Title

Multivariate genomic analysis and optimal contributions selection predicts high genetic gains in cooking time, iron, zinc, and grain yield in common beans in East Africa

Renu Saradadevi; Clare Mukankusi; Li Li; et al. The Plant Genome 2021. doi:10.1002/tpg2.20156

Other claims from this paper (13)

Gossypium hirsutum 3

Show all 3 →
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.

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)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Regression analyses described the ozone and yield relationship.

Outcome
models describing this relationshipe0

Not reportedComparator

Verbatim

e0

“regression analyses provided models describing this relationship”

✓ located verbatim in the source · abstract, characters 1007–1071
e1

“Stoneville 213 was sensitive to O 3 ‐induced yield decrease”

✓ located verbatim in the source · abstract, characters 943–1002
e2

“cotton ( Gossypium hirsutum L.)”

✓ located verbatim in the source · abstract, characters 368–399

Title

Injury and Yield Response of Cotton to Chronic Doses of Ozone and Sulfur Dioxide

Allen S. Heagle; W. W. Heck; V. M. Lesser; et al. Journal of Environmental Quality 1986. doi:10.2134/jeq1986.00472425001500040011x

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

Claim · model-written summary

The asymmetric elastic support decreased impurities by 8.8 %.

Outcome
impuritiese2
Direction
decreaseinferrede2
Value
8.8 %e2

Verbatim

t0

“cotton gin saw cylinders”

✓ located verbatim in the source · title, characters 91–115
e2

“Mechanical seed damage decreased by 16 %, impurities by 8.8 %, and fiber yield increased by 1.2 %”

✓ located verbatim in the source · abstract, characters 695–792

Title

Design and industrial validation of an asymmetric elastic bearing for vibration control in cotton gin saw cylinders

Shakhnoza Makhmudova; Murodullo Rakhimov; Sharifa Haydarova; et al. Vibroengineering PROCEDIA 2026. doi:10.21595/vp.2026.26379

Other claims from this paper (4)

Cucumis sativus 3

Show all 3 →
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 / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The model accurately predicted increased cucumber fruit yield with supplemental lighting.

Taxon
cucumberCucumis sativuse0
Treatment
supplemental lightinge0
Outcome
yielde0
Direction
increasee0
Value
increasee0

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 / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Micropropagation efficiently produced in vitro Cucumber rootstocks.

Taxon
CucumberCucumis sativust0
Outcome
produce in vitro rootstockse0
Direction
efficientlye0

Not reportedComparatorValue

Verbatim

e0

“The results showed that the micropropagation technique can be used efficiently to produce in vitro rootstocks, especially for tomato rootstocks, in order to decrease the high cost of the interspecific rootstocks for commercial production of grafted vegetables.”

✓ located verbatim in the source · abstract, characters 776–1036
t0

“Cucumber”

✓ located verbatim in the source · title, characters 31–39

Title

Growth and Yield of Tomato and Cucumber Plants Grafted Onto in vitro and Seedling Rootstocks

Eltohamy A. A. Youssef; Mahmoud A. Hassan; Reem N. M. El-Saman; et al. Egyptian Journal of Horticulture 2024. doi:10.21608/ejoh.2024.248505.1264

Other claims from this paper (2)

Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.