Cucumis sativus 77,982 claims

species · family Cucurbitaceae · green plant · NCBI Taxonomy ↗

Common name: cucumber — Also written in claims: cucumber · cucumbers · cucumber plants · cucumber seedlings · cucumber plant · cucumber seedling

Listed here with its subspecies, varieties and cultivar groups: Cucumis sativus var. hardwickii (31 claims), Cucumis sativus var. sativus (15 claims), Cucumis sativus var. sikkimensis (2 claims), Cucumis sativus var. xishuangbannanesis (1 claim)

655 spellings

Questions studied on this organism2,027 questions77 with results that differ4,805 papers

Cucumis sativusH. Zell · CC BY-SA 3.0 · Wikimedia Commons ↗

77,982 claims

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Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Hybrid soft voting achieved accuracy similar to the strongest individual transfer learning model on the cucumber disease dataset.

Taxon: CucumberCucumis sativuse0
Outcome: accuracye1
Comparator: individual modele1

Verbatim

e0
“the Cucumber dataset with multiple diseases”
✓ located verbatim in the source · abstract, characters 822–865

e1
“Hybrid soft voting evaluated similar accuracy to an individual model that is strong accuracy transfer learning trained model, but inference time is much less than that of these strong models”
✓ located verbatim in the source · abstract, characters 1007–1197

Title

Hybrid ensemble framework combining hard and soft voting of deep transfer learning models

Manisha Dumbre; Hiren Dand IET conference proceedings. 2026. doi:10.1049/icp.2025.4754

Other claims from this paper (2)

Method / resource Hybrid soft voting had much shorter inference time than the strong individual transfer learning models.
Recommendation The authors conclude that hybrid soft voting is useful for fast prediction of diseases.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Hybrid soft voting had much shorter inference time than the strong individual transfer learning models.

Taxon: CucumberCucumis sativuse0
Outcome: inference timee1
Direction: much lesse1
Comparator: individual modele1

Verbatim

e0
“the Cucumber dataset with multiple diseases”
✓ located verbatim in the source · abstract, characters 822–865

e1
“Hybrid soft voting evaluated similar accuracy to an individual model that is strong accuracy transfer learning trained model, but inference time is much less than that of these strong models”
✓ located verbatim in the source · abstract, characters 1007–1197

Title

Hybrid ensemble framework combining hard and soft voting of deep transfer learning models

Manisha Dumbre; Hiren Dand IET conference proceedings. 2026. doi:10.1049/icp.2025.4754

Other claims from this paper (2)

Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The authors conclude that hybrid soft voting is useful for fast prediction of diseases.

Taxon: CucumberCucumis sativuse0
Outcome: fast prediction of diseasese1

Verbatim

e0
“the Cucumber dataset with multiple diseases”
✓ located verbatim in the source · abstract, characters 822–865

e1
“hybrid soft voting is useful for the fast prediction of diseases”
✓ located verbatim in the source · abstract, characters 1210–1274

Title

Hybrid ensemble framework combining hard and soft voting of deep transfer learning models

Manisha Dumbre; Hiren Dand IET conference proceedings. 2026. doi:10.1049/icp.2025.4754

Other claims from this paper (2)

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

3-MPA suppressed Pythium damping-off and root rot in cucumber.

Taxon: cucumberCucumis sativuse0
Treatment: 3-MPAe0
Interactor: PythiumPythiume0pathogen
Outcome: Pythium damping-off and root rote0
Direction: suppressede0

Not reportedComparator

Verbatim

e0
“3-MPA exhibited antibiotic activity against oomycete and fungal pathogens and suppressed Pythium damping-off and root rot in cucumber”
✓ located verbatim in the source · abstract, characters 420–553

Title

3-Mercaptopropionic acid as a potential biocontrol factor contributes to plant protection efficacy of Pseudomonas protegens CHA0

Arisa Kara; Shigemi Seo; Kasumi Takeuchi Frontiers in Microbiology 2026. doi:10.3389/fmicb.2026.1726349

Other claims from this paper (7)

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

In cucumber bioassays, the best composts supported plant heights of 190-205 cm by Week 8, outperforming lower-nutrient formulations.

Taxon: CucumberCucumis sativuse0
Treatment: the best compostse0
Outcome: plant heightse0
Direction: outperforminge0
Value: 190– 205 cme0
Comparator: lower-nutrient formulationse0

Verbatim

e0
“Cucumber bioassays demonstrated strong fertiliser efficacy, with the best composts supporting plant heights of 190– 205 cm and more than 30 leaves by Week 8, outperforming lower-nutrient formulations”
✓ located verbatim in the source · abstract, characters 718–917

Title

Optimization of organic fertilizer production using the co-composting process of cow manure and chicken manure with the addition of plant organic waste

Eli Hendrik Sanjaya; Yudhi Utomo; Agung Witjoro; et al. Springer Link (Chiba Institute of Technology) 2026. doi:10.1051/e3sconf/202669502002/pdf

Other claims from this paper (1)

Intervention effect In cucumber bioassays, the best composts supported more than 30 leaves by Week 8, outperforming lower-nutrient formulations.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

In cucumber bioassays, the best composts supported more than 30 leaves by Week 8, outperforming lower-nutrient formulations.

Taxon: CucumberCucumis sativuse0
Treatment: the best compostse0
Outcome: leavese0
Direction: outperforminge0
Value: more than 30e0
Comparator: lower-nutrient formulationse0

Verbatim

e0
“Cucumber bioassays demonstrated strong fertiliser efficacy, with the best composts supporting plant heights of 190– 205 cm and more than 30 leaves by Week 8, outperforming lower-nutrient formulations”
✓ located verbatim in the source · abstract, characters 718–917

Title

Optimization of organic fertilizer production using the co-composting process of cow manure and chicken manure with the addition of plant organic waste

Eli Hendrik Sanjaya; Yudhi Utomo; Agung Witjoro; et al. Springer Link (Chiba Institute of Technology) 2026. doi:10.1051/e3sconf/202669502002/pdf

Other claims from this paper (1)

Intervention effect In cucumber bioassays, the best composts supported plant heights of 190-205 cm by Week 8, outperforming lower-nutrient formulations.

Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Under greenhouse conditions, cucumber plants inoculated with the two bacterial strains and their consortium showed significant (p < 0.05) increases of 13.58% to 194.86% in shoot and root parameters relative to the control.

Taxon: cucumberCucumis sativuse0
Treatment: inoculated with the strains and their consortiume0
Interactor: Brevibacillus sp. UPT4e2symbiont
Second interactor: Pantoea sp. SPM1e2symbiont
Outcome: shoot and root parameterse0
Direction: increasese0
Value: 13.58% to 194.86%e0
Comparator: the control treatmente0
Setting: greenhouse conditionse0

Verbatim

e0
“Under greenhouse conditions, cucumber plants inoculated with the strains and their consortium exhibited significant increases (p < 0.05) in shoot and root parameters, ranging from 13.58% to 194.86% when compared to the control treatment”
✓ located verbatim in the source · abstract, characters 528–764

e2
“Brevibacillus sp. UPT4 and Pantoea sp. SPM1”
✓ located verbatim in the source · abstract, characters 260–303

Title

Epiphytic bacteria from Tacinga inamoena (K. Schum.) N.P. Taylor & Stuppy improve plant growth in cucumber seedlings

Ellie José Pereira; Vinícius de Souza; Caliane da Silva Braulio; et al. International Microbiology 2026. doi:10.1007/s10123-026-00778-4

Other claims from this paper (2)

Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Redundancy analysis indicated that most of the variability in the biometric parameters is associated with the reported plant growth-promoting traits.

Taxon: cucumberCucumis sativust1
Treatment: plant growth-promotinge0
Outcome: variability observed in the biometric parameterse0

Not reportedDirection

Verbatim

t1
“cucumber seedlings”
✓ located verbatim in the source · title, characters 98–116

e0
“Redundancy analysis (RDA) indicated that most of the variability observed in the biometric parameters is associated with the plant growth-promoting reported in this study”
✓ located verbatim in the source · abstract, characters 766–936

Title

Epiphytic bacteria from Tacinga inamoena (K. Schum.) N.P. Taylor & Stuppy improve plant growth in cucumber seedlings

Ellie José Pereira; Vinícius de Souza; Caliane da Silva Braulio; et al. International Microbiology 2026. doi:10.1007/s10123-026-00778-4

Other claims from this paper (2)

Intervention effectobservedoriginal resultmeasured

Claim · model-written summary

Low-nitrogen treatment induced distinct physiological and transcriptional responses in cucumber accessions.

Taxon: cucumberCucumis sativust0
Treatment: LN treatmente0
Outcome: distinct physiological and transcriptional responsese0

Not reportedComparatorDirection

Verbatim

e0
“LN treatment induced distinct physiological and transcriptional responses”
✓ located verbatim in the source · abstract, characters 505–578

t0
“cucumber”
✓ located verbatim in the source · title, characters 104–112

Title

Integration of ATAC-seq and RNA-seq unveils transcription factors involved in low-nitrogen tolerance in cucumber

Bowen Li; Linhao Ma; Huaxiang Wu; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1798277

Other claims from this paper (6)

Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

The tolerant cucumber accession C52 activated a robust "resource-recycling" system under low nitrogen.

Taxon: cucumberCucumis sativust0
Material: C52e0
Outcome: robust "resource-recycling" systeme0

Verbatim

e0
“C52 activated a robust "resource-recycling" system”
✓ located verbatim in the source · abstract, characters 580–630

t0
“cucumber”
✓ located verbatim in the source · title, characters 104–112

Title

Integration of ATAC-seq and RNA-seq unveils transcription factors involved in low-nitrogen tolerance in cucumber

Bowen Li; Linhao Ma; Huaxiang Wu; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1798277

Other claims from this paper (6)