Search claims · PlantClaims

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The Richards model accurately fitted the growth dynamics of leaf area.

Taxon: cauliflowerBrassica oleracea var. botrytist0
Outcome: growth dynamics of leaf areae0

Not reportedComparator

Verbatim

t0
“cauliflower”
✓ located verbatim in the source · title, characters 104–115

e0
“the Richards model and Sine model were used to accurately fit the growth dynamics of leaf area and curd area, respectively”
✓ located verbatim in the source · abstract, characters 1081–1203

Title

High-throughput phenotypic analysis of plant and curd growth dynamics during the whole growth period of cauliflower based on instance segmentation

Saichuan Cheng; Sidi Wu; Qingqing Shao; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1836813

Other claims from this paper (8)

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Applying trained FCNNs reconstructed per plant leaf area and growth dynamics.

Taxon: cucumbersCucumis sativuse1
Outcome: reconstruction of per-plant leaf area and their growth-dynamicse0

Not reportedComparatorValue

Verbatim

e0
“Application of trained FCNNs to the sequences of camera images allowed the reconstruction of per-plant leaf area and their growth-dynamics.”
✓ located verbatim in the source · abstract, characters 1026–1165

e1
“industrial greenhouse for cucumbers growing”
✓ located verbatim in the source · abstract, characters 633–676

Title

Assessment of Leaf Area and Biomass through AI-Enabled Deployment

Dmitrii Shadrin; Alexander Menshchikov; Artem Nikitin; et al. Eng—Advances in Engineering 2023. doi:10.3390/eng4030116

Other claims from this paper (3)

Method / resource FCNN leaf area segmentation achieved 82% accuracy.
Association Average leaf area depended on directly measured biomass.
Method / resource Image data predicted biomass growth over 12 days with 10% average relative error.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Modified GUMCAS greatly improved predictions of developmental stages, leaf development, and leaf area growth dynamics.

Taxon: CassavaManihot esculentat0
Outcome: predictions of developmental stages, leaf development, and leaf area growth dynamicse0
Direction: improvede0
Comparator: current DSSAT cassava modele0

Verbatim

e0
“The modified GUMCAS model greatly improved the predictions of developmental stages, leaf development, and leaf area growth dynamics compared with the current DSSAT cassava model”
✓ located verbatim in the source · abstract, characters 1328–1505

t0
“Cassava”
✓ located verbatim in the source · title, characters 11–18

Title

Simulating Cassava Growth and Yield under Potential Conditions in Southern Brazil

Luana Fernandes Gabriel; Nereu Augusto Streck; Debora Regina Roberti; et al. Agronomy Journal 2014. doi:10.2134/agronj2013.0187

Other claims from this paper (2)

Method / resource Original GUMCAS had the poorest performance.
Method / resource Modified GUMCAS slightly improved stem and storage-root yield predictions versus current DSSAT cassava model.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Growth dynamics of leaf area, eustipes and young shoot follow a single S-shaped curve in grape.

Taxon: grapet0
Organ / stage: leaf area,eustipes and young shoote2
Outcome: growth dynamicse2
Qualifier: single S-shape curvee2

Verbatim

t0
“Growth Trait of Nine Grape Varieties in Shihezi Region”
✓ located verbatim in the source · title, characters 0–54

e2
“The growth dynamics of leaf area,eustipes and young shoot of experimental varieties represented single S-shape curve”
✓ located verbatim in the source · abstract, characters 287–403

Title

Growth Trait of Nine Grape Varieties in Shihezi Region

Fan Xin-min Northern Horticulture 2009

Other claims from this paper (8)

Observation Nine grape varieties were divided into three classes (early, mid and late maturing) by the period of flowering and fruit maturation.
Observation Grape shoot growth is slow before May 30.
Observation Grape rapid growth period starts from June 5.
Observation Crimson Seedless is a tall-plant, large-leaf grape variety.
Observation Jingzaojing and Takasum took second place in the LSD multiple comparison of grape plant and leaf traits.
Observation Monukka is a dwarfed-plant, medium-leaf grape variety.
Observation Black grapes are a little-leaf type.
Observation The rest of the grape varieties are lower and medium plants.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The Sine model accurately fitted the growth dynamics of curd area.

Taxon: cauliflowerBrassica oleracea var. botrytist0
Outcome: growth dynamics of leaf area and curd areae0

Not reportedComparator

Verbatim

t0
“cauliflower”
✓ located verbatim in the source · title, characters 104–115

e0
“the Richards model and Sine model were used to accurately fit the growth dynamics of leaf area and curd area, respectively”
✓ located verbatim in the source · abstract, characters 1081–1203

Title

High-throughput phenotypic analysis of plant and curd growth dynamics during the whole growth period of cauliflower based on instance segmentation

Saichuan Cheng; Sidi Wu; Qingqing Shao; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1836813

Other claims from this paper (8)

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The model simulated phytomer demography, leaf area dynamics and root growth accurately under weak competition.

Taxon: forage legumese1
Outcome: phytomer demography, leaf area dynamics, and root growthe0
Comparator: conditions of weak competitione0

Verbatim

e0
“For all the species, the model could accurately simulate phytomer demography, leaf area dynamics, and root growth under conditions of weak competition”
✓ located verbatim in the source · abstract, characters 697–847

e1
“population dynamics of forage legumes”
✓ located verbatim in the source · abstract, characters 287–324

Title

A generic individual-based model can predict yield, nitrogen content, and species abundance in experimental grassland communities

Lucas Faverjon; Abraham Escobar-Gutiérrez; Isabelle Litrico; et al. Journal of Experimental Botany 2018. doi:10.1093/jxb/ery323

Other claims from this paper (6)

Method / resource The model predicted competition-driven changes in plant development, leaf area and nitrogen uptake.
Method / resource The model predicted competition-driven total plant biomass changes.
Observation Species differed in sensitivity to defoliation.
Method / resource The model predicted that creeping species better sustained regular defoliation.
Observation Species balance changed with competition and management and depended strongly on the species pair.
Method / resource The model captured differences in community dynamics.

Observationobservedoriginal resultmeasured

Claim · model-written summary

The leaf area index dynamics over the growth season divided into three stages: rising, relatively stable and dropping.

Taxon: Korean pinePinus koraiensist0
Outcome: The dynamics of the leaf area index in whole growth seasone0
Qualifier: could be divided into three stagese0

Verbatim

t0
“Korean pine”
✓ located verbatim in the source · title, characters 40–51

e0
“The dynamics of the leaf area index in whole growth season could be divided into three stages, i. e., rising, relatively stable, and dropping”
✓ located verbatim in the source · abstract, characters 637–778

Title

[Simulation of crown leaf area index of Korean pine and broadleaved mixed forest in Chang-Bai mountains].

De-Xin Guan; Jia-Bing Wu; An-Zhi Wang; et al. PubMed 2007

Other claims from this paper (3)

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The model satisfactorily simulated leaf area dynamics.

Taxon: sunflowerHelianthus annuust0
Outcome: leaf area dynamicse0
Value: satisfactorilye0

Verbatim

e0
“The model also simulated seasonal crop biomass and leaf area dynamics for irrigated and rainfed crops sown at two densities satisfactorily”
✓ located verbatim in the source · abstract, characters 1042–1180

t0
“sunflower”
✓ located after whitespace/quote normalisation · title, characters 59–68

Title

OILCROP‐SUN: A Development, Growth, and Yield Model of the Sunflower Crop

Francisco J. Villalobos; Anthony J. Hall; Joe T. Ritchie; et al. Agronomy Journal 1996. doi:10.2134/agronj1996.00021962008800030008x

Other claims from this paper (6)

Method / resource The model predicted sowing to emergence duration with RMSE 3.7 d.
Method / resource The model predicted emergence to anthesis with RMSE 2.9 to 4.3 d.
Method / resource The model satisfactorily simulated seasonal crop biomass dynamics.
Method / resource The model predicted aerial biomass with RMSE 1.7 ha −1.
Method / resource The model predicted grain yield with RMSE 0.8 t ha −1.
Recommendation Authors conclude the model can simulate biomass and grain yield across broad conditions.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Seasonal progression strongly controlled leaf morphology, specific leaf area and flowering dynamics of Cistus albidus.

Taxon: Cistus albidusCistus albidust0
Outcome: leaf morphology, specific leaf area, flowering dynamicse0
Qualifier: strong controle0

Verbatim

t0
“Cistus albidus L.”
✓ located verbatim in the source · title, characters 37–54

e0
“exerting strong control over leaf morphology, specific leaf area, flowering dynamics”
✓ located verbatim in the source · abstract, characters 904–988

Title

Phytochemical and Growth Patterns in Cistus albidus L.: Seasonal Impacts of Inoculation and Fertilization

Daniel Raus de Baviera; María Losada-Echeberría; Francisco-Javier Álvarez-Martínez; et al. Journal of Plant Growth Regulation 2026. doi:10.1007/s00344-026-12083-5

Other claims from this paper (11)

Observation Seasonal progression was the dominant regulator of growth and metabolic traits of Cistus albidus.
Intervention effect Fertilization stabilised vegetative growth of Cistus albidus compared with control.
Intervention effect Fertilization reduced inter-individual variability of Cistus albidus.
Intervention effect AMF inoculation constrained growth of Cistus albidus compared with control.
Intervention effect AMF inoculation reduced reproductive output of Cistus albidus compared with control.
Intervention effect AMF inoculation increased phenotypic and metabolic variability of Cistus albidus compared with control.
Intervention effect Inoculated Cistus albidus plants had elevated antioxidant capacity, particularly during autumn.
Intervention effect Inoculated Cistus albidus plants had increased concentrations of selected phenolic compounds, particularly during autumn.
Observation Flavan-3-ols and flavonols showed high seasonal plasticity and context-dependent responsiveness to inoculation in Cistus albidus.
Observation Phenolic acids, ellagitannins and the secoiridoid glycoside were structured predominantly by harvest time and developmental stage.
Observation Total phenolic content and antioxidant capacity of Cistus albidus were only weakly coupled.

Associationobservedoriginal resultmeasured

Claim · model-written summary

Carbon production per global radiation unit depended on leaf area dynamics.

Taxon: grapevineVitist0
Organ / stage: leaf area dynamicse0
Outcome: C production per unit of global radiatione0

Not reportedDirection

Verbatim

e0
“The C production per unit of global radiation depended on the leaf area dynamics”
✓ located verbatim in the source · abstract, characters 682–762

t0
“grapevine”
✓ located verbatim in the source · title, characters 46–55

Title

Quantification of the pluriannual dynamics of grapevine growth responses to nitrogen supply using a Bayesian approach

Sylvain Vrignon-Brenas; Bénédicte Fontez; Anne Bisson; et al. Journal of Experimental Botany 2021. doi:10.1093/jxb/erab469

Other claims from this paper (5)

Association Leaf chlorophyll content positively related to leaf growth rate and duration.
Association Initial carbohydrate measurements negatively related to leaf growth rate and duration.
Association Dry matter allocation mainly depended on phenological stage.
Method / resource The Bayesian statistical approach addressed uncertainty from destructive measurements.
Method / resource A conceptual framework of grapevine growth across nitrogen supplies was built.

“growth dynamics of leaf area”

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