Search claims · PlantClaims

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Model fits were best for maize, then wheat and potato.

Taxon: maizeZea mayse0
Outcome: model fitse0
Direction: beste0
Comparator: wheat and potatoe0

Verbatim

e0
“with the best model fits obtained for maize, followed by wheat and potato”
✓ located verbatim in the source · abstract, characters 769–842

Title

Crop Phenology Modelling Using Proximal and Satellite Sensor Data

Anne Gobin; Abdoul-Hamid Mohamed Sallah; Yannick Curnel; et al. Remote Sensing 2023. doi:10.3390/rs15082090

Other claims from this paper (6)

Observation Spectral signals were crop specific and sensor independent.
Method / resource fAPAR models fitted better than fCover models.
Observation S2 fAPAR variability decreased through the growing season.
Method / resource Double sigmoid inflection points corresponded to stem elongation and senescence.
Method / resource The upward endpoint corresponded to canopy closure, and maxima to flowering and fruit development.
Recommendation More frequent revisits were beneficial for detecting short crop stages.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The circular model fits the landmarks of castor bean leaf shape.

Taxon: castor beanRicinus communist0
Outcome: fits the landmarkse1
Comparator: landmarkse1

Verbatim

t0
“Leaf shape simulation of castor bean”
✓ located verbatim in the source · title, characters 0–36

e1
“Based on validation results, the circular model fits the landmarks and nonrectangular hyperbolic model fits the lobe margins very well.”
✓ located verbatim in the source · abstract, characters 591–726

Title

Leaf shape simulation of castor bean and its application in nondestructive leaf area estimation

Hailin Wei; Xumeng Li; Ming Li; et al. International journal of agricultural and biological engineering 2019. doi:10.25165/j.ijabe.20191204.4040

Other claims from this paper (2)

Method / resource The nonrectangular hyperbolic model fits the lobe margins of castor bean leaves very well.
Observation Leaf area of castor bean was accurately estimated by the established formula.

Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

Different mathematical fits may quantify growth rate, duration and gating.

Taxon: plantsViridiplantaet0
Outcome: growth rate, growth duration and gatinge0
Value: different mathematical fitse0

Not reportedComparator

Verbatim

e0
“different mathematical fits may help quantify growth rate, growth duration and gating.”
✓ located verbatim in the source · abstract, characters 1241–1327

t0
“plants”
✓ located verbatim in the source · abstract, characters 45–51

Title

A Proposed Methodology to Analyze Plant Growth and Movement from Phenomics Data

María Victoria Díaz-Galián; Fernando Perez-Sanz; Jose David Sanchez-Pagán; et al. Remote Sensing 2019. doi:10.3390/rs11232839

Other claims from this paper (9)

Method / resource A generalized additive model identified complex growth patterns including gated growth.
Method / resource Abrupt position changes prevented fitting movement and sometimes growth to curves.
Method / resource Area under the curve identified the initial growth stage and organ growth rate.
Observation Organs showed continuous daily movements with gated maxima or abrupt day night position changes.
Association Petunia organ movement depended on light.
Association Fragaria organ movement did not depend on light.
Observation Petunia had movement in growing and fully grown organs.
Observation Antirrhinum majus had leaf and flower movement linked to growth.
Observation Fragaria ananassa had leaf and flower movement linked to growth.

Mechanismhypothesisoriginal resultbasis n/a

Claim · model-written summary

Autumn initiation probably fits these far northern grasses better to their environment.

Taxon: GramineaePoaceaet0
Outcome: Autumn initiatione5
Qualifier: probably better fits them to their environmente5

Verbatim

t0
“Alaskan Gramineae”
✓ located verbatim in the source · title, characters 21–38

e5
“Autumn initiation is a phenomenon of these far northern grasses that probably better fits them to their environment”
✓ located verbatim in the source · abstract, characters 411–526

Title

Floral Initiation in Alaskan Gramineae

H. J. Hodgson Botanical Gazette 1966. doi:10.1086/336343

Other claims from this paper (5)

Observationobservedoriginal resultmeasured

Claim · model-written summary

A chromosome 25 QTL fits the description of the t2 locus.

Taxon: cottonGossypium hirsutumt0
Gene: t2 locuse0
Outcome: fits the description of the t2 locuse0

Verbatim

e0
“A second QTL on chromosome 25, which is homoeologous to chromosome 6, fits the description of the t2 locus.”
✓ located verbatim in the source · abstract, characters 605–712

t0
“cotton”
✓ located verbatim in the source · title, characters 51–57

Title

Molecular mapping of genes affecting pubescence of cotton

R. J. Wright Journal of Heredity 1999. doi:10.1093/jhered/90.1.215

Other claims from this paper (9)

Observation Four QTLs affecting cotton leaf pubescence were mapped.
Association A chromosome 6 QTL imparts dense leaf pubescence and is inferred to be the t1 locus.
Association QLP1 explained significant variation in cotton leaf pubescence.
Association QLP2 explained significant variation in cotton leaf pubescence.
Association QLP1 reduced hairiness only in young cotton leaves.
Association QLP2 increased hairiness in mature cotton leaves.
Association The stem trichome locus did not correspond to loci affecting cotton leaf trichomes.
Method / resource A qualitative trichome density scoring system detected only the chromosome 6 locus.
Method / resource The DTL scoring system was apparently insufficiently sensitive to detect alleles such as t2 with smaller effects.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Segment ordering gave better fits for simple scaling with size.

Taxon: plant root systemt0
Outcome: better fits for simple scaling relationships with sizee0

Not reportedComparator

Verbatim

e0
“Segment‐based ordering systems resulted in better fits for simple scaling relationships with size”
✓ located verbatim in the source · abstract, characters 787–884

t0
“plant root system”
✓ located verbatim in the source · title, characters 24–41

Title

Topological scaling and plant root system architecture: developmental and functional hierarchies

GLENN M. BERNTSON New Phytologist 1997. doi:10.1046/j.1469-8137.1997.00687.x

Other claims from this paper (4)

Method / resource Common topology indices correlate poorly with one another.
Observation Scaling patterns varied by developmental versus functional order and size metric.
Method / resource Functional link ordering showed nonlinear scaling with link counts.
Method / resource The simulated functional link-based metric may characterize root architecture more powerfully than single indices.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The nonrectangular hyperbolic model fits the lobe margins of castor bean leaves very well.

Taxon: castor beanRicinus communist0
Outcome: fits the lobe marginse1
Qualifier: very welle1
Comparator: lobe marginse1

Verbatim

t0
“Leaf shape simulation of castor bean”
✓ located verbatim in the source · title, characters 0–36

e1
“Based on validation results, the circular model fits the landmarks and nonrectangular hyperbolic model fits the lobe margins very well.”
✓ located verbatim in the source · abstract, characters 591–726

Title

Leaf shape simulation of castor bean and its application in nondestructive leaf area estimation

Hailin Wei; Xumeng Li; Ming Li; et al. International journal of agricultural and biological engineering 2019. doi:10.25165/j.ijabe.20191204.4040

Other claims from this paper (2)

Method / resource The circular model fits the landmarks of castor bean leaf shape.
Observation Leaf area of castor bean was accurately estimated by the established formula.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Flower size fits a classical quantitative genetics inheritance model.

Taxon: Silene latifoliaSilene latifoliat0
Outcome: Flower sizee0
Qualifier: fits the classical quantitative genetics model of inheritance very nicelye0

Verbatim

e0
“Flower size is a character that fits the classical quantitative genetics model of inheritance very nicely.”
✓ located verbatim in the source · abstract, characters 783–889

t0
“Silene latifolia”
✓ located verbatim in the source · title, characters 86–102

Title

Genome Size, Quantitative Genetics and the Genomic Basis for Flower Size Evolution in Silene latifolia

T. R. MEAGHER Annals of Botany 2004. doi:10.1093/aob/mci018

Other claims from this paper (4)

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Generic wheat fits show cultivar differences below +/- 5%.

Taxon: wheatTriticum aestivume0
Outcome: cultivar differencese0
Value: less than +/- 5%e0

Not reportedDirection

Verbatim

e0
“Generic fits for wheat and barley show cultivar differences less than +/- 5% for wheat and less than +/- 10% for barley.”
✓ located verbatim in the source · abstract, characters 810–930

Title

Modeling Light and Temperature Effects on Leaf Emergence in Wheat and Barley

Tyler Volk; Bruce Bugbee Crop Science 1991. doi:10.2135/cropsci1991.0011183x003100050028x

Other claims from this paper (5)

Method / resource The simplified leaf emergence model reduced the number of constants by more than 70%.
Method / resource The model incorporates photosynthetic photon flux effects.
Method / resource Generic barley fits show cultivar differences below +/- 10%.
Association Barley is more sensitive to daylength changes than wheat at common daylength values.
Method / resource A single nondimensional factor for each cultivar can incorporate cultivar differences in leaf emergence rate.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Generic barley fits show cultivar differences below +/- 10%.

Taxon: barleyHordeum vulgaree0
Outcome: cultivar differencese0
Value: less than +/- 10%e0

Not reportedDirection

Verbatim

e0
“Generic fits for wheat and barley show cultivar differences less than +/- 5% for wheat and less than +/- 10% for barley.”
✓ located verbatim in the source · abstract, characters 810–930

Title

Modeling Light and Temperature Effects on Leaf Emergence in Wheat and Barley

Tyler Volk; Bruce Bugbee Crop Science 1991. doi:10.2135/cropsci1991.0011183x003100050028x

Other claims from this paper (5)

Method / resource The simplified leaf emergence model reduced the number of constants by more than 70%.
Method / resource The model incorporates photosynthetic photon flux effects.
Method / resource Generic wheat fits show cultivar differences below +/- 5%.
Association Barley is more sensitive to daylength changes than wheat at common daylength values.
Method / resource A single nondimensional factor for each cultivar can incorporate cultivar differences in leaf emergence rate.

“fits”

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