Search claims · PlantClaims

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Model E-0 was the optimal genetic model for tobacco powdery mildew resistance.

Taxon: TobaccoNicotiana tabacumt0
Outcome: optimal modele0
Comparator: model E-0e0

Not reportedValue

Verbatim

e0
“model E-0 was the optimal model”
✓ located verbatim in the source · abstract, characters 518–549

t0
“Tobacco”
✓ located verbatim in the source · title, characters 68–75

Title

Research into Genetic Problems of Powdery Mildew Resistance Gene in Tobacco

Yan Chen; Jiazhong Liu; Hongmei Li; et al. Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016) 2016. doi:10.2991/icmmbe-16.2016.6

Other claims from this paper (7)

Observation Tobacco powdery mildew resistance was controlled by recessive genes.
Observation Resistance to tobacco powdery mildew was attributed to two gene pairs comprising an additive dominant epistatic major gene and a polygene.
Observation B1 generation major gene heritability was 88.6%.
Observation B1 generation polygene heritability was 0.0%.
Observation F2 generation major gene heritability was 84.5%.
Observation F2 generation polygene heritability was 0.0%.
Recommendation The authors recommend selecting disease resistant material while considering gene interactions and environment.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

AMMI0 was the optimal model.

Taxon: maizeZea mayst0
Outcome: optimal modele0
Value: AMMI0e0

Verbatim

e0
“AMMI0 model was the optimal model”
✓ located verbatim in the source · abstract, characters 1682–1715

t0
“maize”
✓ located verbatim in the source · title, characters 80–85

Title

Evaluation of performance and stability in response to multiple environments in maize

Ningning Zhang; Xiaojun Zhang; Fan Ye; et al. Crop Science 2026. doi:10.1002/csc2.70221

Other claims from this paper (9)

Association Anthesis-silking interval and days to anthesis and silking showed substantial genotype-environment interaction, primarily influenced by environment.
Observation Thirteen genotypes performed excellently across at least four parameters or models.
Method / resource All traits were positively selected by the MTSI model.
Observation Grain yield had the highest selection weight, 25.8%.
Observation Ear barren tip had the lowest selection weight, 6.19%.
Observation DH509-9 was the most stable among selected genotypes, with MTSI 3.75.
Method / resource AMMI models had superior predictive accuracy to BLUP models.
Method / resource Mean root mean square prediction difference was highest for AMMI0 at 72.06.
Method / resource Mean root mean square prediction difference was lowest for BLUP_e at 27.08.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The optimal model was multidimensional.

Outcome: optimal modele0
Comparator: multidimensionale0

Not reportedValue

Verbatim

e0
“The optimal model is rather multidimensional”
✓ located verbatim in the source · abstract, characters 1446–1490

Title

Identification of Significant Street Tree Inventory Parameters Using Multivariate Statistical Analyses

Pierre Jutras; Shiv O. Prasher; Pierre Dutilleul Arboriculture & Urban Forestry 2009. doi:10.48044/jauf.2009.011

Other claims from this paper (5)

Method / resource Qualitative indices decreased model explanatory power.
Recommendation Quantitative parameters were recommended for tree inventories.
Method / resource Simplified growth models were statistically non-significant across species.
Method / resource The best growth model used multiple parameters.
Method / resource No single inventory parameter adequately delineated all physiological stages.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The Halsey model was the optimal sorption isotherm model for green soybean.

Taxon: green soybeane0
Outcome: optimal sorption isotherm modele0
Comparator: Halsey modele0

Verbatim

e0
“the optimal sorption isotherm model for green soybean is Halsey model”
✓ located verbatim in the source · abstract, characters 860–929

Title

Moisture Sorption Isotherms and Net Isosteric Heats of Sorption of Green Soybean

Zhao Yang; Enlong Zhu; Zongsheng Zhu International Journal of Food Engineering 2012. doi:10.1515/1556-3758.2757

Other claims from this paper (8)

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Limiting model shape assumptions generally gave the optimal model fit.

Taxon: four rangeland grass speciese1
Outcome: optimal model fite0
Comparator: limiting model-shape assumptionse0

Verbatim

e0
“optimal model fit was obtained by limiting model-shape assumptions”
✓ located verbatim in the source · abstract, characters 950–1016

e1
“four rangeland grass species”
✓ located verbatim in the source · abstract, characters 433–461

Title

Predicting Germination Response to Temperature. I. Cardinal-temperature Models and Subpopulation-specific Regression

STUART P. HARDEGREE Annals of Botany 2006. doi:10.1093/aob/mcl071

Other claims from this paper (5)

Method / resource All models were relatively accurate in the sub optimal temperature range.
Method / resource At 3 degrees C, cardinal temperature model germination times erred by as much as 70 d.
Recommendation Model choice should follow research objectives.
Method / resource Cardinal temperature models yield coefficients directly comparable for germplasm screening.
Method / resource Other formulations may predict germination time more accurately, especially at low temperatures.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

CA(W)-PLS was the optimal model.

Taxon: PaulowniaPaulowniat0
Outcome: optimale0
Comparator: CA(W)-PLS modele0

Verbatim

e0
“the CA(W)-PLS model was optimal.”
✓ located verbatim in the source · abstract, characters 2361–2393

t0
“Paulownia Leaves”
✓ located verbatim in the source · title, characters 58–74

Title

Hyperspectral Prediction Models of Chlorophyll Content in Paulownia Leaves under Drought Stress

Yamei Zhang; Guangxin Ru; Zhenli Zhao; et al. Sensors 2024. doi:10.3390/s24196309

Other claims from this paper (14)

Observation Spectral reflectance differed significantly by leaf position.
Observation Chlorophyll-sensitive bands were near 550 nm.
Observation Water-sensitive bands were near 1440 and 1920 nm.
Method / resource Multiple-index models outperformed single-index models.
Association Accuracy fell as indicator count fell.
Method / resource First derivative spectra were best for AB-PLS, PCA-PLS, and CA-PLS.
Method / resource Inverse log spectra were best for CA(W)-PLS.
Association GNDVI correlated most with chlorophyll sensitivity indices.
Association WI correlated most with water sensitivity indices.
Association Water bands affected cross validation accuracy.
Method / resource Characteristic bands significantly increased cross validation accuracy.
Method / resource Vegetation indices slightly increased cross validation accuracy.
Method / resource Vegetation indices reduced predictive ability.
Method / resource The first pair of top leaves had the worst predictive ability.

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

An optimal management model was built for Populinum Coryneum leaf blotch.

Taxon: Populinume0
Outcome: optimal management modele0

Not reportedComparatorValue

Verbatim

e0
“The optimal management model of Populinum-coryneum leaf blotch of Populinum was builded.”
✓ located verbatim in the source · abstract, characters 287–375

Title

Study on the Optimal Management of Coryneum Leaf Blotch of Populinum Bres.

Wei Xia Forestry Science and Technology 2000

Other claims from this paper (1)

Method / resource A dynamic economic threshold was determined for Coryneum leaf blotch management.

Method / resourceauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The model can determine economically optimal spraying strategies.

Outcome: economically optimal spraying strategiese0

Not reportedComparatorValue

Verbatim

e0
“The model can be used to determine economically optimal spraying strategies”
✓ located verbatim in the source · abstract, characters 834–909

Title

Modeling Lygus hesperus Injury to Cotton Yields

Marc Mangel; Spiro E. Stefanou; James E. Wilen Journal of Economic Entomology 1985. doi:10.1093/jee/78.5.1009

Other claims from this paper (4)

Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors propose using the model to determine optimal planting procedures.

Outcome: optimal planting procedurese0

Not reportedTaxon

Verbatim

e0
“information for optimal planting procedures could be determined”
✓ located verbatim in the source · abstract, characters 383–446

Title

A mathematical model of shading rows of plants

K. Tar; L. Makra; J. Lóki International Journal of Ambient Energy 1998. doi:10.1080/01430750.1998.9675296

Other claims from this paper (2)

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The optimal allocation model was effective in slope ecological restoration.

Taxon: plant communitye0
Outcome: effective in slope ecological restoratione0

Not reportedComparatorValue

Verbatim

e0
“the optimal allocation model of plant community is effective in slope ecological restoration”
✓ located verbatim in the source · abstract, characters 1027–1119

Title

Optimal Allocation Model of Plant Community in Slope Ecological Restoration

Aja Elias; E Obiahu; O; et al. Global NEST Journal 2020. doi:10.30955/gnj.003388

Other claims from this paper (3)

Method / resource The experiment identified C7 as an optimal plant community allocation for slope restoration.
Method / resource The experiment identified C8 as an optimal plant community allocation for slope restoration.
Method / resource The experiment identified C3 as an optimal plant community allocation for slope restoration.

“optimal model”

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