By organism › Green plants › Magnoliaceae › Magnolia

Observationobservedoriginal resultmeasured

Claim · model-written summary

Leaf litter of the four tree species lost 52.69% to 63.37% of weight.

Taxon: Magnolia and MachilusMagnoliaMachilust0
Outcome: Average weight losse0
Value: 52.69% to 63.37%e0
Setting: Bhutant0

Verbatim

e0
“Average weight loss ranged from 52.69% to 63.37%”
✓ located verbatim in the source · abstract, characters 814–862

t0
“Magnolia and Machilus Leaf Litter in Agroforestry Systems in Bhutan”
✓ located verbatim in the source · title, characters 26–93

Title

Decomposition Dynamics of Magnolia and Machilus Leaf Litter in Agroforestry Systems in Bhutan

Sangay Dorjee; Karma Orong International Journal of Forestry Research 2026. doi:10.1155/ijfr/3992541

Other claims from this paper (4)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Daily litter decomposition constants ranged from 0.0027 to 0.0033 day −1.

Taxon: Magnolia and MachilusMagnoliaMachilust0
Outcome: daily decomposition rate constantse0
Value: 0.0027 to 0.0033 day −1e0
Setting: Bhutant0

Verbatim

e0
“The daily decomposition rate constants ( k ) varied from 0.0027 to 0.0033 day −1 (approximately 0.99–1.2 year −1 )”
✓ located verbatim in the source · abstract, characters 864–978

t0
“Magnolia and Machilus Leaf Litter in Agroforestry Systems in Bhutan”
✓ located verbatim in the source · title, characters 26–93

Title

Decomposition Dynamics of Magnolia and Machilus Leaf Litter in Agroforestry Systems in Bhutan

Sangay Dorjee; Karma Orong International Journal of Forestry Research 2026. doi:10.1155/ijfr/3992541

Other claims from this paper (4)

Observationobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Decomposition varied among species, but the interspecific difference was not significant.

Taxon: Magnolia and MachilusMagnoliaMachilust0
Outcome: interspecific variatione0
Direction: no significante0
Value: p = 0.750e0
Setting: Bhutant0

Verbatim

e0
“Although differences in decomposition among species were observed, analysis of variance (ANOVA) showed no significant interspecific variation ( p = 0.750)”
✓ located verbatim in the source · abstract, characters 980–1134

t0
“Magnolia and Machilus Leaf Litter in Agroforestry Systems in Bhutan”
✓ located verbatim in the source · title, characters 26–93

Title

Decomposition Dynamics of Magnolia and Machilus Leaf Litter in Agroforestry Systems in Bhutan

Sangay Dorjee; Karma Orong International Journal of Forestry Research 2026. doi:10.1155/ijfr/3992541

Other claims from this paper (4)

Associationauthor interpretationoriginal resultmeasured

Claim · model-written summary

The authors infer that climate influenced decomposition more strongly than species identity.

Taxon: Magnolia and MachilusMagnoliaMachilust0
Outcome: influencee0
Direction: strongere0
Qualifier: climatic factorse0
Comparator: species‐level differencese0
Setting: Bhutant0

Verbatim

e0
“suggesting climatic factors had a stronger influence than species‐level differences”
✓ located verbatim in the source · abstract, characters 1136–1219

t0
“Magnolia and Machilus Leaf Litter in Agroforestry Systems in Bhutan”
✓ located verbatim in the source · title, characters 26–93

Title

Decomposition Dynamics of Magnolia and Machilus Leaf Litter in Agroforestry Systems in Bhutan

Sangay Dorjee; Karma Orong International Journal of Forestry Research 2026. doi:10.1155/ijfr/3992541

Other claims from this paper (4)

Observationauthor interpretationoriginal resultmeasured

Claim · model-written summary

The authors identify Magnolia and Machilus litter as a gradual release nutrient source.

Taxon: Magnolia and MachilusMagnoliaMachiluse0
Outcome: gradual‐release nutrient sourcee0
Setting: Bhutanese agroforestry systemse0

Verbatim

e0
“litters from Magnolia and Machilus act as a gradual‐release nutrient source in Bhutanese agroforestry systems”
✓ located verbatim in the source · abstract, characters 1249–1358

Title

Decomposition Dynamics of Magnolia and Machilus Leaf Litter in Agroforestry Systems in Bhutan

Sangay Dorjee; Karma Orong International Journal of Forestry Research 2026. doi:10.1155/ijfr/3992541

Other claims from this paper (4)

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Multiflora honey improved magnolia root number.

Taxon: magnoliaMagnoliae0
Treatment: multiflora honeye0
Outcome: root numbere0
Direction: improvede0
Comparator: other treatmentse0

Verbatim

e0
“For magnolia, multiflora honey improved both root number and quality, outperforming other treatments”
✓ located verbatim in the source · abstract, characters 1069–1169

Title

Evaluation of Honey as a Rooting Adjuvant for Cutting Propagation of Three Common Nursery Crops

Anthony T. Bowden; Patricia R. Knight; Jenny B. Ryals; et al. Agriculture 2025. doi:10.3390/agriculture15030256

Other claims from this paper (8)

Intervention effect Adding honey to IBA did not improve root counts of Red Cascade rose over IBA alone.
Intervention effect A 1000 µL∙L⁻1 IBA rate produced more rose roots than 250 µL∙L⁻1.
Intervention effect Honey type did not significantly affect camellia rooting.
Intervention effect Auxin rate did not significantly affect camellia rooting.
Intervention effect Local honey combined with higher IBA rates increased camellia root counts.
Intervention effect Multiflora honey combined with higher IBA rates increased camellia root counts.
Intervention effect Multiflora honey improved magnolia root quality.
Recommendation The authors suggest multiflora honey may have economic advantages for magnolia propagation.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Multiflora honey improved magnolia root quality.

Taxon: magnoliaMagnoliae0
Treatment: multiflora honeye0
Outcome: qualitye0
Direction: improvede0
Comparator: other treatmentse0

Verbatim

e0
“For magnolia, multiflora honey improved both root number and quality, outperforming other treatments”
✓ located verbatim in the source · abstract, characters 1069–1169

Title

Evaluation of Honey as a Rooting Adjuvant for Cutting Propagation of Three Common Nursery Crops

Anthony T. Bowden; Patricia R. Knight; Jenny B. Ryals; et al. Agriculture 2025. doi:10.3390/agriculture15030256

Other claims from this paper (8)

Intervention effect Adding honey to IBA did not improve root counts of Red Cascade rose over IBA alone.
Intervention effect A 1000 µL∙L⁻1 IBA rate produced more rose roots than 250 µL∙L⁻1.
Intervention effect Honey type did not significantly affect camellia rooting.
Intervention effect Auxin rate did not significantly affect camellia rooting.
Intervention effect Local honey combined with higher IBA rates increased camellia root counts.
Intervention effect Multiflora honey combined with higher IBA rates increased camellia root counts.
Intervention effect Multiflora honey improved magnolia root number.
Recommendation The authors suggest multiflora honey may have economic advantages for magnolia propagation.

Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors suggest multiflora honey may have economic advantages for magnolia propagation.

Taxon: magnoliaMagnoliae0
Outcome: potential economic advantages for magnolia propagatione0

Verbatim

e0
“multiflora honey demonstrated potential economic advantages for magnolia propagation”
✓ located verbatim in the source · abstract, characters 1230–1314

Title

Evaluation of Honey as a Rooting Adjuvant for Cutting Propagation of Three Common Nursery Crops

Anthony T. Bowden; Patricia R. Knight; Jenny B. Ryals; et al. Agriculture 2025. doi:10.3390/agriculture15030256

Other claims from this paper (8)

Intervention effect Adding honey to IBA did not improve root counts of Red Cascade rose over IBA alone.
Intervention effect A 1000 µL∙L⁻1 IBA rate produced more rose roots than 250 µL∙L⁻1.
Intervention effect Honey type did not significantly affect camellia rooting.
Intervention effect Auxin rate did not significantly affect camellia rooting.
Intervention effect Local honey combined with higher IBA rates increased camellia root counts.
Intervention effect Multiflora honey combined with higher IBA rates increased camellia root counts.
Intervention effect Multiflora honey improved magnolia root number.
Intervention effect Multiflora honey improved magnolia root quality.

Observationobservedoriginal resultmeasured

Claim · model-written summary

The fitted tepal-area scaling exponent was 0.9561, supporting allometry.

Taxon: MagnoliaMagnoliat0
Outcome: allometrye0
Value: 0.9561e0
Qualifier: 95% CI 0.9481–0.9641e0

Verbatim

e0
“Results showed α = 0.9561 (95% CI 0.9481–0.9641), confirming allometry.”
✓ located verbatim in the source · abstract, characters 645–716

t0
“a Magnolia species”
✓ located verbatim in the source · title, characters 109–127

Title

Testing the validity of the Montgomery–Koyama–Smith equation and the power law equation using 3231 tepals of a Magnolia species

Linli Deng; Jinfeng Wang; Li Zhang; et al. Trees 2025. doi:10.1007/s00468-025-02645-7

Other claims from this paper (4)

Method / resource The power law equation had lower RMSE than the Montgomery–Koyama–Smith equation.
Method / resource The power law equation had lower MAPE than MKSE.
Method / resource Sampling maximum tepal length from the largest nine, six or three tepals minimally affected performance.
Mechanism Variation in geometric-series common ratios likely drives tepal-area allometry.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The power law equation had lower RMSE than the Montgomery–Koyama–Smith equation.

Taxon: MagnoliaMagnoliat0
Outcome: root-mean-square errore0
Direction: lowere0
Value: 0.0149e0
Qualifier: 0.0172e0
Comparator: MKSEe0

Verbatim

e0
“PLE exhibited slightly lower root-mean-square error (RMSE: 0.0149 vs. 0.0172) and mean absolute percentage error (MAPE: 1.18% vs. 1.35%) than MKSE.”
✓ located verbatim in the source · abstract, characters 717–864

t0
“a Magnolia species”
✓ located verbatim in the source · title, characters 109–127

Title

Testing the validity of the Montgomery–Koyama–Smith equation and the power law equation using 3231 tepals of a Magnolia species

Linli Deng; Jinfeng Wang; Li Zhang; et al. Trees 2025. doi:10.1007/s00468-025-02645-7

Other claims from this paper (4)

Observation The fitted tepal-area scaling exponent was 0.9561, supporting allometry.
Method / resource The power law equation had lower MAPE than MKSE.
Method / resource Sampling maximum tepal length from the largest nine, six or three tepals minimally affected performance.
Mechanism Variation in geometric-series common ratios likely drives tepal-area allometry.

Magnolia 571 claims

571 claims