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Method / resourceobservedoriginal resultmixedmeasured

Claim · model-written summary

Estimated stomatal resistance using leaf temperature rather than air temperature correlated very well with measured values, with a slight decrease in performance.

Taxon
maizeZea mayse1
Treatment
TLe2
Outcome
estimated rse2
Qualifier
correlated very well with the measured valuese2
Comparator
Tae2

Verbatim

e1

“for a non-stressed maize canopy”

✓ located verbatim in the source · abstract, characters 167–198
e2

“The estimated rs using TL rather than Ta correlated very well with the measured values, but with a slight decrease in performance for both the J-model and the NMJ-model”

✓ located verbatim in the source · abstract, characters 1961–2129

Title

On the Dynamics of Stomatal Resistance: Relationships between Stomatal Behavior and Micrometeorological Variables and Performance of Jarvis-Type Parameterization

S. Irmak; D. Mutiibwa Transactions of the ASABE 2009. doi:10.13031/2013.29219

Other claims from this paper (5)
Method / resourceauthor interpretationoriginal resultmixedmeasured

Claim · model-written summary

Cold storage at 7°C could extend embryo processing up to two months with a slight efficiency decrease.

Taxon
St. Augustinegrasst0
Treatment
cold storage at 7°Ce0
Outcome
crossabilitye0
Direction
slight drop offe0
Value
4.37–6.03%e0
Qualifier
up to 2 moe0

Verbatim

e0

“the use of cold storage at 7°C to potentially extend the processing period up to 2 mo with a slight drop off in efficiency (4.37–6.03% crossability)”

✓ located verbatim in the source · abstract, characters 1149–1297
t0

“St. Augustinegrass”

✓ located verbatim in the source · title, characters 42–60

Title

Efficiency of Embryo Rescue Technology in St. Augustinegrass Breeding

A. D. Genovesi; A. Chandra; M. Meeks International Turfgrass Society research journal 2017. doi:10.2134/itsrj2016.06.0457

Other claims from this paper (4)
Method / resourceobservedoriginal resultmixednot significant (as stated)measured

Claim · model-written summary

After 245 days in a deep freezer, the target pesticides showed no significant decrease except bifenthrin and fenpropathrin.

Outcome
concentration of the target pesticidese0
Value
245 dayse1
Qualifier
except for bifenthrin, fenpropathrine1
Setting
deep freezer (-80 o C.e1

Verbatim

e0

“there were no statistically significant decreases in the concentration of the target pesticides when the analytical reference material was stored at room temperature (20~30 o C) for 7 days”

✓ located verbatim in the source · abstract, characters 864–1052
e1

“deep freezer (-80 o C. except for bifenthrin, fenpropathrin) for 245 days”

✓ located verbatim in the source · abstract, characters 1089–1162

Title

Development of Analytical Reference Material for Proficiency Test of Pesticide Multi-residue Analysis in Green-pepper

Jong-Hwan Kim; Sung-Gil Choi; Young-Gon Oh; et al. The Korean Journal of Pesticide Science 2016. doi:10.7585/kjps.2016.20.3.211

Other claims from this paper (8)
Method / resourceobservedoriginal resultmixedsimulated

Claim · model-written summary

Explicit diffuse radiation modeling predicts productivity first rises and then falls as cloud cover increases.

Taxon
vegetatione0
Outcome
vegetation productivitye0
Direction
first increase with increasing cloud cover (due to benefits of diffused radiation) and then decreasee0
Comparator
increasing cloud covere0

Not reportedValue

Verbatim

e0

“vegetation productivity will first increase with increasing cloud cover (due to benefits of diffused radiation) and then decrease (due to decrease in available radiation)”

✓ located verbatim in the source · abstract, characters 5357–5527

Title

Comment on “Optimized stomatal conductance of vegetated land surfaces and its effects on simulated productivity and climate” by A. Kleidon

Vivek Arora Geophysical Research Letters 2005. doi:10.1029/2004gl022110

Other claims from this paper (4)
Method / resourceobservedoriginal resultmixedmeasured

Claim · model-written summary

A selected model lowered RSME by 13% while raising computation time by 7.5% versus an original model.

Outcome
RSMEe0
Direction
decreasee0
Value
13%e0
Qualifier
7.5% increase in model computation timee0
Comparator
one of the original modelse0

Verbatim

e0

“With the model set used, a 13% decrease in RSME was obtained by allowing a 7.5% increase in model computation time compared to one of the original models.”

✓ located verbatim in the source · abstract, characters 1183–1337
t0

“Tomato”

✓ located verbatim in the source · title, characters 41–47

Title

Model selection with a common structure: Tomato crop growth models

Wouter J.P. Kuijpers; Marinus J.G. van de Molengraft; Simon van Mourik; et al. Biosystems Engineering 2019. doi:10.1016/j.biosystemseng.2019.09.010

Other claims from this paper (1)
Method / resourceobservedoriginal resultmixedmeasured

Claim · model-written summary

EMSC-YOLO ran at 129.32 FPS, 3.69% slower than YOLOv10n at 134.28 FPS.

Taxon
litchiLitchit0
Outcome
inference speede0
Direction
decreasee0
Value
129.32 FPSe0
Qualifier
134.28e0
Comparator
baseline YOLOv10ne0

Verbatim

e0

“EMSC-YOLO maintains a high inference speed of 129.32 FPS, with only a 3.69% relative decrease in FPS compared with the baseline YOLOv10n whose FPS is 134.28”

✓ located verbatim in the source · abstract, characters 1382–1538
t0

“Litchi”

✓ located verbatim in the source · title, characters 45–51

Title

EMSC-YOLO: A Lightweight Model for Detecting Litchi Maturity in Complex Orchard Environments

Longzhen Yu; Yusha Xie; Kai Zhang; et al. Agriculture 2026. doi:10.3390/agriculture16101032

Other claims from this paper (4)
Method / resourceobservedoriginal resultmixedmeasured

Claim · model-written summary

NDVI and SAVI could discriminate only gross changes in canopy greenness in cherry trees, not successive phenological states.

Taxon
cherry treese2
Outcome
discriminate only gross changese2
Comparator
successive phenological statese2

Verbatim

e2

“Landsat 7 (ETM+) derived vegetation indices (NDVI, SAVI) could discriminate only gross changes associated with an increase and then a decrease of canopy greenness in cherry trees, but could not discriminate between successive phenological states in which the proportion of foliage is only slightly different”

✓ located verbatim in the source · abstract, characters 846–1153

Title

Studying phenological stages of cherry (Prunus avium L.) using field observations and satellite-derived vegetation indexes

Eduardo von Bennewitz Alvarez; Rodrigo Cazanga-Solar; Marcos Carrasco-Benavides Idesia 2018. doi:10.4067/s0718-34292018000100065

Other claims from this paper (3)

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