Search claims · PlantClaims

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The hyperactive mmPing20 version negated the decrease in transposition rate caused by promoter embedding.

Taxon: soybeanGlycine maxe4
Treatment: a hyperactive version of mPinge1
Outcome: transposition ratee1
Direction: negatede1
Comparator: Embedding promoter sequences in mPinge1

Verbatim

e1
“Embedding promoter sequences in mPing resulted in a decrease in overall transposition rate; however, this effect was negated by using a hyperactive version of mPing called mmPing20”
✓ located verbatim in the source · abstract, characters 375–555

e4
“Expression analysis of a line that contained a heritable insertion of the mmPing20F activation tag indicated that the activation tag induced overexpression of the nearby soybean genes”
✓ located verbatim in the source · abstract, characters 709–892

Title

Development of mPing ‐based activation tags for crop insertional mutagenesis

Alexander Johnson; Edward Mcassey; Stephanie Diaz; et al. Plant Direct 2021. doi:10.1002/pld3.300

Other claims from this paper (4)

Method / resource Embedding promoter sequences in mPing decreased overall transposition rate relative to mPing.
Observation Transgenic soybean events showed evidence of transposition.
Intervention effect The mmPing20F activation tag induced overexpression of nearby soybean genes.
Method / resource Activation tags have the potential to induce more phenotypes than the original mPing element.

Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

SLW-YOLO detection speed decreased by 42.1 FPS relative to YOLOv5s.

Taxon: SoybeanGlycine maxt0
Outcome: detection speede0
Direction: decreasee0
Value: 42.1 FPSe0

Verbatim

t0
“Soybean”
✓ located verbatim in the source · title, characters 19–26

e0
“There was a decrease in detection speed by 42.1 FPS”
✓ located verbatim in the source · abstract, characters 980–1031

Title

SLW-YOLO: A Hybrid Soybean Parent Phenotypic Consistency Detection Model Based on Deep Learning

Chuntao Yu; Jinyang Li; Wenqiang Shi; et al. Agriculture 2025. doi:10.3390/agriculture15192001

Other claims from this paper (8)

Method / resource SLW-YOLO achieved a 92.3% F1 score.
Method / resource SLW-YOLO achieved 94.8% mAP.
Method / resource SLW-YOLO detection speed was 88.3 FPS.
Method / resource SLW-YOLO model size was 45.1 MB.
Method / resource SLW-YOLO improved F1 score by 6.1% relative to YOLOv5s.
Method / resource SLW-YOLO improved mAP by 5.4% relative to YOLOv5s.
Method / resource SLW-YOLO model size increased by 31.4 MB relative to YOLOv5s.
Method / resource SLW-YOLO detected parent phenotypic consistency of 98.9%, consistent with manual evaluation.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The model reproduced the 2007 decrease in leaf area index and biomass.

Taxon: soybeanGlycine maxt0
Outcome: reduction in the leaf area index (LAI) and in biomass production during this year, which was reproduced by the modele0

Not reportedValue

Verbatim

e0
“There was a reduction in the leaf area index (LAI) and in biomass production during this year, which was reproduced by the model.”
✓ located verbatim in the source · abstract, characters 526–655

t0
“soybean growth and yield under northeastern Amazon climatic conditions”
✓ located verbatim in the source · title, characters 14–84

Title

Simulation of soybean growth and yield under northeastern Amazon climatic conditions

Paulo Jorge de Oliveira Ponte de Souza; José Renato Bouças Farias; José Paulo Mourão de Melo e Abreu; et al. Pesquisa Agropecuária Brasileira 2011. doi:10.1590/s0100-204x2011000600001

Other claims from this paper (5)

Observation Leaf area index and biomass declined in 2007.
Method / resource Simulated LAI had RMSE of 0.55 to 0.82 m² m-2.
Method / resource Independent soybean yield simulations had RMSE of 198 kg ha-1.
Method / resource The model overestimated independent soybean yield by 3%.
Method / resource The modified model adequately simulated leaf area, biomass and yield.

Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

At the warmest Brazilian location, simulated yield losses reached 38% under 3 °C warming.

Taxon: soybeanGlycine maxt0
Treatment: + 3 °C temperature risee0
Outcome: yielde0
Direction: decreasee0
Value: 38%e0
Setting: Brazile0

Verbatim

e0
“In our warmest location in Brazil, the models simulated a yield reduction ranging from a 38% decrease under + 3 °C temperature rise to no effect on yield”
✓ located verbatim in the source · abstract, characters 1109–1262

t0
“soybean”
✓ located verbatim in the source · title, characters 4–11

Title

Are soybean models ready for climate change food impact assessments?

Kritika Kothari; Rafael Battisti; Kenneth J. Boote; et al. European Journal of Agronomy 2022. doi:10.1016/j.eja.2022.126482

Other claims from this paper (10)

Method / resource Models varied considerably in simulated soybean yield responses to temperature and CO2.
Method / resource At the coolest Argentine location, models simulated a 24% yield reduction under 3 °C warming.
Method / resource At the coolest Argentine location, other models simulated yield increases up to 29%.
Method / resource At the warmest Brazilian location, some models simulated no yield effect.
Method / resource Raising CO2 from 360 to 540 ppm produced simulated yield increases of 6% to 31%.
Method / resource Calibration did not reduce variation across models.
Method / resource Calibration altered temperature yield responses in some models.
Method / resource Ensemble means reduced uncertainty in soybean yield simulations.
Method / resource Ensemble mean temperature and CO2 responses resembled literature results.
Recommendation Further model development using elevated CO2 and temperature experiments was recommended.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The method decreased the relative ratio of chloroplast DNA.

Taxon: soybeanGlycine maxe1
Outcome: relative ratio of chloroplast DNAe0
Direction: decreasee0
Comparator: seeds using the IMP Boom methode0

Verbatim

e0
“DNA extracted from seeds using the IMP Boom method showed an increase in the percentage of the nuclear genome with a decrease in the relative ratio of chloroplast DNA”
✓ located verbatim in the source · abstract, characters 1390–1556

e1
“soybean seeds”
✓ located verbatim in the source · abstract, characters 675–688

Title

Development of a High-Quality/Yield Long-Read Sequencing-Adaptable DNA Extraction Method for Crop Seeds

Naohiro Shioya; Eri Ogiso-Tanaka; Masanori Watanabe; et al. Plants 2023. doi:10.3390/plants12162971

Other claims from this paper (9)

Method / resource The method yielded approximately 8 µg DNA per gram of soybean seed.
Method / resource The method gave an average soybean seed DNA concentration of 48.3 ng/µL, about 40-fold above a common kit.
Method / resource The extracted DNA had an A260/280 value of 1.90 above the quality threshold.
Method / resource The extracted DNA had an A260/230 value of 2.43 above the quality threshold.
Method / resource The DNA integrity number was 8.1, above the kit and CTAB methods.
Method / resource Long-read sequencing gave a read length N50 of 20.96 kbp, above other methods.
Method / resource Long-read sequencing gave a maximum read length of 127.8 kbp, above other methods.
Method / resource The method increased the percentage of nuclear genome reads.
Method / resource The method could also be adapted to pea, okra, maize and sunflower seeds.

Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

The reparameterized t-Student distribution decreased the influence of discrepant values in soybean yield data.

Taxon: SOYBEANGlycine maxt0
Outcome: influence of these pointse0
Direction: decreasee0
Qualifier: data with discrepant valuese0

Not reportedComparatorValue

Verbatim

e0
“The reparameterized t-Student distribution is an alternative in studying data with discrepant values, showing the ability to decrease the influence of these points.”
✓ located verbatim in the source · abstract, characters 791–955

t0
“SOYBEAN”
✓ located verbatim in the source · title, characters 23–30

Title

SPATIAL VARIABILITY OF SOYBEAN YIELD THROUGH A REPARAMETERIZED T-STUDENT MODEL

Rosangela C. Schemmer; Miguel A. Uribe-Opazo; Manuel Galea; et al. Engenharia Agrícola 2017. doi:10.1590/1809-4430-eng.agric.v37n4p760-770/2017

Other claims from this paper (1)

Method / resource The two model distributions produced dissimilar soybean yield maps with kappa 0.64.

Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Embedding promoter sequences in mPing decreased overall transposition rate relative to mPing.

Taxon: soybeanGlycine maxe4
Treatment: Embedding promoter sequencese1
Outcome: overall transposition ratee1
Direction: decreasee1
Comparator: mPinge1

Verbatim

e1
“Embedding promoter sequences in mPing resulted in a decrease in overall transposition rate; however, this effect was negated by using a hyperactive version of mPing called mmPing20”
✓ located verbatim in the source · abstract, characters 375–555

e4
“Expression analysis of a line that contained a heritable insertion of the mmPing20F activation tag indicated that the activation tag induced overexpression of the nearby soybean genes”
✓ located verbatim in the source · abstract, characters 709–892

Title

Development of mPing ‐based activation tags for crop insertional mutagenesis

Alexander Johnson; Edward Mcassey; Stephanie Diaz; et al. Plant Direct 2021. doi:10.1002/pld3.300

Other claims from this paper (4)

Method / resource The hyperactive mmPing20 version negated the decrease in transposition rate caused by promoter embedding.
Observation Transgenic soybean events showed evidence of transposition.
Intervention effect The mmPing20F activation tag induced overexpression of nearby soybean genes.
Method / resource Activation tags have the potential to induce more phenotypes than the original mPing element.

Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

Modeled UAN concentrations of 1, 3 and 12% corresponded to 5, 10 and 20% soybean yield reductions.

Taxon: soybeanGlycine maxe0
Outcome: soybean yielde0
Direction: decreasee0
Value: 1, 3, and 12%e0

Verbatim

e0
“The predicted percent UAN concentration that caused a 5, 10, and 20% decrease in soybean yield was 1, 3, and 12%, respectively”
✓ located verbatim in the source · abstract, characters 1323–1449

Title

The Impact of the Addition of Urea Ammonium Nitrate to 2,4-D on the Control of Multiple-Herbicide-Resistant Canada Fleabane

Nader Soltani; Christy Shropshire; Peter H. Sikkema Journal of Agricultural Science 2023. doi:10.5539/jas.v15n6p68

Other claims from this paper (6)

Intervention effect Glyphosate, 2,4-D and UAN caused no soybean injury.
Intervention effect Adding UAN reduced resistant Canada fleabane control, particularly at higher rates.
Method / resource At four weeks, modeled UAN concentrations of 12, 17, 25 and 52% corresponded to 5, 10, 20 and 50% reductions in fleabane control.
Method / resource At eight weeks, modeled UAN concentrations of 10, 13, 18 and 33% corresponded to 5, 10, 20 and 50% reductions in fleabane control.
Method / resource At eight weeks, modeled UAN concentrations of 36 and 73% corresponded to 5 and 10% increases in fleabane density.
Method / resource At eight weeks, modeled UAN concentrations of 2, 4, 8 and 19% corresponded to 5, 10, 20 and 50% increases in fleabane biomass.

Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

The model reproduced decreased soybean canopy transpiration as carbon dioxide increased.

Taxon: soybeanGlycine maxe0
Treatment: C a was increased from 330 to 800 μmol mol −1e0
Outcome: transpiratione0
Direction: decreasee0
Value: 14 000 to 11 000 μmol m −2 s −1e0
Comparator: 330e0

Verbatim

e0
“The model reproduced an increase in net photosynthesis from 35 to 65 μmol m −2 s −1 , and a decrease in transpiration from 14 000 to 11 000 μmol m −2 s −1 , for an irrigated soybean [ Glycine max (L.) Merr.] canopy when C a was increased from 330 to 800 μmol mol −1 .”
✓ located verbatim in the source · abstract, characters 556–823

Title

Interactions between Carbon Dioxide and Water Deficits Affecting Canopy Photosynthesis: Simulation and Testing

Robert F. Grant Crop Science 1992. doi:10.2135/cropsci1992.0011183x003200060004x

Other claims from this paper (5)

Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Classification accuracy decreased as purple nutsedge fresh weight category increased.

Taxon: soybeanGlycine maxe0
Interactor: purple nutsedgee0weed
Outcome: accuracye0
Direction: decreasee0
Value: more than 2,560 g to more than 3,420 ge0
Qualifier: from more than 2,560 g to more than 3,420 ge0

Verbatim

e0
“A decrease in accuracy was observed for both simultaneous and delayed soybean emergence in purple nutsedge fresh weight categories from more than 2,560 g to more than 3,420 g”
✓ located verbatim in the source · abstract, characters 1636–1810

Title

Effect of purple (Cyperus rotundus) and yellow nutsedge (C. esculentus) on growth and reflectance characteristics of cotton and soybean

Chris T. Leon; David R. Shaw; Lori M. Bruce; et al. Weed Science 2003. doi:10.1614/0043-1745(2003)051[0557:eopcra]2.0.co;2

Other claims from this paper (9)

“decrease in A”

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