Search claims · PlantClaims

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The method increased the percentage of nuclear genome reads.

Taxon: soybeanGlycine maxe1
Outcome: percentage of the nuclear genomee0
Direction: increasee0
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 decreased the relative ratio of chloroplast DNA.
Method / resource The method could also be adapted to pea, okra, maize and sunflower seeds.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Models accounting for enviromic information increased genetic variance.

Taxon: alfalfa (Medicago sativa L.)Medicago sativae1
Treatment: models accounting to the enviromics informatione0
Outcome: genetic variancee0
Direction: increasee0

Not reportedComparator

Verbatim

e0
“models accounting to the enviromics information led to an increase of genetic variance and a decrease in the error variance”
✓ located verbatim in the source · abstract, characters 640–763

e1
“Breeding for dry matter yield and persistence in alfalfa (Medicago sativa L.)”
✓ located verbatim in the source · abstract, characters 0–77

Title

Идентификация математической модели в виде полиномиальной рекуррентной нейронной сети и настройка регуляторов электропривода с сериесным двигателем

И. А. Орловский Радіоелектроніка, інформатика, управління 2011. doi:10.1002/tpg2.20306

Other claims from this paper (11)

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

FV/FM and RFD categorized cold sensitive and tolerant plants in the STT state.

Taxon: Arabidopsis thalianaArabidopsis thalianat0
Outcome: well categorized the cold sensitive and tolerant plantse0
Qualifier: STT statee0
Comparator: cold sensitive and tolerant plantse0

Not reportedValue

Verbatim

e0
“maximum quantum yield of PSII photochemistry (FV/FM) and fluorescence decrease ratio (RFD) well categorized the cold sensitive and tolerant plants when measured in STT state.”
✓ located verbatim in the source · abstract, characters 1217–1391

t0
“Arabidopsis thaliana”
✓ located verbatim in the source · title, characters 79–99

Title

Chlorophyll fluorescence emission can screen cold tolerance of cold acclimated Arabidopsis thaliana accessions

Anamika Mishra; Arnd G Heyer; Kumud B Mishra Plant Methods 2014. doi:10.1186/1746-4811-10-38

Other claims from this paper (4)

Intervention effect Cold acclimation broadened slow phase ChlF transients in cold sensitive accessions.
Intervention effect Sub-zero temperature treatment broadened slow phase ChlF transients in cold tolerant accessions.
Method / resource A linear combination of three images with QDC and SFFS gave reasonable contrast between cold sensitive and tolerant accessions in AC and STT states.
Method / resource Combinatorial imaging with classifiers and feature selection screened cold tolerance without sub-zero exposure.

Method / resourceauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

The developed N fertiliser regression formulae were presented as useful for choosing proso millet N rates.

Taxon: proso milletPanicum miliaceume0
Outcome: useful information about the N fertiliser ratee0

Not reportedComparatorValue

Verbatim

e0
“The N fertiliser regression formulae developed in the study would provide useful information about the N fertiliser rate of proso millet.”
✓ located verbatim in the source · abstract, characters 1129–1266

Title

Nitrogen deficiency induced a decrease in grain yield related to photosynthetic characteristics, carbon–nitrogen balance and nitrogen use efficiency in proso millet (Panicum miliaceum L.)

Xiangwei Gong; Jing Li; Hongchi Ma; et al. Archives of Agronomy and Soil Science 2019. doi:10.1080/03650340.2019.1619077

Other claims from this paper (14)

Intervention effect Nitrogen deficiency decreased net photosynthesis rate, stomatal conductance and transpiration rate in proso millet flag leaves.
Intervention effect Nitrogen deficiency decreased chlorophyll content in proso millet flag leaves.
Intervention effect Nitrogen deficiency increased intercellular CO2 concentration in proso millet flag leaves.
Intervention effect Nitrogen deficiency negatively regulated proso millet carbon–nitrogen balance.
Intervention effect Nitrogen deficiency increased the C/N ratio in proso millet.
Intervention effect Nitrogen deficiency reduced total N, soluble protein and soluble sugar contents in proso millet.
Intervention effect Nitrogen deficiency resulted in high starch content in proso millet.
Intervention effect Lower available N significantly reduced proso millet N uptake and utilisation.
Association Proso millet grain yield correlated positively with photosynthetic characteristics.
Association Proso millet grain yield correlated positively with N use efficiency.
Association Proso millet grain yield correlated negatively with the C/N ratio.
Intervention effect N0 yielded less than N150 in both years.
Intervention effect N60 yielded less than N150 in both years.
Intervention effect N105 yielded less than N150 in both years.

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Spatial expansion of Striga hermonthica was slower in a stochastic model than in the deterministic model

Taxon: millete1
Interactor: S. hermonthicaStriga hermonthicae1parasite
Outcome: Spatial expansion of S. hermonthicae1
Direction: slowere1
Comparator: deterministic modele1

Verbatim

e1
“Spatial expansion of S. hermonthica and decrease in millet yield in a field was slower, on average, when stochasticity of attachment of seedlings to the host was included and compared to the deterministic model”
✓ located verbatim in the source · abstract, characters 476–686

Title

Long‐term management of Striga hermonthica: strategy evaluation with a spatio‐temporal population model

T A VAN MOURIK; F J J A BIANCHI; W VAN DER WERF; et al. Weed Research 2008. doi:10.1111/j.1365-3180.2008.00638.x

Other claims from this paper (7)

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The proposed multi-temporal model increased R2 by 0.020–0.111 relative to previous methods.

Taxon: ratoon ricet0
Treatment: our proposed multi- temporal methode0
Outcome: R2e0
Direction: increasee0
Value: 0.020–0.111e0
Comparator: previous multi-temporal UAV-based methodse0

Verbatim

e0
“compared with previous multi-temporal UAV-based methods, our proposed multi- temporal method (multi-temporal model VIs & Tex: R2 as 0.795, RMSE as 0.298, RRMSE as 0.072) can increase R2 by 0.020–0.111 and decrease RMSE by 0.020–0.080 in crop yield forecasting”
✓ located verbatim in the source · abstract, characters 1281–1540

t0
“ratoon rice”
✓ located after whitespace/quote normalisation · title, characters 29–40

Title

Improved Yield Prediction of Ratoon Rice Using Unmanned Aerial Vehicle-Based Multi-Temporal Feature Method

Zhou Longfei; Meng Ran; Yu Xing; et al. Rice Science 2023. doi:10.1016/j.rsci.2023.03.008

Other claims from this paper (2)

Method / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Chlorophyll a fluorescence may be a useful tool for estimating the level of drought tolerance in potato.

Taxon: potatoSolanum tuberosume4
Outcome: level of tolerance to drought stresse4
Comparator: tolerant and sensitive groupse2

Verbatim

e2
“The tolerant and sensitive groups significantly differed in terms of most photosynthetic parameters”
✓ located verbatim in the source · abstract, characters 990–1089

e4
“These results suggest that chlorophyll a fluorescence may serve as a useful tool for estimating the level of tolerance to drought stress in potato”
✓ located verbatim in the source · abstract, characters 1318–1464

Title

Relations Between Photosynthetic Parameters and Drought-Induced Tuber Yield Decrease in Katahdin-Derived Potato Cultivars

Jarosław Plich; Dominika Boguszewska-Mańkowska; Waldemar Marczewski Potato Research 2020. doi:10.1007/s11540-020-09451-3

Other claims from this paper (3)

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

NaN03-soluble soil nickel better predicted increases in lettuce leaf nickel concentration than total or CaCl2-soluble soil nickel.

Taxon: lettuceLactuca sativae0
Treatment: NaN03‐soluble soil Nie0
Outcome: increase in Ni‐concentration of lettuce leavese0
Direction: better suitede0
Qualifier: irrespective of soil typee0
Comparator: total soil Ni (Added+ Native) and CaCl2 soluble soil Nie0

Verbatim

e0
“NaN03‐soluble soil Ni, irrespective of soil type, is better suited to predict the decrease in yield and increase in Ni‐concentration of lettuce leaves as compared to total soil Ni (Added+ Native) and CaCl2 soluble soil Ni.”
✓ located verbatim in the source · abstract, characters 489–711

Title

The effect of graded doses of nickel on the yield, the nickel content of lettuce and the soil respiration

S.K. Gupta; H. Hani; E. Santschi; et al. Toxicological & Environmental Chemistry Reviews 1987. doi:10.1080/02772248709357189

Other claims from this paper (4)

Association Lettuce nickel uptake percentage was lower in neutral to alkaline soils than acid sandy soils.
Method / resource NaN03-soluble soil nickel better predicted lettuce yield decrease than total or CaCl2-soluble soil nickel.
Intervention effect Carbon mineralisation fell to 20% at 90 mg total soil nickel per kg dry acid sandy loam soil.
Observation The nickel no-effect level was 27 mg total soil nickel per kg dry soil.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

An S-shaped curve quantified the relation between wheat RGR loss and daily average drought stress, with R2 values of 0.859 and 0.849 in 2017 and 2018.

Taxon: wheatTriticum aestivume0
Outcome: yield loss sensitivity response relationshipe0
Value: 0.859 and 0.849e0
Comparator: no drought stresse0

Verbatim

e0
“The yield loss sensitivity response relationship between the decrease in the RGR of wheat dry matter (relative to no drought stress) and the daily average degree of drought stress could be quantitatively identified by an S-shaped curve, and the 2017 and 2018 average coefficients of determination R2 were 0.859 and 0.849, respectively.”
✓ located verbatim in the source · abstract, characters 716–1051

Title

Quantification Assessment of Winter Wheat Sensitivity under Different Drought Scenarios during Growth

Shangming Jiang; Zheng Li; Hongwei Yuan; et al. Water 2024. doi:10.3390/w16142048

Other claims from this paper (8)

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The hybrid model increased R2 by 0.08 relative to linear regression, CNN and Transformer-only baselines.

Outcome: R2 valuee1
Direction: increasese1
Value: 0.08e1
Comparator: baseline models of the linear regression, CNN, and Transformer only modelse1

Not reportedTaxon

Verbatim

e1
“The results of the tests yielded a 12% decrease in Root Mean Square Error (RMSE) along with 0.08 increases of the R2 value in comparison to the baseline models of the linear regression, CNN, and Transformer only models”
✓ located verbatim in the source · abstract, characters 784–1002

Title

Region-based Crop Yield Prediction using a Transformer-CNN Hybrid Model for Agricultural Forecasting

R. Nalan; M. Rupak Ram; H.Mohammed Nihal; et al. 2025 International Conference on Intelligent Computing and Control Systems (ICICCS) 2025. doi:10.1109/iciccs65191.2025.10985479

Other claims from this paper (1)

Method / resource The hybrid model reduced RMSE by 12% relative to linear regression, CNN and Transformer-only baselines.

“yield decrease”

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