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Taxon: wheat ✕

Taxon groups are the verbatim names found in the abstracts (case-insensitive), not normalised: maize, corn and Zea mays are separate groups here. The Organism view merges them through NCBI Taxonomy.

Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

The viscosity maximum and its decrease are not a reliable indicator of amylolytic activity in wheat flour.

Outcome
reliable indicator of amylolytic activitye2
Qualifier
Neither the viscosity maximum nor the decrease in viscosity maximume2
Comparator
amylolytic activitye2

Verbatim

e2

“Neither the viscosity maximum nor the decrease in viscosity maximum was a reliable indicator of amylolytic activity”

✓ located verbatim in the source · abstract, characters 796–911
t0

“Wheat Flour”

✓ located verbatim in the source · title, characters 18–29

Title

Factors Affecting Wheat Flour Amylographic Maximum Viscosity

BLAŽENKA ŠEBEČIČ Journal of Food Science 1989. doi:10.1111/j.1365-2621.1989.tb04664.x

Other claims from this paper (3)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Estimates from images before harvest showed only a slight decrease in performance compared with the statistic obtained just before harvest.

Outcome
performancee1
Direction
slight decreasee1
Comparator
the statistic obtained just before the harveste1

Verbatim

t0

“Wheat Yield Estimates”

✓ located verbatim in the source · title, characters 67–88
e1

“only a slight decrease in performance is observed compared to the statistic obtained just before the harvest”

✓ located verbatim in the source · abstract, characters 1342–1450

Title

Combined Use of Multi-Temporal Landsat-8 and Sentinel-2 Images for Wheat Yield Estimates at the Intra-Plot Spatial Scale

Remy Fieuzal; Vincent Bustillo; David Collado; et al. Agronomy 2020. doi:10.3390/agronomy10030327

Other claims from this paper (7)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Sources of Rht-B1b, Rht-D1b and Rht8c alleles that decrease wheat height were identified for selection.

Gene
Rht-B1b, Rht-D1b and Rht8ce0
Outcome
sourcese0
Direction
decreasee0

Not reportedComparatorValue

Verbatim

e0

“The sources of the Rht-B1b, Rht-D1b and Rht8c alleles, which lead to a decrease in the plant height and can be used in the selection process of wheat, have been identified”

✓ located verbatim in the source · abstract, characters 483–654

Title

A STUDY OF THE ALLELIC COMPOSITION OF THE RHT1, RHT2, RHT8 DWARFING GENES IN THE COLLECTION OF WINTER WHEAT (TRITICUM AESTIVUM L.) VARIETIES AND LINES AND THEIR INFLUENCE ON AGRONOMIC TRAITS

E. A. Fomina; S. V. Malyshev; S. N. Kulinkovich; et al. Proceedings of the National Academy of Sciences of Belarus Biological Series 2018. doi:10.29235/1029-8940-2018-63-1-46-52

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

Claim · model-written summary

NDVI plus days to heading reduced prediction RMSE by 10%.

Outcome
root mean square errore0
Direction
decreasee0
Value
10%e0

Not reportedComparator

Verbatim

e0

“models including NDVI and days to heading providing a 50% increase in the prediction accuracy and a 10% decrease in the root mean square error.”

✓ located verbatim in the source · abstract, characters 1064–1207
t0

“wheat”

✓ located verbatim in the source · title, characters 20–25

Title

Improving in-season wheat yield prediction using remote sensing and additional agronomic traits as predictors

Adrian Gracia-Romero; Rubén Rufo; David Gómez-Candón; et al. Frontiers in Plant Science 2023. doi:10.3389/fpls.2023.1063983

Other claims from this paper (6)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Combining S1 with S2 reduced RMSE by 30% relative to S2 alone.

Outcome
RMSEe0
Direction
decreasee0
Value
30%e0
Comparator
S2 alonee0

Verbatim

e0

“a decrease of 30% in RMSE when compared to using S2 alone”

✓ located verbatim in the source · abstract, characters 1588–1645
e1

“wheat (Triticum spp. L.) fields”

✓ located verbatim in the source · abstract, characters 752–783

Title

Optimizing Wheat Yield Prediction Integrating Data from Sentinel-1 and Sentinel-2 with CatBoost Algorithm

Asier Uribeetxebarria; Ander Castellón; Ana Aizpurua Remote Sensing 2023. doi:10.3390/rs15061640

Other claims from this paper (5)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

The largest model uncertainty was the start of the senescent decline in canopy quantum yield.

Outcome
predicting a start time for the senescent decrease of canopy quantum yielde0
Direction
most uncertaintye0

Not reportedComparatorValue

Verbatim

e0

“The most uncertainty arose in predicting a start time for the senescent decrease of canopy quantum yield.”

✓ located verbatim in the source · abstract, characters 958–1063
e1

“for wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 278–310

Title

An approach to crop modeling with the energy cascade.

T Volk; B Bugbee; R M Wheeler PubMed 1995

Other claims from this paper (5)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Increasing experimental units per block reduced the number of sample units.

Outcome
number of sample unitse0
Direction
decreasee0
Comparator
Increasing number of experimental units per blocke0

Verbatim

e0

“Increasing number of experimental units per block led to a decrease in number of sample units”

✓ located verbatim in the source · abstract, characters 1473–1566
t0

“WHEAT”

✓ located verbatim in the source · title, characters 57–62

Title

USING POWER FUNCTION OF THE ANALYSIS OF VARIANCE TEST IN WHEAT EXPERIMENTS

A. EL-Taweel, Journal of Plant Production 2004. doi:10.21608/jpp.2004.238513

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

Claim · model-written summary

Halving the image size decreased the success rate by less than 1%.

Treatment
images were reduced to a half of its original sizee0
Outcome
success ratee0
Direction
decreasee0
Value
<1%e0

Verbatim

t0

“Automatic wheat ear counting”

✓ located verbatim in the source · title, characters 0–28
e0

“higher than 90% in success rate, with a decrease of <1% when images were reduced to a half of its original size”

✓ located verbatim in the source · abstract, characters 1317–1428

Title

Automatic wheat ear counting in-field conditions: simulation and implication of lower resolution images

Jose A. Fernandez-Gallego; Shawn C. Kefauver; Nieves Aparicio Gutiérrez; et al. Remote Sensing for Agriculture, Ecosystems, and Hydrology XX 2018. doi:10.1117/12.2500083

Other claims from this paper (5)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Soil-contamination corrections decreased estimated root Al concentration by 131%.

Material
Nugainse1
Outcome
Ale0
Direction
decreasee0
Value
131%e0

Verbatim

e0

“Concentration corrections ranged from an increase of 14% for Na to a decrease of 131% for Al.”

✓ located verbatim in the source · abstract, characters 764–857
e1

“Wheat (Triticum aestivum L., cv ‘Nugains') was planted in seven soils.”

✓ located verbatim in the source · abstract, characters 193–263

Title

Correction of elemental analysis of soil‐grown wheat roots contaminated with soil

E. E. Cary Journal of Plant Nutrition 1992. doi:10.1080/01904169209364368

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

Claim · model-written summary

RKHS predictive ability decreased 38% from within-year cross-validation to cross-year prediction.

Material
RKHSe0
Outcome
predictive abilitye0
Direction
decreasee0
Value
38%e0
Comparator
within-year cross-validatione0

Verbatim

e0

“A 32 and 38% decrease in predictive ability was observed for GBLUP and RKHS models, respectively, when comparing within-year cross-validation and cross-year prediction models’ results.”

✓ located verbatim in the source · abstract, characters 1426–1610
t0

“wheat population”

✓ located verbatim in the source · title, characters 52–68

Title

Genomic selection in a single cross doubled-haploid wheat population

Song, Jiayin (Susan) cIRcle (University of British Columbia) 2017. doi:10.14288/1.0342776

Other claims from this paper (4)

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