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“decrease in density”

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2000 ’10 ’20

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Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Marker density as low as 500 did not decrease prediction accuracy.

Taxon: spring wheatTriticum aestivumt0
Outcome: prediction accuracye0
Direction: without decreasinge0
Value: 500e0

Verbatim

e0
“marker density could be as low as 500 without decreasing the prediction accuracy”
✓ located verbatim in the source · abstract, characters 1018–1098

t0
“spring wheat”
✓ located verbatim in the source · title, characters 75–87

Title

Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs

Charlotte Brault; Emily J. Conley; Andrew J. Green; et al. The Plant Genome 2025. doi:10.1002/tpg2.20559

Other claims from this paper (4)

Method / resource Reproducing kernel Hilbert space was the best prediction method across settings with mean accuracy 0.63.
Method / resource Training set optimization was useful for two traits.
Method / resource Prediction of unrelated breeding populations significantly decreased accuracy, although some traits and populations retained encouraging values.
Method / resource Adding the URSN population increased prediction accuracy up to 0.19 as the number of breeding-program training lines fell.

Method / resourceobservedoriginal resultmixedmeasured

Claim · model-written summary

Inflection-point densities allowed both species to increase or decrease biomass across mixtures.

Taxon: maizeZea mayse1
Outcome: biomass productione0
Direction: increases or decreasese0
Comparator: smaller speciese0

Verbatim

e0
“functional densities at which the biomass accumulation inflection point for the smaller species allowed both species to exhibit either increases or decreases in biomass production depending on competitive interactions for all interspecific mixtures”
✓ located verbatim in the source · abstract, characters 1086–1334

e1
“maize ( Zea mays L.)”
✓ located verbatim in the source · abstract, characters 755–775

Title

Addressing biases in replacement series: the importance of reference density selection for interpretation of competition outcomes

Ramon G. Leon; Fernando H. Oreja; Steven B. Mirsky; et al. Weed Science 2023. doi:10.1017/wsc.2023.53

Other claims from this paper (5)

Method / resource Reference density criteria substantially changed inferred competitive interactions.
Method / resource The maximum-biomass model favored the larger species and nearly inhibited growth of the smaller species.
Method / resource The nitrogen-uptake equivalency model produced interactions closer to neutral competition.
Method / resource The biomass inflection-point model was the most sensitive and informative across mixtures.
Recommendation Reference density selection should meet sensitivity and within-species competition criteria.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Integrating GRAS-Di and GoldenGate SNP markers decreased average genetic distance between markers in all four rice RIL populations.

Outcome: average genetic distance between markerse0
Direction: decreasee0

Not reportedComparator

Verbatim

e0
“the average genetic distance between markers showed a clear decrease in the four RIL populations when we integrated markers of both linkage maps”
✓ located verbatim in the source · abstract, characters 1338–1482

Title

High-Density Linkage Maps from Japanese Rice japonica Recombinant Inbred Lines Using Genotyping by Random Amplicon Sequencing-Direct (GRAS-Di)

Fekih, Rym; Ishimaru, Yohei; Okada, Satoshi; et al. Institutional Repositories DataBase (IRDB) 2023

Other claims from this paper (9)

Method / resource GRAS-Di produced 438.7 Mbp covering 97.5% of the rice genome in RIL71.
Method / resource GRAS-Di produced 440 Mbp covering 97.3% of the rice genome in RIL98.
Method / resource GRAS-Di produced 403.1 Mbp covering 98.3% of the rice genome in RIL16.
Method / resource GRAS-Di produced 392 Mbp covering 96.1% of the rice genome in RIL91.
Method / resource Genotypic analysis identified 1050 markers in RIL71.
Method / resource Genotypic analysis identified 1285 markers in RIL98.
Method / resource Genotypic analysis identified 1708 markers in RIL16.
Method / resource Genotypic analysis identified 1704 markers in RIL91.
Method / resource The markers localized five heading-date QTLs on rice chromosomes 3, 6 and 7, previously identified as Hd1, Hd2, Hd6, Hd16 and Hd17.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Integrating GRAS-Di and GoldenGate markers decreased average intermarker genetic distance in four RIL populations.

Taxon: riceOryza sativat0
Outcome: average genetic distance between markerse0
Direction: decreasee0
Comparator: both linkage mapse0

Verbatim

e0
“the average genetic distance between markers showed a clear decrease in the four RIL populations when we integrated markers of both linkage maps.”
✓ located verbatim in the source · abstract, characters 1338–1483

t0
“Japanese Rice japonica Recombinant Inbred Lines”
✓ located verbatim in the source · title, characters 31–78

Title

High-Density Linkage Maps from Japanese Rice japonica Recombinant Inbred Lines Using Genotyping by Random Amplicon Sequencing-Direct (GRAS-Di)

Rym Fekih; Yohei Ishimaru; Satoshi Okada; et al. Plants 2023. doi:10.3390/plants12040929

Other claims from this paper (11)

Method / resource GRAS-Di generated 438.7 Mbp of called bases for RIL71.
Method / resource GRAS-Di generated 440 Mbp of called bases for RIL98.
Method / resource GRAS-Di generated 403.1 Mbp of called bases for RIL16.
Method / resource GRAS-Di generated 392 Mbp of called bases for RIL91.
Method / resource Genotyping identified 1050 markers in RIL71.
Method / resource Genotyping identified 1285 markers in RIL98.
Method / resource Genotyping identified 1708 markers in RIL16.
Method / resource Genotyping identified 1704 markers in RIL91.
Method / resource The markers localized five heading-date QTLs on chromosomes 3, 6 and 7 corresponding to Hd1, Hd2, Hd6, Hd16 and Hd17.
Method / resource GRAS-Di provided low-cost efficient genotyping for closely related Japanese rice cultivars.
Method / resource GRAS-Di enabled generation of a high-density linkage map.

Method / resourceobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

As forward speed rose, mean droplet density on the top fell from 277.35 - 243.40 no.cm-2.

Taxon: soybean cropGlycine maxt0
Organ / stage: tope0
Treatment: increase in forwarding speede0
Outcome: mean droplet densitye0
Direction: decreaseinferrede0
Value: 277.35 - 243.40 no.cm-2e0

Verbatim

e0
“With an increase in forwarding speed, the mean percentage of coverage decreased significantly (30.30 - 15.37 % for top and 20.01- 4.12 % for bottom part of the leaves), and the mean droplet density varied significantly (277.35 - 243.40 no.cm-2 for top and 262.87 - 78.44 no.cm-2 for the bottom part of the leaves) at 5 % level of significance.”
✓ located verbatim in the source · abstract, characters 703–1046

t0
“The spraying system was tested on soybean crop”
✓ located verbatim in the source · abstract, characters 607–653

Title

Design and Performance Evaluation of Self-propelled Intra-Canopy Boom Spraying System

Bhabani Shankar Dash; Arun Kumar; Rajesh U. Modi; et al. Journal of Agricultural Engineering (India) 2020. doi:10.52151/jae2020573.1715

Other claims from this paper (14)

Method / resource Flat fan nozzles gave better boom volumetric distribution at 2.5 kgf.cm-2.
Method / resource Hollow cone nozzles gave better distribution at 2.0 kgf.cm-2 and 300 mm height.
Method / resource As forward speed rose, mean percentage of coverage on the top fell from 30.30 - 15.37 %.
Method / resource As forward speed rose, mean percentage of coverage on the bottom part of the leaves fell from 20.01- 4.12 %.
Method / resource As forward speed rose, mean droplet density on the bottom part of the leaves fell from 262.87 - 78.44 no.cm-2.
Method / resource At 1.5 km.h-1, top leaf coverage was 30.30%.
Method / resource At 1.5 km.h-1, bottom leaf coverage was 20.01%.
Method / resource Low speed increased spray volume relative to faster travel.
Method / resource Low speed reduced field capacity relative to faster travel.
Method / resource Forward travel speed, tag position and nozzle type significantly affected mean droplet size.
Method / resource Forward travel speed, tag position and nozzle type significantly affected number median diameter.
Method / resource Forward travel speed, tag position and nozzle type significantly affected percentage coverage of leaf area.
Method / resource Forward travel speed, tag position and nozzle type significantly affected droplet density.
Method / resource Field capacity ranged from 0.22 to 0.36 ha.h-1 as travel speed increased from 1.50 to 2.50 km.h-1.

Method / resourceobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

As forward speed rose, mean droplet density on the bottom part of the leaves fell from 262.87 - 78.44 no.cm-2.

Taxon: soybean cropGlycine maxt0
Organ / stage: bottom part of the leavese0
Treatment: increase in forwarding speede0
Outcome: mean droplet densitye0
Direction: decreaseinferrede0
Value: 262.87 - 78.44 no.cm-2e0

Verbatim

e0
“With an increase in forwarding speed, the mean percentage of coverage decreased significantly (30.30 - 15.37 % for top and 20.01- 4.12 % for bottom part of the leaves), and the mean droplet density varied significantly (277.35 - 243.40 no.cm-2 for top and 262.87 - 78.44 no.cm-2 for the bottom part of the leaves) at 5 % level of significance.”
✓ located verbatim in the source · abstract, characters 703–1046

t0
“The spraying system was tested on soybean crop”
✓ located verbatim in the source · abstract, characters 607–653

Title

Design and Performance Evaluation of Self-propelled Intra-Canopy Boom Spraying System

Bhabani Shankar Dash; Arun Kumar; Rajesh U. Modi; et al. Journal of Agricultural Engineering (India) 2020. doi:10.52151/jae2020573.1715

Other claims from this paper (14)

Method / resource Flat fan nozzles gave better boom volumetric distribution at 2.5 kgf.cm-2.
Method / resource Hollow cone nozzles gave better distribution at 2.0 kgf.cm-2 and 300 mm height.
Method / resource As forward speed rose, mean percentage of coverage on the top fell from 30.30 - 15.37 %.
Method / resource As forward speed rose, mean percentage of coverage on the bottom part of the leaves fell from 20.01- 4.12 %.
Method / resource As forward speed rose, mean droplet density on the top fell from 277.35 - 243.40 no.cm-2.
Method / resource At 1.5 km.h-1, top leaf coverage was 30.30%.
Method / resource At 1.5 km.h-1, bottom leaf coverage was 20.01%.
Method / resource Low speed increased spray volume relative to faster travel.
Method / resource Low speed reduced field capacity relative to faster travel.
Method / resource Forward travel speed, tag position and nozzle type significantly affected mean droplet size.
Method / resource Forward travel speed, tag position and nozzle type significantly affected number median diameter.
Method / resource Forward travel speed, tag position and nozzle type significantly affected percentage coverage of leaf area.
Method / resource Forward travel speed, tag position and nozzle type significantly affected droplet density.
Method / resource Field capacity ranged from 0.22 to 0.36 ha.h-1 as travel speed increased from 1.50 to 2.50 km.h-1.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Yield relationship yielded action thresholds of three and seven leafmines per leaf.

Taxon: tomatoSolanum lycopersicume0
Interactor: Liriomyza trifoliiLiriomyza trifoliit0pest
Outcome: action thresholdse0
Value: three and seven leafmines per tomato leafe0

Verbatim

e0
“Two action thresholds (m AT), three and seven leafmines per tomato leaf, were set by examining the relationship between the leafmine density and the decrease in the tomato yield.”
✓ located verbatim in the source · abstract, characters 202–380

t0
“Liriomyza trifolii(Diptera: Agromyzidae) in greenhouse tomatoes”
✓ located verbatim in the source · title, characters 78–141

Title

Evaluation of binomial sequential classification sampling plan for leafmine ofLiriomyza trifolii(Diptera: Agromyzidae) in greenhouse tomatoes

Doo Hyung Lee; Jung-Joon Park; Joon-Ho Lee; et al. International Journal of Pest Management 2006. doi:10.1080/09670870601105956

Other claims from this paper (7)

Method / resource Model fit improved up to T = 5 then stabilized.
Method / resource Sampling plan robustness improved with T, with negligible gains at T ≥ 3.
Method / resource Simulation identified T = 3 as optimal.
Method / resource Fewer than 70 samples classified leafmine counts relative to either action threshold.
Method / resource Resampling performance exceeded that expected from OC and ASN functions.
Method / resource Correct classification reached at least 99%.
Method / resource Matching sample size was below 57.

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“decrease in density”

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