Search claims · PlantClaims

Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Grouping by soil horizon worsened regression fits.

Outcome: fits worsenede0
Comparator: soil horizonse0

Not reportedTaxon

Verbatim

e0
“When root length distributions were grouped according to soil horizons the fits worsened”
✓ located verbatim in the source · abstract, characters 1316–1404

Title

Image analysis from root system pictures

Derblai Casaroli; Q. Jong Van Lier; Klaas Metselaar EGU General Assembly Conference Abstracts 2009

Other claims from this paper (4)

Method / resource Regression analyses characterized root length distributions across horizontal and vertical layers.
Method / resource Root length distribution could be estimated across horizontal and vertical layer positions.
Method / resource Grouping horizontal layers by distance from root center gave good regression fits.
Method / resource Image-derived root length density estimates were below literature values.

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Estimated flux improved Douglas-fir second flush growth fits over D50, with significant weight and leaf-area fits at final harvest in 1989.

Taxon: Douglas-firPseudotsuga menziesiie0
Organ / stage: second flush growthe0
Outcome: better fitse0
Direction: bettere0
Comparator: D50e0

Verbatim

e0
“with second flush growth of Douglas-fir, better fits were obtained with FLUXSUMC than D50, reaching significance for weight and leaf area at the final harvest in 1989.”
✓ located verbatim in the source · abstract, characters 5283–5450

Title

Effects of chronic ozone exposure and estimated flux on plant growth and conductance under field conditions

Wright, Elaine Frances cIRcle (University of British Columbia) 2009. doi:10.14288/1.0088872

Other claims from this paper (19)

Observationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors argue that Walter’s original description fits Running Oak.

Taxon: Running Oake0
Outcome: description fits the Running Oak quite welle0

Not reportedDirection

Verbatim

e0
“Walter’s description fits the Running Oak quite well”
✓ located verbatim in the source · abstract, characters 2572–2624

Title

Scientific Note: Quercus sinuata Walter—the Hybrid of Q. falcata and Q. phellos—Rediscovered and Neotypified

Daniel B. Ward Castanea 2007. doi:10.2179/0008-7475(2007)72[177:snqswh]2.0.co;2

Other claims from this paper (5)

Observation No Bluff Oak was found near Walter’s North Carolina homesite.
Observation Trees matching Walter’s description were found near the homesite.
Observation The matching trees were identified as a hybrid of Southern Red Oak and Willow Oak.
Observation Both oak parent species were found at the same location.
Observation A neotype was selected for Q. sinuata.

Observationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Flax fits into winter double-cropping systems in the southeastern United States.

Taxon: flaxLinum usitatissimume0
Outcome: fits well into double‐cropping systemse0
Setting: southeastern U.S.e0

Verbatim

e0
“As a winter crop, flax fits well into double‐cropping systems in the southeastern U.S.”
✓ located verbatim in the source · abstract, characters 128–214

Title

Fiber Flax Farming Practices in the Southeastern United States

Jonn A. Foulk; Danny E. Akin; Roy B. Dodd Crop Management 2003. doi:10.1094/cm-2003-0124-01-mg

Other claims from this paper (3)

Observation Flax can be harvested early for fiber with immature seeds attached.
Observation Flax can be harvested later as a mature crop for both seed and fiber.
Observation Available and familiar US farm equipment can grow and harvest flax for fiber.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Other tested distributions gave poorer fits.

Taxon: Sugarcanet0
Outcome: poorer fitse0
Comparator: negative binomial [aggregated], binomial [uniform], geometric, and hypergeometrice0

Verbatim

e0
“Tests of other distributions (negative binomial [aggregated], binomial [uniform], geometric, and hypergeometric) resulted in poorer fits”
✓ located verbatim in the source · abstract, characters 505–641

t0
“on Sugarcane in Louisiana”
✓ located verbatim in the source · title, characters 58–83

Title

Sampling for the Sugarcane Borer (Lepidoptera: Crambidae) on Sugarcane in Louisiana

H. P. Schexnayder; T. E. Reagan; D. R. Ring Journal of Economic Entomology 2001. doi:10.1603/0022-0493-94.3.766

Other claims from this paper (6)

Observation Sugarcane borer infestations were randomly dispersed.
Observation Infestation levels ranged from 0.6 to 33.3%.
Method / resource The Poisson distribution best fit the infested-stalk frequency data.
Method / resource The plan with 2 and 5% limits required a maximum average 7.1 20-stalk samples.
Method / resource The plan with 5 and 10% limits required a maximum average 5.5 20-stalk samples.
Recommendation The authors estimated implementing these plans would reduce sampling effort by 50-60%.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Grouping horizontal layers by distance from root center gave good regression fits.

Outcome: good fitse0
Comparator: distance from the root centere0

Not reportedTaxon

Verbatim

e0
“Regression analysis showed good fits when the root length distributions were grouped in horizontal layers according to the distance from the root center”
✓ located verbatim in the source · abstract, characters 1162–1314

Title

Image analysis from root system pictures

Derblai Casaroli; Q. Jong Van Lier; Klaas Metselaar EGU General Assembly Conference Abstracts 2009

Other claims from this paper (4)

Method / resource Regression analyses characterized root length distributions across horizontal and vertical layers.
Method / resource Root length distribution could be estimated across horizontal and vertical layer positions.
Method / resource Grouping by soil horizon worsened regression fits.
Method / resource Image-derived root length density estimates were below literature values.

Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Linmai 32 fits Linxia, Weiyuan, Lintao and Lanzhou.

Taxon: wheatTriticum aestivumt0
Material: Linmai 32t0
Outcome: fits to Linxia,Weiyuan,Lintao and Lanzhoue0

Verbatim

t0
“spring wheat variety Linmai 32”
✓ located after whitespace/quote normalisation · title, characters 32–62

e0
“It fits to Linxia,Weiyuan,Lintao and Lanzhou.”
✓ located verbatim in the source · abstract, characters 946–991

Title

Breeding and Selection of A New Spring Wheat Variety Linmai 32 with Fine Quality and Disease Resistance

Han Zhi-qiang Gansu Agricultural Science and Technology 2006

Other claims from this paper (15)

Method / resource Linmai 32 was developed as a new spring wheat variety with fine quality and disease resistance.
Observation Linmai 32 showed superior high-yield ability.
Observation Linmai 32 showed disease resistance power.
Observation Linmai 32 plant height was 85～95 cm.
Observation Linmai 32 thousand-grain weight was 40～45 g.
Observation Linmai 32 breeding period was 92～107 d.
Observation Linmai 32 had a beard on top.
Observation Average seed protein was 15.25% in Linmai 32.
Observation Average dropping value was 28 ml in Linmai 32.
Observation Average wet gluten was 36.00% in Linmai 32.
Observation Average dry gluten was 11.90% in Linmai 32.
Observation Average hardness was 37.50 in Linmai 32.
Observation Linmai 32 ranked fifth among ten materials in a Gansu area competition.
Observation Linmai 32 yield increased by 6.89% compared with Longchun 15.
Observation General production output of Linmai 32 was 5 376.30 kg/hm~2.

Observationobservedoriginal resultmeasured

Claim · model-written summary

The rye infecting bunt fits the species concept of T. secalis.

Taxon: ryeSecale cerealee0
Interactor: T. secalisTilletia secalise0pathogen
Outcome: fits within the species concept of T. secalise0
Setting: Europee0

Verbatim

e0
“The rye-infecting bunt fits within the species concept of T. secalis , a pathogen of cultivated rye in Europe”
✓ located verbatim in the source · abstract, characters 747–856

Title

Is rye bunt, Tilletia secalis, present in North America?

Lori Carris North American Fungi 2008. doi:10.2509/naf2008.003.0078

Other claims from this paper (4)

Observation A Tilletia fungus infected a volunteer rye plant in Idaho.
Intervention effect Greenhouse inoculation confirmed the rye infecting bunt can infect wheat.
Observation Phylogenetic analysis distinguished the rye infecting bunt from wheat bunt pathogens.
Observation The study demonstrates a North American rye bunt genetically distinct from wheat bunt pathogens.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The piecewise linear model fits the experimental data much better than the linear model.

Outcome: fits the experimental datae0
Direction: bettere0
Comparator: the linear onee0

Verbatim

e0
“The piecewise linear model fits the experimental data much better than the linear one”
✓ located verbatim in the source · abstract, characters 598–683

Title

Induction of Chromosome Aberrations is Non-linear within the Low Dose Region and Depends on Dose Rate

A. A. Oudalova; S. A. Geras'kin; V. G. Dikarev; et al. Radiation Protection Dosimetry 2002. doi:10.1093/oxfordjournals.rpd.a006774

Other claims from this paper (4)

Observationobservedoriginal resultmeasured

Claim · model-written summary

The distribution of the plant community fits the characteristics of mountainous desert grassland.

Taxon: plant communitye2
Outcome: distribution of plant communitye2
Qualifier: fits the characteristics of mountainous desert grasslande2

Verbatim

e2
“The distribution of plant community fits the characteristics of mountainous desert grassland”
✓ located verbatim in the source · abstract, characters 272–364

Title

Studies on the environment and biodiversity of the desert grassland area in Xiangshan Mountain,Ningxia

Shang Zhan; Yao Ai; Long Rui; et al. 2006

Other claims from this paper (7)

Observation The 151 investigated species belong to 39 families or 95 genera.
Observation Most community types are on the shady slope of the mountain.
Association Community diversity is influenced by time, topography and soil moisture content.
Observation The shrubby community is the most important factor for maintaining ecosystem function.
Recommendation The shrubby community is the keystone for biodiversity conservation in the region.
Recommendation The few large animals indicate that conservation must be done.
Observation Insect communities fit the characteristics of grassland communities in the dry area.

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