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“estimation methods differed”

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Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Marker effect estimation methods differed little in prediction of entry genetic value.

Taxon: BarleyHordeum vulgaret0
Outcome: prediction of entry genetic valuee0
Direction: Little differencee0
Comparator: marker effect estimation methodse0

Verbatim

e0
“Little difference was found between marker effect estimation methods in terms of prediction of entry genetic value”
✓ located verbatim in the source · abstract, characters 815–929

t0
“Barley”
✓ located verbatim in the source · title, characters 95–101

Title

Potential and Optimization of Genomic Selection for Fusarium Head Blight Resistance in Six‐Row Barley

A. J. Lorenz; K.P. Smith; J.‐L. Jannink Crop Science 2012. doi:10.2135/cropsci2011.09.0503

Other claims from this paper (5)

Method / resource Genomic selection prediction accuracy for FHB reached 0.72.
Method / resource Genomic selection prediction accuracy for DON reached 0.68.
Method / resource The marker set could be reduced to 384 markers with little impact on accuracy.
Method / resource Training population size could be reduced to 200 with little impact on accuracy.
Method / resource Combining neighboring breeding-program subpopulations gave little to no advantage in prediction.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The methods differed in estimated resistance level and had upper and lower measurement limits.

Taxon: rice varietiesOryza sativae1
Outcome: level of estimation of resistance is differente0
Comparator: two methods comparede0

Verbatim

e0
“the level of estimation of resistance is different between two methods compared, and that there are upper and lower limits of measurable range in all the methods.”
✓ located verbatim in the source · abstract, characters 225–387

e1
“blast resistance of rice varieties”
✓ located verbatim in the source · abstract, characters 28–62

Title

Comparison among Various Methods for Testing Blast Resistance of Rice Varieties

Shigehisa KIYOSAWA Japanese Journal of Phytopathology 1970. doi:10.3186/jjphytopath.36.325

Other claims from this paper (7)

Method / resource All pairs of blast-resistance methods showed curvilinear regressions.
Method / resource Injection classified intermediate varieties as more susceptible than spraying.
Method / resource Spray evaluation based on predominant lesions classified intermediate varieties as more resistant than evaluation based on the largest lesion.
Method / resource Four-week inoculation gave a more resistant reaction than two-week inoculation.
Method / resource Inoculation with Ken 54-04 gave a more resistant reaction than Ken 54-20.
Method / resource Less aggressive fungal strains could reveal part of field resistance missed by the usual greenhouse test.
Method / resource Increasing plant age or using field-like growing conditions could reveal field resistance missed by the usual greenhouse test.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Accurate population estimation differed when insect populations were low.

Taxon: cottonGossypium hirsutumt0
Outcome: accurate population estimatese0
Comparator: insect populations were lowe0

Verbatim

e0
“Making accurate population estimates was found to be different when insect populations were low”
✓ located verbatim in the source · abstract, characters 472–567

t0
“cotton”
✓ located verbatim in the source · title, characters 22–28

Title

Methods of estimating cotton insect populations

Patrick Malcolm Henry OakTrust (Texas A&M University Libraries) 1969

Other claims from this paper (3)

Method / resource Larger and more numerous samples improved cotton insect population estimates.
Method / resource Negative binomial sampling had smaller variance than fixed plot sampling.
Method / resource Sequential sampling was particularly useful when insect populations were very high or very low.

Observation 8

Show all 8 →

Observationobservedoriginal resultmeasured

Claim · model-written summary

Repeatability estimates differed across crops, traits and estimation methods.

Taxon: Bertholletia excelsaBertholletia excelsae0
Outcome: repeatability coefficientse1
Qualifier: varied among crops, traits and estimation methodse1

Not reportedDirection

Verbatim

e0
“Bertholletia excelsa”
✓ located verbatim in the source · abstract, characters 86–106

e1
“Estimates of repeatability coefficients varied among crops, traits and estimation methods.”
✓ located verbatim in the source · abstract, characters 761–851

Title

Repetibility of the yield traits of Brazil nut cultivated in Roraima

Cássia Ângela Pedrozo; Ayulle Thalía Watson Alcoforado; Marcos Miguel Mayer; et al. Scientia Forestalis 2021. doi:10.18671/scifor.v49n129.25

Other claims from this paper (4)

Observationobservedoriginal resultmeasured

Claim · model-written summary

Critical potassium concentrations differed by plant part and estimation method.

Taxon: faba beanVicia fabae1
Organ / stage: plant partse0
Outcome: critical concentrationse0
Direction: variede0

Verbatim

e0
“The critical concentrations varied between plant parts and among the methods used.”
✓ located verbatim in the source · abstract, characters 1111–1193

e1
“faba bean ( Vicia faba L. cv. Fiord) and chickpea ( Cicer arietinum L. T1587)”
✓ located verbatim in the source · abstract, characters 123–200

Title

Diagnosis of potassium deficiency in faba bean and chickpea by plant analysis

N. Aini; C. Tang Australian Journal of Experimental Agriculture 1998. doi:10.1071/ea97112

Other claims from this paper (12)

Observationobservedoriginal resultmeasured

Claim · model-written summary

The GWF estimated by FBM and T1M differed by up to 3961 %.

Taxon: riceOryza sativae0
Outcome: GWFs estimated by FBM and T1Me4
Value: up to 3961 %e4

Verbatim

e4
“While a difference of up to 3961 % was observed between GWFs estimated by FBM and T1M”
✓ located verbatim in the source · abstract, characters 1559–1644

e0
“applied three different methods for estimating the GWF during the rice production process”
✓ located verbatim in the source · abstract, characters 255–344

Title

A comparative assessment of grey water footprint estimation methods in paddy fields

Mahsa Naderi; Abdullah Darzi-Naftchali; Fatemeh Karandish; et al. Agricultural Water Management 2024. doi:10.1016/j.agwat.2024.109269

Other claims from this paper (12)

Method / resource HYDRUS-2D RMSE was 0.25–0.99 mg L −1 and within the acceptable range.
Method / resource HYDRUS-2D nRMSE was 5.3–19.1 % and within the acceptable range.
Method / resource HYDRUS-2D nMBE was -2.14–10.47 % and within the acceptable range.
Method / resource HYDRUS-2D model efficiency EF was 0.6–1.0 and within the acceptable range.
Observation The GWF determined using the field-based method ranged from 17 to 2995 m3 t−1.
Observation The GWF determined using the tier-1 method ranged from 701 to 1368 m3 t−1.
Observation The GWF determined using the HYDRUS-2D model ranged from 19 to 2770 m3 t−1.
Method / resource HYDRUS-2D provided values closer to the field-based method, with relative errors of 5 % to 12 %.
Intervention effect Alternate wetting and drying had a substantially greater GWF than mid-season drainage.
Intervention effect Increasing the drainage intensity raised the GWF under both AWD and MSD.
Method / resource Using the GWF obtained by T1M is associated with substantial uncertainties in practice.
Method / resource HYDRUS-2D predicted GWF more precisely than the tier-1 method.

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Method / resource 19

Observation 8