Method / resourcemodel-written summary

The NIR grading platform predicted fruit TSS of peach, nectarine and plum with a root mean squared error below 0.8%.

A claim from Use of near infra-red spectroscopy in evaluation of source-sink manipulation to increase the soluble sugar content of stonefruit · 2007

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The NIR grading platform predicted fruit TSS of peach, nectarine and plum with a root mean squared error below 0.8%.

Outcome
root mean squared errors of predictionse2
Value
< 0.8%e2
Qualifier
for TSSe2

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Prunus domestica
Prunus domestica · TaxonYAMAMAYA · CC BY-SA 3.0 · Wikimedia Commons ↗
Prunus persica
Prunus persica · TaxonAllagash Brewing · CC BY 2.0 · Wikimedia Commons ↗
Prunus persica var. nucipersica
Prunus persica var. nucipersica · Taxon · picture of the speciesAllagash Brewing · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e1

“evaluate the total soluble solids (TSS) contents and fresh weights (FW) of all fruit from peach, nectarine and plum trees”

✓ located verbatim in the source · abstract, characters 111–232
e2

“The grading platform achieved root mean squared errors of predictions for TSS of < 0.8%, and for FWs of 0.5 g”

✓ located verbatim in the source · abstract, characters 277–386

Title

Use of near infra-red spectroscopy in evaluation of source-sink manipulation to increase the soluble sugar content of stonefruit

Kerry B. Walsh; Robert L. Long; Simon G. Middleton The Journal of Horticultural Science and Biotechnology 2007. doi:10.1080/14620316.2007.11512235

Other claims from this paper (10)

Record rev-0f5dcb22b5bb484f3db2d1717f005a8396ff873985d2cf907665112789b62be9 · schema claims-v0.9 · position 1 in the model’s answer