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Record W2332765576 · doi:10.1080/01904167.2013.780610

NUTRIENT UPTAKE KINETICS OF CLOUDBERRY

2013· article· en· W2332765576 on OpenAlexaffabout
Jin Zhou, Yves Desjardins, Line Lapointe

Bibliographic record

VenueJournal of Plant Nutrition · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsChemistryNutrientAmmoniumKineticsPotassiumNitrogenPhosphorusAnimal scienceNitrateBotanyBiology

Abstract

fetched live from OpenAlex

Mineral fertilization of cloudberry (Rubus chamaemorus) has been inconclusive so far. Nutrient absorption of cloudberry was studied by solution depletion 1) to characterize its nutrient uptake kinetics and 2) to determine its preferred nitrogen (N) form. Two accessions, ‘Fjordgull’ (a female cultivar from Norway) and a local wild clonal selection from ‘Baie-Comeau’ (Canada) were tested. Ammonium (NH4) and phosphorus (P) absorption presented a two-component kinetic while nitrate (NO3), potassium (K), and glycine absorption was better fitted with the Michaelis-Menten equation alone. Cloudberry preferences for nitrogen form were in the order: NH4-N, glycine, NO3-N. ‘Fjordgull’ exhibited much higher Km and Jmax for P uptake than the ‘Baie-Comeau’ accession, but they exhibited similar NH4-N uptake kinetics. However, Km values for all nutrients tested except NH4-N were higher than reported for other species. Cloudberry does not appear to have evolved efficient absorption kinetics to compensate for the overall very low abundance of nutrients of peatlands.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.197
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2013
Admission routes2
Has abstractyes

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