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Record W2153436196 · doi:10.1104/pp.102.019430

In Vivo Gas Exchange Measurement of the Site and Dynamics of Nitrate Reduction in Soybean

2003· article· en· W2153436196 on OpenAlexaff
Yan‐Ping Cen, David B. Layzell

Bibliographic record

VenuePLANT PHYSIOLOGY · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsQueen's University
Fundersnot available
KeywordsShootAssimilation (phonology)ChemistryNitratePhotosynthesisBotanyMapleGlycineNutrientHorticultureBiologyBiochemistryAmino acid

Abstract

fetched live from OpenAlex

A gas analysis system was built to study the relationship between the reductant cost of NO(3)(-) assimilation and the measured rate of CO(2) and O(2) exchange in roots, leaves, and stems+ petioles of soybean (Glycine max L. Merr. cv Maple glen) plants. The measurements were used to calculate the diverted reductant utilization rate (DRUR = 4*[measured rate of CO(2) + measured rate of O(2)], in moles of high-energy electron [e(-)] per gram per hour) in plants in the presence (N+) and absence (N-) of NO(3)(-). The differences in DRUR between the N+ and N- treatments provided a measure of the NO(3)(-)-coupled DRUR of 25-d-old plants, whereas a (15)NO(3)(-)-enriched nutrient solution was used to obtain an independent measure of the rate of NO(3)(-) assimilation. The measured reductant cost for the whole plant was 9.6 e(-) per N assimilated, a value within the theoretical range of four to 10 e(-) per N assimilated. The results predicted that shoots accounted for about 55% of the whole-plant NO(3)(-) assimilation over the entire day, with shoots dominating in the light, and roots in the dark. The gas analysis approach described here holds promise as a powerful, noninvasive tool to study the regulation of NO(3)(-) assimilation in plant tissue.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.108

Codex and Gemma teacher scores by category

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

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 head0.023
GPT teacher head0.196
Teacher spread0.173 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations15
Published2003
Admission routes1
Has abstractyes

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Same venuePLANT PHYSIOLOGYSame topicPlant nutrient uptake and metabolismFrench-language works237,207