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Record W7000190334

EFFECTS OF NITROGEN SOURCE AND NITROGEN METABOLISM ON CHLOROSIS IN LEAVES OF âSR 7200â VELVET BENTGRASS (AGROSTIS CANINA L.)

2011· dissertation· en· W7000190334 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2011
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsChlorosisAmmoniumNitrogenGlutamine synthetaseUreaVelvet
DOInot available

Abstract

fetched live from OpenAlex

Field observations show that velvet bentgrass (Agrostis canina L.) (VB) an alternative species to creeping bentgrass (Agrostis stoloniera L.) (CB) exhibits chlorosis in the leaves at high nitrogen rates. Growth chamber experiments were conducted that compared VB and CB using a hydroponic system. The experiments tested 5%NH4+-N, 45%NH4+-N, 95%NH4+-N and urea N-sources. Chlorosis only occurred in VB at the 95% NH4+-N and 100% urea-N source. Nitrate, nitrite, and ammonium levels in leaves showed ammonium accumulation was positively correlated to chlorosis in VB. Enzyme analysis showed initial glutamine synthetase (GS) activity in roots compared to leaves is higher in CB than in VB, explaining low ammonium levels in leaves of CB. The GS activity in the roots of VB increased after 24 hours of treatment. The results showed that the chlorosis in the leaves of VB is the correlated to ammonium accumulation associated with nitrogen form supplied and GS activity.

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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.003
GPT teacher head0.134
Teacher spread0.131 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)Same topicPlant nutrient uptake and metabolismFrench-language works237,207