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Record W2050235586 · doi:10.2135/cropsci2008.05.0292

Response of Nitrogen Uptake and Partitioning to Critical Nitrogen Supply in Oat Cultivars

2009· article· en· W2050235586 on OpenAlexaff
Gengmao Zhao, B. L., Changzhong Ren

Bibliographic record

VenueCrop Science · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCrop Yield and Soil Fertility
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsSeedlingBiologyAvenaCultivarAgronomyDry matterNitrogenHorticultureChemistry

Abstract

fetched live from OpenAlex

Nitrogen uptake and partitioning in oat ( Avena sativa L.) are not well documented. A greenhouse study was conducted to determine the critical timing of N supply on the growth, N uptake, and partitioning. Plants grown in plastic pots were subjected to five N fertilization regimes: (i) control, N supply from seedling to physiological maturity (PM); (ii) N supply from seedling to flag leaf; (iii) N supply from flag leaf to PM; (iv) N supply from seedling to heading; and (v) N supply from heading to PM. Leaf chlorophyll content, plant dry matter (DM), and N uptake and accumulation were measured. Total plant DM was 21% greater for naked ‘VAO‐2’ than for covered ‘Prescott’, while both genotypes produced similar grain yields. Varietal differences in total plant N were significant ( P < 0.05) with average of 18% higher N content for VAO‐2, but most of its accumulated N was in the vegetative components. For both varieties, N supply was more critical before heading than thereafter. Compared with the control, restriction of N supply from seedling to flag leaf stage significantly reduced spikelet number (28%) and grain yield (26%). Withholding N supply until heading reduced yield by up to 65% and N uptake by 75%. No yield reduction occurred when N was withheld from flag leaf or heading to PM. Although naked VAO‐2 accumulated more N than Prescott under the same conditions, partitioning of N to the grain in VAO‐2 was less efficient.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.839
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.281
Teacher spread0.256 · 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 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

Citations19
Published2009
Admission routes1
Has abstractyes

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