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Record W7070372686

Plant density tolerance in maize (Zea mays L.): Possible underlying physiological mechanisms

2011· dissertation· en· W7070372686 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2011
Typedissertation
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHybridDry matterPlant densityShootGrain yieldYield (engineering)Zea mays
DOInot available

Abstract

fetched live from OpenAlex

Maize ('Zea mays' L.) grain yield (GY) and density tolerance (DT) have increased during the last decades; yet plant yield potential (pYP) remains unchanged. In a first study, DT and root to shoot ratio (R:S) were investigated in hybrids representing different eras of genetic improvement in Ontario. Additionally, the DT-pYP association was explored in a set of experimental hybrids exhibiting the different trait combinations. The DT in modern era hybrids was explained mostly by maintenance of harvest index (HI). Increased dry matter accumulation (DMA) from silking to maturity and reduced plant to plant variability also contributed to DT. The R:S increased in modern genotypes but this effect disappeared under shading. In the experimental hybrids the pYP was associated with both DMA and HI under low density stress. For both studies reduced barrenness (stable HI) rather than high pYP was the main contributor to DT.

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 integrity0.0000.000
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 head0.038
GPT teacher head0.242
Teacher spread0.204 · 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

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