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Record W2365141658

Yield formation and physiological characters of different types with high-yield wheat cultivars

2003· article· en· W2365141658 on OpenAlexaff
Yi Feng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsCultivarYield (engineering)PhotosynthesisBiologyGenotypeAgronomySpike (software development)Grain yieldHorticultureBotanyMaterials scienceGene
DOInot available

Abstract

fetched live from OpenAlex

The research was carried out on the yield formation and physiological characters of high yield wheat by using 9 wheat cultivars with three types such as multi-spike genotype., middle-spike genotype and large-spike genotype as test materials. The results indicated that in Guanzhong region cultivars with three types all could gain high yield,but middle-spike genotype and large-spike genotype had more potential than the multi-spike genotype. Comparing with bumper yield cultivars, high-yield cultivars had obvious superiorities in LAI, chlorophll content, net photosynthesis rate and MDA content of flag leaves during filling period. The main physiological reasons of high grain yield were of having longer leaf function sustain period,higher net photosynthesis rate but slower descent spead of Pn in filling stage.

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 categoriesInsufficient payload (model declined to judge)
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 score0.758
Threshold uncertainty score1.000

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)0.0010.000

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 head0.013
GPT teacher head0.173
Teacher spread0.160 · 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.

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

Citations0
Published2003
Admission routes1
Has abstractyes

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