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Record W2369788090

Analysis on Variation of Agronomic Traits of Progenies of Winter Wheat Lantian No.17 Induced by Space Environment

2012· article· en· W2369788090 on OpenAlexvenueno aff
Xie De-qing

Bibliographic record

VenueSeed · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Soil, Plant Science
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyMutantMutation breedingSignificant differenceSelection (genetic algorithm)Winter wheatHorticultureOffspringAgronomyBotanyGeneticsGene
DOInot available

Abstract

fetched live from OpenAlex

Using the pedigree method,variation of agronomic traits of progenies of winter wheat Lantian No.17 induced by space environment.SP 1strains,SP 2 group and SP 2 significantly mutant lines and suspected mutant offspring performance were studied.The results showed that two height mutants,D 16 and D 38,were found in its SP 1.SP 2 of D 38 showed the character separation in the height and main spike length.There was no significant difference in plant height between SP 2 of D 16 and control,while a significant difference in plant height occurred between SP 3 of D 16 and control.Progeny of mutant D 38 from SP 2 showed genetically stable in SP 3 or SP 4 after individual selection.There was a significant mutation in wheat progeny,such as height,spike length,spike and grain morphological traits,after space mutation.Mutants can occur in SP 1,SP 2,or their progenies,which can become genetically stable after 2-3 generation of individual selection.Thus mutation of wheat progeny characters via space mutagenesis also meets the basic law of crops breeding.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.011
GPT teacher head0.186
Teacher spread0.175 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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