MétaCan
Menu
Back to cohort
Record W2361385409

Analysis on Combining Ability of Major Quality Characters in Three-line Indica Hybrid Rice of South China

2008· article· en· W2361385409 on OpenAlexvenueno aff
Guo Jian-fu

Bibliographic record

VenueSeed · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsnot available
Fundersnot available
KeywordsBiotechnologyBiologyQuality (philosophy)ChinaSelection (genetic algorithm)Line (geometry)HorticultureMathematicsComputer scienceArtificial intelligenceGeography
DOInot available

Abstract

fetched live from OpenAlex

Twelve widely utilized indica parents of north China,including 6 sterile lines and 6 restorer lines,were chose to analyze the combining ability of 12 quality characters by the way of NCⅡ mating design.The results showed that both general combining ability(GCA) and specific combining ability(SCA) of all the quality characters determined were significant at 5% or 1% level.It meant that all characters were both affected by the additive effects and non-additive effects,and the former were more important than the latter.The GCA and SCA effect were independent each other,which suggests that it is essential to make widely testcrosses in the selection of hybrid combinations.Based on the GCA effect and SCA variances of the parents,sterile lines Shuangqing A,Wanjin A,Bo A and Ⅱ-32 A and restorer lines Guanghui 998,gui 99 and HR 15 were recommendable at the major quality characters.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.044
GPT teacher head0.286
Teacher spread0.241 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueSeedSame topicGABA and Rice ResearchFrench-language works237,207