Effect of Ecologic Environment on Economic Traits and the Differentiation of Subspecies Traits in F_2 Generation of Cross between Indica and Japonica
Bibliographic record
Abstract
The purpose of this research was to reveal the rules of subspecies characteristics between Japonica and Indica,economic traits and the relationship between the both by using the F2 generation of crossing between Qishanzhan(Indica) and Akihikari(Japonica),which planted in Guangdong Province and Liaoning Province separately.The results showed that the subspecies characteristics of the F2 group,planted in Liaoning and Guangdong province,separately appeared the normal distribution,which indicated the function of genetic recombination played a leading role.Simultaneously,there was prominent affection on the differentiation of Japonica and Indica by environment in reproductive growing stage of rice.And showed that there was a significant differentiation in economic traits,and the appearance in Liaoning was better than which in Guangdong on economic traits for panicle number,kilograin weight and characteristics of primary panicle branches.But things were different on yield,spikelet number and seed setting rate which on Japonica type and Japonica-clinous type were higher in Liaoning and on Indica type and Indica-clinous type were higher in Guangdong,which probably resulted from Ecological adaptation.Simultaneously,the aboved results had also been validated by Relationship Analysis.Furthermore,the article also elaborates some relational questions about made a further research on the differentiation between Japonica and Indica.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".