Studies on the Effect of Planting in Different Places on the Major Characters of the Micro-endosperm Maize
Bibliographic record
Abstract
16 Micro-endosperm maize(MEM) cross combinations were planted separately in Guangxi Nanning and Shanxi Pingyao,the major agronomic characters and yield characters were observed,the broad sense heritability was estimated.The results were as following:(1)The days to tassel,days to pollen,days to silk and plant height and ear height were higher in Shanxi Pingyao than in Guangxi Nanning.The ear length,kernel weight per ear and 100-kernel weight were higher in Guangxi Nanning than in Shanxi Pingyao.The ear diameter was different from different cross combinations.(2)The days to tassel,days to pollen,days to silk,ear length and 100-kernel weight,the difference of the broad sense heritability in two locations was high.And the plant height,ear diameter,kernel weight per ear and 100-kernel weight,the broad sense heritability by combining variance analysis was higher than that of single variance analysis.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".