Effects of 30% Diethyl-Amino-Ethyle-Hexanoate·Ethephon Aqueous Solution on Physiological Activities of Maize Roots
Bibliographic record
Abstract
Roots is a vital part of the maize plant,however few of the research for practically regulating root function has been reported.In this study,the effects of a new mixture formulation of plant growth regulators registered in China,30% diethyl-amino-ethyle-hexanoate·ethephon aqueous solution(30% DE),on maize(Zea may L.cv.Nongda3138) were measured and evaluated in the cultivated condition of field and PVP-tubes.The physiological activities of roots were improved by foliage spray of 30%DE at the 6-leaves-expended stage of maize.The dry weight of roots,especially for the 8th layer of roots,was increased significantly by 30% DE.The roots activities of the 1st-4th and the 7th-8th layers were promoted at silking and filling stage,and the activities of invertase in the 1st-4th layer roots were higher than that in control.()~(15)N tracing experiment showed that nitrogen accumulation in the whole plant and the()~(15)N distribution in ears and roots was enhanced by 30% DE.The volume of root bleeding sap collected from the 1st internode of basal stem the content of total amino acids in bleeding sap were both increased.The contents of plant hormones(auxins,cytokinins,gibberellins and abscisic acid) in maize roots and root bleeding sap were also changed respectively by the foliage treatment of 30% DE.Cytokinins contents in root bleeding sap were increased remarkably,indicating the promoted transport of cytokinins from roots to shoots through xylem by 30% DE.The grain yield was increased by 11.7% and the yield components were also improved. 30% DE was proved to be a practical formulation of plant growth regulator for the improvements in grain productivity and physiological activities of roots mainly through the hormonal system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".