Effects of Selected Plant Growth Regulators on Bread Wheat Spike Development
Bibliographic record
Abstract
Although the grain yield of wheat is finally determined after anthesis, the yield potential is largely dependent on early growth and development. At the specific stage from double ridge to terminal spikelet, spikelet initiation occurs and can affect the number of grains per spike and the grain yield. A factorial experiment using a randomized complete blocks design with six replicates was used to study the effect of three growth regulators (3‑indoleacetic acid [IAA], gibberellic acid [GA3], and 6‑benzylaminopurine [6‑BAP]) on two bread wheat (Triticum aestivum L.) cultivars (Rijaw and Azar‑2), at the Campus of Agriculture and Natural Resources of Razi University, in Kermanshah, Iran, during the 2013–2014 and 2014–2015 cropping seasons. The effect of the hormones was not significant for spikelet initiation number or spikelet initiation rate based on days and growing degree days (GDDs), but apical meristem length and rate of elongation of the apical meristem were affected by exogenous application of hormones in both years. The Rijaw genotype was better than Azar‑2 with respect to apical meristem traits. As well, biplot diagrams showed that the treatment combination 6‑BAP × Rijaw was the best in terms of shoot apex length and rate of shoot apex elongation and that the treatment combination GA3×Rijaw was the best in terms of spikelet number and rate of spikelet initiation. It is concluded that each hormone can improve specific apical meristem characteristics and that the rate of each hormone’s effect depends on the plant’s genetic feature and on the environmental conditions.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".