Study on Stability of Grain Yield Sunflower Cultivars by AMMI and GGE bi Plot in Iran
Bibliographic record
Abstract
Determine the stability of sunflower seed yield, an experiment in a randomized complete block design with 4 replications of four research stations, including Isfahan, Birjand, Sari and Karaj. Analysis of the data showed that there is considerable variation in terms of grain yield. The results showed that the coefficient of variation for grain yield Nkarmoni and Brocar cultivars are biological stability and a high degree of flexibility. Terra, Vidoc and Alisson Cultivars were stable respectively, according to the minimum variance Shukla, among varieties for grain yield. Based on the regression coefficient Fabiola and Arena Cultivars were average yield stability and adaptation Suitable. According to the graph AMMI1 of the function and stability Nkarmoni was higher than the other varieties. AMMI2 figures in the chart Euroflor, Alisson, Mas96a and Fabiola in Birjand place were identified yield stable part numbers and locations. GGE biplot method on grain yield was studied areas were divided into mega- environments, First mega- environments were included Isfahan and Sari places and second mega- environments were Birjand and Karaj places in terms of yield, Isfahan, Karaj and Birjand were varieties best.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".