Screening of different nitrogen rates and intra-row spacing effects on yield and yield components of safflower (<i>Carthamus tinctorius</i> L.) under microclimate conditions, Iğdır Plain, Turkey
Bibliographic record
Abstract
Eryiğit, T., Akiş, R. and Kaya, A. R. 2015. Screening of different nitrogen rates and intra-row spacing effects on yield and yield components of safflower (Carthamus tinctorius L.) under microclimate conditions, Iğdır Plain, Turkey. Can. J. Plant Sci. 95: 141–147. The yield of safflower (Carthamus tinctorius L.) is affected by many factors, among which nitrogen fertilization and plant density are significant. This study was conducted as a split plot in a randomized complete block design arrangement with four replications, during the successive seasons 2011 and 2012, to determine the effects of nitrogen application rate and intra-row spacing on the growth, yield and yield components of safflower under the ecological conditions of the Iğdır Plain, Turkey. The main plots were three intra-row spacing (IRS 1 , IRS 2 and IRS 3 ) and subplots were four nitrogen rates (N 1 , N 2 , N 3 and N 4 ). Intra-row spacing had significant effects on all parameters except plant height and seed oil content. There were significant effects of fertilizer rate on all parameters except seed oil content. The interaction of nitrogen rate and years had significant effects on seed yield. Correlations showed significant negative results between 1000-seed weight and seed oil content (−0.217). However, there was a high seed yield in 2011 compared with 2012. Among intra-rows, IRS 2 and IRS 3 gave greater yield compared with IRS 1 , while N 3 gave a higher yield than other N rates (0, 100, 150, 200 kg ha −1 ) in both years of the study, especially 2011.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".