Characterization of Oil Yield and Quality in Shatter-Resistant Dwarf Sesame Produced in Virginia, USA
Bibliographic record
Abstract
Sesame has potential as an alternative crop for former tobacco farmers in eastern USA to increase agricultural diversification and enhance farm incomes. Oil yield and quality of five shatter-resistant and dwarf sesame cultivars when grown using rows 37.5 cm or 75 cm apart were evaluated. Sesame was planted on 23 May and 8 Jun. (PT1) during 2011 and on 17 and 9 Jul. (PT2) during 2012. Early planting (Late May to early June) resulted in 716.6 kg oil/ha as compared to 479.6 kg oil/ha from late planting (early June to mid-July). The closer row spacing of 37.5 cm out-yielded the wider row spacing of 75 cm by about 34% for oil yield. Early planting increased the contents of C16:0, C20:0, C18:1, and C20:1 fatty acids whereas late planting increased the contents of C18:2 and C18:3 fatty acids. Contents of total saturated fatty acids and mono-unsaturated fatty acids were also greater after early planting as compared to those after late plantings. Closer row spacing of 37.5 cm resulted in significantly higher contents of C20:1 and saturated fatty acids in the oil as compared to the wider row spacing of 75 cm. Sesame seed produced in Virginia contained 6.8% more oil than that produced in Texas (45. 5 vs. 42.6%, respectively). The results indicated that sesame could be produced in the mid-Atlantic region of USA.
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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) | 0.000 | 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 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".