Effect of sowing time on fibre yield and chemical composition of flax genotypes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Flax is an important industrial crop known for its high-quality fibres and various applications in textiles, composites, pulp and paper, and other industries. This study investigates the impact of sowing time and phenological stages on fibre yield and chemical composition of different flax genotypes. Four genotypes: BARI Tishi-1, BD-10708, Canada and China were grown under various sowing times, and fibre yield, cellulose, lignin, hemicellulose and extractives were evaluated. Sowing on November 16 produced the highest fibre yield, with early sowing leading to reduced yield. Analysis of chemical composition at flowering and post-flowering stages revealed significant variation in cellulose, lignin, hemicellulose, and extractive contents across genotypes. BARI Tishi-1 and China demonstrated high and stable α-cellulose levels, particularly in later plantings and post-flowering stages. However, Canada had high extractive and hemicellulose contents. The findings underscore the importance of optimizing sowing time to maximize fibre yield and quality, which is essential for meeting industrial standards and improving the economic value of flax. Bangladesh J. Sci. Ind. Res. 60(1), 45-52, 2025
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it