Yield and seed composition of 10 spring camelina genotypes cultivated in the temperate climate of Central Europe
Bibliographic record
Abstract
Camelina (Camelina sativa (L.) Crantz) is an oilseed crop of the family Brassicaceae. In the past, camelina was used mainly in food production. However, the species also has numerous industrial applications. The aim of this study was to determine the agronomic performance (seed, straw and oil yield) and the qualitative parameters (oil and protein content, fatty acid composition) of 10 spring camelina genotypes. The experiment was conducted from 2015 to 2018 in north-eastern Poland. The phenological phases, seed and biomass yield, and the composition of spring camelina seeds, including oil and protein content and fatty acid composition, were determined. The cumulative growing degree days from sowing to maturity for all genotypes were determined at 1200 °C d. Seed yield ranged from 1.70 Mg ha−1 dry matter (d.m.) in genotype 787-15 to 2.21 Mg ha−1 d.m. in genotype 887. Seed oil content was determined at 39.3–42.2% d.m. Oil yield was high in genotype 787-15 (0.93 Mg ha−1) and low in genotype 887 (0.69 Mg ha−1). Three main genotype groups were identified during the study. The first group was characterized by a high content of monounsaturated fatty acids (MUFAs) and a low content of polyunsaturated fatty acids (PUFAs). These genotypes were abundant in linolenic acid. The second group was composed of genotypes with a high content of PUFAs and a low content of MUFAs and saturated fatty acids (SFAs). These genotypes were characterized by high oil yields and a high content of linoleic acid. The third group was characterized by a high content of SFAs, a high content of PUFAs and a low content of MUFAs. The tested spring camelina genotypes had a high yield potential (in particular genotypes 787-15, 787-08 and 787-05) and were good candidates for commercial cultivation in the temperate climate of Central Europe. Genotype 887 cannot be recommended for cultivation due to its low seed yield, low oil content and low oil yield.
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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 | 0.001 | 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) | 0.001 | 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".