Forage and Seed Production Potential, Nutritive Value, and Fatty Acid Profile of Fenugreek
Bibliographic record
Abstract
Fenugreek ( Trigonella foenum‐graecum L.) is a valuable specialty crop used both as an herb and as a spice. Fenugreek also has potential to be used as an animal feed. This study evaluated 13 entries of fenugreek in two locations in Wyoming (Laramie and Lingle) for forage accumulation, seed yield, nutritive value, and fatty acid profile. The study at Laramie was conducted under irrigated conditions, while that at Lingle was conducted on both irrigated and rain‐fed conditions. Forage accumulations of fenugreek entries grown under irrigated conditions were not different. Location × year interaction ( P = 0.003) influenced forage accumulation, with forage accumulation ranging from 870 kg ha −1 in 2010 at Laramie to 6720 kg ha −1 (2011) at this same location. Entry × year effects on forage accumulation were significant ( P < 0.05) under rain‐fed conditions. The entry (F96) produced greater forage accumulation than commercial fenugreek cultivars Amber and Tristar in 2 out of the 3 yr. Except crude protein (CP), acid detergent fiber (ADF), neutral detergent fiber (NDF), in vitro dry matter digestibility (IVDMD), and fatty acid profile were not different among fenugreek entries when grown under irrigation. Under rain‐fed conditions, entry × year interaction had a significant effect on CP ( P = 0.009) and IVDMD ( P = 0.0007). Seed yield differed among fenugreek entries when grown under irrigation, but the response was not consistent over the 3 yr. Overall, our results demonstrated the potential of fenugreek to diversify forage production in the central Great Plains of Wyoming.
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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 | 0.001 | 0.002 |
| 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".