Effects of harvest time across maturity stages and within a day on the nutritive value in the first crop of timothy (<i>Phleum pratense</i> L.)
Bibliographic record
Abstract
Abstract Timothy (Phleum pratense L.) is the most important perennial forage grass grown in parts of Canada, USA, the Nordic countries of Europe and Hokkaido, Japan. Improvement of its nutritive value through breeding should result in enhanced livestock productivity. The objective of the present study was to investigate the magnitude of genotype × maturity stage interaction (G × M), genotype × harvest time on sunny day interaction (G × TS) and genotype × harvest time on cloudy day interaction (G × TC) for the nutritive value of the first crop of timothy. Fifteen early‐maturing clones of timothy were used to evaluate G × M and 13 clones were used to evaluate G × TS and TC in Kunneppu, Hokkaido in 2005 by analyzing the nutritive value of the first crops using near‐infrared reflectance spectroscopy. Contents of low‐digestible fiber (Ob) and water‐soluble carbohydrate and the ratio of Ob to organic cell wall measured at early heading significantly correlated with their measurements at full heading stage, with non‐significant effects of G × M. These traits also showed a significant correlation between morning and evening in both sunny and cloudy weather conditions, with non‐significant effects of G × TS and TC. We conclude that the relative ranking of genotypes at different maturity stages from early to full heading stage and at different times within a day should be consistent for the required traits, and that selection for these traits at any stage of heading and any time of day should permit effective improvement of the nutritive value of timothy only if the plants are harvested at about the same time (within 1 h).
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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) | 0.001 | 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".