Tiller Characteristics of Timothy and Tall Fescue in Relation to Herbage Mass Accumulation
Bibliographic record
Abstract
ABSTRACT Herbage dry matter (DM) yield of grasses is a function of the density and size of vegetative (VEG), generative (GEN), and elongating vegetative (ELONG) tillers. We determined the contribution of these three tiller types to DM yield accumulation along with their main morphological characteristics on three sampling dates during each of the primary growth and the regrowth of field‐grown swards of timothy ( Phleum pratense L.) and tall fescue ( Festuca arundinacea Schreb.). Our results provide the first quantitative characterization of ELONG tillers, which contributed to timothy DM yield by up to 28% in primary growth and 58% in regrowth. In tall fescue, VEG tillers were dominant in primary growth and regrowth (74 to 100% of DM yield). The GEN tillers were dominant (67 to 74% of DM yield) in the primary growth of timothy while in the regrowth, VEG tillers were dominant early (84% of DM yield) but ELONG tillers represented 58% of DM yield later on. Timothy and tall fescue had similar rates of DM accumulation. The greater DM yield on all sampling times of the regrowth of tall fescue confirms a greater growth before the first sampling, most likely due to the greater proportion of VEG tillers. The GEN tillers were large with low leaf to weight ratio (LWR) and proportion of attached senesced material whereas VEG tillers were small with high LWR and large proportion of attached senesced material. The ELONG tillers were intermediate in size and LWR but they had a low proportion of attached senesced material.
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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 | 0.000 | 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 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".