Influence of Three Nitrogen Fertilization Schedules on Bermudagrass and Seashore Paspalum: II. Carbohydrates and Crude Protein in Stolons
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT In the transition zone, a primary concern in managing warm‐season turfgrasses is turf survival under low temperatures. The objectives of this study were to determine the effects of three N fertilization schedules on stolon carbohydrates and crude protein (CP) reserves of four bermudagrasses [ Cynodon dactylon (L.) Pers.] and a seashore paspalum ( Paspalum vaginatum Sw.). A field trial was performed at the agricultural experimental farm of Padova University (northeastern Italy). Bermudagrass cultivars Princess‐77, Riviera, SWI 1014, and Yukon and seashore paspalum ‘Sea Spray’ were compared under three N fertilization schedules: (i) 6.7 g N m –2 on 15 May, 15 June, and 15 August, (ii) 5 g N m –2 on 15 May, 15 June, 15 August, and 15 October, and (iii) 4 g N m –2 on 15 May, 15 June, 15 August, 15 September, and 15 October. Turf samples measuring 20 by 20 by 4 (depth) cm were collected monthly from September to April 2009 to 2010 and 2010 to 2011. The stolons were separated from the remainder of the samples and starch, water‐soluble carbohydrates (WSC), and CP were determined on a dry matter basis. The bermudagrass cultivar Riviera was characterized by high stolon density and showed highest carbohydrates (starch and WSC) content along with Yukon. Late‐season applications of N had limited influence on carbohydrates content but increased the concentrations of CP from November through April.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 it