Effect of Oversowing and Fertilization on Species Composition, Yield and Nutritional Quality of Forages on a Permanent Wet Meadow
Bibliographic record
Abstract
The improvement of forage production and nutrition quality on native grasslands through plant species oversowing and fertilization (legumes in particular, coupled with phosphorus fertilization) is known to have been widely adopted worldwide. Less is known about this practice on the wet grasslands of the French Atlantic littoral marshes. The purpose of this study, conducted over a 3-year period (2012-2014) on the Saint Laurent de la Prée research farm, was to investigate the effects on the yield and nutritional quality of forage hay on a permanent wet meadow, of oversowing with different plant species and fertilization. We found that the success of oversowing was influenced by species or mixtures, and depended on their ability to develop and persist in the cover. In general, oversowing tended to provide benefits in terms of the total annual forage yield in 2013, with a slight increase in forage quality in 2012 and 2013. Fertilization provided no real benefit in terms of forage quality. There was no persistence of introduced species in the sward, as in 2014 almost all of them disappeared. In the conditions of this study, the benefits of oversowing and fertilizer applications were limited and short-lived. These results are discussed in relation to the conservation value of these wet grasslands and the need to pursue research on agroecology for their biodiversity-oriented management.
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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 | 0.001 | 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 | 0.000 |
| 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".