Forage Production and Bromatological Composition of Forage Species Intercropped With Soybean
Why this work is in the frame
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Bibliographic record
Abstract
Brazil is one the largest soybean and cattle producer worldwide and degrade pasture is one of the major problem in the Cerrado region. Integrated crop-livestock system is a key to increase grower income, to reduce crop yield loss by water deficit during growing season and to reclaim degraded pasture. However, forage production and its quality is important to evaluate under integrated crop-livestock system. The objective of this study was to evaluate forage production and the bromatological composition of different forage species in monoculture and in intercropping with soybean in an oversowing system. A completely randomized block design with four replications in a 5 × 2 + 1 factorial scheme, with five forage species (Urochloa brizantha cv. Marandu; U. ruziziensis; P. maximus cv. Mombaça; P. infestans cv. Massai and P. americanum) and two cropping systems (monoculture and a consortium with soybeans) and a standard treatment (P. americanum in succession with soybeans). The forage productivity and the bromatological composition of the forages were evaluated. The species U. ruziziensis, U. brizantha, M. maximum and P. infestans presented higher forage production capacity, when cultivated in consortium with soybeans and in monoculture, in relation to P. americanum. The cultivation of the forages U. ruziziensis, U. brizantha, M. maximum and P. americanum in monoculture produced higher productivity than that in consortium with soybeans. The forages U. ruziziensis and U. brizantha intercropped with soybean presented a better nutritional value over the autumn-winter period.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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