Diversidad forrajera tropical 1: Selección y uso de leñosas forrajeras en sistemas de alimentación ganadera para zonas secas de Nicaragua
Bibliographic record
Abstract
Se evaluaron diez especies con potencial forrajero para zonas secas de Rivas, Nicaragua con el fin de integrarlas en el diseno de sistemas silvopastoriles como estrategias de alimentacion bovina. Las especies evaluadas fueron leguminosas sin espinas (Albizia niopoides, Gliricidia sepium, Leucaena leucocephala, Samanea saman); leguminosas con espinas (Acacia farnesiana, Mimosa pigra); lenosas no leguminosas (Moringa oleifera, Brosimun alicastrum, Cordia dentata y Guazuma ulmifolia). Se utilizo forraje de ramas delgadas menores a 1,0 cm de diametro de diferentes individuos seleccionados de cada especie lenosa. El forraje se ofrecio, mediante el metodo de cafeteria, a cinco vacas en produccion con similares caracteristicas de raza, peso, edad, sexo y estado de lactancia. Se evaluo la preferencia, el tiempo de consumo de cada lenosa y el numero y tamano de bocados por especie; el consumo se obtuvo por diferencia entre la cantidad de forraje ofrecido y restante. Los resultados reflejan una mayor preferencia y consumo de forraje de tres especies (S. saman, L. leucocephala y A. niopoides) que presentan diferencias fisicas, nutricionales y fenologicas en relacion con las demas. Estas especies representan las mejores opciones para el diseno de sistemas silvopastoriles en el tropico seco nicaraguense.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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; both teacher heads agree on what is shown here.
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".