Sustainability of Forage Systems in Small Holder Dairy Cattle in The Plateau in East Java
Bibliographic record
Abstract
Abstract. This study aimed to describe the sustainability of forage system in the small holder dairy cattle in the plateau in East Java, in particular related to the nutrient content. The method used was survey (interviews, questionnaires, field observations and sampling) at the cooperation unit, farmers, livestock and farming location in one of the areas of dairy cattle cooperation in the plateau (Cooperation of SAE Pujon-Malang). The data obtained were analyzed through descriptive and regression statistics. The results showed that forage system dominantly given during dry and rainy seasons are elephant grass and corn stalks. Linear regression equation for the nutrient content of elephant grass is TDN= 40.516 + 1.404 CP, while corn trees is TDN= 56.212 + 0.740 CP. The conclusion showed that the dependent variable is largely influenced by external factors (environment). Improved continuity of availability of forage can be done by increasing the feeding system in the region (plateau) as well as the support from outside the region. Key words: plateau, dairy cattle, forage Abstrak. Penelitian ini bertujuan untuk mendiskripsikan keberlanjutan sistem pakan hijauan pada peternakan sapi perah rakyat di wilayah dataran tinggi di Jawa Timur, khususnya tentang kandungan nutrisi. Metode yang digunakan adalah survei (wawancara, pengisian angket/kuesioner, observasi, dan pengambilan sampel) di koperasi, petani ternak dan lokasi peternakan di salah satu wilayah koperasi persusuan di dataran tinggi (Koperasi SAE Pujon-Malang). Data yang didapat dianalisis dengan regresi dan statistik diskriptif. Hasil penelitian menunjukkan bahwa pakan hijaun yang dominan di musim kemarau dan hujan adalah rumput gajah dan tebon jagung. Persamaan regresi linier untuk kandungan nutrisi rumput gajah adalah TDN= 40,516 + 1,404 PK, sedangkan tebon jagung adalah TDN= 56,212 + 0,740 PK. Kesimpulannya adalah variabel dependen sebagian besar dipengaruhi oleh faktor luar (lingkungan). Peningkatan kontinuitas ketersediaan pakan hijauan dapat dilakukan dengan peningkatan sistem pakan di wilayah (dataran tinggi) dan dukungan sistem pakan dari luar wilayah. Kata kunci: dataran tinggi, sapi perah, pakan hijauan
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".