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Record W2139308968 · doi:10.35792/zot.35.2.2015.9274

KAPASITAS TAMPUNG HIJAUAN PAKAN DALAM AREAL PERKEBUNAN KOPI DAN PADANG RUMPUT ALAM DI KABUPATEN FLORES TIMUR NUSA TENGGARA TIMUR

2015· article· en· W2139308968 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZOOTEC · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Development and Management
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsForagePastureLivestockDry matterGrazingFodderGeographyAgronomyForestryAgroforestryAnimal scienceBiology

Abstract

fetched live from OpenAlex

ABSTRACT CARRYING CAPACITY OF FORAGE IN COFFEE FARM AND NATIVE PASTURE AREA AT DISTRICT OF FLORES TIMUR, EAST NUSA TENGGARA. Research was conducted at coffee farm and native pasture area with the objective to measure the production and quality of forage. The research method used was survey method. Primary data were collected at Sub-district of Wulanggitang - District of Flores Timur, particularly in the coffee farm and the native pasture areas. Primary data consisted of production and quality of the native grasses including land fertility -both physical and chemical - in the coffee farm area. On the other hand, secondary data were taken from related institutions cover climate condition and topography. The result showed that potency of forage resources in the Sub-District of Wulanggitang reach 7,664 ton fresh matter/ha for the coffee farm and 6.98 ton fresh matter/ha for the native grasses, respectively. The total production may figure carrying capacity of the coffee farm area is 0.42 UT/ha and 0.38 ST/ha of the native grasses, respectively. In addition, the topography of Wulanggitang Sub-district was about 0 % - > 40 %. Moreover, chemical composition of the forages, mainly crude protein, was 6.95 % in the coffee farm area and 6.65 % in the native pasture area, respectively. It was found that the forages crude protein was very high and available over the livestock minimum needed. Composition of the crude protein was high since the forages are relatively young due to high rainy distribution in a few weeks before taking the sample. However, although the crude composition of the forages in the coffee farm - both quantitatively and qualitatively- was higher than that of the native pasture, its function to support the feed resources was not significant. In conclusion, the potency of the forage resources in those two areas was not support the livestock development especially beef cattle farm at the Sub-district of Wulanggitang when it depends only on the forages of these two areas. Key words: Forage quality, Stocking rate, Coffee farm, Native pasture, Carrying capacity

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.203
Teacher spread0.174 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it