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Record W21949126 · doi:10.1074/jbc.m111.259440

Performa Produksi dan Kualitas Susu Sapi FH pada Laktasi, Waktu Pemerahan dan Genotipe Kappa Kasein (κ -Kasein) Berbeda Di Lembang Bandung

2010· article· en· W21949126 on OpenAlexfundno aff
Fauzi Firmansyah

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood and Agricultural Sciences
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health Research
KeywordsMilkingLactationMorningAnimal scienceMilk productionEveningBiologyCompletely randomized designPregnancyBotany

Abstract

fetched live from OpenAlex

Production and Milk Quality Performance of FH Cattle on Lactation, Milking Time and Different Genotype of Kappa Casein (κ-casein) in Lembang Bandung. Firmansyah, F., R. R.A. Maheswari and C. Sumantri Milk is a natural food, produced by dairy cattle. Holstein Friesian (HF) cow is one of the milk-producing animals. HF cows has been long maintained and adapted to the tropical climate in Indonesia. This research aims to study the effects of differences in lactation and milking time on the production performance and quality of HF cow's milk in the Cilumber village and Pasar Kemis Lembang Bandung. Milk samples used in this study obtained from 117 cows with a distance of adjacent months of lactation. Each individual is milking as much as two times morning and afternoon. Milk samples obtained from two locations namely Cilumber village (57 cows) and Pasar Kemis (60 cows). The data consists κ-casein genotype.It obtained from blood sampling data and the data of individual cows. Individual data include identification numbers of cows and cow lactation data. Other data obtained were compositional data content of the nutritional value of feed concentrate given as. The design of this study using Balance-Completely Factorial Randomized Design. The first factor was the time of milking morning and evening milking, the second factor was the different lactation. Differences of lactation and milking time was affecting milk production in the Cilumber village but analysis showed milk production in the Pasar Kemis not influenced lactation differences. Production of milk in the morning tends to be higher than in the afternoon, while the quality of milk in the afternoon is better than quality in the morning because there is a correlation between the production of milk with dry ingredients and fat ingredients. The increase in milk production resulted in a decrease dry ingredients and milk fat levels. Cows with genotype BB κ–kasein produce milk protein level tended to be higher than genotyipe AA and AB.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.016

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 head0.013
GPT teacher head0.212
Teacher spread0.199 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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