Amino acid composition of muscle tissue pedicated and hybrid pigs under conditions continental climate of Russia
Bibliographic record
Abstract
Abstract. In 2011, the Iltyakov V. N. farm in the Chastozoozersky district of the Kurgan region (Russia) brought from Canada pure breeds of three breeds – Landrace, Duroc and Yorkshire. The aim of the research was a comprehensive assessment of the amino acid composition of the muscle tissue of purebred and hybrid young animals obtained in the conditions of the Kurgan region, and reflecting the process of adaptation of pigs imported from Canada to new climatic and technological factors. The scientific novelty of the research was that for the first time in the conditions of the Kurgan region, the adaptation of Canadian selection pigs to new climatic and technological factors was studied by studying the amino acid composition of their longest back muscle. Methods: The amino acid composition of the longest muscle of the back was determined on an LC-20 Prominence instrument (Shimadzu, Japan) according to the method M-02-902-142-07 „Method for measuring the mass fraction of amino acids by high-performance liquid chromatography“. The results indicate that three-breed hybrids exceeded their analogues in the amount of interchangeable amino acids in muscle tissue samples (13.577 %) by 0.496 and 0.031 %, respectively. A similar pattern was revealed by the sum of essential amino acids. Their advantage was noted in the samples of muscle tissue of three-breed hybrids (8.984 %), which is 0.364 and 0.111 % more than pure-breed landrace and two-breed hybrids, respectively. In the sum of essential amino acids, regardless of the breed of young animals, aspartic acid (1.964–2.273 %) and glutamine (3.011–3.459 %) are present in the largest amount in muscle samples. The amino acid index and the protein-quality indicator of muscle tissue of three-breed hybrids are 0.27 and 33.55 % (P ≤ 0.05) more than pure-breed landrace and 0.67 and 53.33 % compared with two-breed hybrids, respectively.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 teacher head, 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".