INDIRECT SELECTION OF FEMALE TROUT AS A SELECTION METHOD TO INCREASE THEIR PRODUCTIVITY AND RESISTANCE
Bibliographic record
Abstract
The scientific work considers the selection method of selection in a herd of producers of rainbow trout Kamloops, taking into account values of positive correlation of some morphometric characteristics and degree of development of their reproductive products, as well as the features of natural protective functions of their body at the age of three. It is established that the somatic structure and, development of postorbital region largely determine the functional features of trout, as well as their reproductive qualities. In the indirect selection of three-year-old breeders, taking into account morphometry and correlation, females with a size of postorbital head region greater than 55 mm exceeded by 29.2% the live weight and by 40.4% the weight of trout caviar with a length of this head region less than 55 mm. When comparing the resistance of two experimental groups of three-year-old breeder flock, certain differences in immune proteins and hemoglobin content in blood were revealed. Note that in the selected group of fish, a large degree of saturation of red blood cells with hemoglobin is observed, which indicates increased share of oxygen absorption by the body, as well as the intensity of redox processes of metabolism. Indicators of serum proteins of trout in experimental groups vary ambiguously. So in the experimental group, producers had an average total protein in blood of 63.26 g / l, which is significantly 17.5% more than in the blood of fish in the control group. This can be explained by the relationship of the globulins with the immune status of fish of experimental group and its resistance by raising the level of globulin fraction, a high amount of Ig M` protein (by 42.9%) in the blood of trout in the experimental group suggests more aggressive immune system in these fish to viral, invasive and other infections, indicating improved adaptability of selected herds.
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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 | 0.001 |
| 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) | 0.000 | 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".