ПОКАЗАТЕЛИ ПРОДУКТИВНОСТИ И АМИНОКИСЛОТНЫЙ СОСТАВ МОЛОКА ДОЧЕРЕЙ БЫКОВ РАЗЛИЧНОЙ СЕЛЕКЦИИ
Bibliographic record
Abstract
Приведены данные молочной продуктивности и аминокислотного состава молока дочерей быков голштинской породы различной селекции. Для изучения продуктивности и аминокислотного состава молока было сформировано четыре группы коров дочерей быков голштинской породы. В 1-ю группу вошли животные голландской селекции, во 2-ю – датской, в 3-ю – канадской и в 4-ю – российской. Аминокислотный состав белков молока определяли на анализаторе Т-339. Самая высокая молочность оказалась у дочерей быков канадской селекции, самая низкая – у дочерей быков российской селекции, разница составила 623 кг (Р≥0,95). Разница между потомством быков российской и голландской селекции составила 461 кг и между потомством быков российской и датской – 275 кг при недостоверной разнице. Высоким содержанием белка в молоке (3,49 %) отличаются дочери быков голландской селекции, превосходя своих сверстниц по этому показателю на 0,08; 0,15 и 0,22 %. От дочерей быков канадской селекции получили самые низкие показатели по белку – 3,27 %. Среднее содержания белка в молоке коров в период определения аминокислотного состава (4-5-й месяц лактации) колебалось от 3,34 до 3,60 %. Благодаря большему содержанию в молоке коров голландской селекции незаменимых (лейцин, лизин, валин) и заменимых аминокислот (глутаминовая кислота, пролин, аланин и тирозин), они достоверно превосходят своих канадских и российских аналогов по сумме всех аминокислот на 0,25-0,29 (Р≥0,95). Наивысшую биологическую ценность молочного белка имеют коровы голландской селекции (I = 0,870 и I1 = 0,465), далее расположились коровы российской селекции, биологическая ценность молочного белка у них составила (I = 0,866 и I1 = 0,464), далее датской селекции (I = 0,856 и I1 = 0,461) и канадской (I = 0,813 и I1 = 0,448) селекции. he article presents data on the milk productivity and amino acid content of the milk of daughters of Holstein bulls of various breeding. To study the productivity and amino acid composition of milk, four groups of cows of daughters of Holstein bulls of various breeding were formed. Group 1 included animals of Dutch breeding, group 2 – Danish, group 3 – Canadian and group 4 – Russian breeding. The amino acid content of milk proteins was determined on a T-339 analyzer. The highest milking capacity was found in the daughters of Canadian-bred bulls, the lowest – in the daughters of Russian-bred bulls, the difference was 623 kg (P≥0.95). The difference between the offspring of Russian and Dutch bulls was 461 kg and between the offspring of bulls of Russian and Danish breeding – 275 kg with an insignificant difference. The daughters of Dutch-bred bulls are distinguished by a high protein content in milk (3.49 %), surpassing their herd mates in this indicator by 0.08, 0.15 and 0.22 %. The daughters of Canadian-bred bulls received the lowest protein values of 3.27 %. The average protein content in cow's milk during the period of determining the amino acid composition (4-5 months of lactation) ranged from 3.34 to 3.60 %. Due to the higher content of essential amino acids (leucine, lysine, and valine) and nonessential amino acids (glutamic acid, proline, alanine, and tyrosine) in the milk of Dutch-bred cows, they significantly exceed the cows of Canadian and Russian breeding in terms of the total amino acids by 0.25-0.29 (P≥0.95). Dutch-bred cows have the highest biological value of milk protein (I=0.870 and I1=0.465), followed by Russian-bred cows with biological value of milk protein (I=0.866 and I1=0.464), further followed by Danish-bred cows (I=0.856 and I1=0.461) and Canadian-bred cows (I=0.813 and I1=0.448).
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.010 |
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".