INFLUENCE OF POLYMORPHIC GENES ON QUALITATIVE INDICATORS OF MEAT PRODUCTS
Bibliographic record
Abstract
Проблема и цель. Целью данной работы являлось генотипирование животных по генам CAST и CAPN1 c выявлением частот генотипов и аллелей, а также тестирование продукции этих животных, выраженное в оценке выдержанного в течение 8 суток мяса, на показатели, составляющие нежность, сочность, органолептическую оценку вкуса. Методология. Объектом исследований являлись бычки кроссов брединского мясного типа симменталов, полученные от использования выдающихся быков-производителей канадских мясных симменталов на отечественных матках различных линий. Для осуществления полимеразной цепной реакции (ПЦР) по тиражированию участка генома, составляющего ген CAPN1316 и ген CAST2857, использовались праймеры, найденные в открытой печати и синтезированные в фирме «Синтол». Проводилась оценка мяса на нежность (сопротивление усилию на разрез прибором Уорнера-Братцлера + органолептическая оценка варёного и жареного мяса), сочность (p/h, с использованием прокалывающего электрода LoT406-M6-DXK-S7/25 + влагоудерживающая способность). Результаты. В результате показатели мяса бычков, имеющих сочетание генотипов TT* по CAST и СС* по CAPN1, имели превосходство над средними показателями общей выборки (P< 0,001); а также над имеющей наибольшее распространение в выборке группой животных с желательным генотипом СС по гену CAPN1 на 1,22 балла или 15,4 % (P< 0,01) по нежности; на 1,44 балла или 18,2 % (P< 0,05) по сочности; на 1,56 балла или 19,2 % (P< 0,001) по вкусу. Заключение. Таким образом, исследования подтвердили влияние полиморфного состояния гомозиготы СС гена CAPN1 само по себе, а также генов CAST и CAPN1 на нежность говядины в той её части, когда сочетание генотипов ТТ в гене CAST и СС в гене CAPN1 даёт положительный эффект по нежности говядины, вероятно связанный с активизацией деятельности μ-кальпаина в связи с ослаблением влияния кальпастатина как ингибитора на μ-кальпаин. Problem and purpose.The aim of this work was to genotype animals for the CAST and CAPN1 genes with identifying the frequencies of genotypes and alleles, as well as testing the products of these animals, expressed in assessing meat aged for 8 days, for indicators that make up tenderness, juiciness, and organoleptic taste assessment.Methodology. The object of research was the bulls of the breeds of the Bredy meat type of simmentals obtained from the use of outstanding bulls-producers of Canadian meat simmentals on domestic females of various lines. To carry out the polymerase chain reaction (PCR) for replicating a region of the genome constituting the CAPN1316 gene and the CAST2857 gene, primers found in the open press and synthesized by Syntol were used. The meat was evaluated for tenderness (resistance to cutting force with a Warner-Bratzler device + sensory evaluation of cooked and fried meat), juiciness (p/h, using a piercing electrode LoT406-M6-DXK-S7/25 + water-holding capacity). Results. As a result, the meat indicators of bulls with a combination of TT * genotypes for CAST and CC * for CAPN1 were superior over the average indicators of the total sample (P <0.001), as well as over the most common group of animals in the sample with the desired CC genotype for the CAPN1 gene by 1.22 points or 15.4% (P <0.01) for tenderness, 1.44 points or 18.2% (P <0.05) for juiciness, 1.56 points or 19.2% (P <0.001) for taste. Conclusion. Thus, the studies have confirmed the influence of the polymorphic state of the CC homozygote of the CAPN1 gene itself, as well as of the CAST and CAPN1 genes, on the tenderness of beef in that part of it when the combination of TT genotypes in the CAST gene and CC in the CAPN1 gene has a positive effect on the tenderness of beef, probably associated with the activation of the activity of μ-calpain due to the weakening of the effect of calpastatin as an inhibitor on μ-calpain.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".