MétaCan
Menu
Back to cohort
Record W3012462886 · doi:10.33943/mms.2020.11.83.002

ЭФФЕКТИВНОСТЬ ИСПОЛЬЗОВАНИЯ В ВЫСОКОПРОДУКТИВНЫХ СТАДАХ ПОТОМКОВ ГОЛШТИНСКИХ БЫКОВ ЕВРОПЕЙСКОЙ И СЕВЕРОАМЕРИКАНСКОЙ СЕЛЕКЦИИ

2020· article· ru· W3012462886 on OpenAlexaboutno aff
Абдула Абдулаев

Bibliographic record

VenueMolochnoe i miasnoe skotovodstvo · 2020
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Health
Canadian institutionsnot available
Fundersnot available
KeywordsLactationDry matterLivestockAnimal scienceHerdBiologyProductivityPregnancyEcology

Abstract

fetched live from OpenAlex

В высокопродуктивных стадах, функционирующих по типу полуоткрытых популяций, использование быков-производителей, происходящих из стран Европы и Северной Америки, сопряжено с разновекторностью отбора и эффективностью совершенствования скота по продуктивности и жизнеспособности. Однако эти процессы изучены недостаточно, что определяет актуальность и практическую значимость работы. В исследуемые группы включали бычков, телочек и коров, отцы которых получены в Европе и Северной Америке. Дочери североамериканских быков имели преимущество относительно аналогов, полученных от голландских отцов, по надоям молока на 152320 кг, или 1,53,1 и количеству молочного жира на 0,46,9 кг, или 0,11,6. По содержанию в молоке длинно-, средне- и короткоцепочковых, а также насыщенных жирных кислот лидировали потомки быков из Нидерландов и США. Коровы, полученные от канадских отцов эффективнее использовали корма в продукцию молока, превосходя аналогов от голландских быков по затратам сухого вещества на 0,2 кг, или 4,8, сырого протеина на 14,6 г, или 1,9. Использование быков европейской и североамериканской селекции при формировании и совершенствовании стада голштинского скота позволило достичь удоев за 1-ю лактацию на уровне 10,110,4 тыс. кг молока. Суммарная прибыль от реализации молока за 1 лактацию на 1 корову и мяса при откорме бычка превышает 80,782,5 тыс. руб., с преимуществом потомков канадской селекции на 1,8 тыс. руб., или 2,2. In highly productive herds functioning as open populations, the use of breeding bulls from European and North American countries is associated with a multi-vector selection and, accordingly, the effectiveness of improving livestock on the basis of productivity and viability. However, these processes are poorly studied, which determines the relevance and practical significance of the work.The study groups included bulls, heifers and cows in 2016, whose fathers came from the Netherlands (n8) and North America, including Canada (n5) and the United States (n5). The daughters of North American bulls had an advantage in milk yield (by 152320 kg or 1.53.1) and the amount of milk fat (by 0.46.9 kg or 0.11.6), and the Dutch in the mass fraction of fat and protein in milk, as well as the stability of lactation. The milk of the descendants of bulls from the Netherlands and the United States contained more long - (0.040.07 g / 100 g), medium- (0.100.39 g/100 g, P0,01) and short - chain, as well as saturated fatty acids. Cows received from Canadian fathers used feed more effectively in milk production, surpassing their counterparts in dry matter (by 0.2 kg or 4,8), raw protein (by 14,6 g or 1,9). In General, the use of bulls of European and North American breeding in the formation and improvement of the herd of Holstein cattle allowed to achieve milk yield per 1-lactation at the level of 10,110,4 thousand kg of milk. The total profit from the sale of milk for the first lactation on a cow and meat when fattening a bull exceeds 80,782,5 thousand rubles, with the advantage of descendants of canadian selection by 1.8 thousand rubles or 2.2.

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)0.003
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.045
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.006
Scholarly communication0.0130.005
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0450.013

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 head0.067
GPT teacher head0.252
Teacher spread0.186 · 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".

Quick stats

Citations5
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueMolochnoe i miasnoe skotovodstvoSame topicAnimal Nutrition and HealthFrench-language works237,207