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Use of bulls-producers of various origin on the breeding stock of the Yaroslavl breed of the Vologda region

2020· article· en· W3107272588 on OpenAlexaboutno aff
Н. И. Абрамова, Olga Khromova

Bibliographic record

VenueGenetics and breeding of animals · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Health
Canadian institutionsnot available
Fundersnot available
KeywordsBreedHerdAgricultural scienceStock (firearms)PopulationAnimal scienceBiologyGeographyDemography

Abstract

fetched live from OpenAlex

The research was conducted in order to study the breeding value of bulls-producers of various origins, used in the breeding stock of cows of the Yaroslavl breed in the Vologda region. The work was done on the basis of the information analytical system «Seleks» for 52 bulls-producers of Yaroslavl and Holstein breed obtained in different countries of the world and used the herd of 1600 cows dairy cattle breeding farm ZAO Sheksna Vologda region. General scientific research methods were used: monographic, statistical, and data visualization. It was found that the used bulls were produced in 5 countries of the world: the USA, Canada, Germany, the Netherlands and Russia. The vast majority of 76.9% of used manufacturers are of domestic origin. It was determined that in the controlled population, the factor «country of origin of the bull» has a significant influence (P<0.001) on the breeding value of producers based on the maternal ancestry (η2=0.46). Bulls from Canada and the United States have the highest indicators of breeding value for the milk yield of their maternal ancestors — 15436 and 14210 kg of milk, respectively. Domestic bulls have a breeding value of 8310 kg of milk, which is 7126 kg less than that of producers from Canada (P ≤ 0.001). The best indicators of bull potential realization by maternal ancestry were found in the daughters of Dutch and Russian producers (64.1% and 69.5%, respectively). The higher-than-average yield for the herd is obtained from cows with a Holstein blood type of 50% or more, using purebred Holstein bulls, both foreign and domestic selection, as well as Yaroslavl bulls with a high degree of blood type for improving breed (75-88%). In order to preserve the Yaroslavl breed of cattle, it is necessary to determine the optimal degree of blood transfusion of the Holstein breed, taking into account not only the productive characteristics, but also the characteristics of the health and longevity of animals.

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)0.001
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.169
GPT teacher head0.256
Teacher spread0.087 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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