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Record W4391291282 · doi:10.52269/22266070_2023_3_98

IMPROVEMENT OF BREEDING AND PRODUCTIVE QUALITIESOF THE ABERDEEN ANGUS BREED IN NORTHERN KAZAKHSTAN

2023· article· en· W4391291282 on OpenAlexaboutno aff
Inna Brel-Kisselevа, Pavel Shevchenko, Natalya Papusha

Bibliographic record

Venue3i intellect idea innovation - интеллект идея инновация · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsBreedLivestockBiologyStock (firearms)Selective breedingGenotypeVeterinary medicineAnimal breedingAnimal scienceBiotechnologyGeographyEcologyGenetics

Abstract

fetched live from OpenAlex

The article shows the findings of research material on the comparative characteristic of the growth and development of young Aberdeen Angus stock of different genotypes bred in the Northern Kazakhstan by Kolos LLP of Denisov district, Kostanay region. Male calve and heifer calves were evaluated for productive and breeding qualities. In this manuscript, it was established that the highest assessment scores, according to the research methodology, were observed in the young animals of Group I, which have genetic lineage connections to breeding stock (Canadian selection) and sired by the bull AAR Ten Gauge 1501 7AN425, known for its strong quantitative characteristics. The research results demonstrated that cows, as the Aberdeen Angus breeding stock, have high resistance to the transmission of offspring hereditary features. A middle position between peers is occupied by the following animals: group II (Estonian selection), according to the bull genotype AAA 17888695; III group (Kazakhstan selection) and according to the genotype of the bull KZP157796788. The trends identified in relation to traits that characterize the productive and breeding qualities of young Aberdeen Angus stock (young male calves and heifer calves) with various genotypes, suggest that the current livestock within the core farm can serve as replacements for breeding purposes and for achieving beef production.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.056
GPT teacher head0.264
Teacher spread0.208 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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