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Record W3196620993 · doi:10.33943/mms.2021.68.69.007

COMPARATIVE FEATURES OF DAIRY EFFICIENCY OF COWS OF THE GOLSHTEIN AND HOLSHTINIZED BLACK AND WHITE BREEDS OF THE REPUBLIC OF KAZAKHSTAN

2021· article· ru· W3196620993 on OpenAlexaboutno aff
Talgat Karymsakov, Н. И. Стрекозов

Bibliographic record

VenueMolochnoe i miasnoe skotovodstvo · 2021
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Health
Canadian institutionsnot available
Fundersnot available
KeywordsBreedBiologyAnimal scienceLactationPopulationHerdWhite (mutation)Dairy cattleLivestockVeterinary medicinePregnancyGeneticsDemography

Abstract

fetched live from OpenAlex

В последние 20—25 лет на маточном поголовье черно-пестрого скота активно использовалось семя быков-производителей голштинской породы, завезенных по импорту из США и Канады. Это привело к тому, что в республике сформировался массив черно-пестрого скота с высокой долей кровности по улучшающей голштинской породе. Параллельно по импорту завозились и животные голштинской породы, в основном телки случного возраста и нетели. В конечном итоге в Казахстане образовались генотипы, схожие по внешним признакам, но отличающиеся по продуктивности. В статье отражены результаты научных исследований по сравнительному изучению молочной продуктивности коров двух родственных пород черно-пестрой масти. Показано, что высококровные (более 87,5 % по улучшающей породе) животные по удою на 30—43% уступали чистопородному голштинскому скоту, однако помеси на 2—4% превосходили голштинов по содержанию жира и белка в молоке. Отмечены идентичные биологические свойства обеих пород, связанные с лактационной кривой, как за полную лактацию, так и по суточным надоям. Полученные результаты обосновывают целесообразность полного поглощения значительной части казахстанской популяции черно-пестрого скота голштинской породой. Однако необходимо определенную часть животных сохранить в чистоте и на этой основе создать генофондные стада. In the last 20—25 years, the seed of bulls-producers of the Holstein breed, imported from the USA and Canada, has been actively used on the broodstock of black-and-white cattle. This led to the formation in the republic of an array of black-and-white cattle with a high proportion of blood in the improving Holstein breed. At the same time, animals of the Holstein breed were also imported, mainly heifers of breeding age and heifers. Ultimately, genotypes were formed in Kazakhstan, similar in appearance, but differing in productivity. The article reflects the results of scientific research on a comparative study of the milk productivity of cows of two related breeds of black and white color. It has been shown that high-blooded (more than 87.5% in the improving breed) animals in milk yield were 30—43% inferior to pure-bred Holstein cattle, but hybrids exceeded Holsteins by 2—4% in fat and protein content in milk. The identical biological properties of both breeds, associated with the lactation curve, both for full lactation and for daily milk yield, were noted. The obtained results justify the feasibility of fully absorbing a significant part of the Kazakh population of black and white cattle by the Holstein breed. However, it is necessary to keep a certain part of the animals clean and on this basis create gene-pool herds.

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 score0.016
Threshold uncertainty score0.031

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 studies0.0000.000
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 head0.030
GPT teacher head0.267
Teacher spread0.237 · 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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Citations1
Published2021
Admission routes1
Has abstractyes

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