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Record W4404671566 · doi:10.3103/s0095452724060100

Genetic Diversity of the Ukrainian Black-and-White Dairy Breed Population by the Bola-Drb3 Gene under the Effect of Holsteinization

2024· article· en· W4404671566 on OpenAlexaboutno aff
T. M. Suprovych, Yu. T. Salyha, M. P. Suprovych, Ye. I. Fedorovych, V. V. Fedorovych, S. V. Laiter-Moskaliuk, Т. С. Токарчук, В. В. Бандура

Bibliographic record

VenueCytology and Genetics · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBreedHerdGenetic diversityBiologyPopulationGene poolWhite (mutation)UkrainianGeneticsVeterinary medicineAnimal scienceGeneDemography

Abstract

fetched live from OpenAlex

Abstract The aim of the study is to identify changes in genetic diversity at the BoLA-DRB3 gene exon 2 of Ukrainian Black-and-White dairy cows on the example of a breeding herd where, over the past decade, targeted selection for increasing Holstein bloodlines has been carried out to improve milk production. Changes in genetic diversity were determined by comparing the biodiversity of the experimental herd with Holstein populations. In three stages, blood samples were obtained from 391 cows of the Ukrainian Black-and-White dairy breed from the Kozatska Dolyna 2006 breeding farm, Khmelnytsky oblast, Ukraine. The allelic spectrum of the BoLA-DRB3 gene exon 2 was determined by PCR–RFLP. The study was carried out in stages: in 2008–2010 in the first population (maternal herd, n = 162), in 2014–2017 in the second population (daughter herd, n = 123), and in 2019–2022 in the third population (granddaughter herd, n = 106). For comparison, the study includes previously published data on Holsteins: United States (n = 1100), Canada (n = 835), Chile (n = 113), Argentina (n = 424), Bolivia (n = 159), Paraguay (n = 139), and Peru (n = 133). The high polymorphism of the BoLA-DRB3 exon 2 gene makes it convenient for analyzing the genetic diversity of cattle. The assessment by Simpson and Berger-Parker indices shows that the measured herd of Ukrainian Black-and-White dairy breed has more genetic diversity at the BoLA-DRB3 gene than the Holstein populations. The allelic structure of the studied herds, evaluated by the Pielu index and Buzas and Gibson evenness, is more uniform. Significant genetic diversity of the Ukrainian Black-and-White dairy breed is confirmed by the Shannon index and the effective number of alleles. Their values are significantly higher than those for all the considered Holstein cattle populations. In the time trend, a decrease in genetic diversity at the BoLA-DRB3 gene was found in Ukrainian Black-and-White dairy cows compared to Holstein cows. The linear forecast for the future period showed that the level of its genetic biodiversity will decrease at the current level of use of Holstein genetic material.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.056
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.199
Teacher spread0.189 · 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 teacher head, 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
Published2024
Admission routes1
Has abstractyes

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