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Record W4283755891 · doi:10.31073/agrovisnyk202206-05

The influence of the country of origin and inbreeding on the productivity of bulls of main commercial breeds of Ukraine

2022· article· en· W4283755891 on OpenAlexaboutno aff
S. Vojtenko, O. Sydorenko

Bibliographic record

VenueVisnyk agrarnoi nauky · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBreedBiologyUkrainianLactationInbreedingAnimal scienceOffspringPopulationDemographyPregnancyGenetics

Abstract

fetched live from OpenAlex

Goal. To monitor the productivity of Holstein, Ukrainian black and red-spotted dairy bulls, which were allowed to reproduce breeding stock in 2021, depending on the country of birth, quality of offspring, and degree of inbreeding to preserve the gene pool, selection methods, and improvement of economically useful traits in offspring. Methods. The study was conducted on bulls of Holstein (660 heads), Ukrainian red-spotted (65), and Ukrainian black-spotted (45 heads) dairy breeds, assessed by the quality of offspring in the country of birth. The average values of the selection index (SI), milk yield, fat and protein, and the limits of traits were determined by the methods of mathematical statistics. Results. Among Holstein bulls, most were born in the United States, Ukraine, and Canada. The daughters of Holstein bulls of Ukrainian origin had the least milk yield for lactation (2,801 kg), and the Canadian had the highest (14,302 kg). SI bulls of the Ukrainian red-spotted dairy breed were at the level of – 1051…+1426. Daughter descendants of bulls of this breed had milk yield for lactation 2559–10209 kg, fat and protein content in milk 3.41–4.18 and 2.83-3.42%, respectively. SI of bulls of the Ukrainian black-spotted dairy breed made – 1051…+1122, and milk yield of cows for lactation of 2022-9064 kg of milk with the fat content of 3,42–4,05% and protein — 3,04–3,23%. In the group of Holstein bulls, 82% of animals were inbred animals, in the Ukrainian red-spotted dairy breed — 68%, and in the Ukrainian black-spotted dairy breed — 51%. The highest milk yield for the daughters was provided by the breeders of Holstein and Ukrainian black-spotted dairy breeds of moderate inbreeding, Ukrainian red-spotted dairy breeds — distant. Conclusions. To increase milk yield in daughter offspring, it is advisable to use bulls of Holstein and Ukrainian black-spotted dairy breeds of moderate inbreeding (Fx=1.56–12.4%), Ukrainian red-spotted dairy breed — distant (Fx=0.2–1.55%).

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.198
Teacher spread0.183 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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