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Record W4210764228 · doi:10.33920/sel-03-2202-02

Growth and development of replacement heifers of Holstein black-and-white breed of different ecogenesis

2022· article· en· W4210764228 on OpenAlexaboutno aff
E. S. Aitzhanov, K. K. Yesmagambetov

Bibliographic record

VenueGlavnyj zootehnik (Head of Animal Breeding) · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsBreedAnimal scienceBiologyVeterinary medicineAnimal breedingMedicine

Abstract

fetched live from OpenAlex

An important task of rearing of replacement young animals of different origin in dairy cattle breeding is to breed such type of animals that due to their size, strength of constitution, development of organs and systems, would ensure high milk productivity for a long time. This is especially true for the Black-and-White breed, which occupies a leading position among the breeds of dairy cattle. The purpose of the work was to study the growth and development of replacement heifers of Holstein black-andwhite breed of different ecogeneses. The growth and development of replacement heifers of Holstein black-and-white heifers of local breeding and herdmates of Holstein breed of Austrian and Canadian breeding under the conditions of the North Kazakhstan region in the Republic of Kazakhstan have been studied. Thus, it has been found that the absolute and relative growth rate was higher in animals of Canadian breeding, compared with herdmates of Austrian and domestic breeding. The live weight of black-and-white Holstein heifers of Canadian breeding at birth was higher than that of herdmates of Austrian and domestic breeding by 1,5 and 2,4 kg or 4,1 and 6,7 %, at 18 months of age by 32,6 and 50,8 kg or 4,6 and 13,0 % (P < 0,001). Heifers of Austrian breeding had an advantage over domesticbred heifers at birth by 0,9 kg or 2,5 %, and at the age of 18 months by 18 kg or 4,6 % (P < 0,001). Heifers of Canadian and Austrian breeding had the advantage over their herdmates of domestic breeding according to the studied body measurements and body built indices.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.039
GPT teacher head0.227
Teacher spread0.188 · 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 designBench or experimental
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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