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LINEAR ASSESSMENT OF HOLSTEIN COWS EXTERIOR UNDER CANADIAN METHODOLOGY

2025· article· en· W4413373409 on OpenAlexaboutno aff
Ol'ga Boyarina, D. S. Adushinov, T F Lefler

Bibliographic record

VenueBulletin of KSAU · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsnot available
Fundersnot available
KeywordsAnimal scienceMathematicsStatisticsBiology

Abstract

fetched live from OpenAlex

The aim of the study is to determine the cow exterior using the Canadian system assessment chart with an emphasis on the rear third of the animal’s body. The main body parts of Holstein dairy cows were measured. Six measurements were taken from 274 Holstein dairy cows on two dairy farms in the Irkutsk Region. The animals under study were divided into 4 groups based on the number of completed lactations: first, second, third, fourth and older lactations. The main attention was paid to the rear third of the animal’s body. The following were determined using conventional methods, by measuring control points on the animal’s body: height and width at the ischial tuberosities, thighs, hipbones, oblique length of the hindquarters, distance between the hip joint and hipbone, and between the hip joint and ischial tuberosity. These measurements were taken in centimeters and rounded to whole numbers. The following were calculated: sacrum inclination angle and horizontal and vertical position of the hip joint. The overall score was calculated based on the importance of each section of the score card in points. According to the data obtained, with the intensification of dairy cattle breeding, evolutionary changes occur in the exterior of Holstein dairy cattle. Against the background of increased milk productivity, an increase in body size, a decrease in the angle of inclination of the sacrum and a caudal shift in the position of the hip joint are observed, which in turn affects the structure of the reproductive tract. In dairy cattle breeding, focusing on productivity indicators, significant attention must be paid to other characteristics that affect the efficiency of the entire technological process of milk production. Many of these characteristics are associated with the exterior of cows, for example, body type, size and shape of the udder, body dimensions, etc. In modern conditions of application of industrial technologies, when carrying out targeted selection of animals for the production of agricultural products, it is necessary to take into account the parameters of the exterior of cattle, which is a necessary condition for the normal functioning of the entire organism, reproduction and prospects for economic use.

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 score0.576
Threshold uncertainty score0.813

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 head0.025
GPT teacher head0.316
Teacher spread0.290 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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