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Record W4402343027 · doi:10.33920/sel-03-2407-03

Milk productivity of first-calf heifers of Holstein breed depending on their genealogical lines origin

2024· article· en· W4402343027 on OpenAlexaboutno aff
N. M. Kostomakhin, M. A. Gabedava, O. A. Voronkova

Bibliographic record

VenueGlavnyj zootehnik (Head of Animal Breeding) · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBreedProductivityAnimal scienceBiologyFood scienceEconomics

Abstract

fetched live from OpenAlex

Holstein breed, which was bred in the USA and Canada has gained worldwide popularity because it has the most necessary traits for dairy farming on an industrial scale. In our country, this breed has recently been widely used to improve native domestic dairy breeds, for example, Black-and-White and Kholmogory, etc., which are well adapted to local conditions of housing and feeding. One of the widespread breed improvement methods in modern cattle breeding is line breeding. Using this method, breeders and milk producers can increase the productivity of their milking herd in a signifi cantly short period of time, ensuring growth in the economy of milk production. The purpose of the work was to study the milk productivity of fi rst-calf heifers of Holstein breed depending on their genealogical lines origin. The research was carried out at Kaluzhskaya Niva LLC in the Kaluga region, which is a specialized livestock enterprise for breeding dairy cattle. The farm is engaged in breeding cattle of Holstein breed and has the status of a breeding farm for this breed. The fi rst-calf heifers of Holstein breed were the object of the study with completed the first lactation. The total number of experimental animals was 40 animals, which were divided into two groups taking into account their genealogical lines origin. The 1st group included fi rstcalf heifers belonging to the line Wes Back Ideal 1013415 (n=24) and the 2nd group to the line Refl ection Sovereign 198998 (n=16). It was established on base the analysis of the data obtained that fi rst-calf heifers of the line Wes Back Ideal 1013415 with a higher daily milk yield had a minimum milking time and a high intensity of milk ejection. In terms of milk ejection intensity they were ahead of their herdmates from the line Refl ection Sovereign 198998 and the herd average by 0.23 and 0.09 kg/min, respectively (p > 0.05). Thus, to increase milk yield, fat content and protein content of cows Holstein breed, it is necessary to use more widely the sperm of sires of the line Wes Back Ideal 1013415. At the same time, use cows with the most suitable udder (bowl-shaped udder) for robotic milking.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.260
Teacher spread0.200 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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