Evidence map›Paper›PMID 38911070›Full record

ArticleVeterinary world2024

Clustering of countries based on dairy productivity characteristics of Holstein cattle for breeding material selection.

A F Petrov, O V Bogdanova, K N Narozhnykh, E V Kamaldinov, K S Shatokhin, V V Gart, S G Kulikova, T A Zhigulin

Abstract read
In one paragraph

Article in Veterinary world, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

A F PetrovDepartment of Veterinary Genetics and Biotechnology, Novosibirsk State Agrarian University, Novosibirsk, 630039, Russia.
O V BogdanovaDepartment of Veterinary Genetics and Biotechnology, Novosibirsk State Agrarian University, Novosibirsk, 630039, Russia.
K N NarozhnykhDepartment of Veterinary Genetics and Biotechnology, Novosibirsk State Agrarian University, Novosibirsk, 630039, Russia.
E V KamaldinovDepartment of Veterinary Genetics and Biotechnology, Novosibirsk State Agrarian University, Novosibirsk, 630039, Russia.
K S ShatokhinDepartment of Veterinary Genetics and Biotechnology, Novosibirsk State Agrarian University, Novosibirsk, 630039, Russia.
V V GartDepartment of Veterinary Genetics and Biotechnology, Novosibirsk State Agrarian University, Novosibirsk, 630039, Russia.
S G KulikovaDepartment of Veterinary Genetics and Biotechnology, Novosibirsk State Agrarian University, Novosibirsk, 630039, Russia.
T A ZhigulinDepartment of Veterinary Genetics and Biotechnology, Novosibirsk State Agrarian University, Novosibirsk, 630039, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: The aim of any breeding process is to create a herd based on certain parameters that reflect an ideal animal vision. Targeted herding involves selecting the source of breeding material to be imported from another country. Therefore, there is a problem in selecting a breeding material importer to rapidly form a uterine canopy with the required properties. The purpose of this study was to evaluate a set of predictive milk productivity traits in Holstein cattle across countries. Materials and Methods: This research was based on records of 819,358 recorded animals from 28 countries born after January 1, 2018, from open databases. We used the Euclidean metric to construct dendrograms characterizing the similarity of countries according to the complex milk productivity traits of the daughters of bulls. The Ward method was used to minimize intracluster variance when forming clusters and constructing the corresponding diagrams. Principal component analysis was used to reduce dimensionality and eliminate the effect of multicollinearity. The principal components were selected using the Kaiser-Harris criteria. Results: A ranking of multidimensional complex milk productivity traits in different countries over the past 5 years was performed. A group of leading countries led by the USA was established according to the studied indicators, and the possible reasons for such a division into groups were described. Conclusion: The pressure of purposeful artificial selection prevails in comparison with the pressure of natural selection concerning milk productivity traits in a certain group of countries, which allows specialists to choose suppliers when buying breeding animals and materials. The findings are based solely on data from recorded animals, which may not represent the entire breed population within each country, especially in regions where record-keeping may be inconsistent. It is expected that further studies will include regional data from large enterprises not part of Interbull, with mandatory verification and validation. An important element of such work is seen as the ability to compare the milk productivity of populations from different countries using a different scale, as well as studying the differentiation of countries by other selection traits of dairy.

Indexed as

breeding materialcattle productivitydairy productivity traitsHolstein cattle

Identifiers

PMID38911070
PMCPMC11188896

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.