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Record W2903360120 · doi:10.31073/abg.51.29

THE VALUATION OF IMMUNOGENETICAL DISTINCTION BETWEEN THE DESCENDANTS OF DIFFERENT BULLS

2018· article· en· W2903360120 on OpenAlexaboutno aff
V. Foksha, A. Konstandoglo

Bibliographic record

VenueAnimal Breeding and Genetics · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsHerdBiologyLocus (genetics)LivestockCluster (spacecraft)Veterinary medicineGeneticsGenealogyDemographyAnimal scienceSociologyMedicineHistory

Abstract

fetched live from OpenAlex

The article presents the results of detailed genetical valuation between the descendants of different bulls in the period from 2003 till 2013. The aim of this research was to give a detailed genetic evaluation of the descendants of different bulls used in the herd of STE "Maximovca" at the relevant period of time. The object of the study was the heifers of Moldovan type of black-and-white cattle – the descendants of 11 bulls. Blood groups were determined by standard serological tests with the use of 49 monospecific sera from 9 genetic systems. All the attested livestock of breeding young growth of 2003-2013 are authentic, that is proved by the materials of the expertise of the authenticity of origin. According to AEB-locus at the descendants of all the bulls, common from 25 studied antigens were only 6 – B2, G2, O2, Y2, E′2 and Q′. The low frequency of occurrence of antigens P2, Q, T1, K ', J'2, P' is peculiar mainly for all the analysed descendants. The smallest genetic distance is identified between the descendants of bulls Academic 767 and Senior 7415 – 0,1291, and the highest one – between the descendants of bulls Abhazian 835 and Dikii 788 – 0,3095. The descendants of the evaluated bulls form four separate clusters: the first cluster consists of descendants of bulls Senior – Academic, the second cluster – Abiturient – Captain, the third cluster – Abhazian – Kiperush and the fourth cluster – Meteor – Karas. Herewith the linear belonging of bulls in the first three clusters is different and only both bulls of the fourth cluster (Karas, Meteor) refer to bloodline of Vis Back Ideal. The total frequency of occurrence of the basic alleles varied from 0,2250 (the descendants of bull Kiperush 79) to 0,4071 (the descendants of bull Dikii 788). The lowest coefficient of homozygosity turned out to be at the descendants of Abiturient 861 and Svet 732 – 5,7%. The greatest genetical resemblance is revealed between the descendants of bulls Academic 767 and Senior 7415 (r=0,8709). It is observed the tendency of increasing coefficient of homozygosity (descendants, born in 2009-2013) – 18%, that led to the shortening of numbers of effective working alleles from 17,3 (the descendants of bull Abiturient) to 5,4 (descendants of bull Meteor) and to shortening of the indicator of the degree of the possible genetical changeability to 86,4%. Alleles which are inherent to Holstein American, Canadian and European selection – B2O2Y2D 'and B2G2 are identified in the allele pool of the descendants of bulls Dikii, Svet and Senior. Conclusions. The main specific gravity in the structure of the allele pool of blood groups at the descendants of different bulls occupies the alleles, identified in the previous research of the herd of STE "Maximovca". The descendants of 9 bulls are the carriers of 11 alleles of EAB-locus which are characteristic for Red Steppe breed (B1I1, B2O1Y2, G2O1, G2D′, O2B′, G2O1Y2, O1Y2, Y2D′, Y2Y′, P1I′, O2D′). The tendency of the coefficient of homozygosity growth at the descendants, born in 2009-2013 (Ca=18%), led to reduction of the number of effective alleles from 17,3 to 5,4 and decrease of the indicator of the possible genetic variability to 86.4%.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.261
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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