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Record W2902034664 · doi:10.31073/abg.51.31

COMPARATIVE ASSESSMENT OF SEXED AND TRADITIONAL SEMEN OF HOLSTEIN BULLS

2018· article· en· W2902034664 on OpenAlexaboutno aff
I. V. Goncharenko, Yu. S. Pelykh

Bibliographic record

VenueAnimal Breeding and Genetics · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBreedHerdProgeny testingUdderMilkingBiologySpermAnimal scienceCrossbreedBiotechnologyFertilityLactationSelection (genetic algorithm)MastitisDemographyPopulationPregnancyComputer scienceGenetics

Abstract

fetched live from OpenAlex

Holstein dairy cattle are characterized by many outstanding qualities such as exterior constitutive type, level of milk yield per lactation and during the period of economic use, well developed udder in size and shape, adapted to machine milking and others. However, there are some negative aspects at the breeding of animals of this breed. This is a short period of practical use (2-2,5 lactation) and decreased fertility of breeding stock (67-72% – in the farms with intensive-industrial technologies). At high intensity of herd selection – 30-33%, it is practically impossible to obtain the expanded reproduction of a herd from its own resources. Therefore, it always has to depend on the import of heifers and feeder heifers. These circumstances may necessitate the development of special breeding activities which eliminate these problems.
 The science developed technology and laboratory equipment for sexed bull sperm and use of frozen-thawed sexed sperm relatively recently. Production test confirmed high efficiency of separation of spermiums by sex (bulls: heifers) – up to 92%. However, the high cost of sexed sperm and reasonable doubts of scientists and geneticists on the biological "harmlessness" of the proposed technology require further research in the future.
 The aim of our work was to conduct a comparative assessment of sexed and traditional sperm quality of the same Holstein bulls, which comes in straws and proposed for using in farms of Ukraine.
 Sexed and traditional (not sexed) sperm of Holstein sires of Canadian selection from "Simex Alliance Ukraine" LTD was used for research. The sperm of 4 sires: Benjamin CANM 7866444, Ardent HOUSAM 137922325, Mathys CANM 103439288, Vioris Sleeman HOCANM7817774 was taken for the analysis; each of the bulls had 3 sexed sperm doses and 3 traditional sperm doses. Total 24 sperm doses were studied.
 Thaw-frozen bull sperm was studied in the cryopreservation laboratory SPC "Zahіdplemresursy" Ltd., Lviv region using the technological equipment of the German company «Minitube» according to the software package CASA (Computer Assisted Semen Analysis) – Sperm Vision. Assessment of semen quality was conducted on indicators: concentration of sperms in 1ml, motility after thawing, number of sperms with rectilinear reciprocating movement (RRM), circular motion and stationary, and after incubation at 37 ° C after 60, 120, 180 minutes; acrosome intactness, level of microbial contamination.
 It has been established that motility and survivability of the sexed sperms were15-20% lower compared with these indicators of traditional sperm. Irrespective of the division of sperm by sex, we had the highest activity of the sperms of bull Vioris Sleeman HOCANM7817774. This indicates the possibility of bull selection by this indicator of quality sperm.
 The experimental results should not be assessed pessimistically. The similar problems occurred at the early stages of development and adopting of freezing and thawing technology of native bull sperm. We know that these issues have been successfully resolved.
 Therefore, the experimental results indicate necessity of improving the technology of freezing and thawing sexed bull sperm and preparing specialists of required qualification for the breeding centres laboratories and breeding enterprises in Ukraine.
 The genotype of a number of generations of progeny, obtained using sexed sperm should be systematically studied in the future.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.099

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 head0.096
GPT teacher head0.280
Teacher spread0.185 · 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 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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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