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Record W4405295714 · doi:10.25708/zt.2019.82.69.001

ПЛЕМЕННАЯ ЦЕННОСТЬ БЫКОВ-ПРОИЗВОДИТЕЛЕЙ ЧЕРНО-ПЕСТРОЙ ПОРОДЫ РАЗЛИЧНОГО ПРОИСХОЖДЕНИЯ

2019· article· ru· W4405295714 on OpenAlexaboutno aff
a i, Хромова О.Л., VENKATARAMAN G.S, Бургомистрова О.Н.

Bibliographic record

VenueЗоотехния · 2019
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsBreedPopulationLivestockAnimal scienceAnimal breedingBiologyGeographyDemographyForestry

Abstract

fetched live from OpenAlex

Исследования проводили с целью изучения племенной ценности быков-производителей различного происхождения, используемых на племенном поголовье коров черно-пестрой породы Вологодской области. Работа проведена на основе данных ИАС «Селэкс» по 274 быкам-производителям черно-пестрой и голштинской пород, полученных в различных странах мира и используемых на поголовье 33650 коров племенных хозяйств Вологодской области. Применялись общенаучные методы исследования: монографический, статистический, визуализации данных. Установлено, что используемые быки-производители получены в 6 странах мира: США, Канада, Германия, Нидерланды, Дания и Россия. По среднему количеству дочерей на одного быка интенсивнее в популяции используются производители из Канады - 161, Германии - 159 и России - 135. Определено, что в подконтрольной популяции фактор «страна происхождения быка» имеет достоверное (P< 0,01) умеренной силы влияние на племенную ценность производителей по надою материнских предков (η2 = 0,26). Максимальные показатели племенной ценности имеют быки из Канады и США - 14925 кг, 14284 кг, соответственно. У отечественных быков племенная ценность по надою материнских предков составила 11358 кг молока, что на 3567 кг меньше, чем у производителей из Канады (P ≤0,001). В числе 20 быков-производителей, имеющих лучшие показатели племенной ценности по надою материнских предков, 8 быков отечественного происхождения, 6 - из США, 4 - из Канады и по одному из Дании и Нидерландов. Племенная ценность по надою материнских предков этих быков варьирует от 15353 кг до 21480 кг. Полученные результаты исследований будут использованы при определении степени реализации потенциала быков и их оценке по потомству в стадах племенных хозяйств Вологодской области. The research was carried out to study the breeding value of bulls of different origin used in breeding stock of Black-and-White breed of the Vologda region. Work is carried out on the basis of data of IAS "Seleks" on 274 bulls of Black-and-White and Holstein breed, domestic and foreign selection used on a livestock of 33650 cows of breeding farms of the Vologda region. General scientific research methods are used: monographic, statistical, data visualization. It is established that the used bulls are obtained in 6 countries: USA, Canada, Germany, Netherlands, Denmark and Russia. The number of daughters per bull is more intensive in the population using sires from Canada - 161 heads, Germany - 159 heads and Russia - 135 heads. It is determined that in the controlled population the factor "country of origin of the bull" has a significant (P<0.01) moderate force influence on the breeding value of producers by milk yield of maternal ancestors (η2 = 0.26). The maximum indicators of breeding value are bulls from Canada and the United States - 14925 kg, 14284 kg, respectively. In domestic bulls, the breeding value of the milk yield of maternal ancestors was 11358 kg of milk, which is 3567 kg less than that of sires from Canada (P ≤ 0.001). Among the 20 bulls with the best indicators of breeding value on the yield of maternal ancestors, 8 bulls were of domestic origin, 6 from the United States, 4 from Canada and 1 from Denmark and the Netherlands. The breeding value of the milk yield of the maternal ancestors of these bulls varies from 15353 kg to 21480 kg. The results of the research will be used to determine the degree of realization of the potential of bulls and their evaluation of the offspring in the herds of breeding farms of the Vologda region.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0350.022

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 head0.023
GPT teacher head0.210
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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