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Record W2995816958 · doi:10.33943/mms.2019.7.42227

ПУТИ СОВЕРШЕНСТВОВАНИЯ СТАДА ПО ПРОДУКТИВНОСТИ КОРОВ ВЕДУЩЕЙ ГРУППЫ

2019· article· en· W2995816958 on OpenAlexaboutno aff
Н. А. Попов, Elena Fedotova, G.A. SENTSOVA

Bibliographic record

VenueMolochnoe i miasnoe skotovodstvo · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsHerdBreedMilkingBiologyAnimal scienceLactationSelection (genetic algorithm)Dairy cattleVeterinary medicineGeneticsPregnancy

Abstract

fetched live from OpenAlex

Breeding trait priorities and optimization strategies for genealogical structure of the RedandWhite pedigree cattle herd have been developed based on improving their efficiency through selection with the use of the Holstein bull sires and a range of genetic factors. The variations in the conditiondependence of the main selected traits are analyzed by characteristics of cows in the herd top and model groups in order to determine their parameters and genotypes for the patterns of their distribution within a breed at a large scale. All the cows met the standards of the new herd at the breeding enterprise. The average level of the heterogeneity index comprised 0.512 with the milk yield of more than 7000 kg milk for 305 days of lactation. Positive correlations between the cow milk yields and the live weights were revealed. The level of homozygosity at the EAB locus comprised 4.25 for the cows in the top group. The genetic similarity between the cows in this group and the initial group in breeding with use of the Simmental animals decreased up to 48.3. The allele pool was represented by 29 alleles. A high milking frequency in the period of stimulating the milk yield is typical for the firstcalf cows with the high live weights and the service intervals extended by 15.3 days. Cows of the model group represented all the lines bred in the herd. The priority in the lines of V. B. Aidial 933132 was ascertained. In addition, small numbers of cows in the line of R. Shailimar 265607 were recorded. Insufficient numbers of bulls in the line of M. Chiftein 956679 at the breeding enterprises were found. The priorities were given to selective breeding for the increased milk protein fraction with a range for traits of 40. The bull dams were chosen from the population with predominance of the Holstein bulls of the European and Canadian gene pools and the domestic RedandWhite bulls from the groups in the environments they are adapted to. Their participation tends to complete a phase of building up a high production herd of cows in the breeding program for a targeted standard set of the main traits within the RedandWhite breed. Разработаны приоритеты выбора признаков селекции и оптимизации генеалогической структуры племенного стада краснопестрой породы при их совершенствовании с использованием быковпроизводителей голштинской породы и ряда генетических факторов. Изучено состояние главных признаков отбора по характеристикам ведущей и модельной групп коров стада с целью определения их параметров и генотипов для широкого распространения в породе. Все коровы отвечали стандартам для нового заводского стада, средний уровень индекса гетерогенности составлял 0,512 при удое свыше 7000 кг за 305 дней лактации. Выявлены положительные корреляции между удоем и живой массой коров. Уровень гомозиготности в ЕАВлокусе по ведущей группе составлял 4,25, ее генетическое сходство с исходной при выведении симментальской породой снизилось до 48,3, аллелофонд представляли 29 аллелей. Высокий раздой характерен для коровпервотелок с высокой живой массой и повышенным сервиспериодом на 15,3 дня. Коровы модельной группы представляли все разводимые в стаде линии. Определен приоритет линий В.Б. Айдиала 933132, а также малочисленность коров по линии Р. Шайлимара 265607 и недостаток на племпредприятиях быков линии М. Чифтейна 956679. Приоритет в подборе отдан векторам (направлению) увеличения массовой доли белка в молоке с весом признаков 40 с преимуществом в подборе к маткам быков европейскоканадского генофонда голштинской породы, а также адаптированных групп быков отечественной краснопестрой породы. С их участием завершится выведение заводского стада коров с заданными целевыми стандартами по главным признакам селекции в краснопестрой породе.

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 categoriesInsufficient 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 score0.729
Threshold uncertainty score0.995

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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.005

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 head0.008
GPT teacher head0.173
Teacher spread0.165 · 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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