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Record W3110181227 · doi:10.31073/abg.60.06

DEVELOPMENT OF GENETIC RESOURCES OF DAIRY CATTLE BREEDING IN UKRAINE

2020· article· en· W3110181227 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnimal Breeding and Genetics · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGenetic resourcesDairy cattleLivestockGeographyBiologyAgroforestryBiotechnologyAnimal scienceForestry

Abstract

fetched live from OpenAlex

At the present stage, the development of dairy farming needs to focus on increasing the livestock population with high productive indicators in the large-scale sector. In the period from 2000 to 2020, the number of cows in Ukraine decreased by 2.8 times (from 4958.3 thousand heads on 01.01.2001 to 1788.5 thousand heads on 01.01.2020), and in agricultural enterprises – by 4.2 times (from 1851.0 to 438.6 thousand heads respectively). An important factor in the growth of the large-scale sector should be the revival of the national selection system. Therefore, the issue of scientific substantiation of the organizational principles of effective management of breeding dairy cattle breeding is now of particular urgency. The purpose of the article is to carry out an evaluation of genetic resources of breeding dairy cattle Ukraine. The research was conducted on the observation materials of the State Statistics Service of Ukraine, the International Committee for Animal Recording, the State Register of subjects of breeding business in livestock breeding by using statistical methods. Cattle breeds are differ according to economic indicators of useful traits of animals, including the level of productivity, which significantly influences the economic efficiency of production. According to ICAR (The International Committee for Animal Recording), cows of the Holstein breed remain the leaders, whose productivity for the 305 days of lactation is at the level of 9–11 thousand kg of milk. Such achievements are the result of a long intensive breeding work aimed at increasing milk production. Among other breeds, which cow' productivity approachs the animals Holstein breed, Ayrshire (up to 9.0 thousand kg), Braunvieh, Montbeliarde, Fleckvieh, Norwegian Red, Swedish Red, Jersey (7.0–8.0 thousand kg) are next. A number of breeds are distinguished by qualitative features of dairy productivity. For example, the fat content in milk of cows of the Jersey breed of Canadian breeding is 5.1%. The milk productivity of these breeds is lower than Holstein dairy cows. But they have significant benefits in functional traits such as high reproductive capacity, extended duration of economic use, high payment of feed by the resulting products, which increases their competitiveness to the level of animals of the Holstein breed. In Ukraine, the highest milk productivity is Holstein (8965 kg), Fleckvieh (8877 kg), Ukrainian Black and White Dairy (7486 kg) and Ukrainian Red and White Dairy (6997 kg). Currently, in 344 breeding herds, 137.8 thousand cows are kept, which is one third less than 10 years ago. The most numerous is the Ukrainian Black and White Dairy – 68.829 purebred cows, or 49.9% in the structure of dairy cattle breeding herds. The share of Holstein – 25.2%, Ukrainian Red and White Dairy is 14.4%. It should be noted the extremely insufficient number of cows of the active part of the livestock (breeding stock-rearing farms that are certified as subjects of the tribal affairs and conduct breeding records) – 29.5% of the number of cows kept in agricultural enterprises, and 7.7% – at farms all categories. For example, in Israel (the world leader in the cows’ milk productivity in level about 12 thousand kg per cow) it is more than 90%. In other countries with a developed dairy industry, this figure is at 90% – in Denmark, 86% in Sweden, and 70% in Canada. The low proportion of the recorded dairy livestock in Ukraine greatly complicates the process of improving high-yielding herds. Over the past ten years, the number of breeding stock-rearing farms in Ukraine has doubled. Among them there was a tendency for livestock consolidation. Average number of cows in herds the breeding stock-rearing farms was: in 2007 – 241 heads, in 2012 – 334, in 2017 – 373, in 2019 – 401. In 2007–2019, as a result of ongoing concentrations of livestock, the average size of a purebred dairy herd increased almost one and a half times, which, due to the scale effect, made it possible for enterprises to reduce production costs per unit. The average milk yield of purebred cows in industrial enterprises increased from 4606 kg in 2007 to 7653 kg in 2019, or almost one and a half times. Due to the effect of the factor of natural biological antagonism on the milk productivity and reproductive capacity of cows, the raising of productivity with an increase in the heredity of the Holstein breed has led to a decrease in the calving output of 100 cows, and a decrease in the length of the commercial use of cows. This trend is also characteristic of all newly created dairy breeds. In particular, from Ukrainian Black and White Dairy cows the calving output per 100 cows decreased from 82.8 heads in 2006 to 77.4 in 2019; Ukrainian Red and White Dairy respectively from 82.2 to 69.5 calves; Ukrainian Red Dairy, where the proportion of the heredity of the Holstein breed is slightly lower than the first two, the calving rate dropped at lower pace. According to the results of dairy cattle recording, among the domestic breeds the highest milk productivity is in the Ukrainian Black and White Dairy cows – 7364 kg with a fat content of 3.74%, protein 3.22%; Ukrainian Red and White Dairy – respectively 6989; 3.78; 3.27; Ukrainian Red Dairy – 6549; 3.90; 3.26. Domestic breeds on genetic potential are at the level of the best European analogues, and according to indicators of reproduction and health they prevail them. Consequently, the breed of cows is an important factor in the economic efficiency of dairy cattle-breeding. Due to the long intensive selection work on cattle breeds, the milk productivity of cows in developed livestock countries has reached levels of 8.0–10.0 thousand kg and more for 305 days of lactation. The number of cows in breeding farms in Ukraine for 2006–2019 has decreased by 38 thousand head, or by 22%. The average milk yield of purebred cows in industrial enterprises increased from 4606 kg in 2007 to 7653 kg in 2019, or almost one and a half times. But the extremely insufficient number of cows of the active part of the livestock greatly complicates the process of improving high-yielding herds. In the breeding structure of pedigree dairy cattle, animals of Ukrainian Black and White Dairy (49.9%), Holstein breeds (25.2%) and Ukrainian Red and White Dairy (14.4%) prevail.

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.

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 score0.799
Threshold uncertainty score0.154

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 head0.049
GPT teacher head0.220
Teacher spread0.171 · 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