MétaCan
Menu
Retour à la cohorte
Enregistrement W4385287380 · doi:10.31073/abg.65.11

REGIONAL CENTERS FOR THE BREEDING OF HOLSTEIN CATTLE OF UKRAINE

2023· article· en· W4385287380 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueAnimal Breeding and Genetics · 2023
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAgriculture and Biological Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeographyBiologyAnimal science

Résumé

récupéré en direct d'OpenAlex

Introduction. The prevalence of the Holstein breed in the natural and climatic zones allows for the analysis and assessment of the manifestation of breeding traits of milk productivity, exterior and reproductive ability of animals in farms of different forms of ownership. This makes it possible to establish the level of the main population genetic parameters and to carry out local measures to improve the selection work in subjects of the breeding business. Monitoring of the genealogical structure of the breed, identification of the most common lines, related groups, and their evaluation according to the main economically useful features is also carried out. The purpose and tasks of this study was to establish the number and nature of the manifestation of selection traits of animals in the regions that breed breeding Holstein cattle of Ukraine. Materials and methods of research. For the analysis of regional Holstein cattle breeding centers in Ukraine, materials from the comprehensive evaluation of breeding cattle as of 01.01.2021 were used in the amount of 5 farms in the Volyn region, 7 in the Dnipropetrovsk region, Kyiv region, Chernihiv region, 2 in Mykolaiv region, 12 in the Poltava region, and 9 in the Cherkasy region. To realize the goal, we used and conducted an analysis of the number of breeding cattle, the distribution of animals by milk yield, fat and protein content, calving, milk yield and live weight for the last completed I, II and III lactation, the characteristics of firstborns by the shape of the udder and the intensity of milk yield, reproduction ability and characteristics of record-breaking cows. The genealogical affiliation to the lines of the mother stock and breeding bulls, which were involved in reproduction, was determined using the information database of the bulls of Ukraine under the "Orsek" Dairy Management System. The average values of selection traits are calculated as a weighted average according to the generally accepted methodology. Research results. The total number of researched livestock is 43679 heads, including 22823 cows, 18907 heifers, and 949 bulls of various age groups. By breed, 95% of the animals are purebred, and by class, 76% belong to the elite-record and elite. The share of sex-age groups in different regions is not the same and varies within the following limits: cows from 47% to 62.4%, heifers 6–12 months. from 14.9% to 21.2%, heifers 13–18 months from 7.4% to 17.7% and heifers older than 18 months. from 9.6% to 14.2%. The number of bulls aged 6–18 months. distributed in the Dnipropetrovsk, Kyiv and Chernihiv regions with a share from 2.9% to 5.6%. The analysis of the distribution of cows in breeding farms showed that 14% of herds have up to 100 cows, 32% from 100 to 299 cows, 18% from 300 to 699 cows, 10% from 700 to 899 cows, and 8% from more than 1000 cows. The share of firstborns, cows with the second, third calving and above compared to the total number of studied types is 40%–25%–35% = 23731 heads. In the regions, this ratio is, respectively: Volyn – 34%–23%–43% = 1678 heads, Dnipropetrovsk – 50–20–30% = 2475 heads, Kyiv – 40–30–30% = 6616 heads, Mykolaiv – 37–23–40% = 2549 heads, Poltava – 46–30–24% = 3981 heads, Cherkasy – 36–22–42% = 3070 heads, Chernihiv – 37–27–36% = 3362 heads. The studied regions are quite variable in terms of the main breeding trait, namely the milk productivity of cows. Thus, the average number of cows in the three regions exceeds 10 tons. The lowest value was recorded in cows of the Dnipropetrovsk region. In addition, interesting from the point of view of the variability of the value of breeding in herds within the region is its amplitude. Thus, in Volyn it ranges from 7651 kg to 12112 kg, in Dnipropetrovsk from 4471 kg to 8753 kg, in Kyiv from 12320 kg to 8305 kg, in Mykolaiv from 8714 kg to 11355 kg, in Poltava from 6870 kg to 9553 kg, in Cherkasy from 551 kg to 11200 kg and Chernihiv from 7545 kg to 9630 kg. High values were noted for the content of fat in milk, where cows from five regions have a value above 3.80%, with the best indicator for cows from the Kyiv region. The lowest live weight of cows is 553 kg in the Dnipropetrovsk region, which is 11.8 kg less than the Poltava region and 40.8 kg less than the Cherkasy region. Cows of the Volyn, Kyiv, Mykolaiv and Chernihiv regions have a live weight of over 600 kg. Indicators of the reproductive ability of the mother stock of seven regions of Ukraine are variable according to the average values. Thus, heifers from the Dnipropetrovsk region have the lowest live weight for the 1-st insemination, which is 58.1 kg less than animals from the Mykolaiv region. The duration of the service period of cows in all regions is greater than the optimal values, which is explained by the high level of milk productivity. In the vast majority of cows in the studied regions, it is easy, and the proportion of heavy ones is within 3% ... 9%. The main reasons for the abandonment of cows are low milk productivity and reproductive ability, with the exception of cows of the Dnipropetrovsk region, which ranges from 42% in the Mykolaiv region to 63.5% in the Cherkasy region. The share of diseases of the udder, limbs, and digestive organs has a wide amplitude and is, respectively, 4.6 ... 16.3%, 9.5 ... 23.9%, 1 ... 17.5%. The average age at which cows are removed from the studied herds ranges from 1 up to 3.5 calvings in Dnipropetrovsk, from 2.6 to 3 calvings in Kyiv, from 2.5 to 2.9 calvings in Mykolaivsk, from 2 to 5 calvings in Poltava, from 2 to 3.5 calvings in Cherkasy and from 2 up to 4 calvings in cows in the Chernihiv region. The genealogical structure of the Holstein breed in the studied regions consists of 15 lines, the breeding bulls of which come from 18 countries. The largest number, namely 13 lines, is used in the Kyiv region, and the least in the Mykolaiv (7) regions. As for the prevalence of lines, in all regions the breeding bulls Bella 667366, Besna 5694028588, Valiant 1650414, Eleveishn 1491007, Marshal 2290977, Starbak 352790 and Chif 1427381 are used to 100% in Mykolaiv regions. The most used breeding bulls are from the Eleveishn 1491007, Starbak 352790 and Chif 1427381 lines, which respectively have the largest mother stock. Conclusions. The smallest representation of the mother stock, as well as the bulls used on it, are Ivanhoe 1189870, Astronaut 1428744, Rigel 352882, Metta 132858, Montfrech 91779 and Cadillac 2046246 lines. According to milk yield, the cows of the studied bulls of the respective lines are characterized by wide differentiation, the best values of which exceed 10 t. In addition, in all regions, except Mykolaiv, there is a group of breeding stock with bulls whose lineage is not defined, and their share in the overall structure is, respectively: 2% in Kyiv, 7% in Dnipropetrovsk, 10% in Chernihiv, 20% in Cherkasy, 25% in Volyn. The USA, Canada, the Netherlands and Germany are among the largest importers of breeding bulls.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,925
Score d'incertitude au seuil0,119

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,075
Tête enseignante GPT0,251
Écart entre enseignants0,176 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle