EFFECTIVENESS OF PEDIGREE SELECTION BASED ON GENEALOGICAL COMBINATIONS FOR RIDING HORSE BREEDING IN THE REPUBLIC OF BELARUS

This paper contains the results of the analysis of the used linear combinations of stallions and mares of the Trakehner and Hanoverian breeds in thespecimens of pedigree horse breeding in the Republic of Belarus. It was established that in the Trakehner breed, the use of combinations of stallions of the Priboyох line with mares of the Pythagoras, Blandford xx and Douglas xx lines was the most effective in terms of the quality of the resulting male offspring, while in the Hanoverian breed, it was the use of crosses of the Cor de la Bryere × Goldschlager, St. Simon xx × Ladykiller xx, Senator × Cottage Sona xx lines. In producing the best pedigree mares of the Trakehner breed, the most effective line crosses were identified, such as: Kupferhammer × Pythagoras, Priboyох × Pilger, Pilger × Pythagoras. When it comes intra-line selections, the best ones were those using the Kankar and Pilger lines. The expediency of using the following line crosses to produce pedigree mares of the Hanoverian breed was established: Cor de la Bryere × Dark Ronald хх, Goldschlager × Cor de la Bryere. Of intra-line ones, it is worth mentioning selections using the Fling line. Thus, determining the effectiveness of various genealogical combinations is a tool for predicting and improving the quality of riding horses bred. The results of the conducted research can be used for the development of plans for pedigree selection, selecting of promising horses for further selection based on phenotypic traits.

Authors

Publication Details

Journal
Transactions of the educational establishment “Vitebsk the Order of “the Badge of Honor” State Academy of Veterinary Medicine
Published
2025-01-01
DOI
https://doi.org/10.52368/2078-0109-2025-61-3-44-49
Primary Topic
Agriculture and Biological Studies
Type
article
Field-Weighted Citation Impact
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article

EFFECTIVENESS OF PEDIGREE SELECTION BASED ON GENEALOGICAL COMBINATIONS FOR RIDING HORSE BREEDING IN THE REPUBLIC OF BELARUS

Anzhelika Herman
Transactions of the educational establishment “Vitebsk the Order of “the Badge of Honor” State Academy of Veterinary Medicine
Agriculture and Biological Studies
article

EFFECTIVENESS OF PEDIGREE SELECTION BASED ON GENEALOGICAL COMBINATIONS FOR RIDING HORSE BREEDING IN THE REPUBLIC OF BELARUS

Anzhelika Herman
article en

Abstract

This paper contains the results of the analysis of the used linear combinations of stallions and mares of the Trakehner and Hanoverian breeds in thespecimens of pedigree horse breeding in the Republic of Belarus. It was established that in the Trakehner breed, the use of combinations of stallions of the Priboyох line with mares of the Pythagoras, Blandford xx and Douglas xx lines was the most effective in terms of the quality of the resulting male offspring, while in the Hanoverian breed, it was the use of crosses of the Cor de la Bryere × Goldschlager, St. Simon xx × Ladykiller xx, Senator × Cottage Sona xx lines. In producing the best pedigree mares of the Trakehner breed, the most effective line crosses were identified, such as: Kupferhammer × Pythagoras, Priboyох × Pilger, Pilger × Pythagoras. When it comes intra-line selections, the best ones were those using the Kankar and Pilger lines. The expediency of using the following line crosses to produce pedigree mares of the Hanoverian breed was established: Cor de la Bryere × Dark Ronald хх, Goldschlager × Cor de la Bryere. Of intra-line ones, it is worth mentioning selections using the Fling line. Thus, determining the effectiveness of various genealogical combinations is a tool for predicting and improving the quality of riding horses bred. The results of the conducted research can be used for the development of plans for pedigree selection, selecting of promising horses for further selection based on phenotypic traits.

Transactions of the educational establishment “Vitebsk the Order of “the Badge of Honor” State Academy of Veterinary MedicineVol. 61(3)
Openalex Percentile: Top 58%
Agriculture and Biological Studies
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