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Ways to increase milk productivity of Red Gorbatov breed
- Authors: Shekhovtsev G.S.1
-
Affiliations:
- Russian State Agrarian University - Moscow Timiryazev Agricultural Academy
- Issue: Vol 19, No 1 (2024): Factors of sustainable animal productivity: from genomics to therapy
- Pages: 19-29
- Section: Factors of sustainable animal productivity: from genomics to therapy
- URL: https://agrojournal.rudn.ru/agronomy/article/view/19987
- DOI: https://doi.org/10.22363/2312-797X-2024-19-1-19-29
- EDN: https://elibrary.ru/BPLJPZ
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Abstract
Conservation of cattle breed diversity is one of the urgent problems of animal husbandry. Of special interest is the study of the last remaining population of Red Gorbatov cattle, descended from Tyrolean cattle, which is represented by Tux-Z illertal breed today. The purpose of the research was to study the influence of bloodline of Red Gorbatov breed on dairy productivity of cows. The objectives of the study included analysis of the current state of gene pool population of Red Gorbatov cattle saturated with Angler and Red Danish breeds over the last years. Purebred Red Gorbatov cows and crossbred animals obtained by crossing with Angler and Red Danish breeds were compared according to the following indicators of milk productivity: average milk yield for all lactations, fat and protein content in milk, milk fat and protein yield. Average value, coefficients of variation and correlation were calculated. The results of the study showed some superiority of crossbred animals over purebred Red Gorbatov cattle in the value of milk yields: by 5.7 % in crossbreeds with Angler breed and 12.9 % in crossbreeds with Red Danish breed, however, the differences in the values of the trait were not statistically significant. Differences in content of fat and protein in milk were not significant and were in the range from 0.01 to 0.04 %. The revealed values of correlation coefficients showed a significant unrealized potential of milk productivity.
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Fig. 2. Red Gorbatov cow
Source: created by the author
Table 1. Milk productivity in various cow genotypes
Indicator | Group | Average | |||||
I | II | III | |||||
CV, % | Red Gorbatov breed | CV, % | ½ Red Gorbatov × ½ Angler | CV, % | ½ Red Gorbatov × ½ Red Danish | ||
Milk yield per lactation, kg | 16.9 | 4840 ± 183 | 13.0 | 5117 ± 149 | 21.7 | 5464 ± 266 | 5140 ± 121 |
MF, % | 2.1 | 4.41 ± 0.02 | 1.9 | 4.42 ± 0.02 | 2.5 | 4.45 ± 0.02 | 4.43 ± 0.01 |
MP, % | 1.4 | 3.29 ± 0.01 | 1.8 | 3.27 ± 0.01 | 2.5 | 3.31 ± 0.02 | 3.29 ± 0.01 |
Milk fat yield, kg | 18.1 | 213.3 ± 8.6 | 14.2 | 226.2 ± 7.2 | 24.4 | 243.2 ± 13.2 | 227.6 ± 5.9 |
Milk protein yield, kg | 18.0 | 159.4 ± 6.4 | 14.5 | 167.5 ± 5.4 | 24.3 | 172.5 ± 9.8 | 169.2 ± 4.4 |
Live weight, kg | 9.6 | 503 ± 10.8 | 7.2 | 486 ± 7.8 | 7.5 | 510 ± 8.6 | 500 ± 5.4 |
Coefficient of milk productivity | 16.8 | 966 ± 36.2 | 15.9 | 1059 ± 37.6 | 24.1 | 1078 ± 58.2 | 1034 ± 26.4 |
Table 2. Comparative characteristics of milk productivity in experimental groups
Indicator | Difference between groups | ||
I and II | I and III | II and III | |
Milk yield per lactation, kg | –277* | –624* | –347* |
MF, % | –0.01* | –0.04* | –0.03* |
MP, % | 0.02* | –0.02* | –0.04* |
Milk fat yield, kg | –12.9* | –29* | –17* |
Milk protein yield, kg | –8,1* | –13,1* | –5* |
Live weight, kg | 17 | –7 | –24 |
Coefficient of milk productivity | –93* | –112* | –19* |
Note: * — p> 0.05; the difference is not significant.
Table 3. Correlation between age, live weight and indicators of milk productivity
Correlation coefficients between: | Group | ||
I | II | III | |
Age and milk yield | –0.18 | –0.36 | –0.59 |
Live weight and milk yield | 0.24 | –0.05 | –0.14 |
Live weight and fat content | 0.06 | –0.04 | –0.02 |
Live weight and protein content | 0.06 | 0.03 | –0.15 |
Milk yield and fat content | 0.54 | 0.44 | 0.78 |
Milk yield and protein content | 0.58 | 0.57 | 0.74 |
Fat content and protein content | 0.57 | 0.68 | 0.92 |
About the authors
Grigory S. Shekhovtsev
Russian State Agrarian University - Moscow Timiryazev Agricultural Academy
Author for correspondence.
Email: laichzeit1@yandex.ru
ORCID iD: 0000-0001-6281-9968
PhD student, Assistant, Department of Dairy and Beef Cattle Breeding
49 Timiryazevskaya st., Moscow, 127434, Russian FederationReferences
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