13 research outputs found
BIOCHEMICAL AND MINERAL PARAMETERS IN PIGS OF TWO BREEDS REARED IN LARGE INDUSTRIAL COMPLEXES OF WESTERN SIBERIA
Pig farming has a long tradition in Russian agriculture. The objectives of the present study were to investigate some indicators of blood biochemistry and hematology, and mineral metabolism in pigs (aged 6 months) of Landrace and Kemerovskaya breeds reared and kept in large industrial complexes named βChistogorskyβ and βAltaimyasopromβ (250 thousand heads in each) and to determine differences between two breeds in biochemical, hematological and mineral parameters. The Kemerovskaya breed belonged to local one but the Landrace breed was introduced from Ireland 3 generations ago. Concentrations of albumins, urea and phosphorus were higher in the Landrace breed then in the Kemerovskaya breed. In contrast, there was increased concentration of globulins and AST activity in animals of the Kemerovskaya breed in comparison with the Landrace breed. In addition, there were differences between breeds in some hematological indices and mineral metabolism parameters excluding phosphorus. The average population levels of the parametersinvestigated in two pig breeds could be used as reference values to evaluate animalβs interior at other pig farms in Western Siberia. The selected biochemical indices are recommended to farmers to assess the physiological status of animals in large industrial pig-raising plants
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ ΠΏΠ°ΡΠ°ΡΠΈΠΏΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π½Π° ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΈΠ½ΠΊΠ° Π² Π»Π΅Π³ΠΊΠΈΡ Π±ΡΡΠΊΠΎΠ² Π³Π΅ΡΠ΅ΡΠΎΡΠ΄ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ
The study aims to evaluate the influence of the ecological and geographical factors on the zinc content of light Hereford bulls and calculate the reference intervals for this metal. Lung samples weighing 100 g were taken from clinically healthy bulls of the Hereford breed in the Maslyaninsky, Novosibirsk and Krasnozersky districts of the Novosibirsk region and the Tselinny district of the Altai Territory. The chemical composition of lung tissues was determined by atomic absorption spectrometry with electrothermal atomization. The homoscedasticity of dispersions in groups was assessed using the Fligner-Keelin test. The influence of the factor was determined using the Kruskal-Wallisl test. Multiple intergroup comparisons were made using Dunnβs test and Holmβs correction. The maximum zinc level was found in animals bred in the Maslyaninsky district (26.6 mg/kg) and the minimum β in Krasnozersky (13.8 mg/kg). Cattle from the Maslyaninsky district are characterized by higher phenotypic variability in zinc content in the lungs than in other areas. Generally, the variability of the studied metal in the lungs of gobies is relatively low. Group variances in the zinc level in cattle lungs are homoscedastic (x2 =2.27; P=0.518). The influence of the ecological and geographical factors on the zinc level in Hereford cattleβs lungs was established (H = 12.158; P = 0.007). The concentration of metal in the lungs of bulls from the Krasnozersky district is statistically significantly different from cattle from Maslyaninsky (Z = -2.96; P = 0.009). There were no statistically significant differences in Zn concentration in lung tissues between animals from other regions. Reference intervals for the content of zinc in the lungs of Hereford cattle in the conditions of the south of Western Siberia are 12.44-24.12 mg/kg, with 90% confidence intervals for the lower limit of 10.15-13.66 mg/kg and the upper limit of 22.73 -26.49 mg/kg.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΎΡΠ΅Π½ΠΈΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΊΠΎΠ»ΠΎΠ³ΠΎ-Π³Π΅ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ° Π½Π° ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΡΠΈΠ½ΠΊΠ° Π² Π»Π΅Π³ΠΊΠΈΡ
Π±ΡΡΠΊΠΎΠ² Π³Π΅ΡΠ΅ΡΠΎΡΠ΄ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ ΠΈ ΡΠ°ΡΡΡΠΈΡΠ°ΡΡ ΡΠ΅ΡΠ΅ΡΠ΅Π½ΡΠ½ΡΠ΅ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π»Ρ Π΄Π»Ρ ΡΡΠΎΠ³ΠΎ ΠΌΠ΅ΡΠ°Π»Π»Π° Π² Π΄Π°Π½Π½ΠΎΠΌ ΠΎΡΠ³Π°Π½Π΅. ΠΠ»Ρ Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΡΠ±ΠΈΡΠ°Π»ΠΈ Π½Π°Π²Π΅ΡΠΊΡ Π»ΡΠ³ΠΊΠΈΡ
ΠΌΠ°ΡΡΠΎΠΉ 100 Π³ ΠΎΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈ Π·Π΄ΠΎΡΠΎΠ²ΡΡ
Π±ΡΡΠΊΠΎΠ² Π³Π΅ΡΠ΅ΡΠΎΡΠ΄ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π² ΠΠ°ΡΠ»ΡΠ½ΠΈΠ½ΡΠΊΠΎΠΌ, ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠΌ ΠΈ ΠΡΠ°ΡΠ½ΠΎΠ·Π΅ΡΡΠΊΠΎΠΌ ΡΠ°ΠΉΠΎΠ½Π°Ρ
ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈ Π¦Π΅Π»ΠΈΠ½Π½ΠΎΠΌ ΡΠ°ΠΉΠΎΠ½Π΅ ΠΠ»ΡΠ°ΠΉΡΠΊΠΎΠ³ΠΎ ΠΊΡΠ°Ρ. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ°Π²Π° ΡΠΊΠ°Π½Π΅ΠΉ Π»ΡΠ³ΠΊΠΈΡ
ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π°ΡΠΎΠΌΠ½ΠΎ-Π°Π±ΡΠΎΡΠ±ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΏΠ΅ΠΊΡΡΠΎΠΌΠ΅ΡΡΠΈΠΈ Ρ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ΅ΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°ΡΠΎΠΌΠΈΠ·Π°ΡΠΈΠ΅ΠΉ. ΠΠΎΠΌΠΎΡΠΊΠ΅Π΄Π°ΡΡΠΈΡΠ½ΠΎΡΡΡ Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΉ Π² Π³ΡΡΠΏΠΏΠ°Ρ
ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΊΡΠΈΡΠ΅ΡΠΈΡ Π€Π»ΠΈΠ³Π½Π΅ΡΠ°-ΠΠΈΠ»ΠΈΠ½Π°. ΠΡΠ΅Π½ΠΊΡ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ°ΠΊΡΠΎΡΠ° ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΡΠ°ΡΠΊΠ΅Π»Π°-Π£ΠΎΠ»Π»ΠΈΡΠ°. ΠΠ½ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΌΠ΅ΠΆΠ³ΡΡΠΏΠΏΠΎΠ²ΡΠ΅ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠ΅ΡΡΠ° ΠΠ°Π½Π½Π° ΠΈ ΠΏΠΎΠΏΡΠ°Π²ΠΊΠΎΠΉ Π₯ΠΎΠ»ΠΌΠ°. ΠΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΈΠ½ΠΊΠ° ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ Ρ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
, ΡΠ°Π·Π²ΠΎΠ΄ΠΈΠΌΡΡ
Π² ΠΠ°ΡΠ»ΡΠ½ΠΈΠ½ΡΠΊΠΎΠΌ ΡΠ°ΠΉΠΎΠ½Π΅ (26,6 ΠΌΠ³/ΠΊΠ³), ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΡΠΉ β Π² ΠΡΠ°ΡΠ½ΠΎΠ·ΡΡΡΠΊΠΎΠΌ (13,8 ΠΌΠ³/ΠΊΠ³). ΠΠ»Ρ ΡΠΊΠΎΡΠ° ΠΈΠ· ΠΠ°ΡΠ»ΡΠ½ΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΉΠΎΠ½Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½Π° Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠ°Ρ ΡΠ΅Π½ΠΎΡΠΈΠΏΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΡΠΈΠ½ΠΊΠ° Π² Π»Π΅Π³ΠΊΠΈΡ
, ΡΠ΅ΠΌ Π² Π΄ΡΡΠ³ΠΈΡ
ΡΠ°ΠΉΠΎΠ½Π°Ρ
. Π ΡΠ΅Π»ΠΎΠΌ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡ ΠΈΠ·ΡΡΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠ°Π»Π»Π° Π² Π»Π΅Π³ΠΊΠΈΡ
Π±ΡΡΠΊΠΎΠ² Π½Π°Ρ
ΠΎΠ΄ΠΈΡΡΡ Π½Π° ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π½ΠΈΠ·ΠΊΠΎΠΌ ΡΡΠΎΠ²Π½Π΅. ΠΡΡΠΏΠΏΠΎΠ²ΡΠ΅ Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΈ ΠΏΠΎ ΡΡΠΎΠ²Π½Ρ ΡΠΈΠ½ΠΊΠ° Π² Π»Π΅Π³ΠΊΠΈΡ
ΠΊΡΡΠΏΠ½ΠΎΠ³ΠΎ ΡΠΎΠ³Π°ΡΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ° Π³ΠΎΠΌΠΎΡΠΊΠ΅Π΄Π°ΡΡΠΈΡΠ½Ρ (x2 = 2,27; Π = 0,518). Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΊΠΎΠ»ΠΎΠ³ΠΎ-Π³Π΅ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ° Π½Π° ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΈΠ½ΠΊΠ° Π² Π»Π΅Π³ΠΊΠΈΡ
Π³Π΅ΡΠ΅ΡΠΎΡΠ΄ΡΠΊΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ° (Π = 12,158; Π = 0,007). Π£ Π±ΡΡΠΊΠΎΠ² ΠΈΠ· ΠΡΠ°ΡΠ½ΠΎΠ·ΡΡΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΉΠΎΠ½Π° ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΡΠΈΠ½ΠΊΠ° Π² Π»Π΅Π³ΠΊΠΈΡ
ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΠΎ Π½ΠΈΠΆΠ΅, ΡΠ΅ΠΌ Ρ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
ΠΈΠ· ΠΠ°ΡΠ»ΡΠ½ΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΉΠΎΠ½Π° (Z = -2,96; P = 0,009). ΠΠ΅ΠΆΠ΄Ρ ΠΆΠΈΠ²ΠΎΡΠ½ΡΠΌΠΈ ΠΈΠ· Π΄ΡΡΠ³ΠΈΡ
ΡΠ°ΠΉΠΎΠ½ΠΎΠ² Π½Π΅ Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΠΏΠΎ ΡΡΠΎΠ²Π½Ρ ΡΠΈΠ½ΠΊΠ° Π² ΡΠΊΠ°Π½ΡΡ
Π»Π΅Π³ΠΊΠΈΡ
. Π Π΅ΡΠ΅ΡΠ΅Π½ΡΠ½ΡΠΉ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ ΠΏΠΎ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΡΠΈΠ½ΠΊΠ° Π² Π»Π΅Π³ΠΊΠΈΡ
Π³Π΅ΡΠ΅ΡΠΎΡΠ΄ΡΠΊΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ°, ΡΠ°Π·Π²ΠΎΠ΄ΠΈΠΌΠΎΠ³ΠΎ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ, ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ 12,44β24,12 ΠΌΠ³/ΠΊΠ³ Ρ Π΄ΠΎΠ²Π΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΌΠΈ 90%-ΠΌΠΈ Π³ΡΠ°Π½ΠΈΡΠ°ΠΌΠΈ Π΄Π»Ρ Π½ΠΈΠΆΠ½Π΅Π³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π»Π° 10,15β13,66, Π²Π΅ΡΡ
Π½Π΅Π³ΠΎ β 22,73β26,49 ΠΌΠ³/ΠΊΠ³
Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΈ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π°Π·ΠΎΡΠΈΡΡΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° Ρ ΠΊΡΡΠΏΠ½ΠΎΠ³ΠΎ ΡΠΎΠ³Π°ΡΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ° Π³ΠΎΠ»ΡΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ
It is necessary to assess the state of nitrogen metabolism to deepen control over the usefulness of feeding cattle and ensure prompt response to nutritional imbalances and diet adjustments. Nitrogen balance is a key indicator of cattle metabolism. The authors presented the results of determining the content and variability of indicators of nitrogen metabolism in Holstein cattle in Western Siberia. The object of the study was the bulls of the Holstein breed, obtained from four sires in the conditions of industrial livestock enterprises in the West Siberian region. The authors also studied the main indicators of protein and non-protein nitrogen metabolism (using Vector-Best reagent kits): total protein, albumin, globulin, urea, creatinine, and uric acid. It was found that the indicators of total protein, albumin, globulins, urea, and uric acid were within the generally accepted boundaries of the physiological norm for cattle. However, the albumin-globulin coefficient was below the norm, and the creatinine level was above the physiological norm. The content of urea and creatinine and the albuminglobulin coefficient were characterized by the highest rates of variability, which indicates the heterogeneity of this population sample of Holstein cattle in terms of the peculiarities of the course of protein metabolism. The authors did not reveal statistically significant intergroup differences in the content of total protein (p = 0.67), albumin (p = 0.23), globulins (p = 0.87), albumin-globulin coefficient (p = 0.96) and urinary acids (p = 0.31) using the Kruskal-Wallis test. However, the authors established the influence of the father on the level of urea (p = 0.049) and creatinine (p = 0.042) in the blood serum of the offspring. The analysis of the protein gram and the level of uric acid in the blood serum of the offspring did not reveal significant differences in the influence of the father while differences were established in the level of end products of protein metabolism - urea and creatinine.ΠΠ»Ρ ΡΠ³Π»ΡΠ±Π»Π΅Π½ΠΈΡ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ Π½Π°Π΄ ΠΏΠΎΠ»Π½ΠΎΡΠ΅Π½Π½ΠΎΡΡΡΡ ΠΊΠΎΡΠΌΠ»Π΅Π½ΠΈΡ ΠΊΡΡΠΏΠ½ΠΎΠ³ΠΎ ΡΠΎΠ³Π°ΡΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ° ΠΈ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠ΅Π°Π³ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½Π° ΠΏΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠ΅ Π΄ΠΈΡΠ±Π°Π»Π°Π½ΡΡ ΠΈ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²ΠΊΠΈ ΡΠ°ΡΠΈΠΎΠ½ΠΎΠ² ΡΠ»Π΅Π΄ΡΠ΅Ρ ΠΎΡΠ΅Π½ΠΈΠ²Π°ΡΡ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ Π°Π·ΠΎΡΠΈΡΡΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π°. ΠΠ°Π»Π°Π½Ρ Π°Π·ΠΎΡΠ° β ΡΡΠΎ ΠΊΠ»ΡΡΠ΅Π²ΠΎΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΠΎΠ±ΠΌΠ΅Π½Π° Π²Π΅ΡΠ΅ΡΡΠ² Ρ ΠΊΡΡΠΏΠ½ΠΎΠ³ΠΎ ΡΠΎΠ³Π°ΡΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ°. ΠΠ·Π»ΠΎΠΆΠ΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΈ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π°Π·ΠΎΡΠΈΡΡΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° ΠΊΡΡΠΏΠ½ΠΎΠ³ΠΎ ΡΠΎΠ³Π°ΡΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ° Π³ΠΎΠ»ΡΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ. ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΡΡΡΠΏΠΈΠ»ΠΈ Π±ΡΡΠΊΠΈ Π³ΠΎΠ»ΡΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΠΎΡ ΡΠ΅ΡΡΡΠ΅Ρ
Π±ΡΠΊΠΎΠ²-ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΠΎΠ²ΠΎΠ΄ΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ Π½Π° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ ΠΠ°ΠΏΠ°Π΄Π½ΠΎ-Π‘ΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π°. ΠΠ·ΡΡΠ΅Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ ΠΈ Π½Π΅Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ Π°Π·ΠΎΡΠΈΡΡΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° (Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π½Π°Π±ΠΎΡΠΎΠ² ΡΠ΅Π°Π³Π΅Π½ΡΠΎΠ² Β«ΠΠ΅ΠΊΡΠΎΡΠΠ΅ΡΡΒ»): ΠΎΠ±ΡΠΈΠΉ Π±Π΅Π»ΠΎΠΊ, Π°Π»ΡΠ±ΡΠΌΠΈΠ½, Π³Π»ΠΎΠ±ΡΠ»ΠΈΠ½, ΠΌΠΎΡΠ΅Π²ΠΈΠ½Π°, ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½, ΠΌΠΎΡΠ΅Π²Π°Ρ ΠΊΠΈΡΠ»ΠΎΡΠ°. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΎΠ±ΡΠ΅Π³ΠΎ Π±Π΅Π»ΠΊΠ°, Π°Π»ΡΠ±ΡΠΌΠΈΠ½ΠΎΠ², Π³Π»ΠΎΠ±ΡΠ»ΠΈΠ½ΠΎΠ², ΠΌΠΎΡΠ΅Π²ΠΈΠ½Ρ ΠΈ ΠΌΠΎΡΠ΅Π²ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΡ Π½Π°Ρ
ΠΎΠ΄ΠΈΠ»ΠΈΡΡ Π² ΠΎΠ±ΡΠ΅ΠΏΡΠΈΠ½ΡΡΡΡ
Π³ΡΠ°Π½ΠΈΡΠ°Ρ
ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π½ΠΎΡΠΌΡ Π΄Π»Ρ ΠΊΡΡΠΏΠ½ΠΎΠ³ΠΎ ΡΠΎΠ³Π°ΡΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ°. ΠΠ΄Π½Π°ΠΊΠΎ Π°Π»ΡΠ±ΡΠΌΠΈΠ½-Π³Π»ΠΎΠ±ΡΠ»ΠΈΠ½ΠΎΠ²ΡΠΉ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ Π±ΡΠ» Π½ΠΈΠΆΠ΅ Π½ΠΎΡΠΌΡ, Π° ΡΡΠΎΠ²Π΅Π½Ρ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π° β Π²ΡΡΠ΅ ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π½ΠΎΡΠΌΡ. Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΌΠΎΡΠ΅Π²ΠΈΠ½Ρ ΠΈ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π° ΠΈ Π°Π»ΡΠ±ΡΠΌΠΈΠ½-Π³Π»ΠΎΠ±ΡΠ»ΠΈΠ½ΠΎΠ²ΡΠΉ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΈΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΠΈ, ΡΡΠΎ Π³ΠΎΠ²ΠΎΡΠΈΡ ΠΎ Π½Π΅ΠΎΠ΄Π½ΠΎΡΠΎΠ΄Π½ΠΎΡΡΠΈ Π΄Π°Π½Π½ΠΎΠΉ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΎΠ½Π½ΠΎΠΉ Π²ΡΠ±ΠΎΡΠΊΠΈ Π³ΠΎΠ»ΡΡΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ° ΠΏΠΎ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΠΌ ΠΏΡΠΎΡΠ΅ΠΊΠ°Π½ΠΈΡ Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π°. Π‘ ΠΏΠΎΠΌΠΎΡΡΡ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΡΠ°ΡΠΊΠ΅Π»Π°-Π£ΠΎΠ»Π»ΠΈΡΠ° Π½Π΅ Π±ΡΠ»ΠΎ Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΠΌΠ΅ΠΆΠ³ΡΡΠΏΠΏΠΎΠ²ΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΠΏΠΎ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΎΠ±ΡΠ΅Π³ΠΎ Π±Π΅Π»ΠΊΠ° (Ρ = 0,67), Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° (Ρ = 0,23), Π³Π»ΠΎΠ±ΡΠ»ΠΈΠ½ΠΎΠ² (Ρ = 0,87), Π°Π»ΡΠ±ΡΠΌΠΈΠ½-Π³Π»ΠΎΠ±ΡΠ»ΠΈΠ½ΠΎΠ²ΠΎΠ³ΠΎ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° (Ρ = 0,96) ΠΈ ΠΌΠΎΡΠ΅Π²ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΡ (Ρ = 0,31), ΠΎΠ΄Π½Π°ΠΊΠΎ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΎΡΡΠ° Π½Π° ΡΡΠΎΠ²Π΅Π½Ρ ΠΌΠΎΡΠ΅Π²ΠΈΠ½Ρ (Ρ = 0,049) ΠΈ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π° (Ρ = 0,042) Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ ΠΏΠΎΡΠΎΠΌΠΊΠΎΠ². ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΡΠΎΡΠ΅ΠΈΠ½ΠΎΠ³ΡΠ°ΠΌΠΌΡ ΠΈ ΡΡΠΎΠ²Π½Ρ ΠΌΠΎΡΠ΅Π²ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΡ ΡΡΠ²ΠΎΡΠΎΡΠΊΠΈ ΠΊΡΠΎΠ²ΠΈ ΠΏΠΎΡΠΎΠΌΠΊΠΎΠ² Π½Π΅ Π²ΡΡΠ²ΠΈΠ» Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΎΡΡΠ°, ΠΏΡΠΈ ΡΡΠΎΠΌ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Ρ ΡΠ°Π·Π»ΠΈΡΠΈΡ ΠΏΠΎ ΡΡΠΎΠ²Π½Ρ ΠΊΠΎΠ½Π΅ΡΠ½ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° β ΠΌΠΎΡΠ΅Π²ΠΈΠ½Ρ ΠΈ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π°
ΠΠΠΠ―ΠΠΠ ΠΠΠΠΠ’ΠΠΠ ΠΠ«ΠΠΠ-ΠΠ ΠΠΠΠΠΠΠΠ’ΠΠΠΠ ΠΠΠΠ¨Π’ΠΠΠ‘ΠΠΠ ΠΠΠ ΠΠΠ« ΠΠ Π£Π ΠΠΠΠΠ¬ ΠΠΠΠΠ’ΠΠ Π«Π₯ ΠΠΠΠΠΠΠ’ΠΠΠΠ ΠΠΠΠ’ΠΠ‘Π’ΠΠΠ ΠΠΠΠΠΠ ΠΠΠ’ΠΠΠ‘Π’ΠΠ Π Π£Π‘ΠΠΠΠΠ―Π₯ ΠΠΠΠΠΠΠΠ Π‘ΠΠΠΠ Π
The results of studies of indicators of nitrogen metabolism in the blood serum of the descendants of four bulls at the age of 12-13 months are presented. The studies were conducted in the South of Western Siberia at Vaganovo OJSC on the livestock population of Holstein breed. The creatinine concentration in the blood serum samples of the sons was determined using a set of reagents from Vector-Best (Russia). In the regions of animal breeding, constant monitoring of water, soil, feed, animal organs and tissues is carried out. It was established that in the areas in which the studied breeds were bred, the content of macro- and microelements did not exceed the MPC. The level of serum creatinine in the examined animals on average for all groups of sons was 308.2 Β± 24.1 ΞΌmol / L, which exceeds the generally accepted valuesΒ Β of this indicator. However, taking into account age and sex and breed characteristics, taking into account data on the overall health of the animals examined, information on the ecological well-being of the breeding zone, the results can be considered as reference valuesΒ Β for healthy Holstein bulls in Western Siberia. It was shown that in the blood serum of the sons of some fathers, the creatinine content was 1.7 times higher (364.2 Β± 52.7 ΞΌmol / L) than in the descendants of other manufacturers (p> 0.95). A group of half-siblings was found, which were characterized by a low hereditary predisposition to creatinine content. Discovered differences in the creatinine content in the blood serum of sons reflect the differentiation of bulls and indicate genetically determined features of the functioning of the homeostasis system. In this case, most likely, there is a different ability of descendants to adapt to environmental and climatic conditions.ΠΠ·Π»ΠΎΠΆΠ΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π°Π·ΠΎΡΠΈΡΡΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ ΠΏΠΎΡΠΎΠΌΠΊΠΎΠ² ΡΠ΅ΡΡΡΠ΅Ρ
Π±ΡΠΊΠΎΠ²-ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 12β13 ΠΌΠ΅ΡΡΡΠ΅Π². ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Ρ Π½Π° ΡΠ³Π΅ ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ Π² ΠΠΠ Β«ΠΠ°Π³Π°Π½ΠΎΠ²ΠΎΒ» Π½Π° ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ ΡΠΊΠΎΡΠ° Π³ΠΎΠ»ΡΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ. ΠΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π° Π² ΠΏΡΠΎΠ±Π°Ρ
ΡΡΠ²ΠΎΡΠΎΡΠΊΠΈ ΠΊΡΠΎΠ²ΠΈ ΡΡΠ½ΠΎΠ²Π΅ΠΉ Π±ΡΠ»Π° ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π° Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π½Π°Π±ΠΎΡΠ° ΡΠ΅Π°ΠΊΡΠΈΠ²ΠΎΠ² ΡΠΈΡΠΌΡ Β«ΠΠ΅ΠΊΡΠΎΡ-ΠΠ΅ΡΡΒ» (Π ΠΎΡΡΠΈΡ). Π ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΡΠ°Π·Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΠΉ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³ Π²ΠΎΠ΄Ρ, ΠΏΠΎΡΠ²Ρ, ΠΊΠΎΡΠΌΠΎΠ², ΠΎΡΠ³Π°Π½ΠΎΠ² ΠΈ ΡΠΊΠ°Π½Π΅ΠΉ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π² ΡΠ°ΠΉΠΎΠ½Π°Ρ
, Π² ΠΊΠΎΡΠΎΡΡΡ
ΡΠ°Π·Π²ΠΎΠ΄ΠΈΠ»ΠΈΡΡ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΠ΅ ΠΏΠΎΡΠΎΠ΄Ρ, ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΌΠ°ΠΊΡΠΎ- ΠΈ ΠΌΠΈΠΊΡΠΎΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² Π½Π΅ ΠΏΡΠ΅Π²ΡΡΠ°Π»ΠΎ ΠΠΠ. Π£ΡΠΎΠ²Π΅Π½Ρ ΡΡΠ²ΠΎΡΠΎΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π° Ρ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ ΠΏΠΎ Π²ΡΠ΅ΠΌ Π³ΡΡΠΏΠΏΠ°ΠΌ ΡΡΠ½ΠΎΠ²Π΅ΠΉ ΡΠΎΡΡΠ°Π²ΠΈΠ» 308,2Β±24,1 ΠΌΠΊΠΌΠΎΠ»Ρ/Π», ΡΡΠΎ ΠΏΡΠ΅Π²ΡΡΠ°Π΅Ρ ΠΎΠ±ΡΠ΅ΠΏΡΠΈΠ½ΡΡΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ. ΠΠ΄Π½Π°ΠΊΠΎ ΡΡΠΈΡΡΠ²Π°Ρ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΠ΅ ΠΈ ΠΏΠΎΡΠΎΠ΄Π½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ, ΠΏΡΠΈΠ½ΠΈΠΌΠ°Ρ Π²ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΎ ΠΏΠΎΠ»Π½ΠΎΠΌ Π·Π΄ΠΎΡΠΎΠ²ΡΠ΅ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
, ΡΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎΠ± ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΌ Π±Π»Π°Π³ΠΎΠΏΠΎΠ»ΡΡΠΈΠΈ Π·ΠΎΠ½Ρ ΡΠ°Π·Π²Π΅Π΄Π΅Π½ΠΈΡ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΠΎΠΆΠ½ΠΎ ΡΡΠΈΡΠ°ΡΡ ΡΠ΅ΡΠ΅ΡΠ΅Π½ΡΠ½ΡΠΌΠΈ Π·Π½Π°ΡΠ΅Π½ΠΈΡΠΌΠΈ Π΄Π»Ρ Π·Π΄ΠΎΡΠΎΠ²ΡΡ
Π±ΡΠΊΠΎΠ² Π³ΠΎΠ»ΡΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ ΡΡΠ½ΠΎΠ²Π΅ΠΉ Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
ΠΎΡΡΠΎΠ² ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π° Π±ΡΠ»ΠΎ Π² 1,7 ΡΠ°Π·Π° Π²ΡΡΠ΅ (364,2Β±52,7 ΠΌΠΊΠΌΠΎΠ»Ρ/Π»), ΡΠ΅ΠΌ Ρ ΠΏΠΎΡΠΎΠΌΠΊΠΎΠ² Π΄ΡΡΠ³ΠΈΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ (p>0,95). ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½Π° Π³ΡΡΠΏΠΏΠ° ΠΏΠΎΠ»ΡΡΠΈΠ±ΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΡΠ»ΠΈΡΠ°Π»ΠΈΡΡ Π½ΠΈΠ·ΠΊΠΎΠΉ Π½Π°ΡΠ»Π΅Π΄ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΏΡΠ΅Π΄ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½Π½ΠΎΡΡΡΡ ΠΊ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π°. ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½Π½ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ ΠΏΠΎ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π° Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ ΡΡΠ½ΠΎΠ²Π΅ΠΉ ΠΎΡΡΠ°ΠΆΠ°ΡΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΡ Π±ΡΠΊΠΎΠ²-ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈ ΡΠΊΠ°Π·ΡΠ²Π°ΡΡ Π½Π° Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈ Π΄Π΅ΡΠ΅ΡΠΌΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ Π³ΠΎΠΌΠ΅ΠΎΡΡΠ°Π·Π°. ΠΡΠΈ ΡΡΠΎΠΌ, Π²Π΅ΡΠΎΡΡΠ½Π΅Π΅ Π²ΡΠ΅Π³ΠΎ, Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ ΠΈ ΡΠ°Π·Π½Π°Ρ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΠΏΠΎΡΠΎΠΌΠΊΠΎΠ² Π°Π΄Π°ΠΏΡΠΈΡΠΎΠ²Π°ΡΡΡΡ ΠΊ ΡΠΊΠΎΠ»ΠΎΠ³ΠΎ-ΠΊΠ»ΠΈΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΡΡΠ»ΠΎΠ²ΠΈΡΠΌ
ΠΠ°ΡΡΠ½ΠΎ-ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΎΠ½Π½ΠΎ-ΠΏΠ»Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ Π² ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΌ ΡΠΊΠΎΡΠΎΠ²ΠΎΠ΄ΡΡΠ²Π΅ ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ
In the article, the authors presented the main achievements and problems of developing dairy cattle breeding associated with selection and breeding work in the Novosibirsk region. It is necessary to solve the following tasks step by step for the purpose of the sustainable, progressive development of the industry and improvement of selection and breeding work with dairy cattle in the region: the creation of a regional/regional council for breeding work; organization of the Novosibirsk tribal union of dairy industry enterprises; formation of an assistant service based on the Novosibirsk State Agrarian University (NSAU) in cooperation with the Siberian Federal Scientific Center for Agrobiotechnologies of the Russian academy of sciences and JSC Novosibirskagroplem (RSIC β Regional Selection and Information Center); formation of a unified global database of breeding resources of the Siberian Federal District (SFD), the central regions of the Russian Federation, member countries of the EAEU (Eurasian Economic Union) using foreign data sources; development and implementation of an information and analytical system that allows you to automate selection and breeding work at the level of the economy, region, country/countries; automating the process of phenotyping of dairy cattle and improving the quality of the work of assessors (classifiers) of the exterior. The implementation of the tasks outlined will contribute to the consolidation of approaches at the regional level. It will lead to an increase in the quality of primary zootechnical accounting, which, in turn, will allow the assessment of the genetic potential of dairy cattle productivity, taking into account regional specifics, with high accuracy. It is expected that the result of such activities will be the development of appropriate domestic software tools for gaining technological sovereignty and ensuring the food security of the region and the country.ΠΡΠ²Π΅ΡΠ΅Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡ ΠΈ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠΊΠΎΡΠΎΠ²ΠΎΠ΄ΡΡΠ²Π°, ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΎΠ½Π½ΠΎ-ΠΏΠ»Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ Π² ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. Π‘ ΡΠ΅Π»ΡΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ, ΠΏΠΎΡΡΡΠΏΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΡΠ°ΡΠ»ΠΈ ΠΈ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΎΠ½Π½ΠΎ-ΠΏΠ»Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ Ρ ΠΌΠΎΠ»ΠΎΡΠ½ΡΠΌ ΡΠΊΠΎΡΠΎΠΌ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π΅ ΡΠ»Π΅Π΄ΡΠ΅Ρ ΠΏΠΎΡΡΠ°ΠΏΠ½ΠΎ ΡΠ΅ΡΠΈΡΡ ΡΠ»Π΅Π΄ΡΡΡΠΈΠ΅ Π·Π°Π΄Π°ΡΠΈ: ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΠΎΠ±Π»Π°ΡΡΠ½ΠΎΠ³ΠΎ/ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ²Π΅ΡΠ° ΠΏΠΎ ΠΏΠ»Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅; ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΡ ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ ΠΏΠ»Π΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΡΠ·Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ; ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π°ΡΡΠΈΡΡΠ΅Π½ΡΡΠΊΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ Π½Π° Π±Π°Π·Π΅ ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ ΠΠΠ£ Π² ΡΠΎΡΡΡΠ΄Π½ΠΈΡΠ΅ΡΡΠ²Π΅ Ρ Π‘Π€ΠΠ¦Π Π ΠΠ ΠΈ ΠΠ Β«ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠ°Π³ΡΠΎΠΏΠ»Π΅ΠΌΒ» (Π ΠΠ‘Π¦); ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π΅Π΄ΠΈΠ½ΠΎΠΉ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΠΎΠΉ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ
ΠΏΠ»Π΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠ΅ΡΡΡΡΠΎΠ² Π‘Π€Π, ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π Π€, ΡΡΡΠ°Π½-ΡΠ»Π΅Π½ΠΎΠ² ΠΠΠΠ‘ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² Π΄Π°Π½Π½ΡΡ
; ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ΅ΠΉ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΎΠ½Π½ΠΎ-ΠΏΠ»Π΅ΠΌΠ΅Π½Π½ΡΡ ΡΠ°Π±ΠΎΡΡ Π½Π° ΡΡΠΎΠ²Π½Π΅ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π°, ΡΠ΅Π³ΠΈΠΎΠ½Π°, ΡΡΡΠ°Π½Ρ/ΡΡΡΠ°Π½; Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΡΠ΅Π½ΠΎΡΠΈΠΏΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠΊΠΎΡΠ° ΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠ°Π±ΠΎΡΡ ΠΎΡΠ΅Π½ΡΠΈΠΊΠΎΠ² (ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΎΡΠΎΠ²) ΡΠΊΡΡΠ΅ΡΡΠ΅ΡΠ°. ΠΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ ΠΎΠ±ΠΎΠ·Π½Π°ΡΠ΅Π½Π½ΡΡ
Π·Π°Π΄Π°Ρ Π±ΡΠ΄Π΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΠΊΠΎΠ½ΡΠΎΠ»ΠΈΠ΄Π°ΡΠΈΠΈ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² Π½Π° ΠΎΠ±Π»Π°ΡΡΠ½ΠΎΠΌ ΡΡΠΎΠ²Π½Π΅ ΠΈ ΠΏΡΠΈΠ²Π΅Π΄ΡΡ ΠΊ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠ³ΠΎ Π·ΠΎΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΡΡΠ°, ΡΡΠΎ, Π² ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ, ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΡΡ ΠΎΡΠ΅Π½ΠΊΡ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠΊΠΎΡΠ° ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Ρ ΡΡΡΡΠΎΠΌ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠΈ Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΠΎΡΠ½ΠΎΡΡΡΡ. ΠΠΆΠΈΠ΄Π°Π΅ΡΡΡ, ΡΡΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠΌ ΡΠ°ΠΊΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΡΠ°Π½Π΅Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΡΡ
ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² Π΄Π»Ρ ΠΎΠ±ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΠ²Π΅ΡΠ΅Π½ΠΈΡΠ΅ΡΠ° ΠΈ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΈ ΡΡΡΠ°Π½Ρ
ΠΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΡΡΡ Π΄Π°Π½Π½ΡΡ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠ³ΠΎ Π·ΠΎΠΎΡΠ΅Ρ Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΡΡΠ° Π² ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΌ ΡΠΊΠΎΡΠΎΠ²ΠΎΠ΄ΡΡΠ²Π΅
The purpose of this paper is to evaluate the primary databases of zootechnical records in western Siberia. The object of the study was the records on milk productivity (milk yield during the whole lactation, milk fat content, milk protein content, amount of milk fat, amount of milk protein), duration of lactation (service period, dry period, inter-breeding period), age of the first fruitful insemination and information on the origin of 20,000 Holstein cows. The validity of the raw data was assessed by assuming a Gaussian distribution without significant human influence. For this purpose, the Anderson-Darling test and corresponding visualization using histograms and quantile-quantile plots were applied. The list of traits of milk production was based on the values of the Anderson-Darling criterion. The authors found that the highest levels of this criterion were correlated with milk fat and protein. And the indicator Β«milk yieldΒ» was practically absent from the list of traits of dairy productivity. These results can be explained by the fact that in most enterprises, the value of milk yield was higher than the appraisal threshold values. An analysis of the genealogical trees of the studied breeding enterprises was carried out, along with the use of statistical criteria. This analysis revealed the inappropriate assignment of several dozen of offspring to a single mother. Thus, the presented approach can be used to identify outliers associated with human factors. And it can also be related to improper methodological support of the sampling process and errors in the work of the laboratories of selective milk quality control associated with the sampling and delivery of samples.Π¦Π΅Π»ΡΡ Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΡΠ΅Π½ΠΊΠ° Π±Π°Π· Π΄Π°Π½Π½ΡΡ
ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠ³ΠΎ Π·ΠΎΠΎΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΡΡΠ° Π² ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ. ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π±ΡΠ»ΠΈ Π·Π°ΠΏΠΈΡΠΈ ΠΎ ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ (ΡΠ΄ΠΎΠΉ Π·Π° Π²ΡΡ Π»Π°ΠΊΡΠ°ΡΠΈΡ, ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΆΠΈΡΠ° Π² ΠΌΠΎΠ»ΠΎΠΊΠ΅, ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ Π±Π΅Π»ΠΊΠ° Π² ΠΌΠΎΠ»ΠΎΠΊΠ΅, ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΆΠΈΡΠ°, ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠ³ΠΎ Π±Π΅Π»ΠΊΠ°), Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π»Π°ΠΊΡΠ°ΡΠΈΠΈ (ΡΠ΅ΡΠ²ΠΈΡ-ΠΏΠ΅ΡΠΈΠΎΠ΄, ΡΡΡ
ΠΎΡΡΠΎΠΉΠ½ΡΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄, ΠΌΠ΅ΠΆΠΎΡΠ΅Π»ΡΠ½ΡΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄), Π²ΠΎΠ·ΡΠ°ΡΡ ΠΏΠ΅ΡΠ²ΠΎΠ³ΠΎ ΠΏΠ»ΠΎΠ΄ΠΎΡΠ²ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΎΡΠ΅ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΈ ΡΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎ ΠΏΡΠΎΠΈΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΠΈ 20000 ΠΊΠΎΡΠΎΠ² Π³ΠΎΠ»ΡΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ. ΠΡΠ΅Π½ΠΊΡ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΡΡΠΈ ΠΈΡΡ
ΠΎΠ΄Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ ΠΈΡΡ
ΠΎΠ΄Ρ ΠΈΠ· ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΎ Π³Π°ΡΡΡΠΎΠ²ΠΎΠΌ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΏΡΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΠΈ Π·Π½Π°ΡΠΈΠΌΠΎΠ³ΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ°. Π‘ ΡΡΠΎΠΉ ΡΠ΅Π»ΡΡ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ»ΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΠΉ ΠΠ½Π΄Π΅ΡΡΠΎΠ½Π°-ΠΠ°ΡΠ»ΠΈΠ½Π³Π° ΠΈ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΡΡ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π³ΠΈΡΡΠΎΠ³ΡΠ°ΠΌΠΌ ΠΈ Π³ΡΠ°ΡΠΈΠΊΠΎΠ² ΠΊΠ²Π°Π½ΡΠΈΠ»ΡβΠΊΠ²Π°Π½ΡΠΈΠ»Ρ. Π‘ΠΏΠΈΡΠΎΠΊ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π±ΡΠ» ΡΠΎΡΡΠ°Π²Π»Π΅Π½ ΠΈΡΡ
ΠΎΠ΄Ρ ΠΈΠ· Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΠ½Π΄Π΅ΡΡΠΎΠ½Π°βΠΠ°ΡΠ»ΠΈΠ½Π³Π°. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΠ°ΠΌΡΠ΅ Π²ΡΡΠΎΠΊΠΈΠ΅ ΡΡΠΎΠ²Π½ΠΈ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΡΠΎΠΎΡΠ½ΠΎΡΠΈΠ»ΠΈΡΡ Ρ ΡΠ°ΠΊΠΈΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ, ΠΊΠ°ΠΊ ΠΌΠΎΠ»ΠΎΡΠ½ΡΠΉ ΠΆΠΈΡ ΠΈ Π±Π΅Π»ΠΎΠΊ, ΡΠΎΠ³Π΄Π° ΠΊΠ°ΠΊ ΡΠ΄ΠΎΠΉ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΎΠ²Π°Π» Π² ΠΏΠ΅ΡΠ΅ΡΠ½Π΅ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ. ΠΡΠΎ ΠΎΠ±ΡΡΡΠ½ΡΠ΅ΡΡΡ ΡΠ΅ΠΌ, ΡΡΠΎ Ρ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ Π²Π΅Π»ΠΈΡΠΈΠ½Π° ΡΠ΄ΠΎΡ Π±ΡΠ»Π° Π²ΡΡΠ΅ ΠΏΠΎΡΠΎΠ³ΠΎΠ²ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ Π±ΠΎΠ½ΠΈΡΠΈΡΠΎΠ²ΠΊΠΈ. ΠΠ°ΡΡΠ΄Ρ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΡΠΈΡΠ΅ΡΠΈΠ΅Π², ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· Π³Π΅Π½Π΅Π°Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π΅ΡΠ΅Π²ΡΠ΅Π² ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΡ
ΠΏΠ»Π΅ΠΌΠ΅Π½Π½ΡΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» Π²ΡΡΠ²ΠΈΡΡ Π½Π΅ΠΏΡΠ°Π²ΠΎΠΌΠ΅ΡΠ½ΠΎΠ΅ ΠΎΡΠ½Π΅ΡΠ΅Π½ΠΈΠ΅ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
Π΄Π΅ΡΡΡΠΊΠΎΠ² ΠΏΠΎΡΠΎΠΌΠΊΠΎΠ² ΠΊ ΠΎΠ΄Π½ΠΎΠΉ ΠΌΠ°ΡΠ΅ΡΠΈ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ Π΄Π»Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ Π²ΡΠ±ΡΠΎΡΠΎΠ², ΡΠΎΠΏΡΡΠΆΠ΅Π½Π½ΡΡ
Ρ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΌ ΡΠ°ΠΊΡΠΎΡΠΎΠΌ, Π½Π΅ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΎΡΠ±ΠΎΡΠ° ΠΏΡΠΎΠ± ΠΈ ΠΎΡΠΈΠ±ΠΊΠ°ΠΌΠΈ Π² ΡΠ°Π±ΠΎΡΠ΅ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠΈΠΉ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΌΠΎΠ»ΠΎΠΊΠ°, ΡΠ²ΡΠ·Π°Π½Π½ΡΠΌΠΈ Ρ ΠΎΡΠ±ΠΎΡΠΎΠΌ ΠΏΡΠΎΠ± ΠΈ ΠΈΡ
Π΄ΠΎΡΡΠ°Π²ΠΊΠΎΠΉ
ΠΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΠΏΠ΅ΡΠΌΡ Π±ΡΠΊΠΎΠ² ΠΊΡΠ°ΡΠ½ΡΡ ΠΏΠΎΡΠΎΠ΄ ΠΠΠ ΠΏΠ»Π΅ΠΌΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠ΅ Β«ΠΠ°ΡΠ½Π°ΡΠ»ΡΡΠΊΠΎΠ΅Β» ΠΈ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ Π΅Ρ ΠΊ ΠΊΡΠΈΠΎΠΊΠΎΠ½ΡΠ΅ΡΠ²Π°ΡΠΈΠΈ
The characteristic of bulls-producers of red breeds of OAO Barnaulskoe breeding enterprise on the quality of sperm and its resistance to cryopreservation are presented. The breeding enterprise has examined samples of water, soil, feed for the content of heavy metals. In the studied samples, no excess of the LOC was found. The research results were processed on a PC using population statistics methods. Angler bulls produced the largest amount of ejaculates unsuitable for cryopreservation. It is 20.6%. According to this indicator, they surpassed the producers of red Danish and red steppe breeds by 4.1-7.8%. The animals of the latter breed showed the smallest amount (1.7%) of ejaculates rejected after defrost. In Angler bulls, this indicator was 5.95%, in red Danish bulls it was 2.95%, which is 3.52 and 1.75 times higher than in red steppe breeders (P <0.01-0.001). Significant differences were established between individual bulls of the red steppe breed in the number of ejaculates rejected before cryopreservation (2.84-22.29%) and after defrost (0-7.09%). The differences between breeds in the frequency of rejected ejaculates before freezing and after cryopreservation indicate a certain role of heredity in the resistance of animals for these indicators. Spearmanβs rank correlation coefficient between these traits was 0.312. It indicates the possibility of preliminary assessment and selection of bulls according to the first indicator. But the final assessment of the bull-producers can be made by the frequency of rejected ejaculates after thawing. We propose to consider the issue of additional accounting in breeding programs for the resistance of the seed of bulls-producers to cryopreservation.ΠΡΠΈΠ²Π΅Π΄Π΅Π½Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° Π±ΡΠΊΠΎΠ²-ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΊΡΠ°ΡΠ½ΡΡ
ΠΏΠΎΡΠΎΠ΄ ΠΠΠ ΠΠ»Π΅ΠΌΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠ΅ Β«ΠΠ°ΡΠ½Π°ΡΠ»ΡΡΠΊΠΎΠ΅Β» ΠΏΠΎ ΠΊΠ°ΡΠ΅ΡΡΠ²Ρ ΡΠΏΠ΅ΡΠΌΡ ΠΈ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ Π΅Ρ ΠΊ ΠΊΡΠΈΠΎΠΊΠΎΠ½ΡΠ΅ΡΠ²Π°ΡΠΈΠΈ. Π ΡΠ°ΠΉΠΎΠ½Π΅ ΡΠ°Π·Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΠ»Π΅ΠΌΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈ ΠΏΡΠΎΠ±Ρ Π²ΠΎΠ΄Ρ, ΠΏΠΎΡΠ²Ρ, ΠΊΠΎΡΠΌΠΎΠ² Π½Π° ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΡΡΠΆΠ΅Π»ΡΡ
ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠ². Π ΠΈΠ·ΡΡΠ΅Π½Π½ΡΡ
ΠΏΡΠΎΠ±Π°Ρ
Π½Π΅ Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΠΏΡΠ΅Π²ΡΡΠ΅Π½ΠΈΡ ΠΠΠ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±ΡΠ°Π±ΠΎΡΠ°Π½Ρ Π½Π° ΠΏΠ΅ΡΡΠΎΠ½Π°Π»ΡΠ½ΠΎΠΌ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ΅ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΎΠ½Π½ΠΎ-ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ². Π£ Π±ΡΠΊΠΎΠ² Π°Π½Π³Π»Π΅ΡΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΎ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ΅Π΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΡΠΊΡΠ»ΡΡΠΎΠ², Π½Π΅ΠΏΡΠΈΠ³ΠΎΠ΄Π½ΡΡ
Π΄Π»Ρ ΠΊΡΠΈΠΎΠΊΠΎΠ½ΡΠ΅ΡΠ²Π°ΡΠΈΠΈ, ΡΠΎΡΡΠ°Π²ΠΈΠ²ΡΠ΅Π΅ 20,6%. ΠΠΎ ΡΡΠΎΠΌΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΠΎΠ½ΠΈ ΠΏΡΠ΅Π²Π·ΠΎΡΠ»ΠΈ Π½Π° 4,1β7,8% ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΊΡΠ°ΡΠ½ΠΎΠΉ Π΄Π°ΡΡΠΊΠΎΠΉ ΠΈ ΠΊΡΠ°ΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ½ΠΎΠΉ ΠΏΠΎΡΠΎΠ΄. Π£ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅ΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΎ Π½Π°ΠΈΠΌΠ΅Π½ΡΡΠ΅Π΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ (1,7%) ΡΡΠΊΡΠ»ΡΡΠΎΠ², Π²ΡΠ±ΡΠ°ΠΊΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠΎΡΠ»Π΅ ΡΠ°Π·ΠΌΠΎΡΠ°ΠΆΠΈΠ²Π°Π½ΠΈΡ. Π£ Π±ΡΠΊΠΎΠ² Π°Π½Π³Π»Π΅ΡΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ ΡΡΠΎΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΡΠΎΡΡΠ°Π²ΠΈΠ» 5,95 %, Ρ ΠΊΡΠ°ΡΠ½ΡΡ
Π΄Π°ΡΡΠΊΠΈΡ
β 2,95 %, ΡΡΠΎ Π² 3,52 ΠΈ 1,75 ΡΠ°Π·Π° Π²ΡΡΠ΅ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΊΡΠ°ΡΠ½ΡΠΌΠΈ ΡΡΠ΅ΠΏΠ½ΡΠΌΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠΌΠΈ (P<0,01β0,001). Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Ρ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΠΌΠΈ Π±ΡΠΊΠ°ΠΌΠΈ ΠΊΡΠ°ΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ½ΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ ΠΏΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Ρ Π²ΡΠ±ΡΠ°ΠΊΠΎΠ²Π°Π½Π½ΡΡ
Π΄ΠΎ ΠΊΡΠΈΠΎΠΊΠΎΠ½ΡΠ΅ΡΠ²Π°ΡΠΈΠΈ ΡΡΠΊΡΠ»ΡΡΠΎΠ² (2,84β22,29%) ΠΈ ΠΏΠΎΡΠ»Π΅ ΡΠ°Π·ΠΌΠΎΡΠ°ΠΆΠΈΠ²Π°Π½ΠΈΡ (0β7,09%). Π Π°Π·Π»ΠΈΡΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠΎΡΠΎΠ΄Π°ΠΌΠΈ ΠΏΠΎ ΡΠ°ΡΡΠΎΡΠ΅ Π²ΡΠ±ΡΠ°ΠΊΠΎΠ²Π°Π½Π½ΡΡ
ΡΡΠΊΡΠ»ΡΡΠΎΠ² Π΄ΠΎ Π·Π°ΠΌΠΎΡΠ°ΠΆΠΈΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΠΎΡΠ»Π΅ ΠΊΡΠΈΠΎΠΊΠΎΠ½ΡΠ΅ΡΠ²Π°ΡΠΈΠΈ ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΡΡΡ ΠΎΠ± ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠΎΠ»ΠΈ Π½Π°ΡΠ»Π΅Π΄ΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ Π² ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
ΠΏΠΎ ΡΡΠΈΠΌ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌ. ΠΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ ΡΠ°Π½Π³ΠΎΠ²ΠΎΠΉ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ Π‘ΠΏΠΈΡΠΌΠ΅Π½Π° ΠΌΠ΅ΠΆΠ΄Ρ ΡΡΠΈΠΌΠΈ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ ΡΠΎΡΡΠ°Π²ΠΈΠ» 0,312, ΡΡΠΎ ΡΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π½Π° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΏΡΠ΅Π΄Π²Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈ ΠΎΡΠ±ΠΎΡΠ° Π±ΡΠΊΠΎΠ² ΠΏΠΎ ΠΏΠ΅ΡΠ²ΠΎΠΌΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ. ΠΠΎ ΠΎΠΊΠΎΠ½ΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ ΠΎΡΠ΅Π½ΠΊΡ Π±ΡΠΊΠ°-ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Ρ ΠΌΠΎΠΆΠ½ΠΎ ΡΠ΄Π΅Π»Π°ΡΡ ΠΏΠΎ ΡΠ°ΡΡΠΎΡΠ΅ Π²ΡΠ±ΡΠ°ΠΊΠΎΠ²Π°Π½Π½ΡΡ
ΡΡΠΊΡΠ»ΡΡΠΎΠ² ΠΏΠΎΡΠ»Π΅ ΡΠ°Π·ΠΌΠΎΡΠ°ΠΆΠΈΠ²Π°Π½ΠΈΡ. ΠΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅ΡΡ Π²ΠΎΠΏΡΠΎΡ ΠΎ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΌ ΡΡΠ΅ΡΠ΅ Π² ΡΠ΅Π»Π΅ΠΊΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ°Ρ
ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΡΠ΅ΠΌΠ΅Π½ΠΈ Π±ΡΠΊΠΎΠ²-ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΊ ΠΊΡΠΈΠΎΠΊΠΎΠ½ΡΠ΅ΡΠ²Π°ΡΠΈΠΈ
Development of a Predictive Model for Iron Levels in Bovine Muscle Tissue Using Hair as a Predictor
The assessment of iron levels in cattle muscle tissue is crucial for livestock management because it influences both animal health and meat quality, key factors in sustainable development. This study aimed to develop an optimal model for noninvasively predicting the iron content in Hereford cattle muscle tissue, contributing to a comprehensive understanding of the animalsβ elemental status. The research involved the atomic absorption analysis of muscle tissue and hair samples from cattle. A regression model was constructed using the least squares method to identify the most effective approach. These findings have ecological applications, aiding in evaluating environmental health and establishing acceptable iron thresholds for animals. The proposed mathematical model utilizing biomarkers (levels of Mg, K, Fe, Al, Cr in hair) will allow for the assessment of iron levels in cattle muscle tissue throughout the period of productive use, with the possibility of adjustment and tracking the changes in elemental status over time. The utilization of the developed method will enable the diagnosis of animal elementosis and assessment of the iron level burden. Subsequently, this will allow for the improvement of the qualitative characteristics of the final product. Thus, the obtained data contribute to fundamental knowledge regarding the content and variability of iron levels in the muscle tissue of cattle
ΠΠ‘Π‘ΠΠ¦ΠΠΠ¦ΠΠ― ΠΠΠΠΠΠΠ’ΠΠΠΠ ΠΠΠΠΠΠΠΠΠ ΠΠΠΠΠΠ Π‘ Π£Π ΠΠΠΠΠ Π‘ΠΠΠΠ¦Π Π ΠΠ ΠΠΠΠΠ₯ Π ΠΠ«Π¨ΠΠ§ΠΠΠ Π’ΠΠΠΠ ΠΠ―Π‘ΠΠΠΠ Π‘ΠΠΠ’Π ΠΠΠΠΠΠΠΠ Π‘ΠΠΠΠ Π
The authors found out average population levels of protein metabolism of the bulls aged 18 months. These parameters can be used as guide values for Hereford cattle in western Siberia. The paper speaks about positive correlations between biochemical parameters of protein metabolism and concentration of lead in muscles, spermaries, spleen, heart and lungs. The authors analyzed the organs and muscle tissue on lead concentration by means of atomic absorption spectrometry on spectrophotometer Shimadzu AA-7000. The researchers defined biochemical parameters on biochemical analyzer Photometer 5010. The authors assessed biochemical parameters of protein metabolism where concentration of crude protein, albumens, BUN, uric acid and creatinine was within physiological standards. The researchers observed positive correlations between the concentration of lead in lungs, muscles, spleen, spermaries and heart with parameters of protein metabolism.Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Ρ ΡΡΠ΅Π΄Π½Π΅ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΡΠΎΠ²Π½ΠΈ Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° Ρ Π±ΡΠΊΠΎΠ² Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 18 ΠΌΠ΅ΡΡΡΠ΅Π², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΏΡΠΈΠ½ΡΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²ΠΎΡΠ½ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ Π΄Π»Ρ Π³Π΅ΡΠ΅ΡΠΎΡΠ΄ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ. ΠΡΡΠ²Π»Π΅Π½Ρ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ ΠΌΠ΅ΠΆΠ΄Ρ Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° ΠΈ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ ΡΠ²ΠΈΠ½ΡΠ° Π² ΠΌΡΡΡΠ°Ρ
, ΡΠ΅ΠΌΠ΅Π½Π½ΠΈΠΊΠ°Ρ
, ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠ΅, ΡΠ΅ΡΠ΄ΡΠ΅ ΠΈ Π»Π΅Π³ΠΊΠΈΡ
. ΠΠ½Π°Π»ΠΈΠ· ΠΎΡΠ³Π°Π½ΠΎΠ² ΠΈ ΠΌΡΡΠ΅ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ Π½Π° ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΡΠ²ΠΈΠ½ΡΠ° ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π°ΡΠΎΠΌΠ½ΠΎ-Π°Π±ΡΠΎΡΠ±ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΏΠ΅ΠΊΡΡΠΎΠΌΠ΅ΡΡΠΈΠΈ Π½Π° ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΎΡΠΎΠΌΠ΅ΡΡΠ΅ Shimadzu AA-7000. ΠΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ Π½Π° Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΠΎΠ»ΡΠ°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π°ΡΠΎΡΠ΅ Photometer 5010. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π°. ΠΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΎΠ±ΡΠ΅Π³ΠΎ Π±Π΅Π»ΠΊΠ°, Π°Π»ΡΠ±ΡΠΌΠΈΠ½ΠΎΠ², ΠΌΠΎΡΠ΅Π²ΠΈΠ½Ρ, ΠΌΠΎΡΠ΅Π²ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΡ ΠΈ ΠΊΡΠ΅Π°ΡΠΈΠ½ΠΈΠ½Π° Π±ΡΠ»ΠΈ Π² ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π½ΠΎΡΠΌΡ. ΠΡΡΠ²Π»Π΅Π½Ρ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ ΡΠ²ΠΈΠ½ΡΠ° Π² Π»Π΅Π³ΠΊΠΈΡ
, ΠΌΡΡΡΠ°Ρ
, ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠ΅, ΡΠ΅ΠΌΠ΅Π½Π½ΠΈΠΊΠ°Ρ
ΠΈ ΡΠ΅ΡΠ΄ΡΠ΅ Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ Π±Π΅Π»ΠΊΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π°
Characterizing physiological status in three breeds of bulls reared under ecological and climate conditions of the Altai region
Ecological and climatic factors have an impact on the health, productivity and reproduction of the cattle. The goal of this work is the study of physiological status of servicing bulls reared under ecological and climate conditions of the Altai region, by defining the differences between Red-Steppe, Simmental and Black-and-White breeds in spermatogenic, hormonal, biochemical and hematological parameters. Samples of peripheral blood and ejaculates were taken from 48 grown-up servicing bulls (average age 5.6Β±0.3 years) in autumn period. It was established that Red-Steppe bulls have higher concentrations of nonorganic phosphorus, leucocytes, erythrocytes, hemoglobin, hematocrit and erythrocyte sedimentation rate in comparison with animals of Simmental breed, and the hemoglobin concentration and hematocrit are also higher in comparison with Black-and-White breed. It was noted that bulls of Black-and-White breed have a higher level of cortisol in comparison with the other breeds. The lowest level of serum urea and total protein and increased serum activity of creatine kinase and Ξ³-glutamyl transferase, as well as the heaviest body weight were observed in Simmental breed bulls. The differences between breeds in a wide spectrum of physiological measures reflect not only genetically determined peculiarities of homeostatic mechanism, but also may reflect different ability to adapt to local ecological and climate conditions of the Altai region. Spermatogenic, biochemical and hematological measures in bull sires reared in the Altai region were similar to those in bulls bred in other Russian regions and some other countries. The measures reported could serve as reference values and therefore represent βnormalβ values of physiological status for these bull sires reared in this ecological and climatic zone, but could be utilized in further studies for comprehensive monitoring of cattle breeding stock in other ecological and climatic zones of the Siberian region of Russia