11 research outputs found
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
Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΌΠ΅Π΄ΠΈ Π² ΠΏΠ°ΡΠ΅Π½Ρ ΠΈΠΌΠ°ΡΠΎΠΎΠ·Π½ΡΡ ΠΎΡΠ³Π°Π½Π°Ρ ΡΠ²ΠΈΠ½Π΅ΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π»Π°Π½Π΄ΡΠ°Ρ
Results of the evaluation of copper levels in the liver, kidneys, lungs, and spleen of Landrace pigs are presented. Studies were performed on clinically healthy six-month-old animals bred in a large pig farm in Altai Krai. Animal housing conditions were standard, typical for meat-fattening feeding was used. The authors performed an elemental analysis of samples of parenchymal organs using atomic absorption spectrometry with flame and electrothermal atomization. The data were processed using Microsoft Office Excel and the R programming language in the RStudio data analysis environment version 2022.07.2+576 (RStudio, PBC). It was found that the distribution in the case of copper accumulation in the kidneys and lungs was different from usual, and the dispersions were not homogeneous. Based on the mean value and median, the authors established an increasing ranked series of the copper content in the organs: spleen < lungs < kidneys < liver, in numerical terms: 1: 1.1: 6.4: 7.5. Median copper values in the liver, kidneys, lungs, and spleen were 6.25; 5.02; 0.88; and 0.83 mg/ kg, respectively. More excellent uniformity is characteristic of copper accumulation in the lungs and spleen. Using the Kraskell-Wallis criterion, we found that the collection of copper varies significantly in the organs under study (H = 80.03, df = 3, p < 0.0001). Pairwise comparison showed significant differences for pairs: βliver - lungsβ (p < 0.0001), βkidneys - lungsβ (p < 0.0001), βliver - spleenβ (p < 0.0001), βkidneys - spleenβ (p < 0.0001). Cluster analysis revealed two groups: βlungs - spleenβ and βliver - kidneys,β which differ significantly in the level of copper accumulation. The data obtained can be used to calculate the corresponding standard values of the copper content in the liver, kidneys, lungs, and spleen of Landrace pigs under the conditions of Western Siberia.ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠΎΠ²Π½Ρ ΠΌΠ΅Π΄ΠΈ Π² ΠΏΠ΅ΡΠ΅Π½ΠΈ, ΠΏΠΎΡΠΊΠ°Ρ
, Π»Π΅Π³ΠΊΠΈΡ
ΠΈ ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠ΅ ΡΠ²ΠΈΠ½Π΅ΠΉ Π»Π°Π½Π΄ΡΠ°ΡΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΠΏΠΎΠ»Π½Π΅Π½Ρ Π½Π° ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈ Π·Π΄ΠΎΡΠΎΠ²ΡΡ
ΡΠ΅ΡΡΠΈΠΌΠ΅ΡΡΡΠ½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
, Π²ΡΡΠ°ΡΠ΅Π½Π½ΡΡ
Π² ΠΊΡΡΠΏΠ½ΠΎΠΌ ΡΠ²ΠΈΠ½ΠΎΠ²ΠΎΠ΄ΡΠ΅ΡΠΊΠΎΠΌ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅ ΠΠ»ΡΠ°ΠΉΡΠΊΠΎΠ³ΠΎ ΠΊΡΠ°Ρ. Π£ΡΠ»ΠΎΠ²ΠΈΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΎΠ²Π°Π»ΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΠΌ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΎΡΡ ΡΠΈΠΏΠΎΠ²ΠΎΠ΅ Π΄Π»Ρ ΠΌΡΡΠ½ΠΎΠ³ΠΎ ΠΎΡΠΊΠΎΡΠΌΠ° ΠΊΠΎΡΠΌΠ»Π΅Π½ΠΈΠ΅. ΠΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΡΠΎΠ± ΠΏΠ°ΡΠ΅Π½Ρ
ΠΈΠΌΠ°ΡΠΎΠ·Π½ΡΡ
ΠΎΡΠ³Π°Π½ΠΎΠ² Π²ΡΠΏΠΎΠ»Π½ΡΠ»ΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π°ΡΠΎΠΌΠ½ΠΎ-Π°Π±ΡΠΎΡΠ±ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΏΠ΅ΠΊΡΡΠΎΠΌΠ΅ΡΡΠΈΠΈ Ρ ΠΏΠ»Π°ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ΅ΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°ΡΠΎΠΌΠΈΠ·Π°ΡΠΈΠ΅ΠΉ. ΠΠ±ΡΠ°Π±ΠΎΡΠΊΡ Π΄Π°Π½Π½ΡΡ
ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Microsoft Office Excel ΠΈ ΡΠ·ΡΠΊΠ° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ R Π² ΡΡΠ΅Π΄Π΅ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½ΡΡ
RStudio Π²Π΅ΡΡΠΈΠΈ 2022.07.2+576 (RStudio, PBC). Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π² ΡΠ»ΡΡΠ°Π΅ Π°ΠΊΠΊΡΠΌΡΠ»ΡΡΠΈΠΈ ΠΌΠ΅Π΄ΠΈ Π² ΠΏΠΎΡΠΊΠ°Ρ
ΠΈ Π»Π΅Π³ΠΊΠΈΡ
ΠΎΡΠ»ΠΈΡΠ°Π»ΠΎΡΡ ΠΎΡ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠ³ΠΎ, Π΄ΠΈΡΠΏΠ΅ΡΡΠΈΠΈ Π½Π΅ Π³ΠΎΠΌΠΎΠ³Π΅Π½Π½Ρ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ΅Π΄Π½Π΅Π³ΠΎ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΈ ΠΌΠ΅Π΄ΠΈΠ°Π½Ρ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ Π²ΠΎΠ·ΡΠ°ΡΡΠ°ΡΡΠΈΠΉ ΡΠ°Π½ΠΆΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ ΡΡΠ΄ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈ Π² ΠΎΡΠ³Π°Π½Π°Ρ
: ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠ° < Π»Π΅Π³ΠΊΠΈΠ΅ < ΠΏΠΎΡΠΊΠΈ < ΠΏΠ΅ΡΠ΅Π½Ρ, Π² ΡΠΈΡΠ»ΠΎΠ²ΠΎΠΌ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΠΈ: 1 : 1,1 : 6,4 : 7,5. ΠΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΌΠ΅Π΄ΠΈ, ΠΎΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΌΠ΅Π΄ΠΈΠ°Π½ΠΎΠΉ, Π² ΠΏΠ΅ΡΠ΅Π½ΠΈ, ΠΏΠΎΡΠΊΠ°Ρ
, Π»Π΅Π³ΠΊΠΈΡ
ΠΈ ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠΈ ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ 6,25; 5,02; 0,88 ΠΈ 0,83 ΠΌΠ³/ΠΊΠ³. ΠΠΎΠ»ΡΡΠ°Ρ ΠΎΠ΄Π½ΠΎΡΠΎΠ΄Π½ΠΎΡΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½Π° Π΄Π»Ρ Π°ΠΊΠΊΡΠΌΡΠ»ΡΡΠΈΠΈ ΠΌΠ΅Π΄ΠΈ Π² Π»Π΅Π³ΠΊΠΈΡ
ΠΈ ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠ΅. Π‘ ΠΏΠΎΠΌΠΎΡΡΡ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΡΠ°ΡΠΊΠ΅Π»Π°-Π£ΠΎΠ»Π»ΠΈΡΠ° ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π°ΠΊΠΊΡΠΌΡΠ»ΡΡΠΈΡ ΠΌΠ΅Π΄ΠΈ Π·Π½Π°ΡΠΈΠΌΠΎ ΡΠ°Π·Π»ΠΈΡΠ°Π΅ΡΡΡ Π² ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΡ
ΠΎΡΠ³Π°Π½Π°Ρ
(H = 80,03, df = 3, p < 0,0001). ΠΠΎΠΏΠ°ΡΠ½ΠΎΠ΅ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΠΏΡΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π»ΠΎ Π·Π½Π°ΡΠΈΠΌΡΠ΅ ΠΎΡΠ»ΠΈΡΠΈΡ Π΄Π»Ρ ΠΏΠ°Ρ: Β«ΠΏΠ΅ΡΠ΅Π½Ρ β Π»Π΅Π³ΠΊΠΈΠ΅Β» (p < 0,0001), Β«ΠΏΠΎΡΠΊΠΈ β Π»Π΅Π³ΠΊΠΈΠ΅Β» (p < 0,0001), Β«ΠΏΠ΅ΡΠ΅Π½Ρ β ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠ°Β» (p < 0,0001), Β«ΠΏΠΎΡΠΊΠΈ β ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠ°Β» (p < 0,0001). ΠΠ»Π°ΡΡΠ΅ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π²ΡΡΠ²ΠΈΠ» Π΄Π²Π΅ Π³ΡΡΠΏΠΏΡ: Β«Π»Π΅Π³ΠΊΠΈΠ΅ β ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠ°Β» ΠΈ Β«ΠΏΠ΅ΡΠ΅Π½Ρ β ΠΏΠΎΡΠΊΠΈΒ», Π·Π½Π°ΡΠΈΠΌΠΎ ΠΎΡΠ»ΠΈΡΠ°ΡΡΠΈΠ΅ΡΡ ΡΡΠΎΠ²Π½Π΅ΠΌ Π°ΠΊΠΊΡΠΌΡΠ»ΡΡΠΈΠΈ ΠΌΠ΅Π΄ΠΈ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΌΠΎΠ³ΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡΡΡ Π΄Π»Ρ ΡΠ°ΡΡΠ΅ΡΠ° ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
Π½ΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈ Π² ΠΏΠ΅ΡΠ΅Π½ΠΈ, ΠΏΠΎΡΠΊΠ°Ρ
, Π»Π΅Π³ΠΊΠΈΡ
ΠΈ ΡΠ΅Π»Π΅Π·Π΅Π½ΠΊΠ΅ ΡΠ²ΠΈΠ½Π΅ΠΉ Π»Π°Π½Π΄ΡΠ°ΡΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ
Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΈ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡ ΡΠ΅ΡΡΠΎΡΡΠ΅ΡΠΎΠ½Π° Ρ Π²Π·ΡΠΎΡΠ»ΡΡ ΠΈ ΠΌΠΎΠ»ΠΎΠ΄ΡΡ Π±Π°ΡΠ°Π½ΠΎΠ² ΡΠΎΠΌΠ°Π½ΠΎΠ²ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ
In the article, the authors conducted a comprehensive study of the interior, including biochemical, physiological, physicochemical, cytogenetic, and other indicators in sheep of the Romanov breed of Western Siberia. For the study, blood serum samples were taken from 10 rams-producers and 30 lambs at four months. Conventional methods took blood samples. Analyses were performed in the biochemistry laboratory of Novosibirsk State Agrarian University using the technique of competitive enzyme immunoassay with the reagent kit βSteroidIFAtestosteroneβ for the quantitative determination of testosterone concentration in blood serum. In the sheep breeding area, the authors constantly monitored the content of heavy metals in water, soil, feed, organs, and tissues. The concentration of chemical elements did not exceed the permissible exposure limit. Enzyme-linked immunosorbent assay was performed on a Thermo Scientific Multiskan FC analyzer. The authors performed statistical processing of experimental data using standard methods of descriptive statistics, the statistical programming language, or the RStudio data analysis environment (using the functions DescrStats, Summary, Sd, Read. Table, Write. Table, Aes). The authors established the influence of the age of ontogenesis on the testosterone content in Romanov rams. Presented figure with two variation curves with high transgression. The average testosterone level was 1.8 times higher in lambs (0.774 mmol/l) than in lambs. Testosterone concentration was characterized by high phenotypic variability. The authors have identified reference intervals for testosterone in blood serum depending on environmental conditions in sheep of the Romanov breed of Western Siberia.Π£ ΠΎΠ²Π΅Ρ ΡΠΎΠΌΠ°Π½ΠΎΠ²ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ Π² ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ΅ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠ°, Π²ΠΊΠ»ΡΡΠ°ΡΡΠ΅Π΅ Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅, ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅, ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅, ΡΠΈΡΠΎΠ³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ Π΄ΡΡΠ³ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ. ΠΠ»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²Π·ΡΡΡ ΠΏΡΠΎΠ±Ρ ΡΡΠ²ΠΎΡΠΎΡΠΊΠΈ ΠΊΡΠΎΠ²ΠΈ Ρ 10 Π±Π°ΡΠ°Π½ΠΎΠ² - ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈ 30 Π±Π°ΡΠ°Π½ΡΠΈΠΊΠΎΠ² Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 4 ΠΌΠ΅ΡΡΡΠ΅Π². ΠΠ±ΡΠ°Π·ΡΡ ΠΊΡΠΎΠ²ΠΈ ΠΎΡΠΎΠ±ΡΠ°Π½Ρ ΠΏΠΎ ΠΎΠ±ΡΠ΅ΠΏΡΠΈΠ½ΡΡΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ°ΠΌ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈΡΡ Π² Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠΈΠΈ Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΠΈ ΠΠΎΠ²ΠΎΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π³ΡΠ°ΡΠ½ΠΎΠ³ΠΎ ΡΠ½ΠΈΠ²Π΅ΡΡΠΈΡΠ΅ΡΠ° Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅ΡΠΌΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Ρ Π½Π°Π±ΠΎΡΠΎΠΌ ΡΠ΅Π°Π³Π΅Π½ΡΠΎΠ² Β«Π‘ΡΠ΅ΡΠΎΠΈΠ΄ΠΠ€Π-ΡΠ΅ΡΡΠΎΡΡΠ΅ΡΠΎΠ½Β» Π΄Π»Ρ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΡΠ΅ΡΡΠΎΡΡΠ΅ΡΠΎΠ½Π° Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ. Π Π·ΠΎΠ½Π΅ ΡΠ°Π·Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΎΠ²Π΅Ρ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΡΠΉ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΡΡΠΆΠ΅Π»ΡΡ
ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠ² Π² Π²ΠΎΠ΄Π΅, ΠΏΠΎΡΠ²Π΅, ΠΊΠΎΡΠΌΠ°Ρ
, ΠΎΡΠ³Π°Π½Π°Ρ
ΠΈ ΡΠΊΠ°Π½ΡΡ
. ΠΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² Π½Π΅ ΠΏΡΠ΅Π²ΡΡΠ°Π»Π° ΡΡΠΎΠ²Π½Ρ ΠΠΠ. ΠΠΌΠΌΡΠ½ΠΎΡΠ΅ΡΠΌΠ΅Π½ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΡΠΎΠ²Π΅Π»ΠΈ Π½Π° Π°Π½Π°Π»ΠΈΠ·Π°ΡΠΎΡΠ΅ Thermo Scientific Multiskan FC. Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ° ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΎΠΏΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΠΈ ΡΠ·ΡΠΊΠ° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ»ΠΈ ΡΡΠ΅Π΄Ρ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½ΡΡ
RStudio (ΠΏΡΠΈ ΠΏΠΎΠΌΠΎΡΠΈ ΡΡΠ½ΠΊΡΠΈΠΉ descrstats, summary, sd, read.table, write. table, aes). ΠΡΠ»ΠΎ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π²ΠΎΠ·ΡΠ°ΡΡΠ° ΠΎΠ½ΡΠΎΠ³Π΅Π½Π΅Π·Π° Π½Π° ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΡΠ΅ΡΡΠΎΡΡΠ΅ΡΠΎΠ½Π° Ρ Π±Π°ΡΠ°Π½ΠΎΠ² ΡΠΎΠΌΠ°Π½ΠΎΠ²ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΡΠΈΡΡΠ½ΠΎΠΊ Ρ Π΄Π²ΡΠΌΡ Π²Π°ΡΠΈΠ°ΡΠΈΠΎΠ½Π½ΡΠΌΠΈ ΠΊΡΠΈΠ²ΡΠΌΠΈ Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΡΠ°Π½ΡΠ³ΡΠ΅ΡΡΠΈΠ΅ΠΉ. Π‘ΡΠ΅Π΄Π½ΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠ΅ΡΡΠΎΡΡΠ΅ΡΠΎΠ½Π° Π±ΡΠ» Π²ΡΡΠ΅ Π² 1,8 ΡΠ°Π·Π° Ρ Π±Π°ΡΠ°Π½ΠΎΠ²-ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ (0,774 ΠΌΠΌΠΎΠ»Ρ/Π»), ΡΠ΅ΠΌ Ρ Π±Π°ΡΠ°Π½ΡΠΈΠΊΠΎΠ². ΠΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΡΠ΅ΡΡΠΎΡΡΠ΅ΡΠΎΠ½Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»Π°ΡΡ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΠ΅Π½ΠΎΡΠΈΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ·ΠΌΠ΅Π½ΡΠΈΠ²ΠΎΡΡΡΡ. ΠΡΡΠ²Π»Π΅Π½Ρ ΡΠ΅ΡΠ΅ΡΠ΅Π½ΡΠ½ΡΠ΅ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π»Ρ ΠΏΠΎ ΡΠ΅ΡΡΠΎΡΡΠ΅ΡΠΎΠ½Ρ Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΠΉ Ρ Π±Π°ΡΠ°Π½ΠΎΠ² ΡΠΎΠΌΠ°Π½ΠΎΠ²ΡΠΊΠΎΠΉ ΠΏΠΎΡΠΎΠ΄Ρ ΠΠ°ΠΏΠ°Π΄Π½ΠΎΠΉ Π‘ΠΈΠ±ΠΈΡΠΈ