283 research outputs found

    Genetic diversity of broad beans (Vicia faba) in the collection of the Vavilov Institute and its use in breeding

    Get PDF
    The paper presents brief information about the history of the collection of broad (horse) beans (Vicia faba L.) at the N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR), its composition, research trends, and significance for domestic breeding. The collection started in 1916 with Vavilov’s collecting activities in the Pamirs. Currently, the collection consists of 1733 accessions from 67 countries, obtained from foreign genebanks through germplasm exchange and seed requests, received from domestic and foreign breeders, and collected in numerous expeditions. Broad beans are used for food (vegetable) and feed; they are adapted to a wide range of latitudes and altitudes. A larger part of the collection is represented by fodder accessions. The main principle whereupon the collection is being augmented is the priorities of domestic breeding. The paper provides information on the botanical, environmental and geographical diversity of VIR’s broad bean collection, its level of studiedness, current research issues, and the use of the collection in the breeding process. The crop’s biological traits, characteristics of vegetable and fodder accessions, current breeding trends and source material for breeding are described. A brief analysis of the current status of broad bean breeding in Russia and VIR’s contribution to this process is presented, including the Institute’s direct involvement in the development of several cultivars of both feed and food uses. Presently, 30 broad bean cultivars are listed in the State Register of Breeding Achievements of the Russian Federation, and 28 of them are the products of domestic breeding

    Новый ΡΡ‚ΠΈΠ»ΡŒ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€ΠΎΠ½Π°ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ

    Get PDF
    The paper analyzes the characteristics of the broadcast of sociocultural experience. It is shown that modern historical stage is associated with the formation of a united democratic style of relationship to the cultural heritage of the past. It is caused by deep-seated patterns of culture itself, increased integration in all spheres of society. In this regard, feature of temporal being culture - the presence of social memory is highlighted. Formation of human values is the result of a kind of cultural history. As a key mechanism of successive development of a culture increasingly recognized the need for careful and responsible attitude to national cultures, to the cultural wealth of mankind.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΡƒΡŽΡ‚ΡΡ особСнности трансляции ΡΠΎΡ†ΠΈΠΎΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π½ΠΎΠ³ΠΎ ΠΎΠΏΡ‹Ρ‚Π°. Показано, Ρ‡Ρ‚ΠΎ соврСмСнный историчСский этап связан с Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΅Π΄ΠΈΠ½ΠΎΠ³ΠΎ дСмократичСского стиля ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ ΠΊ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π½ΠΎΠΌΡƒ наслСдию ΠΏΡ€ΠΎΡˆΠ»ΠΎΠ³ΠΎ. Он обусловлСн Π³Π»ΡƒΠ±ΠΈΠ½Π½Ρ‹ΠΌΠΈ закономСрностями развития самой ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹, усилСниСм ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ Π²ΠΎ всСх сфСрах ΠΆΠΈΠ·Π½ΠΈ общСства. Π’ этом ΠΏΠ»Π°Π½Π΅ высвСчиваСтся ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΡŒ Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ бытия ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹ - Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ памяти. Π€ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ общСчСловСчСских цСнностСй - это своСобразный ΠΈΡ‚ΠΎΠ³ истории ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹. Π’ качСствС ΠΊΠ»ΡŽΡ‡Π΅Π²ΠΎΠ³ΠΎ ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠ° прССмствСнного развития ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹ всС Π±ΠΎΠ»Π΅Π΅ осознаСтся Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Π±Π΅Ρ€Π΅ΠΆΠ½ΠΎΠ³ΠΎ, отвСтствСнного ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ ΠΊ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π°ΠΌ, ΠΊ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π½Ρ‹ΠΌ богатствам чСловСчСства

    О комбинациях Π³Π°Ρ€ΠΌΠΎΠ½ΠΈΠΊ ΠΈ ΠΏΠΎΠ»ΠΈΠ½ΠΎΠΌΠΎΠ² Π² экономСтричСском ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ курсовых ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ RUB/AZN

    Get PDF
    Conducting a combinational polynomial and spectral analysis of time series formed on the basis of daily observations of changes in the RUB/AZN exchange rate with pronounced fluctuations for the period 11.05.2017- 02.11.2018 based on computer econometric modeling.The purpose of the research. The possibility of describing the global rate dynamics by approximation with a combination of a nonlinear polynomial trend and harmonic oscillations of various frequencies relative to this curve; the ability to calculate amplitudes and phases, which can be used to estimate the power spectrum of the Fourier approximation; the ability to develop a high-precision algorithm for predicting exchange rate changes in RUB/AZN.Materials and methodology. The official statistics of the State Statistics Committee of Azerbaijan were used; classical methods of mathematical analysis and economic analysis; methods of econometrics, harmonic (Fourier) analysis, statistical spectral analysis, β€œFourier analysis” of the MS Excel add-in, tools of the Eviews 8 application package with the standard deviation and average approximation error being taken into account, the necessary statistical procedures required for identifying and estimating the parameters of the model and checking its adequacy and accuracy.Results. By breaking up the empirical analysis of given time series into time-scale polynomial and time-frequency components. Combinations of the optimal degree of variants of polynomials up to the 11th degree and the number of harmonics of sines and cosines of all possible discrete frequencies were revealed.Conclusion. This result allows us to reconsider the asymmetric impact of RUB/AZN exchange rate pressure on the foreign trade balance between Russia and Azerbaijan. An increase/decrease in exchange rate pressure affects the likelihood of a ruble-manat crisis, while this phenomenon may negatively/positively affect the foreign trade balance and may make it difficult/easier to import resources, goods and services between countries. This, in turn, adds significance to the task of further detailed structuring and analysis of exchange rate changes in RUB/AZN in the face of increased sanction pressures against Russia, thereby actualizing the development of the retrospective part of the study.ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ полиномиального ΠΈ ΡΠΏΠ΅ΠΊΡ‚Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… рядов, сформированных Π½Π° основС Π΅ΠΆΠ΅Π΄Π½Π΅Π²Π½Ρ‹Ρ… наблюдСний Π·Π° измСнСниями курса RUB/AZN с Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½Ρ‹ΠΌΠΈ колСбаниями Π·Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ 11.05.2017-02.11.2018 Π½Π° основС ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½ΠΎΠ³ΠΎ экономСтричСского модСлирования.ЦСль исслСдования. Π’ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ описания глобальной Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ курса аппроксимациСй с сочСтаниСм Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ полиномиального Ρ‚Ρ€Π΅Π½Π΄Π° ΠΈ гармоничСских ΠΊΠΎΠ»Π΅Π±Π°Π½ΠΈΠΉ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… частот ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ этой ΠΊΡ€ΠΈΠ²ΠΎΠΉ; Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ вычислСния Π°ΠΌΠΏΠ»ΠΈΡ‚ΡƒΠ΄ ΠΈ Ρ„Π°Π·, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΠΎΠΆΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ для ΠΎΡ†Π΅Π½ΠΎΠΊ спСктра мощности аппроксимации Π€ΡƒΡ€ΡŒΠ΅; Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ Π²Ρ‹Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ высокоточного Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° для прогнозирования курсовых ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ RUB/AZN.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ мСтодология. Π˜ΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ статистичСскиС Π΄Π°Π½Π½Ρ‹Π΅ госкомстата АзСрбайдТана; классичСскиС ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ матСматичСского Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ экономичСского Π°Π½Π°Π»ΠΈΠ·Π°; ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½Ρ‹ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ экономСтрики, гармоничСского (Π€ΡƒΡ€ΡŒΠ΅) Π°Π½Π°Π»ΠΈΠ·Π°, статистичСского ΡΠΏΠ΅ΠΊΡ‚Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°, «Анализ Π€ΡƒΡ€ΡŒΠ΅Β» надстройки MS Excel, инструмСнты ΠΏΠ°ΠΊΠ΅Ρ‚Π° ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½Ρ‹Ρ… ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ Eviews 8 с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ срСднСквадратичного отклонСния ΠΈ срСднСй ошибки аппроксимации, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹Π΅ статистичСскиС ΠΏΡ€ΠΎΡ†Π΅Π΄ΡƒΡ€Ρ‹, Ρ‚Ρ€Π΅Π±ΡƒΠ΅ΠΌΡ‹Π΅ для ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΈ ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈ ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΠΈ Π΅Π΅ адСкватности ΠΈ точности.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Разбивая эмпиричСский Π°Π½Π°Π»ΠΈΠ· Π·Π°Π΄Π°Π½Π½Ρ‹Ρ… Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… рядов Π½Π° ΠΏΠΎΠ»ΠΈΠ½ΠΎΠΌΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ ΠΏΠΎ Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ шкалС ΠΈ частотно-Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Π΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Ρ‹. ВыявлСны ΠΊΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΠΈ ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ стСпСни Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ΠΎΠ² ΠΏΠΎΠ»ΠΈΠ½ΠΎΠΌΠΎΠ² Π΄ΠΎ 11-ΠΎΠΉ стСпСни ΠΈ число Π³Π°Ρ€ΠΌΠΎΠ½ΠΈΠΊ синусов ΠΈ косинусов всСх Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Ρ… дискрСтных частот.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π­Ρ‚ΠΎΡ‚ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ позволяСт ΠΏΠ΅Ρ€Π΅ΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ асиммСтричСскоС воздСйствиС давлСния курса RUB/AZN Π½Π° Π²Π½Π΅ΡˆΠ½Π΅Ρ‚ΠΎΡ€Π³ΠΎΠ²Ρ‹ΠΉ баланс ΠΌΠ΅ΠΆΠ΄Ρƒ РоссиСй ΠΈ АзСрбайдТаном. Π£Π²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅/ΡƒΠΌΠ΅Π½ΡŒΡˆΠ΅Π½ΠΈΠ΅ давлСния курса влияСт Π½Π° Π²Π΅Ρ€ΠΎΡΡ‚Π½ΠΎΡΡ‚ΡŒ кризиса рубля-ΠΌΠ°Π½Π°Ρ‚Π°, Π² Ρ‚ΠΎ врСмя ΠΊΠ°ΠΊ это явлСниС ΠΌΠΎΠΆΠ΅Ρ‚ ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ/ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΏΠΎΠ²Π»ΠΈΡΡ‚ΡŒ Π½Π° Π²Π½Π΅ΡˆΠ½Π΅Ρ‚ΠΎΡ€Π³ΠΎΠ²Ρ‹ΠΉ баланс ΠΈ ΠΌΠΎΠΆΠ΅Ρ‚ Π·Π°Ρ‚Ρ€ΡƒΠ΄Π½ΠΈΡ‚ΡŒ/ΠΎΠ±Π»Π΅Π³Ρ‡ΠΈΡ‚ΡŒ ΠΈΠΌΠΏΠΎΡ€Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ рСсурсов, Ρ‚ΠΎΠ²Π°Ρ€ΠΎΠ² ΠΈ услуг ΠΌΠ΅ΠΆΠ΄Ρƒ странами. Π­Ρ‚ΠΎ Π² свою ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ Π΄Π΅Π»Π°Π΅Ρ‚ ΠΎΡΠ½ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Π·Π°Π΄Π°Ρ‡Ρƒ дальнСйшСго Π΄Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ структурирования ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° курсовых ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ RUB/AZN Π² условиях усилСнных санкционных Π΄Π°Π²Π»Π΅Π½ΠΈΠΉ ΠΏΡ€ΠΎΡ‚ΠΈΠ² России, Ρ‚Π΅ΠΌ самым актуализируя Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ рСтроспСктивной части исслСдования

    Combined Risk Factors and Digestive Disorders in Mid-Lactation Holstein Cows: A Case Study

    Get PDF
    Digestive disorders can be a significant cause of disease on dairies and are frustrating because of their unpredictability. Diets that may support excellent health in most cases may nonetheless result in significant gastrointestinal disease, even leading to deadly conditions such as hemorrhagic bowel syndrome. To our knowledge, there is limited research on these conditions, as many risk factors fail to reproduce disease when experimentally administered to cows, leading many to conclude that these disorders are generally multifactorial in nature and difficult to replicate. In this case study, we document the outbreak and resolution of digestive disorders among 15 control cows enrolled in a larger production study. Over 14 weeks, cows were individually fed, with milk yield and composition, blood variables, and health observations recorded. The diet included drought-stressed corn silage that introduced difficulties including low energy density, high dry matter content (making it unstable at feedout), and mycotoxin contamination. By weeks 4–5 on the study, sporadic diarrhea began to appear and milk fat content had dropped from 3.7% to 3.4%, on average. Coincident with the onset of environmental heat stress, three cows developed severe digestive disorders, resulting in a displaced abomasum in one cow. At that point, the diet was changed to replace some corn silage with wheat straw, a direct-fed microbial was added to the diet, and organic acid treatment of the silage face was initiated. Within a month after these changes were implemented, essentially all signs of digestive problems resolved, including milk fat content, fecal consistency, and blood plasma concentrations of haptoglobin and D-lactate. This case study points to multiple factors that likely combined to lead to microbial and gastrointestinal disruptions resulting in clinical disease in a subset of cows

    Status of antioxidant and oxidant systems in rheumatic fever and hereditary collagen dysplasias

    Get PDF
    Recently, the interest in research on the role of free radical-induced lipid peroxidation reactions in pathogenesis of rheumatic fever and hereditary collagen dysplasias has considerably grown. The study tested blood plasma of 60 children: 18 carriers of hereditary collagen dysplasias and 42 children with rheumatic fever. Twenty healthy individuals have constituted control group. All patients have undergone complex clinical and laboratory examinations to evaluate process activity and disease stage, their familial and genealogical histories have been taken. Presence of rheumatoid factor was determined by latex agglutination test. Other rheumatic fever markers were tested by common methods. Status of the lipid peroxidation process was assessed by malondialdehyde content, using reaction with thiobarbituric acid and subsequent spectrophotometric measurement. Catalase activity was measured spectrophotometrically. To diagnosticate hereditary collagen dysplasias, hydroxyproline levels in blood and urine were assayed. Content of glycosaminoglycans was determined by electrophoresis, and levels of amino acids were measured chromatographically. In the majority of patients, the tests detected an increased daily urinary excretion of hydroxyproline and glycosaminoglycans what reflects the process of collagen metabolism disorders. The authors detected elevated levels of malondialdehyde, increased activity of superoxide dismutase and decreased activity of glutathione peroxidase and catalase. These three markers are sufficiently sensitive to assess affection of immunocompetent cells in rheumatic fever and hereditary collagen dysplasias

    Complex-Radical Terpolymerization of Maleic Anhydride (Styrene), Allyl Propionate and Methyl Methacrylate

    Get PDF
    The radical terpolymerization reactions of the acceptor-donor-acceptor and donor-acceptor-donor systems, maleic anhydride (MA)-allyl propionate (AP)-methyl methacrylate (MMA) and styrene (St)-MMA-AP, had been studied. The terpolymerizations were carried out in methyl ethyl ketone at 60-75 Β°C in the presence of 2,2’-azoisobutyronitrile (ABIN) used as the initiator. Some kinetic parameters and copolymerization constants - for both, system were determined by dilatometric and Kelen-Tudos or Seiner-Lift methods. The obtained results are discussed in terms of the free monomer and complex chain growth models. It is shown that terpolymerization was carried out at a stage close to binary copolymerization of MA...AP complex with free MMA and St...MMA complex with AP in the both studied system, respectively. These systems are also used as model for interpretation of cyclocopolymerization mechanism in allyl methactylate-MA (or St) system. DTA and TGA analyses indicated the relatively high thermal stability of St-MMA-AP terpolymer. It is shown that this terpolymer decomposes through a one-step reaction at 310 Β°C, however MA-AP-MMA terpolymer decomposes through a multi-step reactions at 150, 260 and 310 Β°C

    Physical properties of thermoelectric zinc antimonide using first-principles calculations

    Full text link
    We report first principles calculations of the structural, electronic, elastic and vibrational properties of the semiconducting orthorhombic ZnSb compound. We study also the intrinsic point defects in order to eventually improve the thermoelectric properties of this already very promising thermoelectric material. Concerning the electronic properties, in addition to the band structure, we show that the Zn (Sb) crystallographically equivalent atoms are not exactly equivalent from the electronic point of view. Lattice dynamics, elastic and thermodynamic properties are found to be in good agreement with experiments and they confirm the non equivalency of the zinc and antimony atoms from the vibrational point of view. The calculated elastic properties show a relatively weak anisotropy and the hardest direction is the y direction. We observe the presence of low energy modes involving both Zn and Sb atoms at about 5-6 meV, similarly to what has been found in Zn4Sb3 and we suggest that the interactions of these modes with acoustic phonons could explain the relatively low thermal conductivity of ZnSb. Zinc vacancies are the most stable defects and this explains the intrinsic p-type conductivity of ZnSb.Comment: 33 pages, 8 figure

    Effects of postpartum treatment with non-steroidal anti-inflammatory drugs on milk production and culling risk in dairy cattle

    Get PDF
    Dairy Research, 2014 is known as Dairy Day, 2014Inflammation during early lactation is common in dairy cattle, and a high degree of inflammation during this time has recently been associated with both lower productivity and greater risk of disease during that lactation. Early lactation treatments with two non-steroidal anti-inflammatory drugs were compared with a placebo treatment to evaluate effects on whole-lactation productivity and retention in the herd. Both meloxicam and sodium salicylate increased whole-lactation milk and milk protein yields by 6 to 9%, despite being administered for only 1 or 3 days in early lactation, respectively. In addition, meloxicam treatment tended to decrease the risk of cows leaving the herd during the lactation. These results indicate that postpartum inflammatory signals have long-lasting effects on lactation in dairy cattle

    Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ ΠΊΡ–Π»ΡŒΠΊΡ–ΡΠ½ΠΎΠ³ΠΎ визначСння Ρ„ΡƒΠ·ΠΈΠ΄Ρ–Ρ”Π²ΠΎΡ— кислоти Ρ‚Π° ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Ρƒ Π² складі Π΄Π΅Ρ€ΠΌΠ°Ρ‚ΠΎΠ»ΠΎΠ³Ρ–Ρ‡Π½ΠΎΠ³ΠΎ гСлю Β«Π€ΡƒΠ·ΠΈΠΏΠ°ΠΌ-Π΄Π΅Ρ€ΠΌΠ°Β»

    Get PDF
    Aim. To develop and validate the methods for the quantitative determination of fusidic acid and panthenol in β€œFuzipam-derma” gel.Materials and methods. The determination was performed by high performance liquid chromatography (HPLC) according to the requirements of the State Pharmacopoeia of Ukraine (SPhU) 1.0 on a Prostar-210 liquid chromatograph, (Varian Chromatography System, USA).Results and discussion. The methods for the quantitative determination of fusidic acid and panthenol in β€œFuzipam-derma” gel have been developed. The appropriate chromatographic conditions have been chosen, due to them the peaks of fusidic acid and panthenol are completely separated from other gel components. The validation of the methods for the quantitative determination of fusidic acid and panthenol has been performed. The data obtained have shown that the methods are stable and reproducible in different days.Conclusions. The methods for the quantitative determination of fusidic acid and panthenol in the composition of the new dermatological gel β€œFuzipam-derma” for the treatment of grade Π†-Π†Π† acne has been developed using the HPLC method.ЦСль. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Ρ‚ΡŒ ΠΈ провСсти Π²Π°Π»ΠΈΠ΄Π°Ρ†ΠΈΡŽ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ количСствСнного опрСдСлСния Ρ„ΡƒΠ·ΠΈΠ΄ΠΈΠ΅Π²ΠΎΠΉ кислоты ΠΈ ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Π° Π² Π³Π΅Π»Π΅ Β«Π€ΡƒΠ·ΠΈΠΏΠ°ΠΌ-Π΄Π΅Ρ€ΠΌΠ°Β».ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠžΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ высокоэффСктивной Тидкостной Ρ…Ρ€ΠΎΠΌΠ°Ρ‚ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ Π² соотвСтствии с трСбованиями Π”Π€Π£ 1.0 Π½Π° Тидкостном Ρ…Ρ€ΠΎΠΌΠ°Ρ‚ΠΎΠ³Ρ€Π°Ρ„Π΅ Β«Prostar-210Β» Ρ„ΠΈΡ€ΠΌΡ‹ Β«Varian Chromatography SystemΒ», БША.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈ ΠΈΡ… обсуТдСниС. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Ρ‹ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ количСствСнного опрСдСлСния Ρ„ΡƒΠ·ΠΈΠ΄ΠΈΠ΅Π²ΠΎΠΉ кислоты ΠΈ ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Π° Π² Π³Π΅Π»Π΅ Β«Π€ΡƒΠ·ΠΈΠΏΠ°ΠΌ-Π΄Π΅Ρ€ΠΌΠ°Β». Π‘Ρ‹Π»ΠΈ ΠΏΠΎΠ΄ΠΎΠ±Ρ€Π°Π½Ρ‹ ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠ΅ условия хроматографирования, Π·Π° счСт ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΏΠΈΠΊΠΈ Ρ„ΡƒΠ·ΠΈΠ΄ΠΈΠ΅Π²ΠΎΠΉ кислоты ΠΈ ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Π° ΠΏΠΎΠ»Π½ΠΎΡΡ‚ΡŒΡŽ ΠΎΡ‚Π΄Π΅Π»ΡΠ»ΠΈΡΡŒ ΠΎΡ‚ Π΄Ρ€ΡƒΠ³ΠΈΡ… ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ² гСля. Π‘Ρ‹Π»Π° ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° валидация ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ количСствСнного опрСдСлСния Ρ„ΡƒΠ·ΠΈΠ΄ΠΈΠ΅Π²ΠΎΠΉ кислоты ΠΈ ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Π°. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Π΄Π°Π½Π½Ρ‹Π΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ ΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½Ρ‹ΠΌΠΈ ΠΈ воспроизводятся Π² Ρ€Π°Π·Π½Ρ‹Π΅ Π΄Π½ΠΈ.Π’Ρ‹Π²ΠΎΠ΄Ρ‹. Π‘ ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΌΠ΅Ρ‚ΠΎΠ΄Π° Π’Π­Π–Π₯ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Ρ‹ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ количСствСнного опрСдСлСния Ρ„ΡƒΠ·ΠΈΠ΄ΠΈΠ΅Π²ΠΎΠΉ кислоты ΠΈ ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Π° Π² составС Π½ΠΎΠ²ΠΎΠ³ΠΎ дСрматологичСского гСля Β«Π€ΡƒΠ·ΠΈΠΏΠ°ΠΌ-Π΄Π΅Ρ€ΠΌΠ°Β» для лСчСния I-II стСпСни ΡƒΠ³Ρ€Π΅Π²ΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΠΈ.ΠœΠ΅Ρ‚Π°. Π ΠΎΠ·Ρ€ΠΎΠ±ΠΈΡ‚ΠΈ Ρ‚Π° провСсти Π²Π°Π»Ρ–Π΄Π°Ρ†Ρ–ΡŽ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ ΠΊΡ–Π»ΡŒΠΊΡ–ΡΠ½ΠΎΠ³ΠΎ визначСння Ρ„ΡƒΠ·ΠΈΠ΄Ρ–Ρ”Π²ΠΎΡ— кислоти Ρ‚Π° ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Ρƒ Ρƒ Π³Π΅Π»Ρ– Β«Π€ΡƒΠ·ΠΈΠΏΠ°ΠΌ-Π΄Π΅Ρ€ΠΌΠ°Β».ΠœΠ°Ρ‚Π΅Ρ€Ρ–Π°Π»ΠΈ Ρ‚Π° ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ. ВизначСння ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ високоСфСктивної Ρ€Ρ–Π΄ΠΈΠ½Π½ΠΎΡ— Ρ…Ρ€ΠΎΠΌΠ°Ρ‚ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ—Β  Π·Π³Ρ–Π΄Π½ΠΎ Π· Π²ΠΈΠΌΠΎΠ³Π°ΠΌΠΈ Π”Π€Π£ 1.0 Π½Π° Ρ€Ρ–Π΄ΠΈΠ½Π½ΠΎΠΌΡƒ Ρ…Ρ€ΠΎΠΌΠ°Ρ‚ΠΎΠ³Ρ€Π°Ρ„Ρ– Β«Prostar-210Β» Ρ„Ρ–Ρ€ΠΌΠΈ Β«Varian Chromatography SystemΒ», БША.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ Ρ‚Π° Ρ—Ρ… обговорСння. Π ΠΎΠ·Ρ€ΠΎΠ±Π»Π΅Π½Ρ– ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ ΠΊΡ–Π»ΡŒΠΊΡ–ΡΠ½ΠΎΠ³ΠΎ визначСння Ρ„ΡƒΠ·ΠΈΠ΄Ρ–Ρ”Π²ΠΎΡ— кислоти Ρ‚Π° ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Ρƒ Ρƒ Π³Π΅Π»Ρ– Β«Π€ΡƒΠ·ΠΈΠΏΠ°ΠΌ-Π΄Π΅Ρ€ΠΌΠ°Β». Π‘ΡƒΠ»ΠΈ ΠΏΡ–Π΄Ρ–Π±Ρ€Π°Π½Ρ– Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π½Ρ– ΡƒΠΌΠΎΠ²ΠΈ хроматографування, Π·Π° Ρ€Π°Ρ…ΡƒΠ½ΠΎΠΊ яких ΠΏiΠΊΠΈ Ρ„ΡƒΠ·ΠΈΠ΄Ρ–Ρ”Π²ΠΎΡ— кислоти Ρ‚Π° ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Ρƒ ΠΏΠΎΠ²Π½iΡΡ‚ΡŽ Π²iΠ΄ΠΎΠΊΡ€Π΅ΠΌΠ»ΡŽΡŽΡ‚ΡŒΡΡ Π²iΠ΄ iΠ½ΡˆΠΈΡ… ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚iΠ² гСлю. Π‘ΡƒΠ»Π° ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° Π²Π°Π»iΠ΄Π°Ρ†iя ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊ ΠΊiлькiсного визначСння Ρ„ΡƒΠ·ΠΈΠ΄Ρ–Ρ”Π²ΠΎΡ— кислоти Ρ‚Π° ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Ρƒ. ΠžΡ‚Ρ€ΠΈΠΌΠ°Π½i Π΄Π°Π½i ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‰ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ Ρ” стабiльними Ρ‚Π° Π²iΠ΄Ρ‚Π²ΠΎΡ€ΡŽΡŽΡ‚ΡŒΡΡ Ρƒ Ρ€iΠ·Π½i Π΄Π½i.Висновки. Π—Π° допомогою ΠΌΠ΅Ρ‚ΠΎΠ΄Ρƒ Π’Π•Π Π₯ Ρ€ΠΎΠ·Ρ€ΠΎΠ±Π»Π΅Π½Ρ– ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ ΠΊΡ–Π»ΡŒΠΊΡ–ΡΠ½ΠΎΠ³ΠΎ визначСння Ρ„ΡƒΠ·ΠΈΠ΄Ρ–Ρ”Π²ΠΎΡ— кислоти Ρ‚Π° ΠΏΠ°Π½Ρ‚Π΅Π½ΠΎΠ»Ρƒ Π² складі Π½ΠΎΠ²ΠΎΠ³ΠΎ Π΄Π΅Ρ€ΠΌΠ°Ρ‚ΠΎΠ»ΠΎΠ³Ρ–Ρ‡Π½ΠΎΠ³ΠΎ гСлю Β«Π€ΡƒΠ·ΠΈΠΏΠ°ΠΌ-Π΄Π΅Ρ€ΠΌΠ°Β» для лікування Π†-Π†Π† ступСня Π²ΡƒΠ³Ρ€ΠΎΠ²ΠΎΡ— Ρ…Π²ΠΎΡ€ΠΎΠ±ΠΈ
    • …
    corecore