30 research outputs found

    ΠœΠ°ΡΡ‚Π½ΠΎΠΊΠΈΡΠ΅Π»ΠΈΠ½Π΅Π½ ΡΡŠΡΡ‚Π°Π² Π½Π° биволско мляко ΠΏΡ€ΠΈ ΠΈΠ½Ρ‚Π΅Π½Π·ΠΈΠ²Π½ΠΎ ΠΈ пасищно ΠΎΡ‚Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅

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    With the aim to assess the fatty-acid profile of buffalo milk from intensive and pasture farming system, the study included two farms. Farm 1 assigned 9 non-grazing buffaloes raised on green fodder or maize silage, and Farm 2 – 8 buffaloes on pasture until November and hay in winter. Individual samples of milk, taken in 7 monthly test days from August to February, were subjected to the Roese-Gottlieb lipid analysis. Analyses of variance were carried out per each fatty acid (FA), including the effects of farming, test day, milk yield and fat content. Farming system was established to be significant source of variation of all individual monounsaturated and polyunsaturated FAs (PUFA) and total PUFA. All PUFAs, except C20:3n3 and C20:2n6, showed better values in the milk from the buffaloes on pasture – more than 2-fold difference in total conjugated linoleic acids (0.913%) and rumenic acid (0.829%) in particular, in alpha-linolenic (0.145%) and gamma-linolenic (0.502%) acid, and in omega-3 FAs (n3), rendering n6/n3 ratio definitely lower (1.99). This applies also to greater extent to trans-C18:1 (4.027%) and vaccenic acid (2.323%) in particular, and to lesser to atherogenicity (2.44) and thrombogenicity (3.21) index. While C18:4n3 was found to increase, vaccenic and gammalinolenic acid decline throughout grazing season, as well as conjugated linoleic acids with the exception of a peak in December. C20:5n3, C22:5n3 and C20:3n6 are characterized by such even more pronounced peak.Π‘ Ρ†Π΅Π» ΠΎΡ†Π΅Π½ΠΊΠ° Π½Π° мастнокисСлия ΡΡŠΡΡ‚Π°Π² Π½Π° биволското мляко ΠΎΡ‚ ΠΈΠ½Ρ‚Π΅Π½Π·ΠΈΠ²Π½Π° ΠΈ пасищна систСма Π·Π° ΠΎΡ‚Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅, Π² ΠΏΡ€ΠΎΡƒΡ‡Π²Π°Π½Π΅Ρ‚ΠΎ бяха Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈ Π΄Π²Π΅ Ρ„Π΅Ρ€ΠΌΠΈ. ΠžΡ‚ Ρ„Π΅Ρ€ΠΌΠ° 1 бяха Π²Π·Π΅Ρ‚ΠΈ 9 Π±ΠΈΠ²ΠΎΠ»ΠΈΡ†ΠΈ Π±Π΅Π· паша, Ρ…Ρ€Π°Π½Π΅Π½ΠΈ със Π·Π΅Π»Π΅Π½Π° маса ΠΈΠ»ΠΈ Ρ†Π°Ρ€Π΅Π²ΠΈΡ‡Π΅Π½ силаТ, Π° ΠΎΡ‚ Ρ„Π΅Ρ€ΠΌΠ° 2 – 8 Π±ΠΈΠ²ΠΎΠ»ΠΈΡ†ΠΈ Π½Π° пасищно ΠΎΡ‚Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅ Π΄ΠΎ Π½ΠΎΠ΅ΠΌΠ²Ρ€ΠΈ ΠΈ Π½Π° сСно ΠΏΡ€Π΅Π· Π·ΠΈΠΌΠ°Ρ‚Π°. Π˜Π½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»Π½ΠΈΡ‚Π΅ ΠΏΡ€ΠΎΠ±ΠΈ мляко, Π²Π·Π΅Ρ‚ΠΈ Π² 7 мСсСчни тСстови Π΄Π½ΠΈ ΠΎΡ‚ август Π΄ΠΎ Ρ„Π΅Π²Ρ€ΡƒΠ°Ρ€ΠΈ, бяха ΠΏΠΎΠ΄Π»ΠΎΠΆΠ΅Π½ΠΈ Π½Π° Π»ΠΈΠΏΠΈΠ΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π° Π½Π° Roese-Gottlieb. Бяха ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈ Π°Π½Π°Π»ΠΈΠ·ΠΈ Π½Π° варианса Π·Π° всяка мастна кисСлина (МК), Π²ΠΊΠ»ΡŽΡ‡Π²Π°ΠΉΠΊΠΈ Π΅Ρ„Π΅ΠΊΡ‚ΠΈΡ‚Π΅ Π½Π° ситСмата Π½Π° ΠΎΡ‚Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅, тСстовия Π΄Π΅Π½, млСчността ΠΈ маслСността. Π‘Π΅ΡˆΠ΅ установСно, Ρ‡Π΅ систСмата Π½Π° ΠΎΡ‚Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅ Π΅ достовСрСн ΠΈΠ·Ρ‚ΠΎΡ‡Π½ΠΈΠΊ Π½Π° Π²Π°Ρ€ΠΈΡ€Π°Π½Π΅ Π½Π° всички ΠΎΡ‚Π΄Π΅Π»Π½ΠΈ мононСнаситСни ΠΈ полинСнаситСни (ПНМК) МК, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ βˆ‘ΠŸΠΠœΠš. Всички ПНМК, с ΠΈΠ·ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅ Π½Π° C20:3n3 ΠΈ C20:2n6, ΠΏΠΎΠΊΠ°Π·Π²Π°Ρ‚ ΠΏΠΎ-Π΄ΠΎΠ±Ρ€ΠΈ стойности Π² млякото ΠΎΡ‚ Π±ΠΈΠ²ΠΎΠ»ΠΈΡ†ΠΈΡ‚Π΅ Π½Π° паша – ΠΏΠΎΠ²Π΅Ρ‡Π΅ ΠΎΡ‚ Π΄Π²ΡƒΠΊΡ€Π°Ρ‚Π½Π° Ρ€Π°Π·Π»ΠΈΠΊΠ° Π² сумата ΠΎΡ‚ ΠΊΠΎΠ½ΡŽΠ³ΠΈΡ€Π°Π½ΠΈΡ‚Π΅ Π»ΠΈΠ½ΠΎΠ»ΠΎΠ²ΠΈ кисСлини (0,913%) ΠΈ Π² частност Π² C18:2c9t11 (0,829%), Π² Π°Π»Ρ„Π°-Π»ΠΈΠ½ΠΎΠ»Π΅Π½ΠΎΠ²Π° (0,145%) ΠΈ Π³Π°ΠΌΠ°-Π»ΠΈΠ½ΠΎΠ»Π΅Π½ΠΎΠ²Π° (0,502%) кисСлина, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ Π² ΠΎΠΌΠ΅Π³Π°-3 (n3), ΠΏΡ€Π°Π²Π΅ΠΉΠΊΠΈ ΡΡŠΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅Ρ‚ΠΎ n6/n3 ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΎ ΠΏΠΎ-ниско (1,99). Π’ΠΎΠ²Π° сС отнася Π΄ΠΎ голяма стСпСн Π΄ΠΎ транс-Π‘18:1 (4,027%), Π² частност C18:1t11 (2,323%), ΠΈ Π² ΠΏΠΎ-ΠΌΠ°Π»ΠΊΠ° Π΄ΠΎ индСкса Π½Π° атСрогСнност (2,44) ΠΈ тромбогСнност (3,21). Π”ΠΎΠΊΠ°Ρ‚ΠΎ C18:4n3 сС повишава, C18:1t11 ΠΈ Π³Π°ΠΌΠ°-Π»ΠΈΠ½ΠΎΠ»Π΅Π½ΠΎΠ²Π°Ρ‚Π° кисСлина намаляват с Π½Π°ΠΏΡ€Π΅Π΄Π²Π°Π½Π΅ Π½Π° пасищния сСзон, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ ΠΊΠΎΠ½ΡŽΠ³ΠΈΡ€Π°Π½ΠΈΡ‚Π΅ Π»ΠΈΠ½ΠΎΠ»ΠΎΠ²ΠΈ кисСлини с ΠΈΠ·ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅ Π½Π° ΠΏΠΈΠΊΠ° ΠΏΡ€Π΅Π· Π΄Π΅ΠΊΠ΅ΠΌΠ²Ρ€ΠΈ. C20:5n3, C22:5n3 ΠΈ C20:3n6 сС Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΠΈΡ€Π°Ρ‚ с ΠΏΠΎΠ΄ΠΎΠ±Π΅Π½, ΠΎΡ‰Π΅ ΠΏΠΎ-силно ΠΈΠ·Ρ€Π°Π·Π΅Π½ ΠΏΠΈΠΊ

    ΠŸΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈ Π½Π° Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΎΠ½Π½Π°Ρ‚Π° ΠΊΡ€ΠΈΠ²Π° Π² зависимост ΠΎΡ‚ ΠΏΡ€ΠΎΠ΄ΡŠΠ»ΠΆΠΈΡ‚Π΅Π»Π½ΠΎΡΡ‚Ρ‚Π° Π½Π° лактация ΠΏΡ€ΠΈ Π±ΠΈΠ²ΠΎΠ»ΠΈΡ†ΠΈ ΠΎΡ‚ Π΄Π²Π΅ Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΈ систСми Π½Π° ΠΎΡ‚Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅

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    Buffaloes from intensive (farm 1 - Fm1; 438 normal, 115 short lactations) and pasture (farm 2 - Fm2; 330 + 58 lactations) system were assigned to study lactation curve via ANOVA (LSMLMW and MIXMDL) per each 10-day period (β€œtenday”), as well as overall (PI1) and post-peak (PIP) persistency. Greatest is the effect of parity and season, also of year on 2nd-12th tenday. Persistency is affected by parity, year and season of calving, and especially by peak month and DIM (P≀0.001). The curves showed peak averagely at 2nd tenday in both herds. Compared to the buffaloes on pasture, Fm1 has significantly lower milk in initial two and in 15th to 21st tendays, defining slower decline to mid-lactation and faster after that. These differences in the curves predetermine a non-significant difference in PI1 between Fm1 and Fm2 (0.932 and 0.940) and a significant but still small superiority in PIP of Fm2 (0.893) over Fm1 (0.880). The lactations below 210 days are 17.8%, persistency being 0.859 to 0.742, and peak by 17 to 32% worse than normal lactation. Long and very long lactations’ persistency is 0.923 and 0.950. Only very long lactations have Π° typical curve – 4th tenday peak, by 10% lower than normal lactation.Бяха Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈ Π±ΠΈΠ²ΠΎΠ»ΠΈΡ†ΠΈ ΠΎΡ‚ ΠΈΠ½Ρ‚Π΅Π½Π·ΠΈΠ²Π½Π° (Fm1 – 438 Π½ΠΎΡ€ΠΌΠ°Π»Π½ΠΈ ΠΈ 115 къси Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈ) ΠΈ пасищна (Fm2 - 330 + 58 Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈ) тСхнология Π½Π° ΠΎΡ‚Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅, Π·Π° ΠΏΡ€ΠΎΡƒΡ‡Π²Π°Π½Π΅ Π½Π° Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΎΠ½Π½Π°Ρ‚Π° ΠΊΡ€ΠΈΠ²Π° Ρ‡Ρ€Π΅Π· ANOVA (LSMLMW ΠΈ MIXMDL) Π·Π° всяка 10-Π΄Π½Π΅Π²ΠΊΠ°, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ Π½Π° ΠΎΠ±Ρ‰ΠΎΡ‚ΠΎ (PI1) ΠΈ слСд-ΠΏΠΈΠΊΠΎΠ²ΠΎ (PIP) постоянство. Най-Π·Π½Π°Ρ‡ΠΈΠΌ Π΅ Π΅Ρ„Π΅ΠΊΡ‚ΡŠΡ‚ Π½Π° ΠΏΠΎΡ€Π΅Π΄Π½Π°Ρ‚Π° лактация ΠΈ сСзона,, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ Π½Π° Π³ΠΎΠ΄ΠΈΠ½Π°Ρ‚Π° Π·Π° 2-ра–12-Ρ‚Π° дСсСтднСвка. ΠŸΠΎΡΡ‚ΠΎΡΠ½ΡΡ‚Π²ΠΎΡ‚ΠΎ сС влияС ΠΎΡ‚ ΠΏΠΎΡ€Π΅Π΄Π½Π°Ρ‚Π° лактация, Π³ΠΎΠ΄ΠΈΠ½Π°Ρ‚Π°, сСзона, ΠΈ особСно ΠΎΡ‚ пиковия мСсСц ΠΈ Π΄ΠΎΠΉΠ½ΠΈΡ‚Π΅ Π΄Π½ΠΈ (P≀0.001). ΠŸΠΈΠΊΡŠΡ‚ Π΅ срСдно ΠΏΡ€Π΅Π· 2-Ρ€Π° дСсСтднСвка Π² Π΄Π²Π΅Ρ‚Π΅ стада. Π’ сравнСниС с Π±ΠΈΠ²ΠΎΠ»ΠΈΡ†ΠΈΡ‚Π΅ Π½Π° паша, Fm1 ΠΈΠΌΠ° достовСрно ΠΏΠΎ-ниска млСчност Π² ΠΏΡŠΡ€Π²ΠΈΡ‚Π΅ Π΄Π²Π΅ ΠΈ Π² 15та–21Π²Π° дСсСтднСвка, Π΄Π΅Ρ„ΠΈΠ½ΠΈΡ€Π°ΠΉΠΊΠΈ ΠΏΠΎ-Π±Π°Π²Π΅Π½ спад Π΄ΠΎ срСдата Π½Π° лактацията ΠΈ ΠΏΠΎ-Π±ΡŠΡ€Π· слСд Ρ‚ΠΎΠ²Π°. Π’Π΅Π·ΠΈ Ρ€Π°Π·Π»ΠΈΠΊΠΈ Π² ΠΊΡ€ΠΈΠ²ΠΈΡ‚Π΅ прСдопрСдСлят нСдостовСрна Ρ€Π°Π·Π»ΠΈΠΊΠ° Π² PI1 ΠΌΠ΅ΠΆΠ΄Ρƒ Fm1 ΠΈ Fm2 (0.932 ΠΈ 0.940) ΠΈ ΠΈ ΠΌΠ°Π»ΠΊΠΎ Π½ΠΎ достовСрно ΠΏΡ€Π΅Π²ΡŠΠ·Ρ…ΠΎΠ΄ΡΡ‚Π²ΠΎ Π² PIP Π½Π° Fm2 (0.893) спрямо Fm1 (0.880). Π›Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈΡ‚Π΅ ΠΏΠΎΠ΄ 210 Π΄Π½ΠΈ ΡΡŠΡΡ‚Π°Π²Π»ΡΠ²Π°Ρ‚ 17,8%, ΠΊΠ°Ρ‚ΠΎ постоянството Π΅ ΠΎΡ‚ 0,859 Π΄ΠΎ 0,742, Π° ΠΏΠΈΠΊΠ° Π΅ със 17 Π΄ΠΎ 32% ΠΏΠΎ-нисък ΠΎΡ‚ Π½ΠΎΡ€ΠΌΠ°Π»Π½Π°Ρ‚Π° лактация. ΠŸΠΎΡΡ‚ΠΎΡΠ½ΡΡ‚Π²ΠΎΡ‚ΠΎ Π½Π° Π΄ΡŠΠ»Π³ΠΈΡ‚Π΅ ΠΈ ΠΌΠ½ΠΎΠ³ΠΎ Π΄ΡŠΠ»Π³ΠΈΡ‚Π΅ Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈ Π΅ 0,923 ΠΈ 0,950. Π‘Π°ΠΌΠΎ ΠΌΠ½ΠΎΠ³ΠΎ Π΄ΡŠΠ»Π³ΠΈΡ‚Π΅ Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈ ΠΈΠΌΠ°Ρ‚ Ρ‚ΠΈΠΏΠΈΡ‡Π½Π° ΠΊΡ€ΠΈΠ²Π° – ΠΏΠΈΠΊ Π² Ρ‡Π΅Ρ‚Π²ΡŠΡ€Ρ‚ΠΎ дСсСтднСвиС, с 10% ΠΏΠΎ-нисък ΠΎΡ‚ Π½ΠΎΡ€ΠΌΠ°Π»Π½Π°Ρ‚Π° лактация

    ΠŸΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈ Π½Π° Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΎΠ½Π½Π°Ρ‚Π° ΠΊΡ€ΠΈΠ²Π° Π² зависимост ΠΎΡ‚ ΠΏΡ€ΠΎΠ΄ΡŠΠ»ΠΆΠΈΡ‚Π΅Π»Π½ΠΎΡΡ‚Ρ‚Π° Π½Π° лактация ΠΏΡ€ΠΈ Π±ΠΈΠ²ΠΎΠ»ΠΈΡ†ΠΈ ΠΎΡ‚ Π΄Π²Π΅ Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΈ систСми Π½Π° ΠΎΡ‚Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅

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    Buffaloes from intensive (farm 1 - Fm1; 438 normal, 115 short lactations) and pasture (farm 2 - Fm2; 330 + 58 lactations) system were assigned to study lactation curve via ANOVA (LSMLMW and MIXMDL) per each 10-day period (β€œtenday”), as well as overall (PI1) and post-peak (PIP) persistency. Greatest is the effect of parity and season, also of year on 2nd-12th tenday. Persistency is affected by parity, year and season of calving, and especially by peak month and DIM (P≀0.001). The curves showed peak averagely at 2nd tenday in both herds. Compared to the buffaloes on pasture, Fm1 has significantly lower milk in initial two and in 15th to 21st tendays, defining slower decline to mid-lactation and faster after that. These differences in the curves predetermine a non-significant difference in PI1 between Fm1 and Fm2 (0.932 and 0.940) and a significant but still small superiority in PIP of Fm2 (0.893) over Fm1 (0.880). The lactations below 210 days are 17.8%, persistency being 0.859 to 0.742, and peak by 17 to 32% worse than normal lactation. Long and very long lactations’ persistency is 0.923 and 0.950. Only very long lactations have Π° typical curve – 4th tenday peak, by 10% lower than normal lactation.Бяха Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈ Π±ΠΈΠ²ΠΎΠ»ΠΈΡ†ΠΈ ΠΎΡ‚ ΠΈΠ½Ρ‚Π΅Π½Π·ΠΈΠ²Π½Π° (Fm1 – 438 Π½ΠΎΡ€ΠΌΠ°Π»Π½ΠΈ ΠΈ 115 къси Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈ) ΠΈ пасищна (Fm2 - 330 + 58 Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈ) тСхнология Π½Π° ΠΎΡ‚Π³Π»Π΅ΠΆΠ΄Π°Π½Π΅, Π·Π° ΠΏΡ€ΠΎΡƒΡ‡Π²Π°Π½Π΅ Π½Π° Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΎΠ½Π½Π°Ρ‚Π° ΠΊΡ€ΠΈΠ²Π° Ρ‡Ρ€Π΅Π· ANOVA (LSMLMW ΠΈ MIXMDL) Π·Π° всяка 10-Π΄Π½Π΅Π²ΠΊΠ°, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ Π½Π° ΠΎΠ±Ρ‰ΠΎΡ‚ΠΎ (PI1) ΠΈ слСд-ΠΏΠΈΠΊΠΎΠ²ΠΎ (PIP) постоянство. Най-Π·Π½Π°Ρ‡ΠΈΠΌ Π΅ Π΅Ρ„Π΅ΠΊΡ‚ΡŠΡ‚ Π½Π° ΠΏΠΎΡ€Π΅Π΄Π½Π°Ρ‚Π° лактация ΠΈ сСзона,, ΠΊΠ°ΠΊΡ‚ΠΎ ΠΈ Π½Π° Π³ΠΎΠ΄ΠΈΠ½Π°Ρ‚Π° Π·Π° 2-ра–12-Ρ‚Π° дСсСтднСвка. ΠŸΠΎΡΡ‚ΠΎΡΠ½ΡΡ‚Π²ΠΎΡ‚ΠΎ сС влияС ΠΎΡ‚ ΠΏΠΎΡ€Π΅Π΄Π½Π°Ρ‚Π° лактация, Π³ΠΎΠ΄ΠΈΠ½Π°Ρ‚Π°, сСзона, ΠΈ особСно ΠΎΡ‚ пиковия мСсСц ΠΈ Π΄ΠΎΠΉΠ½ΠΈΡ‚Π΅ Π΄Π½ΠΈ (P≀0.001). ΠŸΠΈΠΊΡŠΡ‚ Π΅ срСдно ΠΏΡ€Π΅Π· 2-Ρ€Π° дСсСтднСвка Π² Π΄Π²Π΅Ρ‚Π΅ стада. Π’ сравнСниС с Π±ΠΈΠ²ΠΎΠ»ΠΈΡ†ΠΈΡ‚Π΅ Π½Π° паша, Fm1 ΠΈΠΌΠ° достовСрно ΠΏΠΎ-ниска млСчност Π² ΠΏΡŠΡ€Π²ΠΈΡ‚Π΅ Π΄Π²Π΅ ΠΈ Π² 15та–21Π²Π° дСсСтднСвка, Π΄Π΅Ρ„ΠΈΠ½ΠΈΡ€Π°ΠΉΠΊΠΈ ΠΏΠΎ-Π±Π°Π²Π΅Π½ спад Π΄ΠΎ срСдата Π½Π° лактацията ΠΈ ΠΏΠΎ-Π±ΡŠΡ€Π· слСд Ρ‚ΠΎΠ²Π°. Π’Π΅Π·ΠΈ Ρ€Π°Π·Π»ΠΈΠΊΠΈ Π² ΠΊΡ€ΠΈΠ²ΠΈΡ‚Π΅ прСдопрСдСлят нСдостовСрна Ρ€Π°Π·Π»ΠΈΠΊΠ° Π² PI1 ΠΌΠ΅ΠΆΠ΄Ρƒ Fm1 ΠΈ Fm2 (0.932 ΠΈ 0.940) ΠΈ ΠΈ ΠΌΠ°Π»ΠΊΠΎ Π½ΠΎ достовСрно ΠΏΡ€Π΅Π²ΡŠΠ·Ρ…ΠΎΠ΄ΡΡ‚Π²ΠΎ Π² PIP Π½Π° Fm2 (0.893) спрямо Fm1 (0.880). Π›Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈΡ‚Π΅ ΠΏΠΎΠ΄ 210 Π΄Π½ΠΈ ΡΡŠΡΡ‚Π°Π²Π»ΡΠ²Π°Ρ‚ 17,8%, ΠΊΠ°Ρ‚ΠΎ постоянството Π΅ ΠΎΡ‚ 0,859 Π΄ΠΎ 0,742, Π° ΠΏΠΈΠΊΠ° Π΅ със 17 Π΄ΠΎ 32% ΠΏΠΎ-нисък ΠΎΡ‚ Π½ΠΎΡ€ΠΌΠ°Π»Π½Π°Ρ‚Π° лактация. ΠŸΠΎΡΡ‚ΠΎΡΠ½ΡΡ‚Π²ΠΎΡ‚ΠΎ Π½Π° Π΄ΡŠΠ»Π³ΠΈΡ‚Π΅ ΠΈ ΠΌΠ½ΠΎΠ³ΠΎ Π΄ΡŠΠ»Π³ΠΈΡ‚Π΅ Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈ Π΅ 0,923 ΠΈ 0,950. Π‘Π°ΠΌΠΎ ΠΌΠ½ΠΎΠ³ΠΎ Π΄ΡŠΠ»Π³ΠΈΡ‚Π΅ Π»Π°ΠΊΡ‚Π°Ρ†ΠΈΠΈ ΠΈΠΌΠ°Ρ‚ Ρ‚ΠΈΠΏΠΈΡ‡Π½Π° ΠΊΡ€ΠΈΠ²Π° – ΠΏΠΈΠΊ Π² Ρ‡Π΅Ρ‚Π²ΡŠΡ€Ρ‚ΠΎ дСсСтднСвиС, с 10% ΠΏΠΎ-нисък ΠΎΡ‚ Π½ΠΎΡ€ΠΌΠ°Π»Π½Π°Ρ‚Π° лактация

    Innovative technologies in laboratory medicine for prevention and control of chronic diseases

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    Π’ΡŠΠ²Π΅ΠΆΠ΄Π°Π½Π΅Ρ‚ΠΎ Π½Π° ΠΈΠ½ΠΎΠ²Π°Ρ‚ΠΈΠ²Π½ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ ΠΈ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π·Π° диагностика ΠΈ Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π΅ процСс ΠΎΡ‚ ΠΊΠ»ΡŽΡ‡ΠΎΠ²ΠΎ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ Π·Π° Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅Ρ‚ΠΎ Π½Π° ΠΌΠ΅Π΄ΠΈΡ†ΠΈΠ½Π°Ρ‚Π°. Π›Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½ΠΈΡ‚Π΅ изслСдвания, ΠΏΠΎΠ΄ΠΏΠΎΠΌΠ°Π³Π°Ρ‰ΠΈ поставянСто Π½Π° ΠΏΡ€Π°Π²ΠΈΠ»Π½Π° Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° ΠΈ прослСдяванС Π½Π° всички заболявания, са основани Π½Π° ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΠΈ ΠΈ стандарти Π·Π° Π΄ΠΎΠ±Ρ€Π° ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ°. Π’ прослСдяванСто Π½Π° Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½ΠΈΡ‚Π΅ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΈ Π½Π° ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈΡ‚Π΅ с Ρ…Ρ€ΠΎΠ½ΠΈΡ‡Π½ΠΈ заболявания Π½ΠΎΠ²ΠΈΡ‚Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² Π΅ΠΆΠ΅Π΄Π½Π΅Π²ΠΈΠ΅Ρ‚ΠΎ Π½Π°Π²Π»ΠΈΠ·Π°Ρ‚ с Π±ΡŠΡ€Π·ΠΈ Ρ‚Π΅ΠΌΠΏΠΎΠ²Π΅. ΠŸΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΡΡ‚Π° прСдставя пСрспСктивитС ΠΈ Π²ΡŠΠ·ΠΌΠΎΠΆΠ½ΠΈΡ‚Π΅ ΠΏΠΎΠ»Π·ΠΈ Π½Π° тСстовСтС, ΠΏΡ€ΠΎΠ²Π΅ΠΆΠ΄Π°Π½ΠΈ Π² Π΄ΠΎΠΌΠ° Π½Π° ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΈΡ‚Π΅ ΠΈΠ»ΠΈ ΠΎΡ‚ тях самитС.The introduction of innovative methods and technologies for the diagnosis and treatment process is crucial to the development of medicine. Laboratory studies supporting a correct diagnosis and monitoring of all diseases are based on the principles and standards of good practice. In the researches of the laboratory parameters of patients with chronic diseases, new technologies are entering with a rapid pace. The article presents the prospect of possible benefits of the tests, which are acomplished at patients` homes or by themselves

    BREEDING OF CEREAL CROPS AT DOBRUDZHA AGRICULTURAL INSTITUTE – GENERAL TOSHEVO, BULGARIA

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    The climate of Bulgaria is very diverse in spite of its small territory. The soil and climatic conditions in the region where Dobrudzha Agricultural Institute is situated are suitable for obtaining high and stable yields from all winter cereals. The breeding program of the institute is aimed at developing high-yielding cultivars of common and durum wheat, triticale, malting and feed barley adaptable to growing under variable soil and climatic conditions. The aim of this investigation is to present the major directions, problems and achievements of the breeding work on the winter cereals at Dobrudzha Agricultural Institute.The results were summarized on several levels:Evaluation of the risk factors for the development, the yield formation and the quality indices;Developing and study on a gene pool of the best world and Bulgarian accessions;Developing of own initial material by using the methods of intervarietal hybridization, experimental mutagenesis and other biotechnology approaches;Developing of a more efficient methodology for field and laboratory evaluation of the breeding materials;Testing of new varieties and production of certified planting material.The portfolio of the institute is quite variable. From the cultivars developed here, 36 genotypes of common wheat and 5 genotypes of durum wheat, 11 triticale cultivars and 6 winter barley varieties have been included in the National Vareital List of Bulgaria

    On the effect of chelating agents and antioxidants on cadmium-induced organ toxicity. An overview

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    Cadmium (Cd) has been classified as a human carcinogen. The World Health Organization (WHO) reported that the concentration of Cd in the environment has rapidly increased in the last few years. In many epidemiological studies, the correlation between environmental exposure of humans to Cd and diseases such as stroke, ischemia, renal and hepatic dysfunction, anemia, osteoporosis and diabetes has been discussed. For the treatment of heavy metal intoxications a therapy with chelating agents has been applied. A chelating agent is a compound that binds the toxic metal ion thus promoting its excretion by the living organisms. Recently, it has been found that Cd-induced toxicity is a result of formation of reactive oxygen species (ROS). These results increased the interest towards the antioxidants as possible agents for the treatment of Cd-induced organ toxicity. Herein, we present summary and discussion of the literature data for the influence of chelating agents and antioxidants on Cd-induced pathological conditions in Cd-intoxicated animals

    Dynamic change of NT- PROBNP in patients with ST-elevation myocardial infarction treated with primary coronary intervention

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    In the recent years important biomarkers haveΒ  emerged asΒ  tools for diagnosis and risk stratification in cardiovascular diseases. Such markers are B- type natriuretic peptide ( BNP) and N- terminal B- typeΒ  natriuretic peptide (NT-proBNP).Peripheral blood for the serum levels ofΒ  NT-proBNP was taken from patients with STEMI before PCI and 24-48hours after the onset of the symptoms of myocardial infarction. Three of the samplesΒ  from all 53 turned out to be positive to NT - proBNPΒ  concentration on Day 0. On day 1 there wasΒ Β  a significantΒ  elevation of the positive samples 11 from 53 patients ( 20,7%) ( p = 0,01).Β AllΒ  patients with STEMI and elevated serum levels of NT- proBNPΒ  have left ventricular ejection fraction <50%.Β Β Our results imply thatΒ  NT -proBNP level and its increase in the serumΒ  may be used as a biomarker for the severity of the ischemic heart disease

    (E)-3-Methyl-6-(3-oxo-3-(3,4,5-trimethoxyphenyl)prop-1-en-1-yl)-2(3H)-benzothiazolone

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    The title compound, (E)-3-methyl-6-(3-oxo-3-(3,4,5-trimethoxyphenyl)prop-1-en-1-yl)-2(3H)-benzothiazolone, was synthesized by both an acid- and base-catalyzed aldol condensation of 3-methyl-6-acetyl-2(3H)-benzothiazolone and 3,4,5-trimethoxyacetophenone. The structure of the target compound was confirmed using 1H-NMR, 13C-NMR, IR, MS, and elemental analysis

    EXTERNAL DETERMINANTS OF SMES’ INTERNATIONALIZATION AND PERFORMANCE IN A CHALLENGING INTERNATIONAL ENVIRONMENT

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    Competitive performance analysis of enterprises is a useful tool for an assessment of the condition and development potential of small and medium-sized enterprises (SMEs) for effective operation in international environment. Dynamics of the global environment creates opportunities for international entrepreneurship, but also requirements for a rapid adaptation to a new situation, and survival in a post-pandemic world. The objective of this paper is to study the external determinants of internationalization and competitive performance in a challenging environment for international entrepreneurship by a broad overview of the literature and an empirical survey on a representative sample of 500 Bulgarian firms, of which 468 are SMEs. It attempts to contribute to existing theories and models explaining the external factors influencing internationalization and their co-dependence with the competitive performance of SMEs under unforseen circumstances. The findings demonstrate that unexpected events in the global environment might trigger unpredictable and rapid changes provoking a negative response of companies - shrinking costs, reduction of resources for internationalization, termination of operations that will affect future performance, and international activities of SMEs. The findings can serve as a support tool for practitioners, consultants, and researchers in the analysis and assessment of the impact of unforeseen circumstances and crises on the performance of SMEs targeted at occupying competitive positions in international markets
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