30 research outputs found
ΠΠ°ΡΡΠ½ΠΎΠΊΠΈΡΠ΅Π»ΠΈΠ½Π΅Π½ ΡΡΡΡΠ°Π² Π½Π° Π±ΠΈΠ²ΠΎΠ»ΡΠΊΠΎ ΠΌΠ»ΡΠΊΠΎ ΠΏΡΠΈ ΠΈΠ½ΡΠ΅Π½Π·ΠΈΠ²Π½ΠΎ ΠΈ ΠΏΠ°ΡΠΈΡΠ½ΠΎ ΠΎΡΠ³Π»Π΅ΠΆΠ΄Π°Π½Π΅
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 β 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 β 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‘ ΡΠ΅Π» ΠΎΡΠ΅Π½ΠΊΠ° Π½Π° ΠΌΠ°ΡΡΠ½ΠΎΠΊΠΈΡΠ΅Π»ΠΈΡ ΡΡΡΡΠ°Π² Π½Π° Π±ΠΈΠ²ΠΎΠ»ΡΠΊΠΎΡΠΎ ΠΌΠ»ΡΠΊΠΎ ΠΎΡ ΠΈΠ½ΡΠ΅Π½Π·ΠΈΠ²Π½Π° ΠΈ ΠΏΠ°ΡΠΈΡΠ½Π° ΡΠΈΡΡΠ΅ΠΌΠ° Π·Π° ΠΎΡΠ³Π»Π΅ΠΆΠ΄Π°Π½Π΅, Π² ΠΏΡΠΎΡΡΠ²Π°Π½Π΅ΡΠΎ Π±ΡΡ
Π° Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈ Π΄Π²Π΅ ΡΠ΅ΡΠΌΠΈ. ΠΡ ΡΠ΅ΡΠΌΠ° 1 Π±ΡΡ
Π° Π²Π·Π΅ΡΠΈ 9 Π±ΠΈΠ²ΠΎΠ»ΠΈΡΠΈ Π±Π΅Π· ΠΏΠ°ΡΠ°, Ρ
ΡΠ°Π½Π΅Π½ΠΈ ΡΡΡ Π·Π΅Π»Π΅Π½Π° ΠΌΠ°ΡΠ° ΠΈΠ»ΠΈ ΡΠ°ΡΠ΅Π²ΠΈΡΠ΅Π½ ΡΠΈΠ»Π°ΠΆ, Π° ΠΎΡ ΡΠ΅ΡΠΌΠ° 2 β 8 Π±ΠΈΠ²ΠΎΠ»ΠΈΡΠΈ Π½Π° ΠΏΠ°ΡΠΈΡΠ½ΠΎ ΠΎΡΠ³Π»Π΅ΠΆΠ΄Π°Π½Π΅ Π΄ΠΎ Π½ΠΎΠ΅ΠΌΠ²ΡΠΈ ΠΈ Π½Π° ΡΠ΅Π½ΠΎ ΠΏΡΠ΅Π· Π·ΠΈΠΌΠ°ΡΠ°. ΠΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»Π½ΠΈΡΠ΅ ΠΏΡΠΎΠ±ΠΈ ΠΌΠ»ΡΠΊΠΎ, Π²Π·Π΅ΡΠΈ Π² 7 ΠΌΠ΅ΡΠ΅ΡΠ½ΠΈ ΡΠ΅ΡΡΠΎΠ²ΠΈ Π΄Π½ΠΈ ΠΎΡ Π°Π²Π³ΡΡΡ Π΄ΠΎ ΡΠ΅Π²ΡΡΠ°ΡΠΈ, Π±ΡΡ
Π° ΠΏΠΎΠ΄Π»ΠΎΠΆΠ΅Π½ΠΈ Π½Π° Π»ΠΈΠΏΠΈΠ΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° Π½Π° Roese-Gottlieb. ΠΡΡ
Π° ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈ Π°Π½Π°Π»ΠΈΠ·ΠΈ Π½Π° Π²Π°ΡΠΈΠ°Π½ΡΠ° Π·Π° Π²ΡΡΠΊΠ° ΠΌΠ°ΡΡΠ½Π° ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π° (ΠΠ), Π²ΠΊΠ»ΡΡΠ²Π°ΠΉΠΊΠΈ Π΅ΡΠ΅ΠΊΡΠΈΡΠ΅ Π½Π° ΡΠΈΡΠ΅ΠΌΠ°ΡΠ° Π½Π° ΠΎΡΠ³Π»Π΅ΠΆΠ΄Π°Π½Π΅, ΡΠ΅ΡΡΠΎΠ²ΠΈΡ Π΄Π΅Π½, ΠΌΠ»Π΅ΡΠ½ΠΎΡΡΡΠ° ΠΈ ΠΌΠ°ΡΠ»Π΅Π½ΠΎΡΡΡΠ°. ΠΠ΅ΡΠ΅ ΡΡΡΠ°Π½ΠΎΠ²Π΅Π½ΠΎ, ΡΠ΅ ΡΠΈΡΡΠ΅ΠΌΠ°ΡΠ° Π½Π° ΠΎΡΠ³Π»Π΅ΠΆΠ΄Π°Π½Π΅ Π΅ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ΅Π½ ΠΈΠ·ΡΠΎΡΠ½ΠΈΠΊ Π½Π° Π²Π°ΡΠΈΡΠ°Π½Π΅ Π½Π° Π²ΡΠΈΡΠΊΠΈ ΠΎΡΠ΄Π΅Π»Π½ΠΈ ΠΌΠΎΠ½ΠΎΠ½Π΅Π½Π°ΡΠΈΡΠ΅Π½ΠΈ
ΠΈ ΠΏΠΎΠ»ΠΈΠ½Π΅Π½Π°ΡΠΈΡΠ΅Π½ΠΈ (ΠΠΠΠ) ΠΠ, ΠΊΠ°ΠΊΡΠΎ ΠΈ βΠΠΠΠ. ΠΡΠΈΡΠΊΠΈ ΠΠΠΠ, Ρ ΠΈΠ·ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ Π½Π° C20:3n3 ΠΈ C20:2n6, ΠΏΠΎΠΊΠ°Π·Π²Π°Ρ ΠΏΠΎ-Π΄ΠΎΠ±ΡΠΈ ΡΡΠΎΠΉΠ½ΠΎΡΡΠΈ Π² ΠΌΠ»ΡΠΊΠΎΡΠΎ ΠΎΡ Π±ΠΈΠ²ΠΎΠ»ΠΈΡΠΈΡΠ΅ Π½Π° ΠΏΠ°ΡΠ° β ΠΏΠΎΠ²Π΅ΡΠ΅ ΠΎΡ Π΄Π²ΡΠΊΡΠ°ΡΠ½Π° ΡΠ°Π·Π»ΠΈΠΊΠ° Π² ΡΡΠΌΠ°ΡΠ° ΠΎΡ ΠΊΠΎΠ½ΡΠ³ΠΈΡΠ°Π½ΠΈΡΠ΅ Π»ΠΈΠ½ΠΎΠ»ΠΎΠ²ΠΈ ΠΊΠΈΡΠ΅Π»ΠΈΠ½ΠΈ (0,913%) ΠΈ Π² ΡΠ°ΡΡΠ½ΠΎΡΡ Π² C18:2c9t11 (0,829%), Π² Π°Π»ΡΠ°-Π»ΠΈΠ½ΠΎΠ»Π΅Π½ΠΎΠ²Π° (0,145%) ΠΈ Π³Π°ΠΌΠ°-Π»ΠΈΠ½ΠΎΠ»Π΅Π½ΠΎΠ²Π° (0,502%) ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π°, ΠΊΠ°ΠΊΡΠΎ ΠΈ Π² ΠΎΠΌΠ΅Π³Π°-3 (n3), ΠΏΡΠ°Π²Π΅ΠΉΠΊΠΈ ΡΡΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ΡΠΎ n6/n3 ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΎ ΠΏΠΎ-Π½ΠΈΡΠΊΠΎ (1,99). Π’ΠΎΠ²Π° ΡΠ΅ ΠΎΡΠ½Π°ΡΡ Π΄ΠΎ Π³ΠΎΠ»ΡΠΌΠ° ΡΡΠ΅ΠΏΠ΅Π½ Π΄ΠΎ ΡΡΠ°Π½Ρ-Π‘18:1 (4,027%), Π² ΡΠ°ΡΡΠ½ΠΎΡΡ C18:1t11 (2,323%), ΠΈ Π² ΠΏΠΎ-ΠΌΠ°Π»ΠΊΠ° Π΄ΠΎ ΠΈΠ½Π΄Π΅ΠΊΡΠ° Π½Π° Π°ΡΠ΅ΡΠΎΠ³Π΅Π½Π½ΠΎΡΡ (2,44) ΠΈ ΡΡΠΎΠΌΠ±ΠΎΠ³Π΅Π½Π½ΠΎΡΡ (3,21). ΠΠΎΠΊΠ°ΡΠΎ C18:4n3 ΡΠ΅ ΠΏΠΎΠ²ΠΈΡΠ°Π²Π°, C18:1t11 ΠΈ Π³Π°ΠΌΠ°-Π»ΠΈΠ½ΠΎΠ»Π΅Π½ΠΎΠ²Π°ΡΠ° ΠΊΠΈΡΠ΅Π»ΠΈΠ½Π° Π½Π°ΠΌΠ°Π»ΡΠ²Π°Ρ Ρ Π½Π°ΠΏΡΠ΅Π΄Π²Π°Π½Π΅ Π½Π° ΠΏΠ°ΡΠΈΡΠ½ΠΈΡ ΡΠ΅Π·ΠΎΠ½, ΠΊΠ°ΠΊΡΠΎ ΠΈ ΠΊΠΎΠ½ΡΠ³ΠΈΡΠ°Π½ΠΈΡΠ΅ Π»ΠΈΠ½ΠΎΠ»ΠΎΠ²ΠΈ ΠΊΠΈΡΠ΅Π»ΠΈΠ½ΠΈ Ρ ΠΈΠ·ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅
Π½Π° ΠΏΠΈΠΊΠ° ΠΏΡΠ΅Π· Π΄Π΅ΠΊΠ΅ΠΌΠ²ΡΠΈ. C20:5n3, C22:5n3 ΠΈ C20:3n6 ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΈΡΠ°Ρ Ρ ΠΏΠΎΠ΄ΠΎΠ±Π΅Π½, ΠΎΡΠ΅ ΠΏΠΎ-ΡΠΈΠ»Π½ΠΎ ΠΈΠ·ΡΠ°Π·Π΅Π½ ΠΏΠΈΠΊ
ΠΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈ Π½Π° Π»Π°ΠΊΡΠ°ΡΠΈΠΎΠ½Π½Π°ΡΠ° ΠΊΡΠΈΠ²Π° Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ ΠΎΡ ΠΏΡΠΎΠ΄ΡΠ»ΠΆΠΈΡΠ΅Π»Π½ΠΎΡΡΡΠ° Π½Π° Π»Π°ΠΊΡΠ°ΡΠΈΡ ΠΏΡΠΈ Π±ΠΈΠ²ΠΎΠ»ΠΈΡΠΈ ΠΎΡ Π΄Π²Π΅ ΡΠ°Π·Π»ΠΈΡΠ½ΠΈ ΡΠΈΡΡΠ΅ΠΌΠΈ Π½Π° ΠΎΡΠ³Π»Π΅ΠΆΠ΄Π°Π½Π΅
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 (βtendayβ), 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 (Pβ€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 lactationsβ persistency is 0.923 and 0.950. Only very long lactations have Π° typical curve β 4th tenday peak, by 10% lower than normal lactation.ΠΡΡ
Π° Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈ Π±ΠΈΠ²ΠΎΠ»ΠΈΡΠΈ ΠΎΡ ΠΈΠ½ΡΠ΅Π½Π·ΠΈΠ²Π½Π° (Fm1 β 438 Π½ΠΎΡΠΌΠ°Π»Π½ΠΈ ΠΈ 115 ΠΊΡΡΠΈ Π»Π°ΠΊΡΠ°ΡΠΈΠΈ) ΠΈ ΠΏΠ°ΡΠΈΡΠ½Π° (Fm2 - 330 + 58 Π»Π°ΠΊΡΠ°ΡΠΈΠΈ) ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ Π½Π° ΠΎΡΠ³Π»Π΅ΠΆΠ΄Π°Π½Π΅, Π·Π° ΠΏΡΠΎΡΡΠ²Π°Π½Π΅ Π½Π° Π»Π°ΠΊΡΠ°ΡΠΈΠΎΠ½Π½Π°ΡΠ° ΠΊΡΠΈΠ²Π° ΡΡΠ΅Π· ANOVA (LSMLMW ΠΈ MIXMDL) Π·Π° Π²ΡΡΠΊΠ° 10-Π΄Π½Π΅Π²ΠΊΠ°, ΠΊΠ°ΠΊΡΠΎ ΠΈ Π½Π° ΠΎΠ±ΡΠΎΡΠΎ (PI1) ΠΈ ΡΠ»Π΅Π΄-ΠΏΠΈΠΊΠΎΠ²ΠΎ (PIP) ΠΏΠΎΡΡΠΎΡΠ½ΡΡΠ²ΠΎ. ΠΠ°ΠΉ-Π·Π½Π°ΡΠΈΠΌ Π΅ Π΅ΡΠ΅ΠΊΡΡΡ Π½Π° ΠΏΠΎΡΠ΅Π΄Π½Π°ΡΠ°
Π»Π°ΠΊΡΠ°ΡΠΈΡ ΠΈ ΡΠ΅Π·ΠΎΠ½Π°,, ΠΊΠ°ΠΊΡΠΎ ΠΈ Π½Π° Π³ΠΎΠ΄ΠΈΠ½Π°ΡΠ° Π·Π° 2-ΡΠ°β12-ΡΠ° Π΄Π΅ΡΠ΅ΡΠ΄Π½Π΅Π²ΠΊΠ°. ΠΠΎΡΡΠΎΡΠ½ΡΡΠ²ΠΎΡΠΎ ΡΠ΅ Π²Π»ΠΈΡΠ΅ ΠΎΡ ΠΏΠΎΡΠ΅Π΄Π½Π°ΡΠ° Π»Π°ΠΊΡΠ°ΡΠΈΡ, Π³ΠΎΠ΄ΠΈΠ½Π°ΡΠ°, ΡΠ΅Π·ΠΎΠ½Π°, ΠΈ ΠΎΡΠΎΠ±Π΅Π½ΠΎ ΠΎΡ ΠΏΠΈΠΊΠΎΠ²ΠΈΡ ΠΌΠ΅ΡΠ΅Ρ ΠΈ Π΄ΠΎΠΉΠ½ΠΈΡΠ΅ Π΄Π½ΠΈ (Pβ€0.001). ΠΠΈΠΊΡΡ Π΅ ΡΡΠ΅Π΄Π½ΠΎ ΠΏΡΠ΅Π· 2-ΡΠ° Π΄Π΅ΡΠ΅ΡΠ΄Π½Π΅Π²ΠΊΠ° Π² Π΄Π²Π΅ΡΠ΅ ΡΡΠ°Π΄Π°. Π ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ Ρ Π±ΠΈΠ²ΠΎΠ»ΠΈΡΠΈΡΠ΅ Π½Π° ΠΏΠ°ΡΠ°, Fm1 ΠΈΠΌΠ° Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ ΠΏΠΎ-Π½ΠΈΡΠΊΠ° ΠΌΠ»Π΅ΡΠ½ΠΎΡΡ Π² ΠΏΡΡΠ²ΠΈΡΠ΅
Π΄Π²Π΅ ΠΈ Π² 15ΡΠ°β21Π²Π° Π΄Π΅ΡΠ΅ΡΠ΄Π½Π΅Π²ΠΊΠ°, Π΄Π΅ΡΠΈΠ½ΠΈΡΠ°ΠΉΠΊΠΈ ΠΏΠΎ-Π±Π°Π²Π΅Π½ ΡΠΏΠ°Π΄ Π΄ΠΎ ΡΡΠ΅Π΄Π°ΡΠ° Π½Π° Π»Π°ΠΊΡΠ°ΡΠΈΡΡΠ° ΠΈ ΠΏΠΎ-Π±ΡΡΠ· ΡΠ»Π΅Π΄ ΡΠΎΠ²Π°. Π’Π΅Π·ΠΈ ΡΠ°Π·Π»ΠΈΠΊΠΈ Π² ΠΊΡΠΈΠ²ΠΈΡΠ΅ ΠΏΡΠ΅Π΄ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡ Π½Π΅Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½Π° ΡΠ°Π·Π»ΠΈΠΊΠ° Π² PI1 ΠΌΠ΅ΠΆΠ΄Ρ Fm1 ΠΈ Fm2 (0.932 ΠΈ 0.940) ΠΈ ΠΈ ΠΌΠ°Π»ΠΊΠΎ Π½ΠΎ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ ΠΏΡΠ΅Π²ΡΠ·Ρ
ΠΎΠ΄ΡΡΠ²ΠΎ Π² PIP Π½Π° Fm2 (0.893) ΡΠΏΡΡΠΌΠΎ Fm1 (0.880). ΠΠ°ΠΊΡΠ°ΡΠΈΠΈΡΠ΅ ΠΏΠΎΠ΄ 210 Π΄Π½ΠΈ ΡΡΡΡΠ°Π²Π»ΡΠ²Π°Ρ 17,8%,
ΠΊΠ°ΡΠΎ ΠΏΠΎΡΡΠΎΡΠ½ΡΡΠ²ΠΎΡΠΎ Π΅ ΠΎΡ 0,859 Π΄ΠΎ 0,742, Π° ΠΏΠΈΠΊΠ° Π΅ ΡΡΡ 17 Π΄ΠΎ 32% ΠΏΠΎ-Π½ΠΈΡΡΠΊ ΠΎΡ Π½ΠΎΡΠΌΠ°Π»Π½Π°ΡΠ° Π»Π°ΠΊΡΠ°ΡΠΈΡ. ΠΠΎΡΡΠΎΡΠ½ΡΡΠ²ΠΎΡΠΎ Π½Π° Π΄ΡΠ»Π³ΠΈΡΠ΅ ΠΈ ΠΌΠ½ΠΎΠ³ΠΎ Π΄ΡΠ»Π³ΠΈΡΠ΅ Π»Π°ΠΊΡΠ°ΡΠΈΠΈ Π΅ 0,923 ΠΈ 0,950. Π‘Π°ΠΌΠΎ ΠΌΠ½ΠΎΠ³ΠΎ Π΄ΡΠ»Π³ΠΈΡΠ΅ Π»Π°ΠΊΡΠ°ΡΠΈΠΈ ΠΈΠΌΠ°Ρ ΡΠΈΠΏΠΈΡΠ½Π° ΠΊΡΠΈΠ²Π° β ΠΏΠΈΠΊ Π² ΡΠ΅ΡΠ²ΡΡΡΠΎ Π΄Π΅ΡΠ΅ΡΠ΄Π½Π΅Π²ΠΈΠ΅, Ρ 10% ΠΏΠΎ-Π½ΠΈΡΡΠΊ ΠΎΡ Π½ΠΎΡΠΌΠ°Π»Π½Π°ΡΠ° Π»Π°ΠΊΡΠ°ΡΠΈΡ
ΠΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈ Π½Π° Π»Π°ΠΊΡΠ°ΡΠΈΠΎΠ½Π½Π°ΡΠ° ΠΊΡΠΈΠ²Π° Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ ΠΎΡ ΠΏΡΠΎΠ΄ΡΠ»ΠΆΠΈΡΠ΅Π»Π½ΠΎΡΡΡΠ° Π½Π° Π»Π°ΠΊΡΠ°ΡΠΈΡ ΠΏΡΠΈ Π±ΠΈΠ²ΠΎΠ»ΠΈΡΠΈ ΠΎΡ Π΄Π²Π΅ ΡΠ°Π·Π»ΠΈΡΠ½ΠΈ ΡΠΈΡΡΠ΅ΠΌΠΈ Π½Π° ΠΎΡΠ³Π»Π΅ΠΆΠ΄Π°Π½Π΅
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 (βtendayβ), 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 (Pβ€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 lactationsβ persistency is 0.923 and 0.950. Only very long lactations have Π° typical curve β 4th tenday peak, by 10% lower than normal lactation.ΠΡΡ
Π° Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈ Π±ΠΈΠ²ΠΎΠ»ΠΈΡΠΈ ΠΎΡ ΠΈΠ½ΡΠ΅Π½Π·ΠΈΠ²Π½Π° (Fm1 β 438 Π½ΠΎΡΠΌΠ°Π»Π½ΠΈ ΠΈ 115 ΠΊΡΡΠΈ Π»Π°ΠΊΡΠ°ΡΠΈΠΈ) ΠΈ ΠΏΠ°ΡΠΈΡΠ½Π° (Fm2 - 330 + 58 Π»Π°ΠΊΡΠ°ΡΠΈΠΈ) ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ Π½Π° ΠΎΡΠ³Π»Π΅ΠΆΠ΄Π°Π½Π΅, Π·Π° ΠΏΡΠΎΡΡΠ²Π°Π½Π΅ Π½Π° Π»Π°ΠΊΡΠ°ΡΠΈΠΎΠ½Π½Π°ΡΠ° ΠΊΡΠΈΠ²Π° ΡΡΠ΅Π· ANOVA (LSMLMW ΠΈ MIXMDL) Π·Π° Π²ΡΡΠΊΠ° 10-Π΄Π½Π΅Π²ΠΊΠ°, ΠΊΠ°ΠΊΡΠΎ ΠΈ Π½Π° ΠΎΠ±ΡΠΎΡΠΎ (PI1) ΠΈ ΡΠ»Π΅Π΄-ΠΏΠΈΠΊΠΎΠ²ΠΎ (PIP) ΠΏΠΎΡΡΠΎΡΠ½ΡΡΠ²ΠΎ. ΠΠ°ΠΉ-Π·Π½Π°ΡΠΈΠΌ Π΅ Π΅ΡΠ΅ΠΊΡΡΡ Π½Π° ΠΏΠΎΡΠ΅Π΄Π½Π°ΡΠ°
Π»Π°ΠΊΡΠ°ΡΠΈΡ ΠΈ ΡΠ΅Π·ΠΎΠ½Π°,, ΠΊΠ°ΠΊΡΠΎ ΠΈ Π½Π° Π³ΠΎΠ΄ΠΈΠ½Π°ΡΠ° Π·Π° 2-ΡΠ°β12-ΡΠ° Π΄Π΅ΡΠ΅ΡΠ΄Π½Π΅Π²ΠΊΠ°. ΠΠΎΡΡΠΎΡΠ½ΡΡΠ²ΠΎΡΠΎ ΡΠ΅ Π²Π»ΠΈΡΠ΅ ΠΎΡ ΠΏΠΎΡΠ΅Π΄Π½Π°ΡΠ° Π»Π°ΠΊΡΠ°ΡΠΈΡ, Π³ΠΎΠ΄ΠΈΠ½Π°ΡΠ°, ΡΠ΅Π·ΠΎΠ½Π°, ΠΈ ΠΎΡΠΎΠ±Π΅Π½ΠΎ ΠΎΡ ΠΏΠΈΠΊΠΎΠ²ΠΈΡ ΠΌΠ΅ΡΠ΅Ρ ΠΈ Π΄ΠΎΠΉΠ½ΠΈΡΠ΅ Π΄Π½ΠΈ (Pβ€0.001). ΠΠΈΠΊΡΡ Π΅ ΡΡΠ΅Π΄Π½ΠΎ ΠΏΡΠ΅Π· 2-ΡΠ° Π΄Π΅ΡΠ΅ΡΠ΄Π½Π΅Π²ΠΊΠ° Π² Π΄Π²Π΅ΡΠ΅ ΡΡΠ°Π΄Π°. Π ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ Ρ Π±ΠΈΠ²ΠΎΠ»ΠΈΡΠΈΡΠ΅ Π½Π° ΠΏΠ°ΡΠ°, Fm1 ΠΈΠΌΠ° Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ ΠΏΠΎ-Π½ΠΈΡΠΊΠ° ΠΌΠ»Π΅ΡΠ½ΠΎΡΡ Π² ΠΏΡΡΠ²ΠΈΡΠ΅
Π΄Π²Π΅ ΠΈ Π² 15ΡΠ°β21Π²Π° Π΄Π΅ΡΠ΅ΡΠ΄Π½Π΅Π²ΠΊΠ°, Π΄Π΅ΡΠΈΠ½ΠΈΡΠ°ΠΉΠΊΠΈ ΠΏΠΎ-Π±Π°Π²Π΅Π½ ΡΠΏΠ°Π΄ Π΄ΠΎ ΡΡΠ΅Π΄Π°ΡΠ° Π½Π° Π»Π°ΠΊΡΠ°ΡΠΈΡΡΠ° ΠΈ ΠΏΠΎ-Π±ΡΡΠ· ΡΠ»Π΅Π΄ ΡΠΎΠ²Π°. Π’Π΅Π·ΠΈ ΡΠ°Π·Π»ΠΈΠΊΠΈ Π² ΠΊΡΠΈΠ²ΠΈΡΠ΅ ΠΏΡΠ΅Π΄ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡ Π½Π΅Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½Π° ΡΠ°Π·Π»ΠΈΠΊΠ° Π² PI1 ΠΌΠ΅ΠΆΠ΄Ρ Fm1 ΠΈ Fm2 (0.932 ΠΈ 0.940) ΠΈ ΠΈ ΠΌΠ°Π»ΠΊΠΎ Π½ΠΎ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ ΠΏΡΠ΅Π²ΡΠ·Ρ
ΠΎΠ΄ΡΡΠ²ΠΎ Π² PIP Π½Π° Fm2 (0.893) ΡΠΏΡΡΠΌΠΎ Fm1 (0.880). ΠΠ°ΠΊΡΠ°ΡΠΈΠΈΡΠ΅ ΠΏΠΎΠ΄ 210 Π΄Π½ΠΈ ΡΡΡΡΠ°Π²Π»ΡΠ²Π°Ρ 17,8%,
ΠΊΠ°ΡΠΎ ΠΏΠΎΡΡΠΎΡΠ½ΡΡΠ²ΠΎΡΠΎ Π΅ ΠΎΡ 0,859 Π΄ΠΎ 0,742, Π° ΠΏΠΈΠΊΠ° Π΅ ΡΡΡ 17 Π΄ΠΎ 32% ΠΏΠΎ-Π½ΠΈΡΡΠΊ ΠΎΡ Π½ΠΎΡΠΌΠ°Π»Π½Π°ΡΠ° Π»Π°ΠΊΡΠ°ΡΠΈΡ. ΠΠΎΡΡΠΎΡΠ½ΡΡΠ²ΠΎΡΠΎ Π½Π° Π΄ΡΠ»Π³ΠΈΡΠ΅ ΠΈ ΠΌΠ½ΠΎΠ³ΠΎ Π΄ΡΠ»Π³ΠΈΡΠ΅ Π»Π°ΠΊΡΠ°ΡΠΈΠΈ Π΅ 0,923 ΠΈ 0,950. Π‘Π°ΠΌΠΎ ΠΌΠ½ΠΎΠ³ΠΎ Π΄ΡΠ»Π³ΠΈΡΠ΅ Π»Π°ΠΊΡΠ°ΡΠΈΠΈ ΠΈΠΌΠ°Ρ ΡΠΈΠΏΠΈΡΠ½Π° ΠΊΡΠΈΠ²Π° β ΠΏΠΈΠΊ Π² ΡΠ΅ΡΠ²ΡΡΡΠΎ Π΄Π΅ΡΠ΅ΡΠ΄Π½Π΅Π²ΠΈΠ΅, Ρ 10% ΠΏΠΎ-Π½ΠΈΡΡΠΊ ΠΎΡ Π½ΠΎΡΠΌΠ°Π»Π½Π°ΡΠ° Π»Π°ΠΊΡΠ°ΡΠΈΡ
Innovative technologies in laboratory medicine for prevention and control of chronic diseases
ΠΡΠ²Π΅ΠΆΠ΄Π°Π½Π΅ΡΠΎ Π½Π° ΠΈΠ½ΠΎΠ²Π°ΡΠΈΠ²Π½ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π·Π° Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ° ΠΈ Π»Π΅ΡΠ΅Π½ΠΈΠ΅ Π΅ ΠΏΡΠΎΡΠ΅Ρ ΠΎΡ ΠΊΠ»ΡΡΠΎΠ²ΠΎ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π·Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΡΠΎ Π½Π° ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Π°ΡΠ°. ΠΠ°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΈΡΠ΅ ΠΈΠ·ΡΠ»Π΅Π΄Π²Π°Π½ΠΈΡ, ΠΏΠΎΠ΄ΠΏΠΎΠΌΠ°Π³Π°ΡΠΈ ΠΏΠΎΡΡΠ°Π²ΡΠ½Π΅ΡΠΎ Π½Π° ΠΏΡΠ°Π²ΠΈΠ»Π½Π° Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° ΠΈ ΠΏΡΠΎΡΠ»Π΅Π΄ΡΠ²Π°Π½Π΅ Π½Π° Π²ΡΠΈΡΠΊΠΈ Π·Π°Π±ΠΎΠ»ΡΠ²Π°Π½ΠΈΡ, ΡΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈ Π½Π° ΠΏΡΠΈΠ½ΡΠΈΠΏΠΈ ΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠΈ Π·Π° Π΄ΠΎΠ±ΡΠ° ΠΏΡΠ°ΠΊΡΠΈΠΊΠ°. Π ΠΏΡΠΎΡΠ»Π΅Π΄ΡΠ²Π°Π½Π΅ΡΠΎ Π½Π° Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΈΡΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈ Π½Π° ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΈΡΠ΅ Ρ Ρ
ΡΠΎΠ½ΠΈΡΠ½ΠΈ Π·Π°Π±ΠΎΠ»ΡΠ²Π°Π½ΠΈΡ Π½ΠΎΠ²ΠΈΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² Π΅ΠΆΠ΅Π΄Π½Π΅Π²ΠΈΠ΅ΡΠΎ Π½Π°Π²Π»ΠΈΠ·Π°Ρ Ρ Π±ΡΡΠ·ΠΈ ΡΠ΅ΠΌΠΏΠΎΠ²Π΅. ΠΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡΡΠ° ΠΏΡΠ΅Π΄ΡΡΠ°Π²Ρ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²ΠΈΡΠ΅ ΠΈ Π²ΡΠ·ΠΌΠΎΠΆΠ½ΠΈΡΠ΅ ΠΏΠΎΠ»Π·ΠΈ Π½Π° ΡΠ΅ΡΡΠΎΠ²Π΅ΡΠ΅, ΠΏΡΠΎΠ²Π΅ΠΆΠ΄Π°Π½ΠΈ Π² Π΄ΠΎΠΌΠ° Π½Π° ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΈΡΠ΅ ΠΈΠ»ΠΈ ΠΎΡ ΡΡΡ
ΡΠ°ΠΌΠΈΡΠ΅.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 β GENERAL TOSHEVO, BULGARIA
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
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
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
Nanoporous ceramic hybrid materials synthesized by organically modofied ceramic precursor with terminal amine group
(E)-3-Methyl-6-(3-oxo-3-(3,4,5-trimethoxyphenyl)prop-1-en-1-yl)-2(3H)-benzothiazolone
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 SMESβ INTERNATIONALIZATION AND PERFORMANCE IN A CHALLENGING INTERNATIONAL ENVIRONMENT
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