FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2555755762> ?p ?o ?g. }

• W2555755762 abstract "Lipomobilization is an important factor during transition period in dairy cattle. An exceeded lipomobilization, as in the lipomobilization syndrome, is leading to typical production diseases like displaced abomasum, ketosis or fatty liver and additionally causes a decreased fertility (GRUMMER 1993; DRACKLEY 1999; LEBLANC 2010; OSPINA et al. 2010; MCART et al. 2012). This has economic consequences for farmers. Therefore it is important to prevent exceeded lipomobilization. Overcondition is known to cause lipomobilization syndrome post partum (ROCHE 2006; ROCHE et al. 2007). Therefore, a precise assessment of the body condition is essential. For humans it is known, that especially to much visceral fat leads to health problems as diabetes and the metabolic syndrome (WAJCHENBERG 2000; LEE et al. 2013). Also in cattle there are studies that show metabolic differences between subcutaneous and visceral adipose tissue, like higher lipolytic activity in retroperitoneal fat tissue (LOCHER et al. 2011; VON SOOSTEN et al. 2011; LOCHER et al. 2012; HAUSSLER et al. 2013; JI et al. 2014; KABARA et al. 2014; SAREMI et al. 2014). Also overfeeding in cattle leads to a faster accumulation in the mesenteric fat depot (DRACKLEY et al. 2014). RIBEIRO et al. 2008 developed a method to assess internal fat (IFAT) in beef cattle by measuring kidney fat depth ultrasonographically. This provides a possibility to detect the dynamic changes of IFAT in one animal over a certain period of time, without slaughtering the animal. Nevertheless only the total amount of fat in an animal is estimated and not single depots. The aim of the first part of this work was to develop a method to assess the weight of different fat depots of German Holstein by using ultrasonographic measuring points and body size measurements. Therefore 29 German Holstein cows and heifers were examined ultrasonographically and slaughtered afterwards. The transcutaneous ultrasonographic measuring points were located to measure subcutaneous fat thickness, thickness of the abdominal wall, kidney fat thickness and retroperitoneal fat thickness over the liver. After slaughter process fat was dissected from the carcass and weight separately as subcutaneous, total abdominal, retroperitoneal, omental and mesenteric fat depot. The previous measurement of the fat thickness was done in duplicate and afterwards means were calculated. Further statistical analysis was done with means of every ultrasonographic measuring point. Statistical analysis was done using SAS 9.3. A stepwise multivariate regression analysis was calculated for the five mentioned fat depots. For calculating the depots all measuring points and body sizes were used. Repeated measurements for two animals on two days and calculation of variation coefficients of each ultrasonographic measuring point were done to check repeatability. Additionally root mean square error (RMSE) was calculated to check the accuracy of the estimation equations. Furthermore estimated and actual values of the fat depots were correlated. All those calculations showed that estimation of the above mentioned fat depots is possible with those ultrasonographic measurements with sufficient precision. This method provides a possibility to examine the dynamic changes of those five fat depots over a certain period of time. In the second part of this study the developed method was used to examine the changes of the mentioned fat depots during the last 42 days before estimated parturition and first 100 days in milk and testing two types of feeding regimes with and without supplementation of niacin. The animals were divided into two basic feeding groups. The low concentrate group (LC, n = 22) got feed with practical orientation, starting at day 42 ap with 30 % concentrate and 70 % roughage, which was increased from day 1 pp until day 16 pp up to 50 % concentrate and 50 % roughage. The high concentrate group (HC, n = 25) started with 60 % concentrate and 40 % roughage, was decreased after calving to 30 % concentrate and 70 % roughage and raised slowly up to 50 % concentrate and 50 % roughage until day 24. Feeding level of 50 % concentrate and 50 % roughage in both groups was maintained until the end of the trial at day 100. Roughage included 50 % corn silage and 50 % grass silage on DM basis and was fed ad libitum via self- feeding stations (type RIC, Insentec B.V., Merknese, The Netherlands) (Tienken, oral communication). The LC and HC group were again subdivided into two groups. One of each as a control group (LCC, n = 12, HCC, n = 13) and one of each with a supplementation of 24 g powdered, not rumen protected NA (Mianyang Vanetta Pharmaceutical Technology Co., Ltd, Sichuan, 119 China) included in 1 kg pelleted concentrate per day between day 42 ap and day 24 pp (LCN, n = 10, HCN, n = 12). Each of the four feeding groups contained heifers and cows. The ultrasonographic measurement took place on day 42 ap, day 3, 21 and 100 pp. To detect the de- and increase of the fat depots differences in three time periods were calculated. Fist the accumulation in the dry period between day 42 ap and 3 pp was calculated, than the decrease in FC between day 3 and 21 and additionally between day 21 and100 pp in EL. Furthermore the daily de- and increase was calculated for the same time periods assuming a linear relationship in those time periods. Estimated absolute weight and calculated differences were subjected to an analysis of variance (ANOVA) using PROC GLM of SAS 9.3 for repeated measurements at four points and three time periods of time with time, feeding regime, niacin, parity and interactions between them as factors. Afterwards an ANOVA with the factors time, adipose tissue depot and the interaction between them was calculated to detect the dynamics between the calculated adipose tissue depots. To examine if the values of NEFA and BHB are related to the adipose tissue parameters a pearsons correlation analysis was accomplished. Feeding did show an effect on the daily mobilization of OMAT of FC. The HCN group had the lowest mobilization in this period. AAT is significantly higher than SCAT at all points of time. Also the absolute mobilization of AAT is higher than SCAT but not the relative. Looking on the subdivisions of AAT in comparison with SCAT, SCAT and OMAT are bigger than MAT and RPAT. No significant distinctions could be detected in the absolute differences. But MAT is mobilizing relatively more in FC than SCAT. The correlation analysis showed dynamics of adipose tissue depots have an impact on NEFA on 35 DIM. NEFA on 35 DIM is negatively correlated with absDpD of AAT in FC. In conclusion we can say that there are differences concerning mobilization of different fat depots in dairy cattle. Adipose tissue in the abdominal region of the cow should be regarded if analyzing body condition and evaluating possible risks for metabolic disorders provoked by enhanced lipomobilization. The presented method provides a possibility to examine dynamic differences in fat depots over certain time periods under experimental conditions." @default.
• W2555755762 created "2016-11-30" @default.
• W2555755762 creator A5048172901 @default.
• W2555755762 date "2015-01-01" @default.
• W2555755762 modified "2023-09-26" @default.
• W2555755762 title "Quantifizierung unterschiedlicher Fettdepots mittels Ultrasonographie und deren Entwicklung in der Transitperiode unter dem Einfluss von Niacin bei Milchkühen" @default.
• W2555755762 cites W1537310687 @default.
• W2555755762 cites W1593579216 @default.
• W2555755762 cites W1965272034 @default.
• W2555755762 cites W1967948641 @default.
• W2555755762 cites W1968179515 @default.
• W2555755762 cites W1968368215 @default.
• W2555755762 cites W1969240042 @default.
• W2555755762 cites W1972418744 @default.
• W2555755762 cites W1973755134 @default.
• W2555755762 cites W1975280853 @default.
• W2555755762 cites W1975953632 @default.
• W2555755762 cites W1977404830 @default.
• W2555755762 cites W1980488458 @default.
• W2555755762 cites W1983831019 @default.
• W2555755762 cites W1987559936 @default.
• W2555755762 cites W1987893244 @default.
• W2555755762 cites W1991334358 @default.
• W2555755762 cites W1993243925 @default.
• W2555755762 cites W1995324236 @default.
• W2555755762 cites W1996786651 @default.
• W2555755762 cites W1996819821 @default.
• W2555755762 cites W1998671825 @default.
• W2555755762 cites W2000719906 @default.
• W2555755762 cites W2002061068 @default.
• W2555755762 cites W2004835244 @default.
• W2555755762 cites W2005016536 @default.
• W2555755762 cites W2005077286 @default.
• W2555755762 cites W2009444069 @default.
• W2555755762 cites W2010412784 @default.
• W2555755762 cites W2010894032 @default.
• W2555755762 cites W2012948481 @default.
• W2555755762 cites W2013047979 @default.
• W2555755762 cites W2017011230 @default.
• W2555755762 cites W2017228002 @default.
• W2555755762 cites W2019006495 @default.
• W2555755762 cites W2023160501 @default.
• W2555755762 cites W2024055184 @default.
• W2555755762 cites W2025416246 @default.
• W2555755762 cites W2026126439 @default.
• W2555755762 cites W2027622737 @default.
• W2555755762 cites W2028142599 @default.
• W2555755762 cites W2029483110 @default.
• W2555755762 cites W2030338717 @default.
• W2555755762 cites W2030925240 @default.
• W2555755762 cites W2033076733 @default.
• W2555755762 cites W2035744817 @default.
• W2555755762 cites W2036160324 @default.
• W2555755762 cites W2036630526 @default.
• W2555755762 cites W2038105646 @default.
• W2555755762 cites W2038246572 @default.
• W2555755762 cites W2040554769 @default.
• W2555755762 cites W2040822208 @default.
• W2555755762 cites W2041466842 @default.
• W2555755762 cites W2042354837 @default.
• W2555755762 cites W2043701337 @default.
• W2555755762 cites W2045701054 @default.
• W2555755762 cites W2046295780 @default.
• W2555755762 cites W2046585833 @default.
• W2555755762 cites W2049651306 @default.
• W2555755762 cites W2050277435 @default.
• W2555755762 cites W2050875594 @default.
• W2555755762 cites W2057226698 @default.
• W2555755762 cites W2057469323 @default.
• W2555755762 cites W2059022408 @default.
• W2555755762 cites W2062149361 @default.
• W2555755762 cites W2066069709 @default.
• W2555755762 cites W2068231407 @default.
• W2555755762 cites W2071816143 @default.
• W2555755762 cites W2074686769 @default.
• W2555755762 cites W2075251005 @default.
• W2555755762 cites W2080565381 @default.
• W2555755762 cites W2081724681 @default.
• W2555755762 cites W2083397802 @default.
• W2555755762 cites W2084479116 @default.
• W2555755762 cites W2087661868 @default.
• W2555755762 cites W2088519406 @default.
• W2555755762 cites W2090645920 @default.
• W2555755762 cites W2091930065 @default.
• W2555755762 cites W2094194525 @default.
• W2555755762 cites W2097757041 @default.
• W2555755762 cites W2098400743 @default.
• W2555755762 cites W2101225272 @default.
• W2555755762 cites W2102224662 @default.
• W2555755762 cites W2105641300 @default.
• W2555755762 cites W2105964251 @default.
• W2555755762 cites W2106690226 @default.
• W2555755762 cites W2109756525 @default.
• W2555755762 cites W2109911892 @default.
• W2555755762 cites W2112135482 @default.
• W2555755762 cites W2121455717 @default.
• W2555755762 cites W2124278070 @default.
• W2555755762 cites W2127187614 @default.
• W2555755762 cites W2128359660 @default.
• W2555755762 cites W2131315622 @default.

• next