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Cortisol and Estradiol Profile in Cross-bred Ettawa Does: The Effects of Body Condition Scoring (BCS). Puji Astuti; D. Tri Widayati; S. Sunendar; K. Suharto; Asmarani Kusumawati; A. Junaidi
Indonesian Journal of Biotechnology Vol 13, No 1 (2008)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.465 KB) | DOI: 10.22146/ijbiotech.7793

Abstract

Body Condition Scoring (BCS) is an estimation of the muscle and fat development of an animal. Thin ewes that are fighting to maintain their own body weight and low concentration of cortisol are not able to ovulate as ewes in a more desirable condition due to lack of oestradiol concentration. The aims of this research are to monitor the cortisol and oestradiol profile in Cross-bred ettawa does and to determine effect of BCS on the cortisol and oestradiol profile. Eight does were used in this research. These animals were devided equally into 2 groups based on Body Condition Scoring (BCS), namely BCS 2, which body weight range between 25-30 kgs as group I ( >n=4 ) and BCS 3 which consists of ettawa with body weight range between 33-40 kg as group II ( n=4 ). All animals were synchronized using implant of CIDR and PGF2alpha. Blood from jugular vein were collected every 3 and 6 hours as soon as oestrus until 72 hours. Serum contained cortisol and oestradiol then assayed using ELISA</div><div>method. Cortisol and oestradiol concentrations were compared between groups by T test. The results showed that average concentration of cortisol is 47.17 &plusmn; 42.19 ng/mL for BCS 2 and 112.40&plusmn;74.41ng/mL for BCS 3 (P<0.05), whereas concentration of oestradiol is 72.25&plusmn;30.62 pg/mL for BCS 2 and 145.72&plusmn;100.18 pg/mL for BCS 3 (P<0.05).  Either cortisol or oestradiol have very synchronized wave except 2 of animals from BCS 2 (50%), which has tendency to suppress each other. It was concluded that profile of cortisol and oestradiol hormone have a very similar pattern, and BCS can affect hormone profile.
Linear reservoir-based adaptive land subsidence model: Case of Sumatra peat lowland forests Nurhamidah .; A. Junaidi
Lowland Technology International Vol 18 No 3, Dec (2016)
Publisher : International Association of Lowland Technology

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Abstract

Any model of flood hazard assessment must account for the dynamic nature of floodplains related to the current states of topography. This article proposes a model of the spatialtemporal variability of land subsidence for predicting the land subsidence prone areas based on the concept of linear reservoir. The model is formulated based on analysis on data gathered from Hobo loggers plated along Sumatra deltas. It includes the soil characteristics, the differences in soil temperatures and the change of the groundwater level to factors that cause the land subsidence and effects of the subsidence on the floodplain facies. The validation of this model showed that the spatial-temporal variability of future land subsidence could be quantified, the future inundation depth of floodplains could be predicted, and the model could be applied on any peat land area with potential land subsidence problem.