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Estimation of serum glucose, cholesterol and uric acid contents and proximate analysis of meat in different strains of chickens
2003
Bhatti, B.M. | Talat, T. | Sardar, R. (Poultry Research Inst., Rawalpindi (Pakistan))
In this study five samples each of serum glucose, serum cholesterol and uric acid contents were measured in Fayoumi, Rhode Island Red, Parent desi, desi Fl and desi F2 strains of chickens. Cholesterol contents were found to be lowest in desi F2 chickens whereas in other strains there was least significant difference, which can be attributed to reduced lipogenic activity in desi F2 generation. When five samples each of meat from two locations i.e. breast and thigh was subjected to proximate analysis it was found that there was no difference (P greater than 0.05) in crude protein, crude fat, total ash and moisture contents regardless of sex and strains. Dry matter contents differed (P less than 0.05) in breast meat and found to be lowest in Parent desi stocks.
Показать больше [+] Меньше [-]Analysis of palm kernel cake by near infrared reflectance technology
2013
Noormah Miwa A. | Shariff S. | Omar R. | Samijah A. | Norlindawati A. P. | Supie J. | Sabariah B. | Jamnah O.
The rapid method for predicting palm kernel cake quality with near infrared reflectance spectroscopy was investigated. Chemical tests for moisture, ash, crude protein, crude fat, crude fibre, total digestible nutrients (TDN), nitrogen free extract (NFE), metabolisable energy (ME), calcium and phosphorous were time
consuming and involve high cost. This technology can save considerable time by testing all the parameters simultaneously;
however accurate calibration of the equipment is essential. Near infrared (NIR) partial least square (PLS) regression models for determination of several palm kernel cake quality parameters were
developed from NIRFlex Model N-500 (Buchi). In general, reliable prediction results were obtained for the TDN (SEP = 0.85 r2 = 0.99), NFE (SEP = 0.42 r2 = 0.97) and crude protein (SEP = 0.57 r2 = 0.98)
PLS regression models.
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