Boar taint and meat quality characteristics of entire male and castrated male pigs

 

I.G. Penchev

Department of Morphology, Physiology and Nutrition, Faculty of Agriculture, Trakia University, 6000 Stara Zagora, Bulgaria

(Manuscript received 22 February 2019; accepted for publication 25 April 2019)

 

Abstract. The aim of the present research was to study the chemical composition, technological traits and intensity of boar taint of meat in entire male (EM) and surgically castrated male (CM) pigs. The study included 46 male pigs, cross F1 (Landrace x Danube White), fattened to average live weight 90 kg. In terms of chemical composition, the higher water and lipid content of the meat of entire male pigs, compared to the meat of surgically castrated male pigs was not statistically significant. A significant difference in the meat’s technological traits – pH values, water-holding capacity, cooking losses and tenderness between the two groups of male animals ware not found. The influence of the factor “castration” was reported in trait marbling of meat (p<0.001). There were statistically significant differences in the values of L*, b* and Hue angle, defining the color characteristics of the meat.

Change of some chemical properties of alluvial-meadow soil (Mollic fluvisol) after long term fertilization

S. Todorova, N. Simeonova, K. Trendafilov, V. Valcheva

Abstract. In our research we are studying changes of some common chemical properties (pH, salt concentration, total carbonates, and humus content) during long-term organic-mineral fertilization and after its cessation. The object of our study is alluvial-meadow soil (Mollic fluvisol) in the region of Plovdiv (Bulgaria), on which in 1959 was set a trial with different variants of fertilization. Since 2006 the fertilization was stopped. Forty years of fertilization leads to increase in humus content, compared with unfertilized variant, and this is best expressed in variant with combined organic-mineral fertilization. After cessation of fertilization, soil organic matter content decrease in all variants. In other physicochemical parameters of the studied soil, there are no significant changes during the fertilization and after its cessation.

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Estimation of several soil properties by near-infrared reflectance spectroscopy

M.Todorova, S. Atanassova, H. Longer, D. Pavlov

Abstract. There is a great demand for involving rapid, non destructive and less time consuming methods for quick control and prediction of soil quality, environmental monitoring, and other precision measurements in agriculture. Near infrared reflectance spectroscopy(NIRS)is considered as an appropriate alternative method to conventional analytical methods for large scale measurements. The objective of this study was to investigate the possibilities of NIRS for prediction of some chemical properties of soil samples. A total of 97 samples from Stara Zagora, Kazanlak and Gurkovo region taken from the 0-40 cm layer were collected. Soil types were Luvisols, Vertisols, Fluvisols and Rankers. The samples were analyzed for total phosphorus by spectrometric determination of phosphorus soluble in sodium hydrogen carbonate solution, total nitrogen by Kjeldahl method, pH (H O)-potentiometrically and electrical conductivity (EC). 2 The spectral data of all air dried samples were measured using an Perkin Elmer Spectrum One NTS, FT-NIR Spectrometer, within the range from 700 to 2500 nm. Partial Least Squares (PLS) regression was used to built models to determine soil chemical parameters from the NIR spectra. Two-third of the samples were used as a calibration set and the remaining samples as independent validation test set. The best model was obtained for total nitrogen with a coefficient of determination r=0,91, standard error of calibration SEP=336 mg/kg, and the ratio of the standard variation of the reference data to the SEP, indicating the performance of the calibration, of RPD=2,3. The accuracy of prediction was poor for electrical conductivity. The results obtained clearly indicated that NIRS had the potential to predict some soil components rapidly and without sample preparation.

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