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Nitrogen Values (nitrogen + value)
Selected AbstractsTHE EFFECTS OF HOT SMOKING ON THE CHEMICAL COMPOSITION AND SHELF LIFE OF MEDITERRANEAN MUSSEL (MYTILUS GALLOPROVINCIALIS L. 1819) UNDER CHILLED STORAGEJOURNAL OF FOOD PROCESSING AND PRESERVATION, Issue 6 2008HÜLYA TURAN ABSTRACT In this study, effects of boiling and hot smoking on proximate composition and shelf life of mussels stored at 4 ± 1C were investigated. Dry matter, crude protein, crude fat and crude ash levels were determined as 13.94, 10.30, 1.14 and 0.95% in fresh mussels 20.75, 13.83, 2.11, 0.77% after boiling and 39.57, 22.22, 10.04%, 6.02% after hot smoking, respectively. Trimethylamine nitrogen values in fresh, boiled and hot smoked mussels were determined as 1.13, 1.01 and 1.07 mg/100 g, respectively, and increased to 24.35 mg/100 g at 18th day of the storage period. pH value in hot smoked mussels ranged between 4.85 and 4.51 during the chilled storage. According to the results, mussels smoked by hot smoking and stored at refrigerator temperature (4 ± 1C) for 12 days can be consumed. PRACTICAL APPLICATIONS In many countries, smoking is used to obtain products that are popular for their texture and flavor. Mussels, scallops and oysters are some of the important mollusk species that are smoked and eaten in different parts of the world. In this research, the effects of hot smoking process (for 30 min at 82C) on proximate composition and shelf life of Mediterranean mussel stored at 4C was investigated. [source] Effect of lucerne preservation method on the feed value of forageJOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, Issue 12 2009Donato Andueza Abstract BACKGROUND: Natural climatic wilt (NCW) and induced industrial wilt (IIW) are widely used as preservation methods for lucerne. Both of these methods reduce the quality of green forage due to respiration under NCW and heat damage under IIW. We compared the influence of these two preservation methods on nutritive value across a wide range of harvest conditions. RESULTS: Cell wall content and cell wall-linked nitrogen values were higher (P < 0.05) in IIW than NCW. The preservation methods differed significantly (P < 0.05) in terms of soluble fraction, insoluble potentially degradable fraction of dry matter and effective degradability of dry matter. Nitrogen disappearance kinetics showed that the interactions of preservation by cut and preservation by phenological state were significant for the effective degradability of nitrogen. Organic matter digestibility was higher in lucerne preserved by NCW than IIW whereas cell wall digestibility was higher in lucerne preserved by IIW than NCW. Digestible organic matter intake did not differ between preservation methods (P > 0.05). CONCLUSION: Natural climatic wilt forage hay presents similar feed value to the induced industrial wilt alfalfa. Copyright © 2009 Society of Chemical Industry [source] Tevaluation of transgenic event CBH 351 (StarLink) corn in pigANIMAL SCIENCE JOURNAL, Issue 1 2010Chisato YONEMOCHI ABSTRACT This study examined the influence of transgenic event CBH (StarLinkÔ; SL)-derived hybrid corn on growth, health and physiological functions of pigs, as well as the possibility of transferring the cry9C gene or Cry9C protein to the blood, liver or muscles, in comparison with pigs fed a diet with non-transgenic (isogenic) corn (non-SL). The diet for the SL group was composed of 70% SL corn, and the diet for the non-SL group was composed of 70% non-SL corn. Forty pigs approximately 3 months in age were used in the current experiment. After the pigs were acclimatized to their environment for 7 days, they were fed piglet diets for 7 weeks, and afterwards fed growing-finishing diets until the end of the experiment. There were no significant differences in bodyweight gain, feed intake or feed conversion ratio between the pigs fed SL diet and those of non-SL diet. No abnormalities were observed in the health conditions of either the SL or the non-SL group. Moreover, no significant differences were observed between the two groups in hematological values, histopathological examination and necropsy findings. Although the serum biochemical values within each group were normal, the blood urea nitrogen values of the SL group showed a tendency to be slightly higher than those of the non-SL group. Also, the blood glucose values of the SL group were significantly lower than those of the non-SL group. However, the cause of the significant differences in the blood glucose values between the two groups is unknown. The PCR and ELISA did not detect the cry9C gene and Cry9C protein in the blood, liver or muscles of the pigs at the end of the experiment. [source] Prediction of herbage yield in grassland: How well do Ellenberg N-values perform?APPLIED VEGETATION SCIENCE, Issue 1 2007Markus Wagner Wisskirchen & Haeupler (1998) Abstract Question: How useful are Ellenberg N-values for predicting the herbage yield of Central European grasslands in comparison to approaches based on ordination scores of plant species composition or on soil parameters? Location: Central Germany (11°00,-11°37'E, 50°21-50°34'N, 500,840 m a.s.l.). Methods: Based on data from a field survey in 2001, the following models were constructed for predicting herbage yield in montane Central European grasslands: (1) Linear regression of mean Ellenberg N-, R- and F-values; (2) Linear regression of ordination scores derived from Non-metric Multidimensional Scaling (NMDS) of vegetation data; and (3) Multiple linear regression (MLR) of soil variables. Models were evaluated by cross-validation and validation with additional data collected in 2002. Results: Best predictions were obtained with models based on species composition. Ellenberg N-values and NMDS scores performed equally well and better than models based on Ellenberg R- or F-values. Predictions based on soil variables were least accurate. When tested with data from 2002, models based on Ellenberg N-values or on NMDS scores accurately predicted productivity rank order of sites, but not the actual herbage yield of particular sites. Conclusions: Mean Ellenberg N-values, which are easy to calculate, are as accurate as ordination scores in predicting herbage yield from plant species composition. In contrast, models based on soil variables may be useful for generating hypotheses about the factors limiting herbage yield, but not for prediction. We support the view that Ellenberg N-values should be called productivity values rather than nitrogen values. [source] | ||||||||||