• Title/Summary/Keyword: dried rosemary leaves

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Effects of Dietary Rosemary Supplementation on Performance, Microflora Population in the cecum and Noxious Gas Emission from Litter in Broilers (Rosemary의 급여가 육계의 생산성, 맹장내 균총 및 깔짚 중 유해가스 발생량에 미치는 영향)

  • Son, Jang-Ho
    • Korean Journal of Organic Agriculture
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    • v.23 no.2
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    • pp.335-346
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    • 2015
  • The objective of this study was to evaluate the effect of dietary rosemary on performance, microflora population in cecum and noxious gas emission from litter of broiler. A total of 216 broiler chicks at 7 days old were fed the commercial diet (control), added 0.5% level of dried rosemary leaves (5 g/kg diet, T1) and 1.0% level of dried rosemary leaves (10 g/kg diet, T2) for 4 weeks. The body weight gain and feed conversion ratio were improved by feeding rosemary at 7 to 35 days of age (P<0.05), but there was no difference between T1 and T2. Amount of feed intake and mortality were not different among the three group. There was an increase in the microflora population of Lactobacillus (P<0.05) and decreased in E. coli and salmonella (P<0.05) in the cecum contents at 21 and 35 days of age. Emission of ammonia gas from litter was significantly decreased by supplementary rosemary at 21 to 35 days of age (P<0.05), but there was no difference between T1 and T2. These results indicated that feeding 0.5 to 1.0% level of dried rosemary leaves during broiler production improved in the body weight gain and feed conversion ratio because of increasing nutrient digestibility from feed, also increase in intestinal beneficial bacteria and decrease in harmful bacteria in the cecum contents, and decreasing emission of ammonia gas from litter.

POTENTIAL OF NIRS FOR SUPPORTING BREEDING AND CULTIVATION OF MEDICINAL AND SPICE PLANTS

  • Schulz, Hartwig;Steuer, Boris;Kruger, Hans
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1162-1162
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    • 2001
  • Whereas NIR spectroscopy has been applied in agriculture for more than 20 years, few studies refer to those plant substances occurring only in smaller amounts. Nevertheless there is a growing interest today to support efficiently activities in the production of high-quality medicinal and spice plants by this fast and non-invasive method. Therefore, it was the aim of this study to develop new NIR methods for the reliable prediction of secondary metabolites found as valuable substances in various plant species. First, sophisticated NIR methods were established to perform fast quality analyses of intact fennel, caraway and dill fruits deriving from single-plants [1]. Later on, a characterization of several leaf drugs and the corresponding fresh material has been successfully performed. In this context robust calibrations have been developed for dried peppermint, rosemary and sage leaves for the determination of their individual essential oil content and composition [2]. A specially adopted NIR method has been developed also for the analysis of carnosic acid in the leaves of numerous rosemary and sage gene bank accessions. Carnosic acid is an antioxidative substance for which several health promoting properties including cancer preservation are assumed. Also some other calibrations have been developed for non-volatile substances such as aspalathin (in unfermented rooibos leaves), catechins (in green tea) and echinacoside (in different Echinacea species) [3]. Some NIR analyses have also been successfully performed on fresh material, too. In spite of the fact that these measurements showed less accuracy in comparison to dried samples, the calibration equations are precise enough to register the individual plant ontogenesis and genetic background. Based on the information received, the farmers and breeders are able to determine the right harvest time (when the valuable components have reached their optimum profile) and to select high-quality genotypes during breeding experiments, respectively. First promising attempts have also been made to introduce mobile diode array spectrometers to collect the spectral data directly on the field or in the individual natural habitats. Since the development of reliable NIRS methods in this special field of application is very time-consuming and needs continuous maintenance of the calibration equations over a longer period, it is convenient to supply the corresponding calibration data to interested user via NIRS network. The present status of all activities, preformed in this context during the last three years, will be presented in detail.

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