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Mechanism and functions of identified miRNAs in poultry skeletal muscle development

PI3K Phosphoinositide-3-Kinase ANXA2 Annexin A2 TPM3 Tropomyosin 3 EIF2AK3 Eukaryotic Translation Initiation Factor 2 Alpha Kinase 3 Reference Accili, D., Arden, K.C., 2004. FoxOs at the Crossroads of Cellular Review Metabolism, Differentiation, and Transformation. Andreote, A.P.D., Rosario, M.F., Ledur, M.C., Jorge, E.C., Sonstegard, T.S., Matukumalli, L., Coutinho, L.L., 2014. Identification and characterization of microRNAs expressed in chicken skeletal muscle. Genet. Mol. Res. 13, 1465–1479. https://doi.org/10.4238/2014.March.6

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Moulds in biodeterioration of technical materials

-63. Flannigan, B. & Miller, J.D. 1994. Health implications of fungi in indoor. In: Samson R.A., Flannigan B., Flannigan M.E., Verhoeff, A.P., Adan, O.C.G., Hoekstra, E.S. (Eds), Health implication of fungi in indoor environments. Elsevier Science, Amsterdam, pp. 3-28. Florian, M.L. 2004. Fungal Facts, Solving Fungal Problems in Heritage Collections. Archetype Publication Ltd, London. Florian, M.L. & Manning, L. 2000. SEM analysis of irregular fungal fox spots in an 1854 book: population dynamics and species identification. International

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Aeromycology: studies of fungi in aeroplankton

identification. International Biodeterioration and Biodegradation, 46: 205-220. Fojutowski, A. 2003. Aktualne problemy przeciwgrzybowej ochrony drewna. III konferencja Rozkład i Korozja mikrobiologiczna materiałów technicznych, Łódź: 355-366. Foksowicz-Flaczyk, J., Walentowska, J. & Bujnowicz, K. 2012. Odporność kompozytów naturalnych zabezpieczonych cieczą jonową na działanie grzybów pleśniowych. VI konferencja Rozkład i Korozja mikrobiologiczna materiałów technicznych, Łódź: 304-308. Górny, R., Ławniczek-Wałczyk, A., Cyprowski

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Estimation of Genetic Effects Controlling Different Plant Traits in Cotton (Gossypium Hirsutum L.) Under Clcuv Epidemic Condition

References Ahmad, G., S.A. Malik, Z. Mamood, M.Z. Iqbal, S. Ahmad & S. Ahmad (2002). Effect of cotton leaf Curl virus disease on morphology, yield and fibre characteristics of susceptible lines/cultivars of cotton (Gossypium hirsutum L.). Asian. J. Plant Sci., 1:705-707. Ahmad, S., N. Islam, A. Mahmood, F. Ashraf, K. Hayat & M. Hanif (2010). Screening of cotton germplasm against cotton leaf curl virus. Pak. J. Bot., 42:3327-3342. Ahuja, S.L. & L.S. Dhayal (2007). Combining ability estimates for yield and fibre

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Application of remote sensing techniques for the identification of biotic stress in plum trees caused by the Plum pox virus

Abstract

Two hyperspectral remote sensing techniques, spectral reflectance and chlorophyll fluorescence, were used for the identification of biotic stress (sharka disease) in plum trees at an early stage without visible symptoms on the leaves. The research was focused on cultivars that are widely spread in Bulgaria: ‘Angelina’, ‘Black Diamond’ and ‘Mirabelle’. Hyperspectral reflectance and fluorescence data were collected by means of a portable multichannel fibre-optics spectrometer in the visible and near infrared spectral ranges (400-1000 nm). Statistical and deterministic analyses were applied for assessing the significance of the differences between the spectral data of healthy (control) and infected plum leaves. Comparative analyses were performed with complementary serological test DAS-ELISA, broadly implemented in plant virology. The strong relationship that was found between the results from the two remote sensing techniques and serological analysis indicates the applicability of hyperspectral reflectance and fluorescence techniques for conducting health condition assessments of vegetation easily and without damage before the appearance of visible symptoms.

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Stichorchis subtriquetrus in two beavers (Castor fiber) from Slovenia

[1] Bole, J. (1969): Keys for animal determination — IV — Mollusca. Association of Slovenian biologists, Ljubljana [2] Drózdz, J., Demiaszkiewicz, A. W., Lachowicz, J. (2004): Endoparasites of the beaver Castor fiber (L.) in northeast Poland. Helminthologia, 41: 99–101 [3] Eckert, J. (2000): Helminthologische methoden. In Rommel, M., Eckert, J., Kutzer, E., Körting, W., Schnieder, T. (Eds): Veterinärnmedizinische parasitologie. Parey, Berlin [4] Erickson, A. B

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Variations in PH Decline Measured from 45 Min to 48 H Postmortem as Related to Meat Quality of (L × Y) × H Fatteners

.C. (2008). The relation between glycogen, lactate content and muscle fiber type composition, and their influence on postmortem glycolytic rate and pork quality. Meat Sci., 80: 355-362. Darymple R.H., Hamm R. (1973). Amethod for the extraction of glycogen and metabolites from a single muscle sample. J. Food Tech., 8: 439-444. Fernandez X., Lefaucheur L., Candek M. (1995). Comparative study of two classifications of muscle fibres: Consequences for the photometric determination of glycogen according to fibre type in red and white muscle of

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20. The Effect of Muscle Type and Time of Storage on Myofibrillar Protein Proportion in Beef

References Bjarnadottir S.G., Hollung K., Faergestad E.M., Veiseth- Kent E. (2010). Proteome changes in bovine Longissimus thoracis muscle during the first 48hpostmortem: shifts in energy status and myofibrillar stability. J. Agr. Food Chem., 58: 7408-7414. Chang K.C.,da Costa N., Blackley R., Southwood O., Evans G., Plastow G., Wood J.D., Richardson R.I. (2003). Relationships of myosin heavy chain fibre types to meat quality traits in traditional and modern pigs. Meat Sci., 64: 93-103. Chen L., Li X., Ni N

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Postmortem Degradation of Desmin and Dystrophin in Breast Muscles from Capons and Cockerels

caponization and age on the histology, lipid localization, and fiber diameter in muscles from Greenleg Partridge cockerels. Poultry Sci., 96: 1759–1766. Goll D.E., Kleese W.C., Okitani A., Kumamoto T., Cong J., Kapprell H-P. (1990). Historical background and current status of the Ca 2+ -dependent proteinase system. In: Intracellular Calcium-Dependent Proteolysis, Mellgren R.L. Murachi T. (eds). Boca Raton, FL: CRC, pp. 3–24. Huff-Lonergan E., Lonergan S.M. (2005). Mechanisms of water-holding capacity of meat: The role of postmortem biochemical and structural

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Microbial Activity in the Large Intestine of Chicks Fed Diets with Different Types and Levels of Inulin

. Amit-Romach E., Sklan D., Uni Z. (2004). Microflora ecology of the chicken intestine using 16Sribosomal DNAprimers. Poultry Sci., 83: 1093-1098. Apajalahti J., Kettunen A., Graham H. (2004). Characteristics of the gastrointestinal microbial communities, with special reference to the chicken. World Poultry Sci. J., 60: 223-232. Association of Official Analytical Chemists (AOAC). (2000). Methods of Analysis of AOAC International. 17th ed. AOAC, Arlington, VA. Bailey S.R., Marr C.M., Elliott J. (2003). Identification and

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