Search Results

1 - 10 of 35 items :

  • fiber identification x
  • Plant Science x
Clear All
Electronic feeding behavioural data as indicators of health status in dairy calves

duration of visits to the MR feeder and decreased their milk consumption when sick, while calves on lower allowances decreased the duration of their visits at the MR feeder when sick ( Borderas et al ., 2009 ). Therefore, changes in net energy (Unité Fourragère Lait (UFL)) consumption, MR consumption, concentrate consumption, number of visits to the feeder and drinking speed may be related to the incidence of disease. Consequently, data from electronic calf feeders have the potential to highlight sick calves that require treatment. Through early identification of sick

Open access
The eating quality of beef from young dairy bulls derived from two breed types at three ages from two different production systems

the muscle fibres. When the cores reached room temperature (approximately 20°C), they were sheared perpendicular to the muscle fibre orientation using the Warner-Bratzler (WB) shear blade attached to an Instron universal testing machine [Model 5543, Instron (UK) Ltd., High Wycombe, Buckinghamshire, UK] with a 500 N load cell using a cross-head speed of 50 mm/min. The average maximum shear force (WBSF) was calculated by excluding the two extreme values. WB slope was recorded from a line drawn from 20% to 80% of the WBSF curve and expressed as megapascals (Mpa), and

Open access
Insect assemblages and their preference for Lupinus albus and L. luteus

% alcohol for identification. Species identification of thrips was made using the following: an insect collection provided by Prof. Kiran Donchev; bug species collection provided by Nikolay Simov (Ph.D.); Coleoptera species collection provided by Assoc. Prof. Rumyana Koleva; Diptera collection provided by Prof. Venelin Beshovski; Cicadelidae collection provided by Assoc. Prof. Venelin Pelov. The classification of insect species was made as follows: * – dominant species with 15% representation; ** – sub-dominant (from 5% to 15%); *** – secondary (1

Open access
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

Open access
Chemical composition and fiber properties of fast-growing species in Latvia and its potential for forest bioindustry

References Abolina, E., Volk, T.A., Lazdina, D. 2015. GIS based agricultural land availability assessment for the establishment of short rotation woody crops in Latvia. – Biomass and Bioenergy, 72, 263–272. Ai, J., Tschirner, U. 2010. Fiber length and pulping characteristics of switchgrass, alfalfa stems, hybrid poplar and willow biomasses. – Bioresource Technology, 101(1), 215–221. Bārdule, A., Lazdiņa, D., Bārdulis, A., Lazdiņš, A., Vīksna A. 2012. Utilization of wood ash, sewage sludge and digestate in short rotation bioenergy plantation in

Open access
Physiological Properties of Dietary Ellagitannin-Rich Preparations Obtained from Strawberry Pomace Using Different Extraction Methods

-220. 11. Cerdá B., Tomás-Barberán F.A., Espín J.C., Metabolism of antioxidant and chemopreventive ellagitannins from strawberries. Raspberries, walnuts and oak-aged wine in humans: identification of biomarkers and individual variability. J. Agric. Food Chem., 2005, 53, 227-235. 12. Da Silva Pinto M., Lajolo M.F., Genovese M.I., Bioactive compounds and quantification of total ellagic acid in strawberries (Fragaria x ananassa Duch.). Food Chem., 2008, 107, 1629- -1635. 13. Espin J.C., Gonzalez-Barrio R., Cerda B., Lopez-Bote C., Rey, A

Open access
Characterization and mapping of QTL used in breeding of Scots pine (Pinus sylvestris L.)

.A., Neale D.B. 2003. Identification of quantitative trait loci influencing wood property traits in loblolly pine (Pinus taeda L.). III. QTL Verification and candidate gene mapping. Genetics, 164 (4), 1537-1546. Cato S.A., Corbett G.E., Richardson T.E. 1999. Evaluation of AFLP for genetic mapping in Pinus radiata D. Don. Molecular Breeding, 5, 275-281. Cervera M.T., Remington, D., Frigerio J.M., Storme V., Ivens B., Boerjan,W., Plomion C. 2000. Imprved AFLP analysis of tree species. Canadian Journal of Forest Research, 30 (10), 1608

Open access
Distribution of (1,3)(1,4)-β-D-Glucans in Grains of Polish Oat Cultivars and Lines (Avena sativa L.) – Short Report

molecular weight β-glucan do not differ in their effects on blood concentrations of lipids, insulin, or glucose in humans. J. Nutr., 2004, 134, 1384–1388. 11. Fulcher R.G., Miller S.S., Structure of oat bran and distribution of dietary fiber components. 1993, In : Oat Bran (ed. P.J. Wood.). AACC Inc., St. Paul, Minnesota, USA, pp. 1–24. 12. Gajdošová A., Petruláková Z., Havrlentová M., Červená V., Hozová B., Šturdík E., Kogan G., The content of water-soluble and water-insoluble β-D-glucans in selected oats and barley varieties. Carboh. Polym., 2007, 70, 46

Open access
Genotyping of Flax Genetic Resources by Mirna-Based Molecular Markers and Morphology

References BARVKAR, V.T. - PARDESHI, V.C. - KALE, S. M. - QIU, S. - ROLLINS, M. - DATLA, R. - KADOO, N.Y. 2013. Genome-wide identification and characterization of microRNA genes and their targets in flax (Linum usitatissimum): Characterization of flax miRNA genes. In Planta, vol. 237, pp. 1149-1161. DOI: 10.1007/ s00425-012-1833-5. BEJ, S. - BASAK, J. 2014. MicroRNAs: The Potential Biomarkers in Plant Stress Response. In American Journal of Plant Sciences, vol. 5, pp. 748-759. http://dx.doi.org/10.4236/ajps.2014

Open access
Trends in Edible Vegetable Oils Analysis. Part B. Application of Different Analytical Techniques

and traceability of virgin olive oil by calorimetry. J. Therm. Anal. Calorim., 2006, 84, 105-112. Armenta S., Garrigues S., de la Guardia M., Determination of edible oil parameters by near infrared spectrometry. Anal. Chim. Acta, 2007, 596, 330-337. Arthur C., Pawliszyn J. Solid-phase microextraction with thermal desorption using fused silica optical fibers. Anal. Chem., 1990, 62, 2145-2148. Baeten V., Pierna J. A. F., Dardenne P., Meurens M., Garcia-Gonzalez D. L., Aparicio-Ruiz R

Open access