Blog List

Wednesday, 15 June 2016

Comparative evaluation of maize inbred lines (zea mays l.) according to dus testing using morphological, physiological and molecular markers

Download Download as PDF (Size:967KB)  HTML    PP. 131-142  
DOI: 10.4236/as.2010.13016


A major challenge facing those involved in the testing of new plant varieties for Distinctness, Uniformity and Stability (DUS) is the need to compare them against all those of 'common knowledge'. A set of maize inbred lines was used to compare how morphological, physiological characterization and RAPD molecular marker described variety relationships. All the inbred lines were confirmed as morphologically and physiologically distinct. At morphological level the maximum genetic distance (10.8) and least genetic distance (1.6) were found. For physiological characters distance varied from 0.35 to 1.92 and results from dendrogram, which was made on the basis of dissimilarity matrix, were grouped into five major clusters. From RAPD, random primers provide polymorphic amplification products; the distance varying 0.42 to 0.65 and dendrogram showed that these lines formed close clusters due to the less variation in these lines at molecular level. In the present study, the molecular markers also exposed useful genetic diversity and the visual displays appeared to disperse the lines somewhat more evenly over the plot than the morphological and physiological methods.


[1](2008) FAOSTAT, Food and Agricultural Organization, Rome.
[2]Anderson, E. and Brown, W.L. (1952) Origin of corn belt maize and its genetic significance, In: Heterosis - A Record of Researches Directed toward Explaining and Utilizing the Vigor of Hybrids, Gowen, J.W., Ed., Iowa State College Press, Ames, 124-148.
[3]Troyer, A.F. (2001) Temperate corn. In: Hallauer, A., Ed., Specially Corns, CRC Press, Boca Raton.
[4]Henry, A. and Damerval, C. (1997) High rates of ploymorphism and recombination at the Opaque-2 locus in cultivated maize. Molecular and General Genetics, 256, 147-157.
[5]Ching, A., Caldwell, K.S., Jung, M., Dolan, M. and Smith, O.S. (2002) SNP frequency, haplotype structure and linkage disequilibrium in elite maize inbred lines. BMC Genet, 3(19), 1-14.
[6]Bretting, P.K. and Widrlechner, M.P. (1995) Genetic markers and plant genetic resource management. Plant Breeding Reviews, 13, 11-86.
[7]Hamrick, J.L. and Godt, M.J.W. (1989) Allozyme diversity in plant species. In: Brown, A.H.D., Clegg, M.T., Kahler, A.L. and Weir, B.S., Eds., Plant Population Genetics, Breeding, and Genetic Resources, Sinouer Association, Sunderland, 43-63.
[8]UPOV (1979) Revised general introduction to the guidelines for the conduct of tests for distinctness, homogeneity and stability of new varieties of plants. UPOV TG/1/2, 11.
[9]UPOV (1980) Guidelines for the conduct of tests for distinctness, homogeneity and stability – maize (Zea mays L.). UPOV TG/2/4, 14.
[10]UPOV (1991) UPOV Publication No. 221(E) of 1992 on international convention for the protection of new varieties of plants of December 23, 1978; and on March 19, 1991. 31.
[11]UPOV (1994a) Guidelines for the conduct of tests for distinctness, homogeneity and stability-maize (Zea mays L.). UPOV TG/2/6, 63.
[12]Sujay, R. and Singh, N.N. (2001) Guidelines for conduct of test for distinctness, uniformity and stability in maize (Zea mays L.). Directorate of maize Research, New Delhi.
[13](2001) The applied biotechnology center’s manual of laboratory protocols. CIMMYT, Mexico.
[14]Jaccard, P. (1908) Nouvelles researches sur la distribution florale. Bulletin de la Société vaudoise des sciences naturelles, 44, 223-270.
[15]Rohlf, F.J. (1992) NTSYS-pc Numerical taxonomy and multivariate analysis system. Exeter Software, New York.
[16]Warburton, M.L., Xianchun, X., Crossa, J., Franco, J., Melchinger, A.E., Frisch, M., Bohn, B. and Hoistington, D. (2002) Genetic characterization of CIMMYT inbred maize lines and open pollinated populations using large scale fingerprinting methods. Crop Science, 42, 1832- 1840.
[17]Mishra, J.P. (1999) Biotechnology and Intellectual Property Rights. Yojana, May, 15-20.
[18]Hallauer, A.R., Russel, W.A. and Lamkey, K.R. (1988) Corn breeding. In: Sprague, G.F. and Dudley, J.W., Eds., Corn and Corn Improvement, 3rd Edition, Agronomy Monograph, 18, ASA, CSSA and SSSA, Madison, 463- 564.
[19]Yuan, L., Zhang, S., Warburton, M., Li, X., Fu, J. and Li, M. (2002) Assessment of genetic similarities among maize inbred lines using SSR markers. In: Proceedings of the Eighth Asian Regional Maize Workshop, Bangkok, 50-58.
[20]Melchinger, A.E. (1999) Genetic diversity and heterosis. In: Coors, J.G. and Pandey, S., Eds., Proceedings of the International Symposium on Genetics and Exploitation of Heterosis in Crops, CIMMYT, Mexico, 17-22 August 1997, 3-48.
[21]Ben-Har, A., Charcoset, A., Bourgoin, M. and Guiard, J. (1995) Relationships between genetic markers and morphological traits in a maize inbred lines collection. Euphytica, 84, 145-154.
[22]Burstin, J. and Charcosset, A. (1997) Relationship between phenotypic and markers distance: Theoretical and experimental investigations. Heredity, 78, 477-483.
[23]Senior, M.L., Murphy, J.P., Goodman, M.M. and Stuber, C.W. (1998) Utility of SSRs for determining genetic similarities and relationship in maize using and Aqarose gel system. Crop Science, 38, 1088-1098.
[24]Smith, J.S.C., Chin, E.C.L., Shu, H., Smith, O.S., Wall, S. J., Senior, M.L., Mitchell, S.E. Kresobitch, S. and Ziegle, J. (1997) An evaluation of the utility of SSR loci as molecular markers in maize (Zea mays L): Comparisons with data from RFLPs and Pedigree. Theoretical and Applied Genetics, 95, 163-173.
[25]Messmer, M.M., Melchinger, A.E. and Boppenmaier, E. (1992) Relationship among European maize inbreds: I. Genetic diversity among flint and dent lines revealed by RFLPs. Crop Science, 32, 1301-1309.
[26]Messmer, M.M., Melchinger, A.E., Boppenmaier, J., Brunklaus-Jung, E. and Herrmann, R.G. (1992) Relationship among early European maize inbreds: I. Genetic diversity among flint and dent lines revealed by RFLPs. Crop Science, 32, 1301-1309.
[27]Dubreuil, P., Dufour, P., Drejci, E., Causse, M.M., de Vienne, D. Gallais, A. and Char Cosset, A. (1996) Organization of RFLP diversity among inbred lines of maize representing the most significant heterotic groups. Crop Science, 36, 790-799.


For further details log on website :
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=3105

Foliar Nutrient Balance Standards for Maize (Zea mays L.) at High-Yield Level

DOI: 10.4236/ajps.2014.54064
Author(s)    
Viviane Cristina Modesto, Serge-Étienne Parent, William Natale, Léon Etienne Parent
Affiliation(s)

Departamento de Solos e Adubos, Unesp, Universidade Estadual Paulista, Jabotocabal, Brazil.
ERSAM, Department of Soils and Agrifood Engi-neering, Université Laval, Québec, Canada.
Departamento de Solos e Adubos, Unesp, Universidade Estadual Paulista, Jabotocabal, Brazil.
ABSTRACT

Maize is one of the most nutrient demanding staple crops. Tissue nutrient diagnosis of maize is currently conducted using critical nutrient concentration or dual ratio ranges, but such diagnoses are pathological as biased by data redundancy, sub-compositional incoherence and non-normal distribution. The use of orthogonal balances, a compositional data analysis technique, avoids such biases. Our objective was to develop foliar nutrient balance standards for maize. We collected 758 grain yields (15.5% moisture content) and foliar samples at silk stage in maize fields of southern Quebec, Canada, and analyzed ten nutrients in tissues (N, P, K, Ca, Mg, B, Cu, Zn, Mn, Fe). Nutrients were arranged into ad hoc balances and computed as isometric log ratios (ilr). An optimized binary classification performed by a customized receiver operating characteristic procedure showed that a critical Mahalanobis distance of 4.21 separated balanced from imbalanced specimens about yield cut-off of 11.83 Mg grain·ha-1 with test performance of 86%. Quebec maize balance standards differed from published standards computed from DRIS norms collected in other agroecosystems. The Redfield N/P ratio in maize leaves was found to be the least variable balance across regions of the world. The DRIS dual ratios and raw concentration values were found to be geometrically inadequate for conducting diagnosis. The unbiased nutrient balance diagnosis combined the critical Mahalanobis distance and a mobile representation of nutrient balances with ilr means of true negative (TN) specimens centered at fulcrums and back-transformed ilr values of TN specimens into raw concentrations loading the buckets below. Nutrients can be appreciated as relative shortage, adequacy or excess in the concentration domain following statistical analysis and diagnosis in the unbiased balance domain.


References

[1]J. B. Jones Jr., B. Wolf and H. A. Mills, “Plant Analysis Handbook: A Practical Sampling, Preparation, Analysis, and Interpretation Guide, Micro Macro Intl.,” Athens, 1991.
[2]E. Malavolta, “Manual de Nutrição de Plantas,” Editora Agronomica Ceres, São Paulo, 2006, p. 638.
[3]S. R. Wilkinson, “Nutrient Interactions in Soil and Plant Nutrition,” In: M. E. Sumner, Ed., Handbook of Soil Science, CRC Press, Boca Raton, 2000, pp. D89-D112.
[4]J. L. Walworth and M. E. Sumner, “The Diagnosis and Recommendation Integrated System (DRIS),” Advances in Soil Science, Vol. 6, 1987, pp. 149-188.
http://dx.doi.org/10.1007/978-1-4612-4682-4_4
[5]J. Aitchison and M. Greenacre, “Biplots of Compositional Data,” Journal of the Royal Statistical Society Series C Applied Statistics, Vol. 51, No. 4, 2002, pp. 375-392.
http://dx.doi.org/10.1111/1467-9876.00275
[6]S.-é. Parent, L. E. Parent, D. E. Rozane, A. Hernandes and W. Natale, “Nutrient Balance as Paradigm of Soil and Plant Chemometrics,” In: R. N. Issaka, Ed., Soil Fertility, Intech, 2012, pp. 83-114. http://dx.doi.org/10.5772/53343
[7]P. G. S. Wadt and D. J. Silva, “Acurácia Do Diagnóstico Nutricional de Pomares de Mangueiras Obtido Por Três Fórmulas DRIS,” Pesquisa Agropecuária Brasileira, Vol. 45, No. 10, 2010, pp. 1180-1188.
http://dx.doi.org/10.1590/S0100-204X2010001000018
[8]S.-é. Parent, L. E. Parent, D. E. Rozane and W. Natale, “Nutrient Balance Ionomics: Case Study with Mango (Mangifera indica),” Frontiers in Plant Science, Vol. 4, 2013, Article 449.
[9]S.-é. Parent, L. E. Parent, J. J. Egozcue, D. E. Rozane, A. Hernandes, L. Lapointe, V. Hébert-Gentile, et al., “The Plant Ionome Revisited by the Nutrient Balance Concept,” Frontiers in Plant Science, Vol. 4, No. 39, 2013, pp. 1-10.
[10]G. G. C. Da Silva, J. C. L. Neves, V. H. Alvarez and F. P. Leite, “Nutritional Diagnosis for Eucalypt by DRIS, MDRIS, and CND,” Scientia Agricola, Vol. 61, No. 5, 2004, pp. 507-515.
http://dx.doi.org/10.1590/S0103-90162004000500008
[11]F. R. Blanco-Macías, R. D. Magallanes-Quintanar, R. Valdez-Cepeda, E. Vázquez-Alvarado, E. Olivares-Sáenz, E. Gutiérrez-Ornelas and J. A. Vidales-Contreras, “Comparison between CND Norms and Boundary-Line Approach Nutrient Standards: Opuntia Ficus-Indica L. Case. R. Chapingo,” Serie Horticultura, Vol. 15, No. 2, 2009, pp. 217-223.
[12]H. Huang, C. X. Hu, Q. Tan, X. Hu, X. Sun and L. Bi, “Effects of Fe-EDDHA Application on Iron Chlorosis of Citrus Trees and Comparison of Evaluations on Nutrient balance with Three Approaches,” Scientia Horticulturae, Vol. 146, 2012, pp. 137-142.
http://dx.doi.org/10.1016/j.scienta.2012.08.015
[13]L. W. I. Wairegi and P. J. A. Van Asten, “Norms for Multivariate Diagnosis of Nutrient Imbalance in Arabica and Rosusta Coffee in the East African Highlands,” Experimental Agriculture, Vol. 48, No. 3, 2012, pp. 448-460. http://dx.doi.org/10.1017/S0014479712000142
[14]P. Marschner, “Marschner’s Mineral Nutrition of Higher Plants,” 3rd Edition, Academic Press, London, 2011.
[15]J. Aitchison, “The Statistical Analysis of Compositional Data, Monographs on Statistics and Applied Probability,” Chapman & Hall Ltd., London, 1986.
http://dx.doi.org/10.1007/978-94-009-4109-0
[16]J. Bacon-Shone, “A Short History of Compositional Data Analysis,” In: V. Pawlowsky-Glahn and A. Buccianti, Eds., Compositional Data Analysis: Theory and Applications, John Wiley and Sons, New York, 2011, pp. 3-11.
http://dx.doi.org/10.1002/9781119976462.ch1
[17]J. J. Egozcue, V. Pawlowsky-Glahn, G. Mateu-Figueras and C. Barceló-Vidal, “Isometric Logratio Transformations for Compositional Data Analysis,” Mathematical Geology, Vol. 35, No. 3, 2003, pp. 279-300.
http://dx.doi.org/10.1023/A:1023818214614
[18]L. E. Parent and M. Dafir, “A Theoretical Concept of Compositional Nutrient Diagnosis,” Journal of the American Society for Horticultural Science, Vol. 117, No. 2, 1992, pp. 239-242.
[19]L. E. Parent, “Diagnosis of the Nutrient Compositional Space of Fruit Crops,” Revista Brasileira de Fruticultura, Vol. 33, No. 1, 2011, pp. 321-334.
http://dx.doi.org/10.1590/S0100-29452011000100041
[20]P. Filzmoser, K. Hron and C. Reimann, “Univariate Statistical Analysis of Environmental (Compositional) Data: Problems and Possibilities,” Science of Total Environment, Vol. 407, No. 23, 2009, pp. 6100-6108.
http://dx.doi.org/10.1016/j.scitotenv.2009.08.008
[21]L. E. Parent, S.-é. Parent, V. Hébert-Gentile, K. Naess and L. Lapointe, “Mineral Balance Plasticity of Cloudberry (Rubus Chamaemorus) in Quebec-Labrador,” American Journal of Plant Science, Vol. 4, No. 7, 2013, pp. 1508-1520.
[22]L. E. Parent, S.-é. Parent, D. E. Rozane, D. A. Amorim, A. Hernandes and W. Natale, “Unbiased Approach to Diagnose the Nutrient Status of Guava,” Proceedings of the 3rd International Symposium on Guava and Other Myrtaceae, Acta Horticulturae, Vol. 959, 2012, pp. 145-159.
[23]J. J. Egozcue and V. Pawlowsky-Glahn, “Groups of Parts and Their Balances in Compositional Data Analysis,” Mathematical Geology, Vol. 37, No. 7, 2005, pp. 795-828. http://dx.doi.org/10.1007/s11004-005-7381-9
[24]V. Pawlowsky-Glahn, J. J. Egozcue and R. Tolosana-Delgado, “Principal Balances,” In: 4th International Workshop on Compositional Data Analysis (Codawork 2011), San Feliu de Guixols, Spain, 2011.
[25]G. De Rijk and E. Schrevens, “Distribution of Nutrients and Water in Rockwool Slabs,” Scientia Horticulturae, Vol. 72, No. 3-4, 1998, pp. 277-285.
http://dx.doi.org/10.1016/S0304-4238(97)00144-1
[26]I. Loladze and J. J. Elser, “The Origins of the Redfield Nitrogen-to-Phosphorus Ratio Are in a Homoeostatic Protein-to-rRNA Ratio,” Ecology Letters, Vol. 14, No. 3, 2011, pp. 244-250.
http://dx.doi.org/10.1111/j.1461-0248.2010.01577.x
[27]J. B. Jones Jr. and V. W. Case, “Sampling, Handling, and Analyzing Plant Tissue Samples,” In: R. L. Westerman, Ed., Soil Testing and Plant Analysis, Book Series 3, Soil Science Society of America, Madison, 1990, pp. 389-427.
[28]R Development Core Team, “R: A Language and Environment for Statistical Computing,” R. T. D. Core, Ed., R Foundation for Statistical Computing, Vienna, 2013.
[29]K. G. van den Boogaart, R. Tolosana-Delgado and M. Bren, “‘Compositions’: Compositional Data Analysis in R Package,” 2013.
http://cran.rproject.org/package=compositions
[30]P. Filzmoser and M. Gschwandtner, “‘Mvoutlier’: Multivariate Outlier Detection Based on Robust Methods,” CRAN Repository, Vienna, 2013.
[31]J. Daunis-i-Estadella, C. Barceló-Vidal, C. and A. Buccianti, “Exploratory Compositional Data Analysis,” In: A. Buccianti, G. Mateu-Figueras and V. Pawlowsky-Glahn, Eds., Compositional Data Analysis in the Geosciences: From Theory to Practice, Geological Society, London, Special Publications 264, 2001, pp. 161-174.
[32]Z. Prekopcsák and L. Lemire, “Time Series Classification by Class-Specific Mahalanobis Distance Measures. Learning,” Advances in Data Analysis and Classification, Vol. 6, No. 3, 2012, pp. 185-200.
http://dx.doi.org/10.1007/s11634-012-0110-6
[33]J. A. Swets, “Measuring the Accuracy of Diagnostic Systems,” Science, Vol. 240, No. 4857, 1988, pp. 1285-1293.
http://dx.doi.org/10.1126/science.3287615
[34]W. J. Youden, “Index for Rating Diagnostic Tests,” Cancer, Vol. 3, No. 1, 1950, pp. 32-35.
http://dx.doi.org/10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3
[35]M. E. Sumner, “Effect of Corn Leaf Sampled on N, P, K, Ca and Mg Content and Calculated DRIS Indices,” Communications in Soil Science and Plant Analysis, Vol. 8, No. 3, 1977, pp. 269-280.
http://dx.doi.org/10.1080/00103627709366719
[36]A. M. O. Elwali, G. J. Gascho and M. E. Sumner, “DRIS Norms for 11 Nutrients in Corn Leaves,” Agronomy Journal, Vol. 77, No. 3, 1985, pp. 506-508.
http://dx.doi.org/10.2134/agronj1985.00021962007700030032x
[37]T. D. Needham, J. A. Burger and R. G. Oderwald, “Relationship between Diagnosis and Recommendation Integrated System (DRIS) Optima and Foliar Nutrient Critical Levels,” Soil Science Society of America Journal, Vol. 54, No. 3, 1990, pp. 883-886.
http://dx.doi.org/10.2136/sssaj1990.03615995005400030045x
[38]P. N. Soltanpour, M. J. Malakouti and A. Ronaghi, “Comparison of Diagnosis and Recommendation Integrated System and Nutrient Sufficiency Range for Corn,” Soil Science Society of America Journal, Vol. 59, No. 1, 1995, pp. 133-139.
http://dx.doi.org/10.2136/sssaj1995.03615995005900010021x
[39]K. Singh, H. S. Hundal and D. Singh, “Monitoring Nutrient Status for Maize in Northwestern India through Diagnosis and Recommendation Integrated System Approach,” Communications in Soil Science and Plant Analysis, Vol. 43, No. 22, 2012, pp. 2915-2923.
http://dx.doi.org/10.1080/00103624.2012.728267
[40]A. C. D. Rocha, W. M. Leandro, A. O. Rocha, J. D. G. Santana and J. W. D. S. Andrade, “DRIS Norms for Corn Planted in Reduced Row Spacing in Hidrolandia, State of Goias, Brazil,” Bioscience Journal, Vol. 23, No. 4, 2007, pp. 50-60.
[41]G. D. Dagbenonbakin, A. K. Srivastava, T. Gaiser and H. Glodbach, “Maize Nutrient Assessment in Benin Republic: Case of Upper Ouémé Catchment,” Journal of Plant Nutrition, Vol. 36, No. 4, 2013, pp. 587-606.
http://dx.doi.org/10.1080/01904167.2012.754031
[42]S. T. Dara, P. E. Fixen and R. H. Gerlderman, “Sufficiency Level and Diagnosis and Recommendation Integrated System Approaches for Evaluating the Nitrogen Status of Corn,” Agronomy Journal, Vol. 84, No. 6, 1992, pp. 1006-1010.
http://dx.doi.org/10.2134/agronj1992.00021962008400060020x
[43]C. R. Escano, C. A. Jones and G. Uehara, “Nutrient Diagnosis in Corn Grown on Hydric Dystradepts: II. Comparison of Two Systems of Tissue Diagnosis,” Soil Science Society of America Journal, Vol. 45, No. 6, 1981, pp. 1140-1144.
http://dx.doi.org/10.2136/sssaj1981.03615995004500060026x
[44]H. Delacour, A. Servonnet, A. Perrot, J. F. Virgezzi and J. M. Ramirez, “La Courbe ROC (Receiver Operating Characteristic): Principes et Principales Applications en Biologie Clinique,” Annales de Biologie Clinique, Vol. 63, No. 2, 2005, pp. 145-154.
[45]R. Beverly, “Comparison of DRIS and Alternative Diagnostic Methods for Soybean,” Journal of Plant Nutrition, Vol. 1, No. 8, 1987, pp. 901-920.
http://dx.doi.org/10.1080/01904168709363619
[46]L. E. Parent, W. Natale and N. Ziadi, “Compositional Nutrient Diagnosis of Corn Using the Mahalanobis Distance as Nutrient Imbalance Index,” Canadian Journal of Soil Science, Vol. 89, No. 4, 2009, pp. 383-390.
http://dx.doi.org/10.4141/cjss08050
[47]S. Güsewwell, “N:P Ratios in Terrestrial Plants: Variation and Functional Significance,” New Phytologist, Vol. 164, No. 2, 2004, pp. 243-266.
http://dx.doi.org/10.1111/j.1469-8137.2004.01192.x
[48]C. Bould, “Leaf Analysis as a Diagnostic Method and Advisory Aid in Crop Production,” Experimental Agriculture, Vol. 4, No. 1, 1968, pp. 17-27.
http://dx.doi.org/10.1017/S0014479700022316




For further details log on website :
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=43264

The Wood-destroying Fungi In Buildings In Estonia

Paper DOI
10.2495/STR090221
Volume
109
Pages
9
Published
2009
Size
371 kb
Author(s)
K. Pilt, J. Oja & K. Pau

Abstract

From 2002 until the end of 2008, 633 private and public buildings damaged by wood-destroying fungi were inspected in Estonia. Most of the inspections have been carried out in Tallinn – 101 (16%) and Tartu – 89 (14%), and also in the counties around these cities – Harju and Tartu Counties. The analysis revealed that the true dry rot fungus, Serpula lacrymans, was the most common fungus (79%) in buildings all over Estonia. The next most frequent fungi were Coniophora puteana (7%) and different species of the family Corticiaceae (4%). The Estonian data were compared to the results of Finnish, Latvian and Norwegian studies. Occurrences of wood-destroying fungi correlated with the monthly mean temperatures while there was no correlation with mean relative humidity. Keywords: cultural heritage, dry rot, wood-destroying fungi, Serpula lacrymans, Coniophora puteana.

For further details log on website :
http://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/109/20471

Leaching From New Generation Treated Wood: A Chemical Approach

Paper DOI
10.2495/EID120461
Volume
162
Pages
12
Published
2012
Size
2,703 kb
Author(s)
M. O. Lupsea, H. Mathies, U. Schoknecht, L. Tiruta-Barna & N. Schiopu

Abstract

Leaching of biocides from construction products is currently a research topic receiving attention from the European regulation authorities (CEN/TC 351). In this paper we have focused on the leaching behaviour of CBA (copper-borateazoles) treated Pinus sylvestris. To better define the chemistry of the leaching phenomena, two leaching tests (a static equilibrium test and a dynamic surface leaching test) have been carried out on untreated and treated wood, which offered more information about how the leaching of biocides interferes with other substances released from the wood structure. Eluates, in liquid and lyophilised form, were further analyzed by analytical methods. Organic (tebuconazole) and inorganic (Cu, B) biocides were quantified and several organic compounds have been identified (e.g. carboxylic acids, phenols, amines, etc.). Also, the total amount of phenols and of carboxylic groups was determined. Results on inorganic compounds are in accordance with previous studies made on treated wood. Furthermore, organic carbon, tebuconazole and other organic compounds’ behaviour was extensively investigated. This study aims to complete existing leaching data and to help developing a chemical model for several biocides in wood, including Cu, B and tebuconazole. Keywords: leaching, CBA treated wood, biocide, organic compounds.


For further details log on website :
http://www.witpress.com/elibrary/wit-transactions-on-ecology-and-the-environment/162/23670

Industrial Wood Residuals: Experimental Property Characterization And Lab-scale Burning Tests

Paper DOI
10.2495/WM080651
Volume
109
Pages
12
Published
2008
Size
1,338 kb
Author(s)
F. Tatàno, L. Barbadoro, S. Pretelli, L. Tombari & F. Mangani

Abstract

Referring to the industrial wood waste category (as relevant in the provincial furniture district of Pesaro-Urbino, Italy), this paper deals with the experimental characterization and the carrying out of lab-scale non-controlled burning tests for selected \“raw” and primarily \“engineered” wood residuals. The property characterization has primarily revealed the following aspects: potential influence on moisture content of local weather conditions at outdoor wood residual storage sites; generally, higher ash contents in \“engineered” wood residuals as compared with \“raw” wood residuals; higher energy content values in fiber-wood as compared with particle-wood typologies. The smoke qualitative analysis for noncontrolled lab-scale burning tests has primarily revealed: the presence of specific organic compounds indicative of incomplete wood combustion; the presence exclusively in \“engineered” wood burning tests of pyrroles and amines, as well as the additional presence (as compared with \“raw” wood burning) of further phenolic and containing nitrogen compounds; the potential impact of incomplete industrial wood burning on the photochemical smog phenomenon. Keywords: burning test, characterization, furniture district, wood residuals. 1 Introduction According to the framework waste legislation presently in force (Directive 2006/12/EC, which is the codified version of Directive 75/442/EEC as amended [1]), the European Union’s current approach to solid waste management is based on the integrated, hierarchic system consisting of: firstly, prevention or reduction of waste production and harmfulness; secondly, material waste recovery, or waste use as an energy source. Specifically referring to Annex I of the mentioned


For further details log on website :
http://www.witpress.com/elibrary/wit-transactions-on-ecology-and-the-environment/109/19012

Characterisation Of Chromium-Copper- Arsenic (CCA) Treated Wood Waste From A Steel-making Environment

Paper DOI
10.2495/WM120251
Volume
163
Pages
12
Published
2012
Size
822 kb
Author(s)
S. Raghuyal, J. Steer, A. Griffiths & A. Hopkins

Abstract

Copper Chromium Arsenic (CCA) treated wood is used in the construction of coke oven quenching towers in integrated steel-plants and many other industrial applications. Waste arising from such wood has been deemed as hazardous by the recent environmental regulations due to the high heavy metal content. Hence disposal of CCA wood is substantially more expensive. The aim of this paper was to characterise the waste arising from a typical 33 years old coke quenching tower and to give an evaluation for the disposal methods in accordance to current environmental regulations. During the tower demolition, different wood samples were taken from old and renovated sections as well as support beams. Elemental analysis of the wood indicated that CCA concentration ranged from 300mg/kg to 11,000mg/kg decreasing with the age of treated wood. In addition, a high iron concentration was found from 250mg/kg to 18000mg/kg, increasing with the age of treated wood. An analysis of the CCA distribution among the growth-rings of cross-sectioned support beam along the sides as well as to the core of the beam was performed. Water leaching on the CCA wood was also performed up to 1 month duration. CCA elements leached more with increase in leaching duration where arsenic was quickest to leach at 100mg/kg compared chromium being slowest at 21mg/kg for 1 hour duration. Continuous leaching and interrupted leaching tests were also performed to further characterise the leaching behaviour of the CCA wood. To complete the characterisation, SEM analysis was conducted and the results were compared against untreated wood.

For further details log on website :
http://www.witpress.com/elibrary/wit-transactions-on-ecology-and-the-environment/163/23703

Advantages and Disadvantages of Fasting for Runners

Author BY   ANDREA CESPEDES  Food is fuel, especially for serious runners who need a lot of energy. It may seem counterintuiti...