Applying colorimetry for wood differentiation of fabaceae species grown in southern brazil

Authors

  • Helena Cristina Vieira
  • Joielan Xipaia dos Santos
  • Deivison Venicio Souza
  • Polliana D’ Angelo Rios
  • Graciela Inés Bolzon de Muñiz
  • Simone Ribeiro Morrone
  • Silvana Nisgoski

DOI:

https://doi.org/10.4067/s0718-221x2022000100416

Keywords:

Araucaria forest, colorimetric parameters, species differentiation, trade control, wood color

Abstract

Because of the need for identification of forest species, especially for detection of illegal wood trade, the objective of this study was to evaluate the potential of colorimetry for differentiation of Inga vera Willd., Muellera campestris (Mart. ex Benth.) M.J. Silva & A.M.G. Azevedo and Machaerium paraguariense Hassl., species of the Fabaceae family, native to the Araucaria Forest in the state of Santa Catarina, southern Brazil. Discs at breast height were collected from three trees of each species and the colorimetric parameters (L*, a*, b*, C* and h) and visible spectra were evaluated in different radial position of the trunk (near bark, intermediate and near pith) and three different anatomical sections (transversal, radial and tangential surfaces). Mean values of hue angle (h) among the colorimetric parameters resulted in the highest potential for species discrimination. With respect to radial trunk position and anatomical section, parameters a* (green-red) and h were not statistically different, independent of the wood samples evaluated. For other parameters (L*, b* and C*), each species presented distinct results. Principal component analysis with second derivative of visible spectra discriminated all species. Colorimetry associated with chemometrics allowed to distinguish I. vera, M. campestris and M. paraguariense.

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References

Amorim, P.G.R.; Gonçalez, J.C.; Camargos, J.A.A. 2013. Propriedades da madeira de Pinus caribaea e Eucalyptus grandis estimadas por colorimetria. Cerne 19(3): 461-466. https://www.redalyc.org/articulo.oa?id=74428921013

Andrade, L.E.; Forzza, R.C. ; Walter, G.Z.; Filardi, F.L.R. 2018. Brazilian Flora 2020: innovation and collaboration to meet Target 1 of the Global Strategy for Plant Conservation (GSPC). Rodriguésia 69(4): 1513-1527. http://www.repositorio.ufop.br/handle/123456789/11055

Atayde, C.M.; Gonçalez, J.C.; Camargos, J.A.A. 2011. Características colorimétricas entre as seções anatômicas da madeira de muirapiranga (Brosimum sp.). Cerne 17(2): 231-235. https://www.redalyc.org/pdf/744/74418601011.pdf

Autran, C.S.; Gonçalez, J.C. 2006. Caracterização colorimétrica das madeiras de muirapiranga (Brosimum rubescens Taub.) e de seringueira (Hevea brasiliensis, clone TJIR 16 Müll Arg.) visando à utilização em interiores. Cienc Florest 16(4): 445-451. https://repositorio.unb.br/bitstream/10482/10500/1/ARTIGO_CaracterizacaoColorimetricaMadeiras.pdf

Barros, S.V. dos S.; de Muñiz, G.I.B.; de Matos, J.L.M. 2014. Caracterização colorimétrica das madeiras de três espécies florestais da Amazônia. Cerne 20(3): 337-342. https://www.redalyc.org/pdf/744/74432265001.pdf

Cademartori, P.H.G.; Schneid, E.; Gatto, D.A.; Stangerlin, D.M.; Beltrame, R. 2013. Thermal modification of Eucalyptus grandis wood: variation of colorimetric parameters. Maderas-Cienc Tecnol 15(1): 57-64. http://dx.doi.org/10.4067/S0718-221X2013005000005

Camargos, J.A.A.; Gonçalez, J.C.A. 2001. A colorimetria aplicada como instrumento na elaboração de uma tabela de cores de madeira. Brasil Florestal 71: 30-41. https://repositorio.unb.br/handle/10482/10497

Cisneros, A.B.; Nisgoski, S.; Moglia, J.G.; Córdoba, M. 2019. Colorimetría en la madera de Prosopis alba. Maderas-Cienc Tecnol 23(1): 393-404. http://dx.doi.org/10.4067/S0718-221X2019005000311

Ferreira, D. F. 2011. Sisvar: a computer statistical analysis system. Ciênc Agrotec 35(6): 1039-1042. http://dx.doi.org/10.1590/S1413-70542011000600001

Gasper, A.L.; Sevegnani, L.; Vibrans, A.C.; Sobral, M.M.; Uhlmann, A.; Lingner, D. V.; Rigon Júnior, M.J.; Verdi, M.; et al. 2013. Inventário florístico florestal de Santa Catarina: espécies da Floresta Ombrófila Mista. Rodriguésia 64(2): 201-210. http://rodriguesia-seer.jbrj.gov.br/index.php/rodriguesia/article/view/ID%20575/pdf_44

Martins, P.J.; Mazon, J.A.; Martinkoski, L.; Benini, C.C.; Watzlawick, L.F. 2017. Dinâmica da Vegetação Arbórea em Floresta Ombrófila Mista Montana Antropizada. Floresta Ambient. 24: e00097014. http://dx.doi.org/10.1590/2179-8087.097014

MINISTÉRIO DO MEIO AMBIENTE. MMA. 2014. Lista nacional oficial de espécies da flora ameaçadas de extinção. Portaria MMA 443, 17 de dezembro de 2014. https://ckan.jbrj.gov.br/dataset/23f2e24c-5676-4acd-83f0-03621cba4364/resource/8d0bbe11-e7d4-49c3-98ba-c07f2dfacf5e/download/portariamma4432014listaespeciesfloraameacadasextincaobrasil.pdf

Mori, C.L.S. de O.; Lima, J.T.; Mori, F.A.; Trugilho, P.F.; Goncalez, J.C. 2005. Caracterização da cor da madeira de clones de híbridos de Eucalyptus spp. Cerne 11(2): 137-146. https://www.redalyc.org/pdf/744/74411204.pdf

Moya, R.; Fallas, R.S.; Bonilla, P.J.; Tenorio, C. 2012. Relationship between wood color parameters measured by the CIELab system and extractive and phenol content in Acacia mangium and Vochysia guatemalensis from fast-growth plantations. Molecules 17(4): 3639-3652. https://doi.org/10.3390/molecules17043639

Nisgoski, S.; De Muniz, G.I.B.; Gonçalves, T.A.P.; Ballarin, A.W. 2017. Use of visible and near-infrared spectroscopy for discrimination of eucalypt species by examination of solid samples. Trop For Sci 29(3): 371–379. https://www.jstor.org/stable/44272915

Nishino, Y.; Janin, G.; Chanson, B.; Détienne, P.; Gril, J.; Thibaut, B. 1998. Colorimetry of wood specimens from French Guiana. J Wood Sci 44(1): 3-8. https://doi.org/10.1007/BF00521867

Pastore, T.C.M.; Santos, K.O.; Rubim, J.C.A. 2004. Spectro colorimetric study on the effect of ultraviolet irradiation of four tropical hardwoods. Bioresource technol 93(1): 37-42. https://doi.org/10.1016/j.biortech.2003.10.035

Paula de, M.H.; De Mesquita, R.R.S.; Gonçalez, J.C.; Ribeiro, E.S.; Souza, R.S. 2016. Utilização de métodos não destrutivos para caracterização simplificada da madeira de cumaru (Dipteryx odorata Willd). Biodiversidade 15(2): 136-149. http://www.periodicoscientificos.ufmt.br/ojs/index.php/biodiversidade/article/view/3967/2761

R Core Team. 2018. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

Ross, R.J. 2010. Wood handbook: wood as an engineering material. USDA Forest Service, Forest Products Laboratory, General Technical Report FPL-GTR-190, Madison. https://www.fpl.fs.fed.us/documnts/fplgtr/fpl_gtr190.pdf

Silva, E.S.; Stangerlin, D.M.; Gatto, D.A.; Calegari, L.; Pariz, E. 2015. Colorimetria da madeira de oito espécies nativas do estado do Rio Grande do Sul, Brasil. Braz J Wood Sci 6(1): 31-37. http://dx.doi.org/10.15210/cmad.v6i1.4292

Silva, R.A.F.; Setter, C.; Mazette, S.S.; De Melo, R.R.; Stangerlin, D.M. 2017. Colorimetria da madeira de trinta espécies tropicais. Braz J Wood Sci 8(1): 36:41. http://dx.doi.org/10.15210/cmad.v8i1.9686

Vieira, H.C.; Rios, P.D.A.; Santos, T.M.G.Q.M.; Cunha, A.B.D.; Brand, M.A.; Danielli, D.; Florez, J.B.; Stange, R.; et al. 2019a. Agrupamento e caracterização anatômica da madeira de espécies nativas da Floresta Ombrófila Mista. Rodriguésia 70: e04382017. http://dx.doi.org/10.1590/2175-7860201970038

Vieira, H.C.; Da Silva, E.L.; Dos Santos, J.X.; De Muñiz, G.I.B.; Morrone, S.R.; Nisgoski, S. 2019b. Wood colorimetry of native species of Myrtaceae from a Araucaria Forest. Floresta 49(2): 353-362. https://doi.org/10.5380/rf.v49 i2.58236

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Published

2021-12-21

How to Cite

Vieira, H. C., dos Santos, J. X. ., Souza, D. V. ., Rios, P. D. A. ., Bolzon de Muñiz, G. I. ., Morrone, S. R. ., & Nisgoski, S. . (2021). Applying colorimetry for wood differentiation of fabaceae species grown in southern brazil. Maderas-Cienc Tecnol, 24, 1–12. https://doi.org/10.4067/s0718-221x2022000100416

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