Optimisation of tetrazolium concentration and immersion time in the viability test of Swietenia macrophylla seeds by using Response Surface Methodology

Yudel García Quintana, Reinier Abreu Naranjo, Yasiel Arteaga Crespo, Héctor Reyes Morán

Abstract


The aim of this study was to optimise tetrazolium concentration and immersion time in the viability test of S. macrophylla seeds by using Response Surface Methodology (RSM). For this, a RSM Central Composite Design (CCD), type 23 was applied. The quantification of viable and non-viable seed germs was performed using the interpretation of topological patterns. The viability of the seed expressed as a percentage was selected as a response variable whilst the tetrazolium concentration and immersion time were independent factors. The quadratic polynomial model of the four evaluated aspects was best adjusted with 0.99 and 0.93 for the coefficients R2 and Predicted-R2, respectively. Using ANOVA, it was demonstrated that only immersion had a significant effect. The optimisation study showed that it is possible to achieve values of viability above 90% at low tetrazolium concentrations (0.05%) using immersion times between 75 and 90 minutes.


Keywords


embryo; response surface methodology; prediction; forest.

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References


Krisnawati, H.; Kallio, M.; Kanninen, M. Swietenia macrophylla king: Ecology, silviculture and productivity. CIFOR, 2011.

Lugo, A. E.; Alayón, M. Big-leaf mahogany: Genetics, ecology and management. Springer Science & Business Media, 2003.

Wadsworth, F. H.; González, E. Sustained mahogany (swietenia macrophylla) plantation heartwood increment. For. Ecol. Manag., v. 255, p. 320-323, 2008.

Lakon, G. Topographischer nachweis der keimfähigkeit der getreidefrüchte durch tetrazoliumsalze. 1942.

Amoedo, S. C.; Ferraz, I. D. K. Seed quality evaluation by tetrazolium staining during a desiccation study of the recalcitrant seeds of carapa guianensis aubl. And carapa surinamensis miq.-meliaceae. African Journal of Agricultural Research, v. 12, p. 1005-1013, 2017.

Oliveira, F. N. D.; Torres, S. B.; Nogueira, N. W.; Freitas, R. M. O. D. Viability of simira gardneriana mr barbosa & peixoto seeds by the tetrazolium test. Journal of Seed Science, v. 38, p. 7-13, 2016.

Paiva, E. P. D.; Torres, S. B.; Almeida, J. P. N. D.; Sá, F. V. D. S.; Oliveira, R. R. T. Tetrazolium test for the viability of gherkin seeds. Revista Ciência Agronômica, v. 48, p. 118-124, 2017.

Windauer, L. B.; Insausti, P.; Biganzoli, F.; Benech-Arnold, R.; Izaguirre, M. M. Dormancy and germination responses of kiwifruit (actinidia deliciosa) seeds to environmental cues. Seed Sci. Res., v. 26, p. 342-350, 2016.

De Azevedo Pasqualini, A. P.; Dos Santos, J. N.; Ayub, R. A. Behavior and viability of blueberry seeds through germination and tetrazolium test. Advances in Bioscience and Biotechnology, v. 7, p. 11, 2016.

Santos, J.; Sanches, M.; Barbosa, M.; Leao, E.; Vieira, R. D. Optimising tetrazolium test procedures to evaluate the physiological potential of peanut seeds. Seed Sci. Technol., v. 40, p. 215-228, 2012.

Witek-Krowiak, A.; Chojnacka, K.; Podstawczyk, D.; Dawiec, A.; Pokomeda, K. Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process. Bioresour. Technol., v. 160, p. 150-160, 2014.

Amini, M.; Younesi, H. Biosorption of cd (ii), ni (ii) and pb (ii) from aqueous solution by dried biomass of aspergillus niger: Application of response surface methodology to the optimization of process parameters. CLEAN–Soil, Air, Water, v. 37, p. 776-786, 2009.

Iglesias, J.; Santiana, J.; Chinchero, M. Sistema de clasificación de los ecosistemas del ecuador continental. Quito, Ministerio del Ambiente del Ecuador, v. 2012, p. 86-88, 2013.

Ista International rules for seed testing. Rules 1999. 1999.

Astm-E871-82 Standard test method for moisture analysis of particulate wood fuels. Book Ttle, ASTM International, West Conshohocken, PA, 2006.

Marin, M.; Toorop, P.; Powell, A.; Laverack, G. Tetrazolium staining predicts germination of commercial seed lots of european native species differing in seed quality. Seed Sci. Technol., v. 45, p. 151-166, 2017.

Kiran, B.; Pathak, K.; Kumar, R.; Deshmukh, D. Statistical optimization using central composite design for biomass and lipid productivity of microalga: A step towards enhanced biodiesel production. Ecological Engineering, v. 92, p. 73-81, 2016.

Crespo, Y. A.; Naranjo, R. A.; Quitana, Y. G.; Sanchez, C. G.; Sanchez, E. M. S. Optimisation and characterisation of bio-oil produced by acacia mangium willd wood pyrolysis. Wood Sci. Technol., v., p. 1-17,

Anderson, M. J.; Whitcomb, P. J. Doe simplified: Practical tools for effective experimentation. CRC Press, 2016.

Sarmento, M.; Da Silva, A.; Villela, F.; Dos Santos, K.; De Mattos, L. Teste de tetrazólio para avaliação da qualidade fisiológica em sementes de goiabeira-serrana (acca sellowiana o. Berg burret). Revista Brasileira de Fruticultura, v. 35, p. 270-276, 2013.


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