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Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador)

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Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador)

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dc.contributor.author Velázquez Martí, Borja es_ES
dc.contributor.author Gaibor-Chavez, Juan es_ES
dc.contributor.author Perez-Pacheco, Sergio es_ES
dc.date.accessioned 2016-07-26T11:11:04Z
dc.date.available 2016-07-26T11:11:04Z
dc.date.issued 2016-03
dc.identifier.issn 1932-104X
dc.identifier.uri http://hdl.handle.net/10251/68239
dc.description.abstract [EN] In this work, a new approach to evaluating the amount of residual biomass obtained from orange trees based on normalization of variables is proposed for Bolivar province, Ecuador. So far, several models to quantify the amount of residues obtained from pruning have been proposed from dendrometric and cultivation variables, such as height, crown diameter, stem diameter, area per plant, yield, and age. However, the high dispersion of their values, caused by uncontrolled conditions, gave models with a low-medium coeffi cient of determination. The aim of this work has been to develop several models in order to predict wet available biomass using dimensionless dendrometric parameters from height, diameter and height of the crown, and the stem height. They improved the coeffi cients of determination to 0.94 for the global mathematical model. The drying process of pruned materials has also been analyzed. Residual biomass with 50% initial moisture content was dried outdoors on cement and agricultural soil until it reached constant moisture content. Models used to describe the drying process of agricultural products were employed to fi t the observed data of the drying process of orange tree chips. Among the tested models, the Midili and Page models were those that best fi tted the observed data in the drying process. The information offered by these equations is of vital importance because they help estimate the amount of biomass that is generated in a given area, and the implementation geographic information system (GIS) maps. In addition, logistic algorithms can be applied. es_ES
dc.description.sponsorship This research work has been carried out within the cooperation frame funded by the ADSIDEO program of Centro de Cooperacion al Desarrollo (CCD) of Universidad Politecnica de Valencia (Spain), in collaboration with the Centro de Estudios de la Biomasa (CEB), Universidad Estatal de Bolivar, Guaranda, Ecuador. The participation of Dr Sergio Perez in this work was possible by funding from the Ecuadorian government by means of PROMETEO program, led by the Secretaria Nacional de Educacion Superior, Ciencia y Tecnologia (SENESCYT). en_EN
dc.language Inglés es_ES
dc.publisher Wiley es_ES
dc.relation.ispartof Biofuels, Bioproducts and Biorefining es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Bioenergy es_ES
dc.subject Biomass surveying es_ES
dc.subject Drying kinetics es_ES
dc.subject Pruning orange trees es_ES
dc.subject.classification INGENIERIA AGROFORESTAL es_ES
dc.title Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador) es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1002/bbb.1635
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural es_ES
dc.description.bibliographicCitation Velázquez Martí, B.; Gaibor-Chavez, J.; Perez-Pacheco, S. (2016). Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador). Biofuels, Bioproducts and Biorefining. 10(2):175-186. doi:10.1002/bbb.1635 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://dx.doi.org/10.1002/bbb.1635 es_ES
dc.description.upvformatpinicio 175 es_ES
dc.description.upvformatpfin 186 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 303808 es_ES
dc.identifier.eissn 1932-1031
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Centro de Estudios de la Biomasa es_ES
dc.contributor.funder Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, Ecuador es_ES
dc.description.references Villena-Izurieta NP 2015 http://www.eumed.net/cursecon/ecolat/ec/2015/matriz-productiva.html es_ES
dc.description.references Guardiola, J. L., Monerri, C., & Agusti, M. (1982). The inhibitory effect of gibberellic acid on flowering in Citrus. Physiologia Plantarum, 55(2), 136-142. doi:10.1111/j.1399-3054.1982.tb02276.x es_ES
dc.description.references Sartori, I. A., Koller, O. C., Theisen, S., Souza, P. V. D. de, Bender, R. J., & Marodin, G. A. B. (2007). Efeito da poda, raleio de frutos e uso de fitorreguladores na produção de tangerinas (Citrus deliciosa Tenore) cv. montenegrina. Revista Brasileira de Fruticultura, 29(1), 5-10. doi:10.1590/s0100-29452007000100004 es_ES
dc.description.references Nesbitt, M. L., Ebel, R. C., & Dozier, W. A. (2008). Production Practices for Satsuma Mandarins in the Southeastern United States. HortScience, 43(2), 290-292. doi:10.21273/hortsci.43.2.290 es_ES
dc.description.references B. Velázquez Martí, & E. Fernández González. (2010). The Influence of Mechanical Pruning in Cost Reduction, Production of Fruit, and Biomass Waste in Citrus Orchards. Applied Engineering in Agriculture, 26(4), 531-540. doi:10.13031/2013.32056 es_ES
dc.description.references Velázquez-Martí, B., Fernández-González, E., López-Cortés, I., & Salazar-Hernández, D. M. (2011). Quantification of the residual biomass obtained from pruning of vineyards in Mediterranean area. Biomass and Bioenergy, 35(8), 3453-3464. doi:10.1016/j.biombioe.2011.04.009 es_ES
dc.description.references Velázquez-Martí, B., Fernández-González, E., López-Cortés, I., & Salazar-Hernández, D. M. (2011). Quantification of the residual biomass obtained from pruning of trees in Mediterranean olive groves. Biomass and Bioenergy, 35(7), 3208-3217. doi:10.1016/j.biombioe.2011.04.042 es_ES
dc.description.references PELEG, M. (1988). An Empirical Model for the Description of Moisture Sorption Curves. Journal of Food Science, 53(4), 1216-1217. doi:10.1111/j.1365-2621.1988.tb13565.x es_ES
dc.description.references Veraverbeke, E. A., Verboven, P., Scheerlinck, N., Lan Hoang, M., & Nicolaı̈, B. M. (2003). Determination of the diffusion coefficient of tissue, cuticle, cutin and wax of apple. Journal of Food Engineering, 58(3), 285-294. doi:10.1016/s0260-8774(02)00387-4 es_ES
dc.description.references Bayram, M., Kaya, A., & Öner, M. D. (2004). Changes in properties of soaking water during production of soy-bulgur. Journal of Food Engineering, 61(2), 221-230. doi:10.1016/s0260-8774(03)00094-3 es_ES
dc.description.references Midilli, A., & Kucuk, H. (2003). Mathematical modeling of thin layer drying of pistachio by using solar energy. Energy Conversion and Management, 44(7), 1111-1122. doi:10.1016/s0196-8904(02)00099-7 es_ES
dc.description.references B. Velazquez-Marti, & E. Annevelink. (2009). GIS Application to Define Biomass Collection Points as Sources for Linear Programming of Delivery Networks. Transactions of the ASABE, 52(4), 1069-1078. doi:10.13031/2013.27776 es_ES
dc.description.references Annevelink E de Mol RM 2007 es_ES
dc.description.references Diekema WH De Mol RM Annevelink E Elbersen HW 2005 es_ES
dc.description.references Velazquez-Marti, B., & Fernandez-Gonzalez, E. (2010). Mathematical algorithms to locate factories to transform biomass in bioenergy focused on logistic network construction. Renewable Energy, 35(9), 2136-2142. doi:10.1016/j.renene.2010.02.011 es_ES
dc.description.references Spinelli, R., & Picchi, G. (2010). Industrial harvesting of olive tree pruning residue for energy biomass. Bioresource Technology, 101(2), 730-735. doi:10.1016/j.biortech.2009.08.039 es_ES
dc.description.references Spinelli, R., Magagnotti, N., & Nati, C. (2010). Harvesting vineyard pruning residues for energy use. Biosystems Engineering, 105(3), 316-322. doi:10.1016/j.biosystemseng.2009.11.011 es_ES
dc.description.references Di Blasi, C., Tanzi, V., & Lanzetta, M. (1997). A study on the production of agricultural residues in Italy. Biomass and Bioenergy, 12(5), 321-331. doi:10.1016/s0961-9534(96)00073-6 es_ES
dc.description.references Estornell, J., Ruiz, L. A., Velázquez-Martí, B., & Fernández-Sarría, A. (2011). Estimation of shrub biomass by airborne LiDAR data in small forest stands. Forest Ecology and Management, 262(9), 1697-1703. doi:10.1016/j.foreco.2011.07.026 es_ES
dc.description.references Estornell, J., Ruiz, L. A., Velázquez-Martí, B., & Hermosilla, T. (2012). Estimation of biomass and volume of shrub vegetation using LiDAR and spectral data in a Mediterranean environment. Biomass and Bioenergy, 46, 710-721. doi:10.1016/j.biombioe.2012.06.023 es_ES
dc.description.references Ruiz, L. A. (2012). Assessment of factors affecting shrub volume estimations using airborne discrete-return LiDAR data in Mediterranean areas. Journal of Applied Remote Sensing, 6(1), 063544. doi:10.1117/1.jrs.6.063544 es_ES
dc.description.references Estornell, J., Ruiz, L. A., Velázquez-Martí, B., López-Cortés, I., Salazar, D., & Fernández-Sarría, A. (2015). Estimation of pruning biomass of olive trees using airborne discrete-return LiDAR data. Biomass and Bioenergy, 81, 315-321. doi:10.1016/j.biombioe.2015.07.015 es_ES


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