Application of non-linear mathematical models for the estimation of forage biomass of Tithonia diversifolia (Hemsl.) A. Gray
Determination of the forage biomass of the bushes is usually done with destructive methods, therefore the prediction of biomass with non-destructive methods represents a tool for farmers and agricultural researchers, which justifies this study, given the saving of time and resources in the planning processes of forage resources. The construction of allometrics equations is a methodology for estimating the biomass of woody species; these procedures are useful for researchers of agroforestry resources . The objective of this study was to generate an equation to estimate the biomass of a shrub, Tithonia diversifolia, using linear measurements; which were statistically analyzed by Pearson correlation coefficients, through which the variables most correlated with the biomass were selected .The work field was conducted from November to December 2013 at the Experimental Center of the National University of Colombia - CEUNP, Palmira, in an experimental area of 880 m, with row design every 2 m and distance between plants of 1 m, for a total of 440 plants. The canopy volume was estimated by measuring the height and two diameters to be included in a modified formula of the basic volume of an ellipsoid. A Mitcherlich equation had the best fit, under the model Ӯ = 15,06 (1-1,06) -0,12X . This equation was the best predictor of biomass for this species .
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Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
2018
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Mora-Delgado, Jairo Holguín, Vilma |
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Mora-Delgado, Jairo Holguín, Vilma Application of non-linear mathematical models for the estimation of forage biomass of Tithonia diversifolia (Hemsl.) A. Gray |
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Mora-Delgado, Jairo Holguín, Vilma |
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Mora-Delgado, Jairo |
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Application of non-linear mathematical models for the estimation of forage biomass of Tithonia diversifolia (Hemsl.) A. Gray |
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Application of non-linear mathematical models for the estimation of forage biomass of Tithonia diversifolia (Hemsl.) A. Gray |
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Application of non-linear mathematical models for the estimation of forage biomass of Tithonia diversifolia (Hemsl.) A. Gray |
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Application of non-linear mathematical models for the estimation of forage biomass of Tithonia diversifolia (Hemsl.) A. Gray |
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Application of non-linear mathematical models for the estimation of forage biomass of Tithonia diversifolia (Hemsl.) A. Gray |
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application of non-linear mathematical models for the estimation of forage biomass of tithonia diversifolia (hemsl.) a. gray |
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Determination of the forage biomass of the bushes is usually done with destructive methods, therefore the prediction of biomass with non-destructive methods represents a tool for farmers and agricultural researchers, which justifies this study, given the saving of time and resources in the planning processes of forage resources. The construction of allometrics equations is a methodology for estimating the biomass of woody species; these procedures are useful for researchers of agroforestry resources . The objective of this study was to generate an equation to estimate the biomass of a shrub, Tithonia diversifolia, using linear measurements; which were statistically analyzed by Pearson correlation coefficients, through which the variables most correlated with the biomass were selected .The work field was conducted from November to December 2013 at the Experimental Center of the National University of Colombia - CEUNP, Palmira, in an experimental area of 880 m, with row design every 2 m and distance between plants of 1 m, for a total of 440 plants. The canopy volume was estimated by measuring the height and two diameters to be included in a modified formula of the basic volume of an ellipsoid. A Mitcherlich equation had the best fit, under the model Ӯ = 15,06 (1-1,06) -0,12X . This equation was the best predictor of biomass for this species . |
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Universidad de Ciencias Aplicadas y Ambientales U.D.C.A |
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https://revistas.udca.edu.co/index.php/ruadc/article/view/661 |
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AT moradelgadojairo applicationofnonlinearmathematicalmodelsfortheestimationofforagebiomassoftithoniadiversifoliahemslagray AT holguinvilma applicationofnonlinearmathematicalmodelsfortheestimationofforagebiomassoftithoniadiversifoliahemslagray AT moradelgadojairo aplicaciondemodelosmatematicosnolinealesparalaestimaciondebiomasaforrajeradetithoniadiversifoliahemslagray AT holguinvilma aplicaciondemodelosmatematicosnolinealesparalaestimaciondebiomasaforrajeradetithoniadiversifoliahemslagray |
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rev-ruadc-co-article-6612020-05-13T18:16:34Z Application of non-linear mathematical models for the estimation of forage biomass of Tithonia diversifolia (Hemsl.) A. Gray Aplicación de modelos matemáticos no lineales para la estimación de biomasa forrajera de Tithonia diversifolia (Hemsl.) A. Gray Mora-Delgado, Jairo Holguín, Vilma Bancos de forraje predicción arbustos modelos matemáticos https://agclass.nal.usda.gov/mtwdk.exe Fodder bank prediction shrubs mathematical models https://agclass.nal.usda.gov/mtwdk.exe Determination of the forage biomass of the bushes is usually done with destructive methods, therefore the prediction of biomass with non-destructive methods represents a tool for farmers and agricultural researchers, which justifies this study, given the saving of time and resources in the planning processes of forage resources. The construction of allometrics equations is a methodology for estimating the biomass of woody species; these procedures are useful for researchers of agroforestry resources . The objective of this study was to generate an equation to estimate the biomass of a shrub, Tithonia diversifolia, using linear measurements; which were statistically analyzed by Pearson correlation coefficients, through which the variables most correlated with the biomass were selected .The work field was conducted from November to December 2013 at the Experimental Center of the National University of Colombia - CEUNP, Palmira, in an experimental area of 880 m, with row design every 2 m and distance between plants of 1 m, for a total of 440 plants. The canopy volume was estimated by measuring the height and two diameters to be included in a modified formula of the basic volume of an ellipsoid. A Mitcherlich equation had the best fit, under the model Ӯ = 15,06 (1-1,06) -0,12X . This equation was the best predictor of biomass for this species . La determinación de la biomasa forrajera de los arbustos, generalmente, se realiza con métodos destructivos, por ello, la predicción de la biomasa con métodos no destructivos representa una herramienta para los finqueros e investigadores agropecuarios, lo cual, justifica este estudio, dado el ahorro de tiempo y de recursos en los procesos de planificación del recurso forrajero . La construcción de ecuaciones alométricas es una metodología para la estimación de la biomasa de especies leñosas; estos procedimientos son útiles para los investigadores de los recursos agroforestales . El objetivo de este estudio fue formular una ecuación para estimar la biomasa de arbustos de Tithonia diversifolia, usando mediciones lineales; se analizaron estadísticamente, a través de coeficientes de correlación de Pearson, mediante los cuales, se seleccionaron las variables más correlacionadas con la biomasa . El trabajo de campo fue realizado desde noviembre hasta diciembre de 2013, en el Centro Experimental de la Universidad Nacional de Colombia - CEUNP, Palmira, en un área experimental de 880m, con diseño de surcos cada 2m y distancia entre plantas de 1m, para un total de 440 plantas . El volumen de dosel fue estimado mediante la medición de la altura y dos diámetros, para ser incluidos en una fórmula modificada del volumen básico de un elipsoide. La ecuación de Mitcherlich tuvo el mejor ajuste, siendo el modelo Ӯ = 15,06 (1-1,06) -0,12X, el que mejor predice la biomasa forrajera. Universidad de Ciencias Aplicadas y Ambientales U.D.C.A 2018-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf application/xml https://revistas.udca.edu.co/index.php/ruadc/article/view/661 10.31910/rudca.v21.n1.2018.661 Revista U.D.C.A Actualidad & Divulgación Científica; Vol. 21 No. 1 (2018): Revista U.D.C.A Actualidad & Divulgación Científica. Enero-Junio; 43-50 Revista U.D.C.A Actualidad & Divulgación Científica; Vol. 21 Núm. 1 (2018): Revista U.D.C.A Actualidad & Divulgación Científica. Enero-Junio; 43-50 Revista U.D.C.A Actualidad & Divulgación Científica; v. 21 n. 1 (2018): Revista U.D.C.A Actualidad & Divulgación Científica. Enero-Junio; 43-50 2619-2551 0123-4226 10.31910/rudca.v21.n1.2018 spa https://revistas.udca.edu.co/index.php/ruadc/article/view/661/662 https://revistas.udca.edu.co/index.php/ruadc/article/view/661/1441 /*ref*/ACOSTA, J .R .; ARAGÓN, M .; LLANOS, Y .; MADERO, E . 1997 .Cartografía ultra detallada de suelos y evalua- ción de tierras del centro experimental de la Univer- sidad Nacional de Colombia (CEUNP) sede Palmira . Acta Agron . 47(1):23-34. /*ref*/ARMAND, D . 1994 . Modèles pour une estimation rapide de la biomasse foliaire de Morus alba (CV . Kokuso 21) croissant en conditions diverses . Cah . Options Méditerr . 4:77-83 . /*ref*/BRYANT, F .C .; KOTHMANN, M .M . 1979 . 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