Development of a height estimation method based on the diameter at breast height of Prosopis alba Grisebach selected populations from a progeny trial in Santiago del Estero, Argentina

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The main objective of this work was to develop a height estimation method of Prosopis alba based on the diameter at breast height (DBH) of populations with superior characteristics selected through a progeny trial located in the INTA Experimental Agricultural Station, Province of Santiago del Estero...

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Autores principales: Frassoni, Javier Eduardo, Joseau, Marisa Jacqueline
Formato: Artículo revista
Lenguaje:Inglés
Español
Publicado: Facultad de Ciencias Agropecuarias. 2019
Materias:
white “algarrobo”
allometric variables
height estimation model
linear regressions
algarrobo blanco
variables alométricas
modelo de estimación de altura
regresión lineal
Acceso en línea:https://revistas.unc.edu.ar/index.php/agris/article/view/24310
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Revistas de la UNC de Universidad Nacional de Córdoba
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spelling I10-R10-article-243102020-03-30T15:08:47Z Development of a height estimation method based on the diameter at breast height of Prosopis alba Grisebach selected populations from a progeny trial in Santiago del Estero, Argentina Desarrollo de un método de estimación de altura en función del diámetro a la altura de pecho de poblaciones seleccionadas de Prosopis alba Grisebach establecidas en un ensayo de progenie en Santiago del Estero, Argentina Frassoni, Javier Eduardo Joseau, Marisa Jacqueline white “algarrobo” allometric variables height estimation model linear regressions algarrobo blanco variables alométricas modelo de estimación de altura regresión lineal The main objective of this work was to develop a height estimation method of Prosopis alba based on the diameter at breast height (DBH) of populations with superior characteristics selected through a progeny trial located in the INTA Experimental Agricultural Station, Province of Santiago del Estero, Argentina. The progeny trial was established in 2008 and consists of 3,671 individuals (202 families). The registered variables were DBH and total height (TH) of 123 individuals, taken at random from the three blocks that make up the trial. Linear regressions were performed to develop the model that best fits height estimation with all the sampled individuals (AI model) and, also using the data of 7 individuals - the three trees of greater diameter, the three of smaller diameter and an individual of intermediate diameter-, called the reduced height estimation model (RHEM model). AI model and RHEM model were satisfactory to estimate height of the trees based on their DBH in the trial of progenies in Santiago del Estero. However, the RHEM model offers an important saving of time and effort, simplifying the field activity. El objetivo del trabajo fue desarrollar un método de estimación de la altura de los árboles en función de su diámetro a la altura de pecho (DAP) de poblaciones selectas de Prosopis alba seleccionadas por características superiores, en un ensayo de progenie ubicado en la Estación Experimental Agropecuaria de la provincia de Santiago del Estero. El ensayo de progenie fue establecido en el año 2008 y está conformado por 3671 individuos (202 familias). Las variables registradas fueron el DAP y altura total de 123 individuos, tomados al azar de los tres bloques que conforman el ensayo. Se realizaron regresiones lineales para determinar el modelo que mejor ajusta a la determinación de la altura con todos los ejemplares muestreados (modelo TI) y, también utilizando los datos de siete ejemplares –los tres árboles de mayor diámetro, los tres de menor diámetro y un individuo de diámetro intermedio–, denominado modelo de estimación reducido de altura (modelo MERA). Tanto el modelo TI como el MERA fueron satisfactorios para estimar la altura en función del DAP. Sin embargo, el modelo MERA ofrece un importante ahorro de tiempo y esfuerzo en las mediciones. Facultad de Ciencias Agropecuarias. 2019-12-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html https://revistas.unc.edu.ar/index.php/agris/article/view/24310 AgriScientia; Vol. 36 No. 2 (2019); 89-95 AgriScientia; Vol. 36 Núm. 2 (2019); 89-95 1668-298X 10.31047/1668.298x.v36.n2 eng spa https://revistas.unc.edu.ar/index.php/agris/article/view/24310/28840 https://revistas.unc.edu.ar/index.php/agris/article/view/24310/29282
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-10
container_title_str Revistas de la UNC
language Inglés
Español
format Artículo revista
topic white “algarrobo”
allometric variables
height estimation model
linear regressions
algarrobo blanco
variables alométricas
modelo de estimación de altura
regresión lineal
spellingShingle white “algarrobo”
allometric variables
height estimation model
linear regressions
algarrobo blanco
variables alométricas
modelo de estimación de altura
regresión lineal
Frassoni, Javier Eduardo
Joseau, Marisa Jacqueline
Development of a height estimation method based on the diameter at breast height of Prosopis alba Grisebach selected populations from a progeny trial in Santiago del Estero, Argentina
topic_facet white “algarrobo”
allometric variables
height estimation model
linear regressions
algarrobo blanco
variables alométricas
modelo de estimación de altura
regresión lineal
author Frassoni, Javier Eduardo
Joseau, Marisa Jacqueline
author_facet Frassoni, Javier Eduardo
Joseau, Marisa Jacqueline
author_sort Frassoni, Javier Eduardo
title Development of a height estimation method based on the diameter at breast height of Prosopis alba Grisebach selected populations from a progeny trial in Santiago del Estero, Argentina
title_short Development of a height estimation method based on the diameter at breast height of Prosopis alba Grisebach selected populations from a progeny trial in Santiago del Estero, Argentina
title_full Development of a height estimation method based on the diameter at breast height of Prosopis alba Grisebach selected populations from a progeny trial in Santiago del Estero, Argentina
title_fullStr Development of a height estimation method based on the diameter at breast height of Prosopis alba Grisebach selected populations from a progeny trial in Santiago del Estero, Argentina
title_full_unstemmed Development of a height estimation method based on the diameter at breast height of Prosopis alba Grisebach selected populations from a progeny trial in Santiago del Estero, Argentina
title_sort development of a height estimation method based on the diameter at breast height of prosopis alba grisebach selected populations from a progeny trial in santiago del estero, argentina
description The main objective of this work was to develop a height estimation method of Prosopis alba based on the diameter at breast height (DBH) of populations with superior characteristics selected through a progeny trial located in the INTA Experimental Agricultural Station, Province of Santiago del Estero, Argentina. The progeny trial was established in 2008 and consists of 3,671 individuals (202 families). The registered variables were DBH and total height (TH) of 123 individuals, taken at random from the three blocks that make up the trial. Linear regressions were performed to develop the model that best fits height estimation with all the sampled individuals (AI model) and, also using the data of 7 individuals - the three trees of greater diameter, the three of smaller diameter and an individual of intermediate diameter-, called the reduced height estimation model (RHEM model). AI model and RHEM model were satisfactory to estimate height of the trees based on their DBH in the trial of progenies in Santiago del Estero. However, the RHEM model offers an important saving of time and effort, simplifying the field activity.
publisher Facultad de Ciencias Agropecuarias.
publishDate 2019
url https://revistas.unc.edu.ar/index.php/agris/article/view/24310
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AT joseaumarisajacqueline developmentofaheightestimationmethodbasedonthediameteratbreastheightofprosopisalbagrisebachselectedpopulationsfromaprogenytrialinsantiagodelesteroargentina
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first_indexed 2022-08-20T01:01:41Z
last_indexed 2022-08-20T01:01:41Z
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