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| Registros recuperados : 31 | |
| 6. |  | BENNADJI, Z. Mesa tecnológica de la madera: el camino hacia la sistematización de la prospección de la demanda tecnológica del sector forestal Revista INIA, 2006, no. 6, p. 26-29 Artículo publicado, también, en Revista Forestal: revista de la sociedad de productores forestales, no. 28, año 8, época 2, p. 24-26, 2006.| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
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| 8. | | Bennadji, Z. Presentación del Programa Nacional Forestal del INIA ln: Congreso Nacional de Ingeniería Agronómica, 6., 1993, Montevideo, Uruguay Trabajos presentados. Montevideo (Uruguay): Asociación de Ingenieros Agrónomos del Uruguay, 1993. p. VI- 6-10| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
30/08/2023 |
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Actualizado : |
30/08/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
GASPARRI, P.; HIRIGOYEN, A.; RACHID, C.; BALMELLI, G. |
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Afiliación : |
MARIA DEL PILAR GASPARRI PITA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRES EDUARDO HIRIGOYEN DOMINGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANA CECILIA RACHID CASNATI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO DANIEL BALMELLI HERNANDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Predictive model of stump regrowth in Eucalyptus globulus based on pre-harvest information. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
New Forests, 2023. https://doi.org/10.1007/s11056-023-09993-7 |
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ISSN : |
0169-4286 (print); 1573-5095 (electronic). |
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DOI : |
10.1007/s11056-023-09993-7 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 22 February 2023; Accepted 22 July 2023; Published 28 July 2023. -- Correspondence author: Gustavo Balmelli; email:
gbalmelli@inia.org.uy -- FUNDING: The study was funded by a scholarship awarded by INIA (National Institute of Agricultural Research) to the first author. -- |
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Contenido : |
ABSTRACT.- Eucalyptus species have a great capacity for regeneration after harvest, which allows a second rotation as a coppice crop. The decision whether to manage the next rotation as a coppice crop or to replant depends on the expected economic result of each alternative. The problem that foresters face is the difficulty of predicting the productivity in the next rotation, which will depend largely on the percentage of stumps that resprout. Therefore, the objectives of this work were: (i) to identify the preharvest variables that influence stump regrowth and (ii) to develop a model for predicting the probability of stump regrowth in commercial plantations of Eucalyptus globulus in Uruguay based on pre-harvest information. Thirty-three plots were established in commercial plantations, in which silvicultural management, growth and health status before harvest were recorded, as well as the number of stumps that sprouted after harvest. Significant differences were found in the percentage of resprout for the following variables: genetic material, type of harvest machine, proportion of trees with DBH > 14 cm, proportion of trees with bark cankers, proportion of trees with epicormic shoots, and proportion of trees with apical death. However, the logistic regression model adjusted to predict the probability of regrowth only included as explanatory variables the genetic material, the type of harvesting machine, the proportion of trees with DBH > 14 cm, and the proportion of trees with bark cankers. The use of this model will allow managers of E. globulus plantations to make more informed decisions for the next rotation.
© The Author(s), under exclusive licence to Springer Nature B.V. 2023 MenosABSTRACT.- Eucalyptus species have a great capacity for regeneration after harvest, which allows a second rotation as a coppice crop. The decision whether to manage the next rotation as a coppice crop or to replant depends on the expected economic result of each alternative. The problem that foresters face is the difficulty of predicting the productivity in the next rotation, which will depend largely on the percentage of stumps that resprout. Therefore, the objectives of this work were: (i) to identify the preharvest variables that influence stump regrowth and (ii) to develop a model for predicting the probability of stump regrowth in commercial plantations of Eucalyptus globulus in Uruguay based on pre-harvest information. Thirty-three plots were established in commercial plantations, in which silvicultural management, growth and health status before harvest were recorded, as well as the number of stumps that sprouted after harvest. Significant differences were found in the percentage of resprout for the following variables: genetic material, type of harvest machine, proportion of trees with DBH > 14 cm, proportion of trees with bark cankers, proportion of trees with epicormic shoots, and proportion of trees with apical death. However, the logistic regression model adjusted to predict the probability of regrowth only included as explanatory variables the genetic material, the type of harvesting machine, the proportion of trees with DBH > 14 cm, and ... Presentar Todo |
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Palabras claves : |
Blue gum plantations; Health status; Modeling; SISTEMA FORESTAL - INIA; Stump survival; Tree growth. |
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Asunto categoría : |
K10 Producción forestal |
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Marc : |
LEADER 02834naa a2200265 a 4500
001 1064302
005 2023-08-30
008 2023 bl uuuu u00u1 u #d
022 $a0169-4286 (print); 1573-5095 (electronic).
024 7 $a10.1007/s11056-023-09993-7$2DOI
100 1 $aGASPARRI, P.
245 $aPredictive model of stump regrowth in Eucalyptus globulus based on pre-harvest information.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 22 February 2023; Accepted 22 July 2023; Published 28 July 2023. -- Correspondence author: Gustavo Balmelli; email: gbalmelli@inia.org.uy -- FUNDING: The study was funded by a scholarship awarded by INIA (National Institute of Agricultural Research) to the first author. --
520 $aABSTRACT.- Eucalyptus species have a great capacity for regeneration after harvest, which allows a second rotation as a coppice crop. The decision whether to manage the next rotation as a coppice crop or to replant depends on the expected economic result of each alternative. The problem that foresters face is the difficulty of predicting the productivity in the next rotation, which will depend largely on the percentage of stumps that resprout. Therefore, the objectives of this work were: (i) to identify the preharvest variables that influence stump regrowth and (ii) to develop a model for predicting the probability of stump regrowth in commercial plantations of Eucalyptus globulus in Uruguay based on pre-harvest information. Thirty-three plots were established in commercial plantations, in which silvicultural management, growth and health status before harvest were recorded, as well as the number of stumps that sprouted after harvest. Significant differences were found in the percentage of resprout for the following variables: genetic material, type of harvest machine, proportion of trees with DBH > 14 cm, proportion of trees with bark cankers, proportion of trees with epicormic shoots, and proportion of trees with apical death. However, the logistic regression model adjusted to predict the probability of regrowth only included as explanatory variables the genetic material, the type of harvesting machine, the proportion of trees with DBH > 14 cm, and the proportion of trees with bark cankers. The use of this model will allow managers of E. globulus plantations to make more informed decisions for the next rotation. © The Author(s), under exclusive licence to Springer Nature B.V. 2023
653 $aBlue gum plantations
653 $aHealth status
653 $aModeling
653 $aSISTEMA FORESTAL - INIA
653 $aStump survival
653 $aTree growth
700 1 $aHIRIGOYEN, A.
700 1 $aRACHID, C.
700 1 $aBALMELLI, G.
773 $tNew Forests, 2023. https://doi.org/10.1007/s11056-023-09993-7
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