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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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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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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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
26/08/2019 |
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Actualizado : |
29/08/2019 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
DÍAZ-LEYVA, F.A.; HERNÁNDEZ-RODRÍGUEZ, L.; ZAMORA-RODRÍGUEZ, V.; PÉREZ-CASTRO, J.M.; RIVAS, F.; LLANES-ÁLVAREZ, Y.; FERRIOL-MARCHENA, X.; MANZANO-ALFONO, L.; BERTALMIO, A. |
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Afiliación : |
FRANK A. DÍAZ-LEYVA, Instituto de Investigaciones en Fruticultura Tropical, Cuba.; LESTER HERNÁNDEZ-RODRÍGUEZ, Instituto de Investigaciones en Fruticultura Tropical, Cuba.; VICTORIA ZAMORA-RODRÍGUEZ, Instituto de Investigaciones en Fruticultura Tropical, Cuba.; JUANA MARÍA PÉREZ-CASTRO, Instituto de Investigaciones en Fruticultura Tropical, Cuba.; CARLOS FERNANDO RIVAS GRELA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; YILIAN LLANES-ÁLVAREZ, Instituto de Investigaciones en Fruticultura Tropical, Cuba.; XENIA FERRIOL-MARCHENA, Instituto de Investigaciones en Fruticultura Tropical, Cuba.; LISET MANZANO-ALFONSO, Instituto de Investigaciones en Fruticultura Tropical, Cuba.; ANA MARIA BERTALMIO CASARIEGO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Detección molecular de viroides de cítricos inoculados en cidro Etrog Arizona 861-S1 cultivada in vitro. [Molecular detection of citrus viroids micrograft-inoculated to Arizona 861-S1 Etrog citron budsticks cultivated in vitro.]. FVO-8. |
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Complemento del título : |
Sección científica: Vigilancia fitosanitaria y manejo de plagas. [Scientific sesion: Phytosanitary surveillance and pest management]. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
In: Instituto de Investigaciones en Fruticultura Tropical (IIFT). Simposio Internacional de Fruticultura Tropical y Subtropical, 5.; Simposio Internacional de Piña, 9., "Fruticultura 2017". Libro de resúmenes."Por una fruticultura competitiva y sostenible". Cuba: Instituto de Investigaciones en Fruticultura Tropical. |
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Páginas : |
p. 8-9 |
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Idioma : |
Español |
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Contenido : |
RESUMEN.
El protocolo para la certificación de viroides del Sistema de Producción de Material de Propagación Certificado de Cítricos de Cuba (SPMPCC), requiere hasta siete meses para obtener los resultados. En este estudio se probó un método para detectar en menor tiempo los viroides CEVd, HSVd y CDVd, mediante la inoculación in vitro de varetas de cidro Etrog Arizona 861-S1 (Citrus medica L.) acoplado a reacciones de RT-PCR.
ABSTRACT.
The minimal time require for viroids certification by the diagnosis protocols of the System of Production of Certified Propagation Material of Citrus of Cuba (SPCPMC) is up to seven months to obtain the results. In this study we tested a method to detect the viroids CEVd, HSVd and CDVd in a shorter time by in vitro inoculation of Arizona 861-S1 Etrog citron (Citrus medica L.) budsticks, coupled to RT-PCR reactions. |
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Palabras claves : |
CDVd-III; CEVd; CVd-IIb; GRAFTING; HSVd; INJERTO; RT-PCR. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13156/1/FVO8.-Rivas-Bertalmio.-2017.-Presentacion-oral.pdf
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Marc : |
LEADER 02126nam a2200301 a 4500
001 1060057
005 2019-08-29
008 2017 bl uuuu u00u1 u #d
100 1 $aDÍAZ-LEYVA, F.A.
245 $aDetección molecular de viroides de cítricos inoculados en cidro Etrog Arizona 861-S1 cultivada in vitro. [Molecular detection of citrus viroids micrograft-inoculated to Arizona 861-S1 Etrog citron budsticks cultivated in vitro.]. FVO-8.$h[electronic resource]
260 $aIn: Instituto de Investigaciones en Fruticultura Tropical (IIFT). Simposio Internacional de Fruticultura Tropical y Subtropical, 5.; Simposio Internacional de Piña, 9., "Fruticultura 2017". Libro de resúmenes."Por una fruticultura competitiva y sostenible". Cuba: Instituto de Investigaciones en Fruticultura Tropical.$c2017
300 $ap. 8-9
520 $aRESUMEN. El protocolo para la certificación de viroides del Sistema de Producción de Material de Propagación Certificado de Cítricos de Cuba (SPMPCC), requiere hasta siete meses para obtener los resultados. En este estudio se probó un método para detectar en menor tiempo los viroides CEVd, HSVd y CDVd, mediante la inoculación in vitro de varetas de cidro Etrog Arizona 861-S1 (Citrus medica L.) acoplado a reacciones de RT-PCR. ABSTRACT. The minimal time require for viroids certification by the diagnosis protocols of the System of Production of Certified Propagation Material of Citrus of Cuba (SPCPMC) is up to seven months to obtain the results. In this study we tested a method to detect the viroids CEVd, HSVd and CDVd in a shorter time by in vitro inoculation of Arizona 861-S1 Etrog citron (Citrus medica L.) budsticks, coupled to RT-PCR reactions.
653 $aCDVd-III
653 $aCEVd
653 $aCVd-IIb
653 $aGRAFTING
653 $aHSVd
653 $aINJERTO
653 $aRT-PCR
700 1 $aHERNÁNDEZ-RODRÍGUEZ, L.
700 1 $aZAMORA-RODRÍGUEZ, V.
700 1 $aPÉREZ-CASTRO, J.M.
700 1 $aRIVAS, F.
700 1 $aLLANES-ÁLVAREZ, Y.
700 1 $aFERRIOL-MARCHENA, X.
700 1 $aMANZANO-ALFONO, L.
700 1 $aBERTALMIO, A.
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