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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
03/10/2019 |
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Actualizado : |
20/04/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
PUPPO. L.; GARCIA, C.; BAUTISTA, E.; HUNSAKER, D.J.; BERETTA, A.; GIRONA, J. |
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Afiliación : |
LUCÍA PUPPO, Universidad de la República, Facultad de Agronomía, Departamento de Suelos y Aguas, Grupo Disciplinario de Ingeniería Agrícola, Uruguay.; CLAUDIO CESAR GARCIA GALLARRETA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EDUARDO BAUTISTA, USDA-ARS, Arid Land Agricultural Research Center, United States.; DOUGLAS J. HUNSAKER, USDA-ARS, Arid Land Agricultural Research Center, United States.; ANDRÉS BERETTA, Universidad de la República, Facultad de Agronomía, Departamento de Suelos y Aguas, Grupo Disciplinario Suelos, Uruguay.; JOAN GIRONA, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Àrea de Tecnologia Frutícola, Catalunya, Spain. |
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Título : |
Seasonal basal crop coefficient pattern of young non-bearing olive trees grown in drainage lysimeters in a temperate sub-humid climate. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Agricultural Water Management, 20 December 2019, Volume 226, Article number 105732. Doi:https://doi.org/10.1016/j.agwat.2019.105732 |
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ISSN : |
0378-3774 |
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DOI : |
10.1016/j.agwat.2019.105732 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 23 September 2018 / Received in revised form 17 June 2019 / Accepted 28 July 2019. |
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Contenido : |
ABSTRACT.
Young non-bearing olive trees were grown in drainage lysimeters and their water consumption was measured over two consecutive yearly-experimental periods to analyze the effect ofseasonal variations on the basal crop coefficient (Kcb). Micro-lysimeter measurements were used to quantify soil evaporation (Es) and Es was subtracted from evapotranspiration (ETc) to determine transpiration. Monthly mean (Kcb) were determined as (ETc-Es)/ETo, where ETo is the FAO-PM grass-reference evapotranspiration, calculated from locally measured weather data. The observed Kcb value at mid-season, 0.38, was obtained in the fall months, with 41% of canopy cover. The mid-season Kcb when adjusted to the FAO-56 standard climate was 0.43. Seasonal patterns of Kcb are presented and the Kcb value during the mid-season growth-stage was found to be similar to those described in the literature for Mediterranean climates. Variation of the basal crop coefficient was satisfactorily explained by measured canopy light interception (FIR) and a linear regression model is presented for Kcb as a function of FIR.
© 2019 Elsevier B.V. |
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Palabras claves : |
Crop coefficients; Evapotranspiration; Irrigation requirements; Soil water content. |
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Thesagro : |
OLEA EUROPAEA L; OLIVOS. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02174naa a2200289 a 4500
001 1060271
005 2020-04-20
008 2019 bl uuuu u00u1 u #d
022 $a0378-3774
024 7 $a10.1016/j.agwat.2019.105732$2DOI
100 1 $aPUPPO. L.
245 $aSeasonal basal crop coefficient pattern of young non-bearing olive trees grown in drainage lysimeters in a temperate sub-humid climate.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 23 September 2018 / Received in revised form 17 June 2019 / Accepted 28 July 2019.
520 $aABSTRACT. Young non-bearing olive trees were grown in drainage lysimeters and their water consumption was measured over two consecutive yearly-experimental periods to analyze the effect ofseasonal variations on the basal crop coefficient (Kcb). Micro-lysimeter measurements were used to quantify soil evaporation (Es) and Es was subtracted from evapotranspiration (ETc) to determine transpiration. Monthly mean (Kcb) were determined as (ETc-Es)/ETo, where ETo is the FAO-PM grass-reference evapotranspiration, calculated from locally measured weather data. The observed Kcb value at mid-season, 0.38, was obtained in the fall months, with 41% of canopy cover. The mid-season Kcb when adjusted to the FAO-56 standard climate was 0.43. Seasonal patterns of Kcb are presented and the Kcb value during the mid-season growth-stage was found to be similar to those described in the literature for Mediterranean climates. Variation of the basal crop coefficient was satisfactorily explained by measured canopy light interception (FIR) and a linear regression model is presented for Kcb as a function of FIR. © 2019 Elsevier B.V.
650 $aOLEA EUROPAEA L
650 $aOLIVOS
653 $aCrop coefficients
653 $aEvapotranspiration
653 $aIrrigation requirements
653 $aSoil water content
700 1 $aGARCIA, C.
700 1 $aBAUTISTA, E.
700 1 $aHUNSAKER, D.J.
700 1 $aBERETTA, A.
700 1 $aGIRONA, J.
773 $tAgricultural Water Management, 20 December 2019, Volume 226, Article number 105732. Doi:https://doi.org/10.1016/j.agwat.2019.105732
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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 : |
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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