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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Tacuarembó. |
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Fecha : |
21/02/2014 |
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Actualizado : |
11/05/2018 |
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Tipo de producción científica : |
Libros |
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Autor : |
LEMOS, J.; GOTO, Y.; TRUJILLO, M.I.; MARUYAMA, T. |
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Afiliación : |
JORGE DANIEL LEMOS LIMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; INIA Tacuarembó; MARIA ISABEL TRUJILLO LEZAMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; INIA Tacuarembó. |
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Título : |
Metodología para la identificación de clones de Eucalyptus grandis mediante el método RAPD (ADN polimórfico amplificado al azar). |
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Fecha de publicación : |
2002 |
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Fuente / Imprenta : |
Tacuarembó (Uruguay): INIA, 2002. |
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Páginas : |
22 p. |
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Serie : |
(Serie Aftercare Forestal INIA - JICA ; 13). |
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ISBN : |
9974-38-153-3 |
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Idioma : |
Español |
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Notas : |
Aftercare del Proyecto de Mejoramiento Genético Forestal en el Uruguay (2000-2002). |
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Thesagro : |
EUCALYPTUS GRANDIS; MARCADORES GENETICOS; PCR; RAPD. |
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Asunto categoría : |
--
K10 Producción forestal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4356/1/Aftercare-del-Proyecto-de-Mejoramiento-Genetico-Forestal-en-el-Uruguay-2000-2002-Nro.-13.pdf
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Marc : |
LEADER 00760nam a2200229 a 4500
001 1040548
005 2018-05-11
008 2002 bl uuuu u00u1 u #d
020 $a9974-38-153-3
100 1 $aLEMOS, J.
245 $aMetodología para la identificación de clones de Eucalyptus grandis mediante el método RAPD (ADN polimórfico amplificado al azar).
260 $aTacuarembó (Uruguay): INIA$c2002
300 $a22 p.
490 $a(Serie Aftercare Forestal INIA - JICA ; 13).
500 $aAftercare del Proyecto de Mejoramiento Genético Forestal en el Uruguay (2000-2002).
650 $aEUCALYPTUS GRANDIS
650 $aMARCADORES GENETICOS
650 $aPCR
650 $aRAPD
700 1 $aGOTO, Y.
700 1 $aTRUJILLO, M.I.
700 1 $aMARUYAMA, T.
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Registro original : |
INIA La Estanzuela (LE) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
18/12/2020 |
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Actualizado : |
21/05/2021 |
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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 : |
BERETTA-BLANCO, A.; CARRASCO-LETELIER, L. |
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Afiliación : |
ANDRÉS BERETTA-BLANCO, Dirección General de Recursos Naturales, Ministerio de Ganadería Agricultura y Pesca, Uruguay.; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Relevant factors in the eutrophication of the Uruguay River and the Río Negro. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Science of the Total Environment, Volume 761, 20 March 2021, Article number 143299. Doi: https://doi.org/10.1016/j.scitotenv.2020.143299 |
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DOI : |
10.1016/j.scitotenv.2020.143299 |
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Idioma : |
Inglés |
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Notas : |
Article history: Article history:Received 10 April 2020/Received in revised form 9 October 2020/Accepted 25 October 2020/Available online 14 November 2020. Corresponding author:E-mail address: lcarrasco@inia.org.uy (L. Carrasco-Letelier). |
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Contenido : |
Abstract: In recent decades, there has been increasing eutrophication of rivers and lagoons in Uruguay and solutions leading to water purification are being sought. The growing pollution has been attributed to nitrogen and phosphorus compounds exported from the river basins with intensification of agricultural production and the absence of tertiary treatment for urban and industrial effluents. Although nitrogen and phosphorus are relevant to eutrophication, there are also other factors that can promote eutrophication and algal blooms. This paper reports a broad analysis of water quality variables recorded over 9 years (2009?2018) at 17 sampling stations on the Uruguay River and 16 sampling stations on the Río Negro, and explores their relationship with the changes of chlorophyll a (Chl-a) concentrations using a generalized linear model and a neural network simulation (NNS). The input variables were total phosphorus; total suspended solids; electrical conductivity of water (ECw); alkalinity; water temperature (T); water pH (pH) and sampling month. The NNS explained 79% of Chl-a variations and showed
the most relevant variables to be T, ECw, and pH. Moreover, the NNS showed that replacement of current land uses by natural prairie would not significantly reduce Chl-a concentrations. The results showed that the main factors that drive Chl-a concentrations (i.e., algae) are not directly linked to agriculture land use. |
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Palabras claves : |
CHL-A; EUTROPHICATION; FRESHWATER; NEURAL NETWORK SIMULATIONS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02373naa a2200205 a 4500
001 1061591
005 2021-05-21
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1016/j.scitotenv.2020.143299$2DOI
100 1 $aBERETTA-BLANCO, A.
245 $aRelevant factors in the eutrophication of the Uruguay River and the Río Negro.$h[electronic resource]
260 $c2021
500 $aArticle history: Article history:Received 10 April 2020/Received in revised form 9 October 2020/Accepted 25 October 2020/Available online 14 November 2020. Corresponding author:E-mail address: lcarrasco@inia.org.uy (L. Carrasco-Letelier).
520 $aAbstract: In recent decades, there has been increasing eutrophication of rivers and lagoons in Uruguay and solutions leading to water purification are being sought. The growing pollution has been attributed to nitrogen and phosphorus compounds exported from the river basins with intensification of agricultural production and the absence of tertiary treatment for urban and industrial effluents. Although nitrogen and phosphorus are relevant to eutrophication, there are also other factors that can promote eutrophication and algal blooms. This paper reports a broad analysis of water quality variables recorded over 9 years (2009?2018) at 17 sampling stations on the Uruguay River and 16 sampling stations on the Río Negro, and explores their relationship with the changes of chlorophyll a (Chl-a) concentrations using a generalized linear model and a neural network simulation (NNS). The input variables were total phosphorus; total suspended solids; electrical conductivity of water (ECw); alkalinity; water temperature (T); water pH (pH) and sampling month. The NNS explained 79% of Chl-a variations and showed the most relevant variables to be T, ECw, and pH. Moreover, the NNS showed that replacement of current land uses by natural prairie would not significantly reduce Chl-a concentrations. The results showed that the main factors that drive Chl-a concentrations (i.e., algae) are not directly linked to agriculture land use.
653 $aCHL-A
653 $aEUTROPHICATION
653 $aFRESHWATER
653 $aNEURAL NETWORK SIMULATIONS
700 1 $aCARRASCO-LETELIER, L.
773 $tScience of the Total Environment, Volume 761, 20 March 2021, Article number 143299. Doi: https://doi.org/10.1016/j.scitotenv.2020.143299
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