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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
21/02/2014 |
Actualizado : |
31/03/2017 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
FASSIO, A.; RODRIGUEZ, M.; IBAÑEZ, W.; PÉREZ, O.; CERETTA, S.; RESTAINO, E.; RABAZA, C.; VERGARA, G. |
Afiliación : |
ALBERTO SANTIAGO FASSIO ARAUJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCELO JULIAN RODRIGUEZ ALONZO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WILFREDO ARIEL IBAÑEZ ALVEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSVALDO MARTIN PEREZ GONZALEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SERGIO EDUARDO CERETTA SORIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ERNESTO ANGEL RESTAINO GALUP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS MARIANO RABAZA LOPEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GLENDA ALEJANDRA VERGARA GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
El modelo de predicción en soja del INIA. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
El País Agropecuario,v. 20, n. 237,p. 24-25, 2014. |
Idioma : |
Español |
Thesagro : |
SOJA. |
Asunto categoría : |
-- |
Marc : |
LEADER 00515naa a2200205 a 4500 001 1034800 005 2017-03-31 008 2014 bl uuuu u00u1 u #d 100 1 $aFASSIO, A. 245 $aEl modelo de predicción en soja del INIA. 260 $c2014 650 $aSOJA 700 1 $aRODRIGUEZ, M. 700 1 $aIBAÑEZ, W. 700 1 $aPÉREZ, O. 700 1 $aCERETTA, S. 700 1 $aRESTAINO, E. 700 1 $aRABAZA, C. 700 1 $aVERGARA, G. 773 $tEl País Agropecuario,v. 20$gn. 237,p. 24-25, 2014.
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Registro original : |
INIA La Estanzuela (LE) |
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
Fecha actual : |
09/04/2021 |
Actualizado : |
02/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
BAO, L.; MARTÍNEZ, S.; CADENAZZI, M.; URRUTIA, M.; SEIJAS, L.; CASTIGLIONI, E. |
Afiliación : |
LETICIA BAO, aCrop Protection Department, University of Republic, Montevideo, Montevideo, Uruguay; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MÓNICA CADENAZZI, Department of Statistical Biometrics and Computing, University of Republic, Paysandú, Uruguay; MÓNICA URRUTIA, University of Republic, Montevideo, Uruguay; LUCÍA SEIJAS, Crop Protection Department, University of Republic, Montevideo, Uruguay, Montevideo, Uruguay; ENRIQUE CASTIGLIONI, Eastern Region University Centre, University of Republic, Rocha, Uruguay. |
Título : |
Aquatic macroinvertebrates in Uruguayan rice agroecosystem. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Biodiversity Data Journal, 2021, Volume 9, 2021, e60745, pages 1-18. OPEN ACCESS. Doi: https://doi.org/10.3897/BDJ.9.e60745 |
ISSN : |
1314-2828 |
DOI : |
10.3897/BDJ.9.e60745 |
Idioma : |
Inglés |
Notas : |
Article history: Received 13 Nov 2020; Approved 18 Feb 2021; Published: 04 Mar 2021.
Corresponding author: Leticia Bao - Crop Protection Department, University of Republic, Montevideo, Montevideo, Uruguay; email:baoleticia@gmail.com |
Contenido : |
ABSTRACT.
This work is a first approach to the knowledge of insects and other aquatic macroinvertebrates of rice agroecosystems from eastern Uruguay. The composition of the groups collected may represent an approximation to the knowledge of the quality of water sources associated with Uruguayan rice production. Sampling of aquatic macroinvertebrates was carried out during the grain-filling stage in crops without insecticide use, in three localities of Treinta y Tres Department. In each crop, macroinvertebrates were collected with a Surber-type network at the inlet and outlet of water to and from the paddy field and a neighbouring control area. Differences in morphospecies composition were found according to the location and source of water. Insecta was the most represented class in macroinvertebrate samplings (41.5%). Diptera (59.9%), Hemiptera (16.3%) and Ephemeroptera (14.0%) were the most abundant orders within insects. The Richness and Shannon Diversity Indices were higher than those recorded for similar studies in Costa Rica, Italy and Australia.
© 2021 Bao L et al. All Rights Reserved. |
Palabras claves : |
Bio-indicators; Biodiversity; Water quality. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16657/1/BDJ-article-60745.pdf
https://bdj.pensoft.net/article/60745/download/pdf/
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Marc : |
LEADER 02088naa a2200253 a 4500 001 1061965 005 2022-09-02 008 2021 bl uuuu u00u1 u #d 022 $a1314-2828 024 7 $a10.3897/BDJ.9.e60745$2DOI 100 1 $aBAO, L. 245 $aAquatic macroinvertebrates in Uruguayan rice agroecosystem.$h[electronic resource] 260 $c2021 500 $aArticle history: Received 13 Nov 2020; Approved 18 Feb 2021; Published: 04 Mar 2021. Corresponding author: Leticia Bao - Crop Protection Department, University of Republic, Montevideo, Montevideo, Uruguay; email:baoleticia@gmail.com 520 $aABSTRACT. This work is a first approach to the knowledge of insects and other aquatic macroinvertebrates of rice agroecosystems from eastern Uruguay. The composition of the groups collected may represent an approximation to the knowledge of the quality of water sources associated with Uruguayan rice production. Sampling of aquatic macroinvertebrates was carried out during the grain-filling stage in crops without insecticide use, in three localities of Treinta y Tres Department. In each crop, macroinvertebrates were collected with a Surber-type network at the inlet and outlet of water to and from the paddy field and a neighbouring control area. Differences in morphospecies composition were found according to the location and source of water. Insecta was the most represented class in macroinvertebrate samplings (41.5%). Diptera (59.9%), Hemiptera (16.3%) and Ephemeroptera (14.0%) were the most abundant orders within insects. The Richness and Shannon Diversity Indices were higher than those recorded for similar studies in Costa Rica, Italy and Australia. © 2021 Bao L et al. All Rights Reserved. 653 $aBio-indicators 653 $aBiodiversity 653 $aWater quality 700 1 $aMARTÍNEZ, S. 700 1 $aCADENAZZI, M. 700 1 $aURRUTIA, M. 700 1 $aSEIJAS, L. 700 1 $aCASTIGLIONI, E. 773 $tBiodiversity Data Journal, 2021, Volume 9, 2021, e60745, pages 1-18. OPEN ACCESS. Doi: https://doi.org/10.3897/BDJ.9.e60745
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