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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
16/01/2020 |
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Actualizado : |
16/01/2020 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
CARRACELAS, B.; PERAZA, P.; VERGARA, A.; DALLA RIZZA, M.; CIAPPESONI, G.; NAVAJAS, E. |
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Afiliación : |
EMERITA BEATRIZ CARRACELAS MARQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO PERAZA DOS SANTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDREA VERGARA BANEGAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCO DALLA RIZZA VILARO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Banco de ADN genómico animal - Plataforma en selección genómica animal. [Resumen] |
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Complemento del título : |
Biotecnología Animal. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
In: REDBIO; INIA (Instituto Nacional de Investigación Agropecuaria); REDBIO Argentina. X Encuentro Latinoamericano y del Caribe de Biotecnología Agropecuaria y XI Simposio Redbio Argentina. Libro de Resúmenes. Montevideo 12 - 15 Noviembre 2019. Montevideo (UY): INIA, 2019. p. 162. |
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Serie : |
(INIA Serie Técnica; 253) |
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ISBN : |
e-ISBN 978-9974-38-437-8 |
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ISSN : |
1688-9266 |
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DOI : |
http://doi.org/10.35676/INIA/ST.253 |
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Idioma : |
Español |
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Contenido : |
El Banco de ADN Genómico Animal fue creado como iniciativa conjunta entre el Instituto Nacional de Investigación Agropecuaria (INIA) y la Asociación Rural del Uruguay (ARU) en el año 2010, siendo responsable de la conservación y gestión del material genético de la pecuaria nacional. Está ubicado en la estación experimental de INIA Las Brujas, dentro de la Unidad de Biotecnología. |
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Palabras claves : |
BANCO DE ADN GENÓMICO ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14025/1/st-253-p162.pdf
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Marc : |
LEADER 01311nam a2200217 a 4500
001 1060631
005 2020-01-16
008 2019 bl uuuu u01u1 u #d
022 $a1688-9266
024 7 $ahttp://doi.org/10.35676/INIA/ST.253$2DOI
100 1 $aCARRACELAS, B.
245 $aBanco de ADN genómico animal - Plataforma en selección genómica animal. [Resumen]$h[electronic resource]
260 $aIn: REDBIO; INIA (Instituto Nacional de Investigación Agropecuaria); REDBIO Argentina. X Encuentro Latinoamericano y del Caribe de Biotecnología Agropecuaria y XI Simposio Redbio Argentina. Libro de Resúmenes. Montevideo 12 - 15 Noviembre 2019. Montevideo (UY): INIA, 2019. p. 162.$c2019
490 $a(INIA Serie Técnica; 253)
520 $aEl Banco de ADN Genómico Animal fue creado como iniciativa conjunta entre el Instituto Nacional de Investigación Agropecuaria (INIA) y la Asociación Rural del Uruguay (ARU) en el año 2010, siendo responsable de la conservación y gestión del material genético de la pecuaria nacional. Está ubicado en la estación experimental de INIA Las Brujas, dentro de la Unidad de Biotecnología.
653 $aBANCO DE ADN GENÓMICO ANIMAL
700 1 $aPERAZA, P.
700 1 $aVERGARA, A.
700 1 $aDALLA RIZZA, M.
700 1 $aCIAPPESONI, G.
700 1 $aNAVAJAS, E.
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Registro original : |
INIA Las Brujas (LB) |
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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 : |
08/06/2021 |
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Actualizado : |
08/06/2021 |
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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 : |
CAMBA SANS, G. H.; VERÓN, S. R.; PARUELO, J. |
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Afiliación : |
GONZALO HERNÁN CAMBA SANS, Lab. Análisis Regional y Teledetección, Fac. Agronomía, Univ. Buenos Aires- IFEVA- CONICET, Buenos Aires, Argentina; Univ. Buenos Aires, Fac. Agronomía, Dpto. Métodos Cuantitativos y Sistemas de Información, Buenos Aires, Argentina.; SANTIAGO RAMÓN VERÓN, Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Clima y Agua, Castelar, Buenos Aires, Argentina.; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Univ. Bs.As. - IFEVA- CONICET, Argentina; Fac. Ciencias, Univ. República, Montevideo, Uruguay. |
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Título : |
Forest strips increase connectivity and modify forests? functioning in a deforestation hotspot. |
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Complemento del título : |
Research article. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Journal of Environmental Management, 2021, Volume 290, Article number 112606. Doi: https://doi.org/10.1016/j.jenvman.2021.112606 |
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ISSN : |
0301-4797 |
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DOI : |
10.1016/j.jenvman.2021.112606 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 29 August 2020, Revised 3 April 2021, Accepted 11 April 2021, Available online 28 April 2021. |
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Contenido : |
ABSTRACT. - Land use changes are occurring with unprecedented magnitude and intensity, imposing global impacts on ecosystem services (ES) and biodiversity. While the impacts of land use changes are increasingly recognized, understanding how landscape connectivity is related to ecosystem functioning is lacking. In the Argentinian Dry Chaco, deforestation increased forest fragmentation but strips of native forest (linear remnants) were usually left after clearings. Although the number of ecological studies on forest strips has increased, their contribution to forest connectivity and functioning has not been assessed. We evaluated the contribution of forest strips to forest connectivity and estimated its effect on forests' functioning considering low, moderate, and high species' dispersal abilities in our estimation. The effects of forest strip connectivity contribution to the forests' Ecosystem Services Supply Index (Forests' ESSI) was also analyzed. Forest strips contributed on average 6% and up to 40% to forest connectivity for moderate dispersal abilities, while low and high dispersals presented low values in almost all cases. The connectivity contribution was highest (between 15 and 40%) and variable for moderate dispersal abilities in landscapes with between 25 and 35% of forest cover. High connectivity contribution was generally achieved for low and moderate dispersals when forest strips conformed a network among forest patches. Forest strip connectivity significantly increased the forests? ESSI (between 1.3 and 2.4% per unit of connectivity contribution) and its effect was higher in comparison to forest amount and fragmentation. This study provides insights for planning the location of forest strips and forest remnants in agricultural landscapes, thus increasing forest connectivity for enhancing ecosystem functioning.
© 2021 Elsevier Ltd MenosABSTRACT. - Land use changes are occurring with unprecedented magnitude and intensity, imposing global impacts on ecosystem services (ES) and biodiversity. While the impacts of land use changes are increasingly recognized, understanding how landscape connectivity is related to ecosystem functioning is lacking. In the Argentinian Dry Chaco, deforestation increased forest fragmentation but strips of native forest (linear remnants) were usually left after clearings. Although the number of ecological studies on forest strips has increased, their contribution to forest connectivity and functioning has not been assessed. We evaluated the contribution of forest strips to forest connectivity and estimated its effect on forests' functioning considering low, moderate, and high species' dispersal abilities in our estimation. The effects of forest strip connectivity contribution to the forests' Ecosystem Services Supply Index (Forests' ESSI) was also analyzed. Forest strips contributed on average 6% and up to 40% to forest connectivity for moderate dispersal abilities, while low and high dispersals presented low values in almost all cases. The connectivity contribution was highest (between 15 and 40%) and variable for moderate dispersal abilities in landscapes with between 25 and 35% of forest cover. High connectivity contribution was generally achieved for low and moderate dispersals when forest strips conformed a network among forest patches. Forest strip connectivity significantly in... Presentar Todo |
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Palabras claves : |
Chaco; Connectivity; Conservation; Deforestation; Ecological intensification; Ecosystem function; Ecosystem services; Forest ecosystem; Fragmentation; Land use change; Landscape ecology. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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Marc : |
LEADER 02973naa a2200313 a 4500
001 1062113
005 2021-06-08
008 2021 bl uuuu u00u1 u #d
022 $a0301-4797
024 7 $a10.1016/j.jenvman.2021.112606$2DOI
100 1 $aCAMBA SANS, G. H.
245 $aForest strips increase connectivity and modify forests? functioning in a deforestation hotspot.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 29 August 2020, Revised 3 April 2021, Accepted 11 April 2021, Available online 28 April 2021.
520 $aABSTRACT. - Land use changes are occurring with unprecedented magnitude and intensity, imposing global impacts on ecosystem services (ES) and biodiversity. While the impacts of land use changes are increasingly recognized, understanding how landscape connectivity is related to ecosystem functioning is lacking. In the Argentinian Dry Chaco, deforestation increased forest fragmentation but strips of native forest (linear remnants) were usually left after clearings. Although the number of ecological studies on forest strips has increased, their contribution to forest connectivity and functioning has not been assessed. We evaluated the contribution of forest strips to forest connectivity and estimated its effect on forests' functioning considering low, moderate, and high species' dispersal abilities in our estimation. The effects of forest strip connectivity contribution to the forests' Ecosystem Services Supply Index (Forests' ESSI) was also analyzed. Forest strips contributed on average 6% and up to 40% to forest connectivity for moderate dispersal abilities, while low and high dispersals presented low values in almost all cases. The connectivity contribution was highest (between 15 and 40%) and variable for moderate dispersal abilities in landscapes with between 25 and 35% of forest cover. High connectivity contribution was generally achieved for low and moderate dispersals when forest strips conformed a network among forest patches. Forest strip connectivity significantly increased the forests? ESSI (between 1.3 and 2.4% per unit of connectivity contribution) and its effect was higher in comparison to forest amount and fragmentation. This study provides insights for planning the location of forest strips and forest remnants in agricultural landscapes, thus increasing forest connectivity for enhancing ecosystem functioning. © 2021 Elsevier Ltd
653 $aChaco
653 $aConnectivity
653 $aConservation
653 $aDeforestation
653 $aEcological intensification
653 $aEcosystem function
653 $aEcosystem services
653 $aForest ecosystem
653 $aFragmentation
653 $aLand use change
653 $aLandscape ecology
700 1 $aVERÓN, S. R.
700 1 $aPARUELO, J.
773 $tJournal of Environmental Management, 2021, Volume 290, Article number 112606. Doi: https://doi.org/10.1016/j.jenvman.2021.112606
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