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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
09/11/2017 |
Actualizado : |
12/12/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
FEDERICI, M.; BAJSA, N.; LAGURARA, P.; REVALE, S.; MARCONDES, J.A.; DALLA RIZZA, M. |
Afiliación : |
MARIA TERESA FEDERICI RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NATALIA BAJSA VALVERDE, MEC/ IIBCE (Instituto de Investigaciones de Ciencias Biológicas "Clemente Estable"); PAULA LAGURARA, MEC/ IIBCE (Instituto de Investigaciones de Ciencias Biológicas "Clemente Estable"); SANTIAGO REVALE, INDEAR (Instituto de Agrobiotecnología de Rosario); JACKSON A. MARCONDES, Universidad Estadual Paulista (UNESP)/ Campus de Jaboticabal; MARCO DALLA RIZZA VILARO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Soil and rhizosphere bacterial diversity in maize agro-ecosystem. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Sustainable Agriculture Research, 2017, v.6 (3): 35-51. |
ISSN : |
1927-050X (Print) // 1927-0518 (Online) |
DOI : |
10.5539/sar.v6n3p |
Idioma : |
Inglés |
Notas : |
Article history: Received: April 3, 2017; Accepted: May 20, 2017; Online Published: June 16, 2017. |
Contenido : |
ABSTRACT.
Management practices used in maize production have an impact on soil agro- ecosystems where different microbial communities coexist. Soil inhabiting bacteria are numerous and diverse, but we know very little about their ecological distribution. Here we analyzed the bacterial community diversity in the rhizosphere of two transgenic maize cultivars, in agricultural soil before sowing and in non-cultivated soil in an experimental site in the south region of Uruguay. We followed two culture-independent methods: DGGE (denaturing gradient gel electrophoresis) and 454-pyrosequencing of 16S rRNA gene amplicon. Through pyrosequencing, the three environments analyzed presented differences in terms of bacterial composition. However, no differences were found in the relative abundance of the ten most represented phyla in the rhizosphere of the two cultivars at different phenological stages. We found significant differences of Bacteroidetes, Gemmatimonadetes, Planctomycetes, Proteobacteria and Verrucomicrobia phyla when comparing agricultural and non-cultivated soils, as well as a significant enrichment of members of the phylum Gemmatimonadetes in all rhizosphere samples compared to soil. Through DGGE analysis we evidenced that maize rhizosphere bacterial communities changed at different phenological stages in both cultivars. We also provided baseline information about bacterial specific taxa within maize agro- ecosystem for further evaluation of possible rhizosphere bacterial community shifts of genetically modified maize cultivars under different management practices.
Copyright © Canadian Center of Science and Education MenosABSTRACT.
Management practices used in maize production have an impact on soil agro- ecosystems where different microbial communities coexist. Soil inhabiting bacteria are numerous and diverse, but we know very little about their ecological distribution. Here we analyzed the bacterial community diversity in the rhizosphere of two transgenic maize cultivars, in agricultural soil before sowing and in non-cultivated soil in an experimental site in the south region of Uruguay. We followed two culture-independent methods: DGGE (denaturing gradient gel electrophoresis) and 454-pyrosequencing of 16S rRNA gene amplicon. Through pyrosequencing, the three environments analyzed presented differences in terms of bacterial composition. However, no differences were found in the relative abundance of the ten most represented phyla in the rhizosphere of the two cultivars at different phenological stages. We found significant differences of Bacteroidetes, Gemmatimonadetes, Planctomycetes, Proteobacteria and Verrucomicrobia phyla when comparing agricultural and non-cultivated soils, as well as a significant enrichment of members of the phylum Gemmatimonadetes in all rhizosphere samples compared to soil. Through DGGE analysis we evidenced that maize rhizosphere bacterial communities changed at different phenological stages in both cultivars. We also provided baseline information about bacterial specific taxa within maize agro- ecosystem for further evaluation of possible rhizosphere bacterial ... Presentar Todo |
Palabras claves : |
DGGE; METAGENOMICS; PYROSEQUENCING; RHIZOSPHERE; SOIL BACTERIA; TRANSGENIC MAIZE. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/7925/1/67345-252782-1-PB.pdf
http://www.ccsenet.org/journal/index.php/sar/article/view/67345/37668
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Marc : |
LEADER 02541naa a2200289 a 4500 001 1057747 005 2018-12-12 008 2017 bl uuuu u00u1 u #d 022 $a1927-050X (Print) // 1927-0518 (Online) 024 7 $a10.5539/sar.v6n3p$2DOI 100 1 $aFEDERICI, M. 245 $aSoil and rhizosphere bacterial diversity in maize agro-ecosystem.$h[electronic resource] 260 $c2017 500 $aArticle history: Received: April 3, 2017; Accepted: May 20, 2017; Online Published: June 16, 2017. 520 $aABSTRACT. Management practices used in maize production have an impact on soil agro- ecosystems where different microbial communities coexist. Soil inhabiting bacteria are numerous and diverse, but we know very little about their ecological distribution. Here we analyzed the bacterial community diversity in the rhizosphere of two transgenic maize cultivars, in agricultural soil before sowing and in non-cultivated soil in an experimental site in the south region of Uruguay. We followed two culture-independent methods: DGGE (denaturing gradient gel electrophoresis) and 454-pyrosequencing of 16S rRNA gene amplicon. Through pyrosequencing, the three environments analyzed presented differences in terms of bacterial composition. However, no differences were found in the relative abundance of the ten most represented phyla in the rhizosphere of the two cultivars at different phenological stages. We found significant differences of Bacteroidetes, Gemmatimonadetes, Planctomycetes, Proteobacteria and Verrucomicrobia phyla when comparing agricultural and non-cultivated soils, as well as a significant enrichment of members of the phylum Gemmatimonadetes in all rhizosphere samples compared to soil. Through DGGE analysis we evidenced that maize rhizosphere bacterial communities changed at different phenological stages in both cultivars. We also provided baseline information about bacterial specific taxa within maize agro- ecosystem for further evaluation of possible rhizosphere bacterial community shifts of genetically modified maize cultivars under different management practices. Copyright © Canadian Center of Science and Education 653 $aDGGE 653 $aMETAGENOMICS 653 $aPYROSEQUENCING 653 $aRHIZOSPHERE 653 $aSOIL BACTERIA 653 $aTRANSGENIC MAIZE 700 1 $aBAJSA, N. 700 1 $aLAGURARA, P. 700 1 $aREVALE, S. 700 1 $aMARCONDES, J.A. 700 1 $aDALLA RIZZA, M. 773 $tSustainable Agriculture Research, 2017$gv.6 (3): 35-51.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
06/05/2021 |
Actualizado : |
07/05/2021 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
MARTÍNEZ, R.; STIRLING, S.; WALLER, A.; ERRECARTE, E.; PLA, M.; MENDOZA, A.; FARIÑA, S. |
Afiliación : |
ROCÍO MARTÍNEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA SOFÍA STIRLING SANTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; ALICIA CAROLINA WALLER BARCENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EMILIANO ERRECARTE ALVARIÑO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCELO PLA TEJERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO FRANCISCO MENDOZA AGUIAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria). |
Título : |
Sistemas lecheros de alta producción con estrategias de alimentación y genotipos animales contrastantes.[High producing dairy systems with different feeding strategies and animal genotype]. |
Complemento del título : |
SP 44. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
In: Congreso Argentino de Producción Animal, 41°, 16-19 oct. 2018. Mar del Plata, (Argentina): Asociación Argentina de Producción Animal (AAPA). |
Páginas : |
p.134. |
Serie : |
(Revista Argentina de Producción Animal; 2018; 38; Suppl.1). |
Idioma : |
Español |
Contenido : |
Conclusiones:
Los 4 sistemas alcanzaron el objetivo de producción de sólidos propuesto. En forma preliminar se puede decir que el
genotipo CH, bajo ambas estrategias de alimentación, superó al G. Con respecto a la estrategia de alimentación,
podemos ver que una basada en el crecimiento del pasto permite aumentar la cosecha por vaca y por hectárea, pero
se ve altamente afectada por variaciones en la TC. |
Palabras claves : |
FARMLETS; SISTEMAS LECHEROS. |
Thesagro : |
ALIMENTACION ANIMAL; SISTEMAS PRODUCTIVOS. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15540/1/Revista-Argentina-de-Produccion-Animal-2018.v.38.supl.1.SP-44.pdf
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Marc : |
LEADER 01384nam a2200253 a 4500 001 1062025 005 2021-05-07 008 2018 bl uuuu u01u1 u #d 100 1 $aMARTÍNEZ, R. 245 $aSistemas lecheros de alta producción con estrategias de alimentación y genotipos animales contrastantes.[High producing dairy systems with different feeding strategies and animal genotype].$h[electronic resource] 260 $aIn: Congreso Argentino de Producción Animal, 41°, 16-19 oct. 2018. Mar del Plata, (Argentina): Asociación Argentina de Producción Animal (AAPA).$c2018 300 $ap.134. 490 $a(Revista Argentina de Producción Animal; 2018; 38; Suppl.1). 520 $aConclusiones: Los 4 sistemas alcanzaron el objetivo de producción de sólidos propuesto. En forma preliminar se puede decir que el genotipo CH, bajo ambas estrategias de alimentación, superó al G. Con respecto a la estrategia de alimentación, podemos ver que una basada en el crecimiento del pasto permite aumentar la cosecha por vaca y por hectárea, pero se ve altamente afectada por variaciones en la TC. 650 $aALIMENTACION ANIMAL 650 $aSISTEMAS PRODUCTIVOS 653 $aFARMLETS 653 $aSISTEMAS LECHEROS 700 1 $aSTIRLING, S. 700 1 $aWALLER, A. 700 1 $aERRECARTE, E. 700 1 $aPLA, M. 700 1 $aMENDOZA, A. 700 1 $aFARIÑA, S.
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