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3. | | Luchiari Junior, A.; Lima, M. A. de; Ferreira, C. J. Alves; Neves, M. Correa; Campanhola, C.; Luiz, A.J. Barreto Monitoreamento e avaliacao de impacto ambiental na agricultura ln: Viglizzo, E. ; Puignau, J.P. (eds.). Monitoreo ambiental y uso sustentable de las tierras del Cono Sur. Montevideo (Uruguay): IICA-PROCISUR, 1997. p13-21 (IICA-PROCISUR. Diálogo, 46)Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Salto Grande. |
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4. | | LIMA, M.A.DE; SHIRAISHI FRIGHETTO, R.T.; VILLELA, O.V.; COSTA, F.DE S.; BAYER, C.; MACEDO, V.R. M.; MARCOLIN, E. Emissao de metano em cultivo de arroz irrigado por inundacao. ln: Lima, M.A.; Boddey, R.M.; Alvez, B.J.R.; Machado, P.L.O. de A.; Urquiaga, S., eds. Estoques de carbono e emissoes de gases de efeito estufa na agropecuária brasileira. Brasilia, DF (BR): EMBRAPA, 2012. p. 193-221 Donación de la editora Magda A. LimaBiblioteca(s): INIA Treinta y Tres. |
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5. | | FONSECA-BOITEUX, M. E. DE N.; BOITEUX, L. S.; LIMA, M. F.; MENDONÇA, J. L. DE; COSTA, A. F.; FONTES, M. G.; COSTA, H.; GONZÁLEZ-ARCOS, M. First Report of Tomato chlorosis virus Infecting Eggplant and Scarlet Eggplant in Brazil. Plant Disease, 2016 v. 100, no. 4, p. 867. DISEASE NOTES. Article History: Print: 23 Mar 2016; Ahead of Print: 17 Feb 2016; First Look: 23 Nov 2015; Accepted: 16 Nov 2015. OPEN ACCESS.Biblioteca(s): INIA Las Brujas. |
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6. | | GONZÁLEZ-ARCOS, M.; FONSECA, M.E.N.; ARRUABARRENA, A.; LIMA, M.F.; MICHEREFF FILHO, M.; MORIONES, E.; FERNÁNDEZ-MUÑOZ, R.; BOITEUX, L.S. Identificación de fuentes genéticas con bajo nivel de síntomas inducidos por Tomato chlorosis virus (ToCV) en germoplasma Solanum sección Lycopersicon. [Resumen] In: INIA (Instituto Nacional de Investigación Agropecuaria); Programa Nacional Producción Hortícola. Resúmenes. Jornada Mejoramiento Genético de Hortalizas: Ciencia y Tecnología para la producción y el consumidor, 2019, Salto, Uruguay. Trabajos de investigación relacionados al proyecto. Salto (UY): INIA, 2019. p. 28.Biblioteca(s): INIA Las Brujas. |
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7. | | SILVA, P.E.; RIET-CORREA, F.; COELHO, A.C.B.; ECHENIQUE, J.V.Z.; PEREIRA, C.M.; LIMA, M.; DIEL, D.G.; SCHILD, A.L. Identification of equine herpesvirus type 1 as cause of abortion in mares in Southern Brazil. (Communication). [Identificação do herpesvirus equino tipo 1 como causa de abortos em éguas no sul do Brasil]. (Comunicação) Arquivo Brasileiro de Medicina Veterinaria e Zootecnia, 2019, Volume 71, Issue 4, Pages 1421-1424. OPEN ACCESS. Doi: 10.1590/1678-4162-10430 Article history: Recebido em 20 de dezembro de 2017 / Aceito em 6 de outubro de 2018.Biblioteca(s): INIA Las Brujas. |
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8. | | GONZÁLEZ-ARCOS, M.; DE NORONHA FONSECA, M. E.; ARRUABARRENA, A.; LIMA, M. F.; MICHEREFF-FILHO, M.; MORIONES, E.; FERNÁNDEZ-MUÑOZ, R.; BOITEUX, L. S. Identification of genetic sources with attenuated Tomato chlorosis virus-induced symptoms in Solanum (section Lycopersicon) germplasm. Euphytica, 1 October 2018, vol. 214, Issue 10, Article number 178. Article history: Received 26 March 2018 // Accepted 04 September 2018 // First Online 22 September 2018.Biblioteca(s): INIA Las Brujas. |
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| Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
21/02/2014 |
Actualizado : |
11/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 1 |
Autor : |
TERRA, J.A.; SHAW, J.; REEVES, D. W.; RAPER, R.L.; VAN SANTEN, E.; SCHWAB, E.B.; MASK, P.L. |
Afiliación : |
JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Soil management and landscape variability affects field-scale cotton productivity. |
Fecha de publicación : |
2006 |
Fuente / Imprenta : |
Soil Science Society of America Journal, 2006, v.70 (1), p. 98-107. |
ISSN : |
0361-5995 |
DOI : |
10.2136/sssaj2005.0179 |
Idioma : |
Inglés |
Notas : |
Artilce history: Received 8 June 2005 // Published Jan. 2006. |
Contenido : |
A better understanding of interactions between soil management and landscape variability and their effects on cotton (Gossypium hirsutum L.) productivity is needed for precision management. We assessed management practices and landscape variability effects on seed cotton yield in a 9-ha, Alabama field (Typic and Aquic Paleudults) during 2001–2003. We hypothesize that landscapes have major effects on cotton productivity, but these effects vary based on management and climate. Treatments were established in replicated strips traversing the landscape in a corn (Zea mays L.)–cotton rotation.
Treatments included a conventional system with or without 10 Mg ha21 yr21 dairy manure (CTmanure or CT), and a conservation system with and without manure (NTmanure or NT). Conventional systems consisted of chisel plowing/disking 1 in-row subsoiling without cover crops. Conservation systems combined no surface tillage with in-row subsoiling and winter cover crops. A soil survey, topographic survey, and interpolated surfaces of soil electrical conductivity (EC), soil organic carbon (SOC), and surface soil texture were used to delineate five zones using fuzzy k-means clustering. Overall (2001–2003), conservation systems improved cotton yield compared with conventional systems (2710 vs. 2380 kg ha21 ); neither manure nor treatment 3 year interactions were significant. The conservation system was more
productive than the conventional system in 87% of the cluster 3 year combinations. Slope, EC, SOC, and clay content were correlated with yield in all treatments. Soil and terrain attributes explained 16 to 64% of yield variation, however, their significance fluctuated between years and treatments. In dry years, factor analyses suggested variables related with soil quality and field-scale water dynamics had greater impacts on CT yields than NT yields. Our results indicate that management zones developed using relatively static soil-landscape data are relatively more suitable for conservation systems, and these zones are affected by soil management. In addition, the impact of NT on yields is most apparent on degraded soils in dry years. MenosA better understanding of interactions between soil management and landscape variability and their effects on cotton (Gossypium hirsutum L.) productivity is needed for precision management. We assessed management practices and landscape variability effects on seed cotton yield in a 9-ha, Alabama field (Typic and Aquic Paleudults) during 2001–2003. We hypothesize that landscapes have major effects on cotton productivity, but these effects vary based on management and climate. Treatments were established in replicated strips traversing the landscape in a corn (Zea mays L.)–cotton rotation.
Treatments included a conventional system with or without 10 Mg ha21 yr21 dairy manure (CTmanure or CT), and a conservation system with and without manure (NTmanure or NT). Conventional systems consisted of chisel plowing/disking 1 in-row subsoiling without cover crops. Conservation systems combined no surface tillage with in-row subsoiling and winter cover crops. A soil survey, topographic survey, and interpolated surfaces of soil electrical conductivity (EC), soil organic carbon (SOC), and surface soil texture were used to delineate five zones using fuzzy k-means clustering. Overall (2001–2003), conservation systems improved cotton yield compared with conventional systems (2710 vs. 2380 kg ha21 ); neither manure nor treatment 3 year interactions were significant. The conservation system was more
productive than the conventional system in 87% of the cluster 3 year combinations. Slope, EC, S... Presentar Todo |
Thesagro : |
ALGODON; SUELOS. |
Asunto categoría : |
P36 Erosión conservación y recuperación del suelo |
Marc : |
LEADER 02913naa a2200253 a 4500 001 1032797 005 2019-10-11 008 2006 bl uuuu u00u1 u #d 022 $a0361-5995 024 7 $a10.2136/sssaj2005.0179$2DOI 100 1 $aTERRA, J.A. 245 $aSoil management and landscape variability affects field-scale cotton productivity.$h[electronic resource] 260 $c2006 500 $aArtilce history: Received 8 June 2005 // Published Jan. 2006. 520 $aA better understanding of interactions between soil management and landscape variability and their effects on cotton (Gossypium hirsutum L.) productivity is needed for precision management. We assessed management practices and landscape variability effects on seed cotton yield in a 9-ha, Alabama field (Typic and Aquic Paleudults) during 2001–2003. We hypothesize that landscapes have major effects on cotton productivity, but these effects vary based on management and climate. Treatments were established in replicated strips traversing the landscape in a corn (Zea mays L.)–cotton rotation. Treatments included a conventional system with or without 10 Mg ha21 yr21 dairy manure (CTmanure or CT), and a conservation system with and without manure (NTmanure or NT). Conventional systems consisted of chisel plowing/disking 1 in-row subsoiling without cover crops. Conservation systems combined no surface tillage with in-row subsoiling and winter cover crops. A soil survey, topographic survey, and interpolated surfaces of soil electrical conductivity (EC), soil organic carbon (SOC), and surface soil texture were used to delineate five zones using fuzzy k-means clustering. Overall (2001–2003), conservation systems improved cotton yield compared with conventional systems (2710 vs. 2380 kg ha21 ); neither manure nor treatment 3 year interactions were significant. The conservation system was more productive than the conventional system in 87% of the cluster 3 year combinations. Slope, EC, SOC, and clay content were correlated with yield in all treatments. Soil and terrain attributes explained 16 to 64% of yield variation, however, their significance fluctuated between years and treatments. In dry years, factor analyses suggested variables related with soil quality and field-scale water dynamics had greater impacts on CT yields than NT yields. Our results indicate that management zones developed using relatively static soil-landscape data are relatively more suitable for conservation systems, and these zones are affected by soil management. In addition, the impact of NT on yields is most apparent on degraded soils in dry years. 650 $aALGODON 650 $aSUELOS 700 1 $aSHAW, J. 700 1 $aREEVES, D. W. 700 1 $aRAPER, R.L. 700 1 $aVAN SANTEN, E. 700 1 $aSCHWAB, E.B. 700 1 $aMASK, P.L. 773 $tSoil Science Society of America Journal, 2006$gv.70 (1), p. 98-107.
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