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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Treinta y Tres. |
Fecha : |
26/09/2017 |
Actualizado : |
25/10/2019 |
Tipo de producción científica : |
Documentos |
Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA), URUGUAY.; INASE (INSTITUTO NACIONAL DE SEMILLAS), URUGUAY. |
Título : |
Resultados Experimentales de la evaluación nacional de cultivares de Soja: período 2016. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
La Estanzuela (UY): INASE ; INIA, 2017. |
Páginas : |
81 p. |
Idioma : |
Español |
Notas : |
Editado por el Equipo de Evaluación de Cultivares Impreso por Unidad de Comunicación y Transferencia de Tecnología INIA La Estanzuela.
Convenio INASE-INIA. |
Contenido : |
EQUIPOS DE TRABAJO.
INIA.
Evaluación de Cultivares:
Ing. Agr. (Ph.D.) Marina Castro Coordinadora de Evaluación de Cultivares.
Ing. Agr. (M.Sc.) María José Cuitiño Ing. Agr. Santiago Manasliski Evaluación de Cultivos de Verano.
Téc. Sist. Int. Gan. Máximo Vera (hasta 31.Ene)- Téc. Agríc. Gan. Ximena Morales Asistentes de Investigación.
Valeria Cardozo - Beatriz Castro, Asistentes de Información y Procesamiento de datos.
Laboratorio de Calidad de Granos:
Q. F. (Ph.D.) Daniel Vázquez.
Protección Vegetal:
Lic. Biol. (Ph.D.) Silvina Stewart (Fitopatología) Téc. Lech. Marcelo Rodríguez (Fitopatología).
Unidad de Comunicación y Transferencia de Tecnología:
Ing. Agr. (M.Sc.) Ernesto Restaino - Amado Vergara (Asistente UCTT)
INASE.
Área Evaluación y Registro de Cultivares:
Ing. Agr. (M.Sc.) Gerardo Camps Gerente.
Ing. Agr. (M.Sc.) Virginia Olivieri Ing. Agr. (M.Sc.) Sebastián Moure Ing. Agr. (M.Sc.) Federico Boschi Ing. Agr. Constanza Tarán
Área Laboratorio de Calidad de Semillas:
Ph.D. Vanessa Sosa, Gerente.
Ing. Agr. Teresita Farrás. Fabián Makowski, Analista. Mónica Rojas, Analista. Laura Tellechea, Analista.
Área Administración.Daniel Almeida. |
Thesagro : |
EVALUACION CULTIVARES; SOJA. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/7309/1/PubSoja2016.pdf
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Marc : |
LEADER 01937nam a2200169 a 4500 001 1058913 005 2019-10-25 008 2017 bl uuuu u0uu1 u #d 100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA), URUGUAY. 245 $aResultados Experimentales de la evaluación nacional de cultivares de Soja$bperíodo 2016.$h[electronic resource] 260 $aLa Estanzuela (UY): INASE ; INIA$c2017 300 $a81 p. 500 $aEditado por el Equipo de Evaluación de Cultivares Impreso por Unidad de Comunicación y Transferencia de Tecnología INIA La Estanzuela. Convenio INASE-INIA. 520 $aEQUIPOS DE TRABAJO. INIA. Evaluación de Cultivares: Ing. Agr. (Ph.D.) Marina Castro Coordinadora de Evaluación de Cultivares. Ing. Agr. (M.Sc.) María José Cuitiño Ing. Agr. Santiago Manasliski Evaluación de Cultivos de Verano. Téc. Sist. Int. Gan. Máximo Vera (hasta 31.Ene)- Téc. Agríc. Gan. Ximena Morales Asistentes de Investigación. Valeria Cardozo - Beatriz Castro, Asistentes de Información y Procesamiento de datos. Laboratorio de Calidad de Granos: Q. F. (Ph.D.) Daniel Vázquez. Protección Vegetal: Lic. Biol. (Ph.D.) Silvina Stewart (Fitopatología) Téc. Lech. Marcelo Rodríguez (Fitopatología). Unidad de Comunicación y Transferencia de Tecnología: Ing. Agr. (M.Sc.) Ernesto Restaino - Amado Vergara (Asistente UCTT) INASE. Área Evaluación y Registro de Cultivares: Ing. Agr. (M.Sc.) Gerardo Camps Gerente. Ing. Agr. (M.Sc.) Virginia Olivieri Ing. Agr. (M.Sc.) Sebastián Moure Ing. Agr. (M.Sc.) Federico Boschi Ing. Agr. Constanza Tarán Área Laboratorio de Calidad de Semillas: Ph.D. Vanessa Sosa, Gerente. Ing. Agr. Teresita Farrás. Fabián Makowski, Analista. Mónica Rojas, Analista. Laura Tellechea, Analista. Área Administración.Daniel Almeida. 650 $aEVALUACION CULTIVARES 650 $aSOJA 700 1 $aINASE (INSTITUTO NACIONAL DE SEMILLAS), URUGUAY.
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INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Treinta y Tres. |
Fecha actual : |
06/10/2014 |
Actualizado : |
31/07/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Nacionales |
Circulación / Nivel : |
B - 2 |
Autor : |
JORGE, G.; PÉREZ BIDEGAIN, M.; TERRA, J.A.; SAWCHIK, J. |
Afiliación : |
JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JORGE SAWCHIK PINTOS, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
WEPP as a tool for enabling a more comprehensive analysis of the environmental impacts of soil erosion. |
Fecha de publicación : |
2012 |
Fuente / Imprenta : |
In: INTERNATIONAL SOIL TILLAGE RESEARCH ORGANIZATION. 19., SOCIEDAD URUGUAYA DE CIENCIA DEL SUELO, 4., 2012, Montevideo, UY. [Oral presentation]: paper no. 133. Montevideo, UY: ISTRO, 2012. |
Idioma : |
Español Inglés |
Notas : |
También publicado en: Agrociencia Uruguay, v. 16, n. especial, p. 268-273, 2012. |
Contenido : |
ABSTRACT.
Cropland area in Uruguay, mostly soybeans, increased 300% during the last decade due to expansion to new areas. Although no-tillage practices are generalized among farmers, soil erosion is still a major environmental and economic issue. A predictive tool as the Water Erosion Prediction Model Project (WEPP), based on soil processes, has never been used in Uruguay. The objective of this research was to evaluate the soil erosion impact of various managements of intensive agriculture on Mollisols of Uruguay, applying the WEPP erosion model. The model was fi rst adjusted and validated for annual erosion estimates of an Abruptic Argiudoll (Nash Sutcliffe (NS)= 0.81 and R2 = 0.89) and a
Vertic Argiudoll (NS= 0.86 and R2 = 0.90), and later applied to evaluate three Mollisols and one Vertisol with different soil managements. Treatments combined no tillage (NT) and reduced tillage (RT) with different crop rotations. Crop rotations were: continuous soybean (CS), soybean-wheat (SW), soybean-winter cover crop (S-Cover crop), cornsoybean-wheat-3/4 yr pasture (CSW-PPP/PPPP), and corn-soybean-wheat-soybean-wheat-3/4 yr pasture (CSWSWPPP/PPPP). Soil erosion under RT system or CS was always above 7Mg.ha-1 (T value). Pastures inclusion under NT showed values below 7 Mg.ha-1.WEPP simulated an average erosion rate below T for SW rotation with NT (100m; 3% slope) in three of the four soils studied. However, by varying the slope and the length of the hillslope, the range for which the average annual erosion remains below this level is limited (only 3% - 4%). Moreover, for those hillslopes
whose average annual erosion does not exceed the T value, there is still approximately a 25% probability that this may occur any given year. Our work highlights the potential of using WEPP in the development of criteria for assessing sustainability of soil management, alternative to T value of average annual erosion units, including risk analysis MenosABSTRACT.
Cropland area in Uruguay, mostly soybeans, increased 300% during the last decade due to expansion to new areas. Although no-tillage practices are generalized among farmers, soil erosion is still a major environmental and economic issue. A predictive tool as the Water Erosion Prediction Model Project (WEPP), based on soil processes, has never been used in Uruguay. The objective of this research was to evaluate the soil erosion impact of various managements of intensive agriculture on Mollisols of Uruguay, applying the WEPP erosion model. The model was fi rst adjusted and validated for annual erosion estimates of an Abruptic Argiudoll (Nash Sutcliffe (NS)= 0.81 and R2 = 0.89) and a
Vertic Argiudoll (NS= 0.86 and R2 = 0.90), and later applied to evaluate three Mollisols and one Vertisol with different soil managements. Treatments combined no tillage (NT) and reduced tillage (RT) with different crop rotations. Crop rotations were: continuous soybean (CS), soybean-wheat (SW), soybean-winter cover crop (S-Cover crop), cornsoybean-wheat-3/4 yr pasture (CSW-PPP/PPPP), and corn-soybean-wheat-soybean-wheat-3/4 yr pasture (CSWSWPPP/PPPP). Soil erosion under RT system or CS was always above 7Mg.ha-1 (T value). Pastures inclusion under NT showed values below 7 Mg.ha-1.WEPP simulated an average erosion rate below T for SW rotation with NT (100m; 3% slope) in three of the four soils studied. However, by varying the slope and the length of the hillslope, the range for which the a... Presentar Todo |
Palabras claves : |
WATER EROSION PREDICTION PROJECT MODEL; WEPP MODEL. |
Thesagro : |
EROSIÓN DEL SUELO; MODELOS; MODELOS DE PREDICCIÓN; URUGUAY; WATER EROSION PREDICTION PROJECT MODEL; WEPP MODEL. |
Asunto categoría : |
P36 Erosión conservación y recuperación del suelo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12187/1/Agrociencia-ISTRO-2012-2.-Gabriella-J..pdf
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Marc : |
LEADER 02940naa a2200265 a 4500 001 1050937 005 2019-07-31 008 2012 bl uuuu u00u1 u #d 100 1 $aJORGE, G. 245 $aWEPP as a tool for enabling a more comprehensive analysis of the environmental impacts of soil erosion. 260 $c2012 500 $aTambién publicado en: Agrociencia Uruguay, v. 16, n. especial, p. 268-273, 2012. 520 $aABSTRACT. Cropland area in Uruguay, mostly soybeans, increased 300% during the last decade due to expansion to new areas. Although no-tillage practices are generalized among farmers, soil erosion is still a major environmental and economic issue. A predictive tool as the Water Erosion Prediction Model Project (WEPP), based on soil processes, has never been used in Uruguay. The objective of this research was to evaluate the soil erosion impact of various managements of intensive agriculture on Mollisols of Uruguay, applying the WEPP erosion model. The model was fi rst adjusted and validated for annual erosion estimates of an Abruptic Argiudoll (Nash Sutcliffe (NS)= 0.81 and R2 = 0.89) and a Vertic Argiudoll (NS= 0.86 and R2 = 0.90), and later applied to evaluate three Mollisols and one Vertisol with different soil managements. Treatments combined no tillage (NT) and reduced tillage (RT) with different crop rotations. Crop rotations were: continuous soybean (CS), soybean-wheat (SW), soybean-winter cover crop (S-Cover crop), cornsoybean-wheat-3/4 yr pasture (CSW-PPP/PPPP), and corn-soybean-wheat-soybean-wheat-3/4 yr pasture (CSWSWPPP/PPPP). Soil erosion under RT system or CS was always above 7Mg.ha-1 (T value). Pastures inclusion under NT showed values below 7 Mg.ha-1.WEPP simulated an average erosion rate below T for SW rotation with NT (100m; 3% slope) in three of the four soils studied. However, by varying the slope and the length of the hillslope, the range for which the average annual erosion remains below this level is limited (only 3% - 4%). Moreover, for those hillslopes whose average annual erosion does not exceed the T value, there is still approximately a 25% probability that this may occur any given year. Our work highlights the potential of using WEPP in the development of criteria for assessing sustainability of soil management, alternative to T value of average annual erosion units, including risk analysis 650 $aEROSIÓN DEL SUELO 650 $aMODELOS 650 $aMODELOS DE PREDICCIÓN 650 $aURUGUAY 650 $aWATER EROSION PREDICTION PROJECT MODEL 650 $aWEPP MODEL 653 $aWATER EROSION PREDICTION PROJECT MODEL 653 $aWEPP MODEL 700 1 $aPÉREZ BIDEGAIN, M. 700 1 $aTERRA, J.A. 700 1 $aSAWCHIK, J. 773 $tIn: INTERNATIONAL SOIL TILLAGE RESEARCH ORGANIZATION. 19., SOCIEDAD URUGUAYA DE CIENCIA DEL SUELO, 4., 2012, Montevideo, UY. [Oral presentation]: paper no. 133. Montevideo, UY: ISTRO, 2012.
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