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| Registros recuperados : 19 | |
| 4. |  | CARRACELAS, G.; GUILPART, N.; GRASSINI, P.; CASSMAN, K. Determinación del potencial y de la brecha de rendimiento en los sistemas de arroz en Uruguay. ln: JORNADA ANUAL ARROZ, 2016, INIA TREINTA Y TRES, TREINTA Y TRES, UY. Arroz: resultados experimentales 2015-2016. Treinta y Tres, (Uruguay): INIA, 2016. Cap. 2, p. 5-8. (INIA, Serie Actividades de Difusión; 765) GYGA: Globlal Yield Gap Atlas.| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 5. | | CARRACELAS, G.; GUILPART, N.; GRASSINI, P.; CASSMAN, K.G. Determinación del potencial y brecha de rendimiento en los sistemas de arroz en Uruguay. [Presentación oral]. In: Presentación resultados experimentales de arroz, 16 Agosto, Artigas; 17 Agosto, Tacuarembó (UY). INIA, University of Nebraska Lincoln, Global Yield Gap Atlas, 2016.| Biblioteca(s): INIA Tacuarembó. |
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| 11. | | CARRACELAS, G.; GUILPART, N.; GRASSINI, P.; ZORRILLA DE SAN MARTÍN, G.; CASSMAN, K.G. Análisis de potencial y brecha de rendimiento en los sistemas de arroz irrigado en Uruguay y otros países. ln: Congresso Brasileiro de Arroz Irrigado, 11., 13-16 agosto, Camboriú, Brasil, 2019. 17 p.| Biblioteca(s): INIA Tacuarembó. |
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| 13. | | CARRACELAS, G.; GUILPART, N.; GRASSINI, P.; ZORRILLA DE SAN MARTÍN, G.; CASSMAN, K. Yield gap analysis of irrigated rice in Uruguay and comparison with other rice producing countries. [Resumen]. ln: Congresso Brasileiro de Arroz Irrigado, 11., 13-16 agosto, Camboriú, Brasil, 2019. 4 p.| Biblioteca(s): INIA Tacuarembó. |
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| 14. | | CARRACELAS, G.; GRASSINI, P.; GUILPART, N.; CASSMAN, K.; ZORRILLA DE SAN MARTÍN, G. Yield gap analysis and prognosis of yield increase of irrigated rice in Uruguay. [Abstract]. In: Rice Technical Working Group, 37, 2018, Proceedings. Long Beach, California (USA): Rice Technical Working Group, 2018. p. 131-132.| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 15. | | CARRACELAS, G.; GUILPART, N.; GRASSINI, P.; CASSMAN, K.G.; ZORRILLA DE SAN MARTÍN, G. Yield gaps and yield increase of irrigated rice in Uruguay. [Presentación oral]. In: Rice Technical Working Group, 37, 2018, Proceedings. Long Beach, California (USA): Rice Technical Working Group, 2018.| Biblioteca(s): INIA Tacuarembó. |
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| 16. | | CARRACELAS, G.; GUILPART, N.; CASSMAN, K.; GRASSINI, P.; ZORRILLA DE SAN MARTÍN, G. Yield potential and Yield gaps of irrigated rice in Uruguay and other rice producing countries. In: International Temperate Rice Conference, 6-9 de marzo, Griffith, NSW, Australia, 2017. 7 p.| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 17. | | CARRACELAS, G.; GUILPART, N.; GRASSINI, P.; CASSMAN, K.G.; ZORRILLA DE SAN MARTÍN, G. Yield potential and yield gaps of irrigated rice in Uruguay and other rice producing countries. [Presentación oral]. In: International Temperate Rice Conference, 6-9 de marzo, Griffith, NSW, Australia, 2017.| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 18. | | YUAN, S.; LINQUIST, B.; WILSON, L.; CASSMAN, K.; STUART, A.; PEDE, V.; MIRO, B.; SAITO, K.; AGUSTIANI, N.; ARISTYA, V.; KRISNADI, L.; ZANON, A.; HEINEMANN, A.; CARRACELAS, G.; SUBASH, N.; BRAHMANAND, P.; LI, T.; PENG, S.; GRASSINI, P. A roadmap towards sustainable intensification for a larger global rice bowl Research Square, 2021. DOI: https://doi.org/10.21203/rs.3.rs-401904/v1 Acknowledgements: We would like to thank Dr. Russell Ford (former Head of Agronomic R&D at Sunrice) for providing data for rice in Australia and Dr. P.A.J. van Oort for performing the simulations of yield potential for African countries....| Biblioteca(s): INIA Tacuarembó. |
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| 19. | | YUAN, S.; LINQUIST, B. A.; WILSON, L. T.; CASSMAN, K. G.; STUART, A. M.; PEDE, V.; SAITO, K.; AGUSTIANI, N.; ARISTYA, V. E.; KRISNADI, L. Y.; ZANON, A.J.; HEINEMANN, A. B.; CARRACELAS, G.; SUBASH, N.; BRAGMANAND, P. S.; LI, T.; PENG, S.; GRASSINI, P. Sustainable intensification for a larger global rice bowl. Nature Communications, December 2021, Article number 7163. OPEN ACCESS. doi: https://doi.org/10.1038/s41467-021-27424-z 11 p. Article history: Received: 7 April 2021; Accepted: 17 November 2021; Published online 09 December 2021.
Correspondence author: pgrassini2@unl.edu; speng@mail.hzau.edu.cn| Biblioteca(s): INIA Treinta y Tres. |
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| Registros recuperados : 19 | |
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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 : |
09/09/2014 |
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Actualizado : |
19/09/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
LEONI, C.; TER BRAAK, C. J. F.; GILSANZ, J.C.; DOGLIOTTI, S.; ROSSING, W.A.H.; VAN BRUGGEN, A.H.C. |
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Afiliación : |
CAROLINA LEONI VELAZCO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; JUAN CARLOS GILSANZ MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO DOGLIOTTI MORO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Sclerotium rolfsii dynamics in soil as affected by crop sequences. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Applied Soil Ecology, 2014, v.75, p.95-105. |
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ISSN : |
0929-1393 |
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DOI : |
http://dx.doi.org/10.1016/j.apsoil.2013.11.002 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 13 June 2013 // Received in revised form 11 October 2013 // Accepted 3 November 2013. |
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Contenido : |
ABSTRACT.
Crop rotation has been used for the management of soilborne diseases for centuries, but has not often been planned based on scientific knowledge. Our objective was to generate information on Sclerotium rolfsii dynamics under different crop or intercrop activities, and design and test a research approach where simple experiments and the use of models are combined to explore crop sequences that minimize Southern blight incidence.The effect of seventeen green manure (GM) amendments on sclerotia dynamics was analyzed in greenhouse and field plot experiments during two years. The relative densities of viable sclerotia 90 days after winter GM (WGM) incorporation were generally lower than after summer GM (SGM) incorporation, with average recovery values of 60% and 61% for WGM in the field, 66% and 43% for WGM in the greenhouse, and 162% to 91% for SGM in the greenhouse, in 2009 and 2010, respectively. Sclerotia survival on day d after GM amendment was described by the model Sf=Si×exp(-b×d), relating initial (Si) and final (Sf) sclerotia densities. Relative decay rates of the sclerotia (b) in SGM amended soil were largest for alfalfa (0.0077±0.0031day-1) and sudangrass (0.0072±0.0030day-1). In WGM amended soil, the largest b values were for oat (0.0096±0.0024day-1), wheat (0.0090±0.0024day-1) and alfalfa (0.0087±0.0023day-1).The effect of three cropping sequences (sweet pepper-fallow, sweet pepper-black oat and sweet pepper-onion) on sclerotia dynamics was analyzed in microplot experiments, and the data were used to calibrate the model Pf=Pi/(?+?Pi), relating initial (Pi) and final (Pf) sclerotia densities. Median values for the relative rate of population increase at low Pi (1/?, dimension less) and the asymptote (1/?, number of viable sclerotia in 100g of dry soil) were 8.22 and 4.17 for black oat (BO), 1.13 and 8.64 for onion (O), and 6.26 and 17.93 for sweet pepper (SwP).By concatenating the two models, sclerotia population dynamics under several crop sequences were simulated. At steady state, the sequence SwP-O-Fallow-BO resulted in the lowest long-term sclerotia density (7.09. sclerotia/100. g soil), and SwP-Fallow in the highest (17.89. sclerotia/100. g soil). The developed methodology facilitates the selection of a limited number of rotation options to be tested in farmers' fields.
© 2013 Elsevier B.V. MenosABSTRACT.
Crop rotation has been used for the management of soilborne diseases for centuries, but has not often been planned based on scientific knowledge. Our objective was to generate information on Sclerotium rolfsii dynamics under different crop or intercrop activities, and design and test a research approach where simple experiments and the use of models are combined to explore crop sequences that minimize Southern blight incidence.The effect of seventeen green manure (GM) amendments on sclerotia dynamics was analyzed in greenhouse and field plot experiments during two years. The relative densities of viable sclerotia 90 days after winter GM (WGM) incorporation were generally lower than after summer GM (SGM) incorporation, with average recovery values of 60% and 61% for WGM in the field, 66% and 43% for WGM in the greenhouse, and 162% to 91% for SGM in the greenhouse, in 2009 and 2010, respectively. Sclerotia survival on day d after GM amendment was described by the model Sf=Si×exp(-b×d), relating initial (Si) and final (Sf) sclerotia densities. Relative decay rates of the sclerotia (b) in SGM amended soil were largest for alfalfa (0.0077±0.0031day-1) and sudangrass (0.0072±0.0030day-1). In WGM amended soil, the largest b values were for oat (0.0096±0.0024day-1), wheat (0.0090±0.0024day-1) and alfalfa (0.0087±0.0023day-1).The effect of three cropping sequences (sweet pepper-fallow, sweet pepper-black oat and sweet pepper-onion) on sclerotia dynamics was analyzed in mic... Presentar Todo |
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Palabras claves : |
CROP ROTATION; GREEN MANURE AMENDMENT; POPULATION DYNAMICS; SIMULATION MODEL. |
|
Thesagro : |
ABONOS VERDES; DINÁMICA DE LA POBLACIÓN; MODELOS DE SIMULACIÓN; ROTACIÓN DE CULTIVOS; SCLEROTIUM ROLFSII. |
|
Asunto categoría : |
A50 Investigación agraria |
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Marc : |
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022 $a0929-1393
024 7 $ahttp://dx.doi.org/10.1016/j.apsoil.2013.11.002$2DOI
100 1 $aLEONI, C.
245 $aSclerotium rolfsii dynamics in soil as affected by crop sequences.$h[electronic resource]
260 $c2014
500 $aArticle history: Received 13 June 2013 // Received in revised form 11 October 2013 // Accepted 3 November 2013.
520 $aABSTRACT. Crop rotation has been used for the management of soilborne diseases for centuries, but has not often been planned based on scientific knowledge. Our objective was to generate information on Sclerotium rolfsii dynamics under different crop or intercrop activities, and design and test a research approach where simple experiments and the use of models are combined to explore crop sequences that minimize Southern blight incidence.The effect of seventeen green manure (GM) amendments on sclerotia dynamics was analyzed in greenhouse and field plot experiments during two years. The relative densities of viable sclerotia 90 days after winter GM (WGM) incorporation were generally lower than after summer GM (SGM) incorporation, with average recovery values of 60% and 61% for WGM in the field, 66% and 43% for WGM in the greenhouse, and 162% to 91% for SGM in the greenhouse, in 2009 and 2010, respectively. Sclerotia survival on day d after GM amendment was described by the model Sf=Si×exp(-b×d), relating initial (Si) and final (Sf) sclerotia densities. Relative decay rates of the sclerotia (b) in SGM amended soil were largest for alfalfa (0.0077±0.0031day-1) and sudangrass (0.0072±0.0030day-1). In WGM amended soil, the largest b values were for oat (0.0096±0.0024day-1), wheat (0.0090±0.0024day-1) and alfalfa (0.0087±0.0023day-1).The effect of three cropping sequences (sweet pepper-fallow, sweet pepper-black oat and sweet pepper-onion) on sclerotia dynamics was analyzed in microplot experiments, and the data were used to calibrate the model Pf=Pi/(?+?Pi), relating initial (Pi) and final (Pf) sclerotia densities. Median values for the relative rate of population increase at low Pi (1/?, dimension less) and the asymptote (1/?, number of viable sclerotia in 100g of dry soil) were 8.22 and 4.17 for black oat (BO), 1.13 and 8.64 for onion (O), and 6.26 and 17.93 for sweet pepper (SwP).By concatenating the two models, sclerotia population dynamics under several crop sequences were simulated. At steady state, the sequence SwP-O-Fallow-BO resulted in the lowest long-term sclerotia density (7.09. sclerotia/100. g soil), and SwP-Fallow in the highest (17.89. sclerotia/100. g soil). The developed methodology facilitates the selection of a limited number of rotation options to be tested in farmers' fields. © 2013 Elsevier B.V.
650 $aABONOS VERDES
650 $aDINÁMICA DE LA POBLACIÓN
650 $aMODELOS DE SIMULACIÓN
650 $aROTACIÓN DE CULTIVOS
650 $aSCLEROTIUM ROLFSII
653 $aCROP ROTATION
653 $aGREEN MANURE AMENDMENT
653 $aPOPULATION DYNAMICS
653 $aSIMULATION MODEL
700 1 $aTER BRAAK, C. J. F.
700 1 $aGILSANZ, J.C.
700 1 $aDOGLIOTTI, S.
700 1 $aROSSING, W.A.H.
700 1 $aVAN BRUGGEN, A.H.C.
773 $tApplied Soil Ecology, 2014$gv.75, p.95-105.
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