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 | Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó; INIA Treinta y Tres. |
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Fecha : |
23/11/2021 |
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Actualizado : |
18/08/2022 |
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Tipo de producción científica : |
Libros |
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Autor : |
MEUS, L. D.; SILVA, M. R. DA; RIBAS, G. G.; ZANON, A. J.; ROSSATO, I. G.; PEREIRA, V. F.; PILECCO, I. B.; RIBEIRO, B. SAN MARTIN ROLIM; SOUZA, P. M. DE; NASCIMENTO, M. DE F. DO.; POERSCH, A. H.; DUARTE JUNIOR, A. J.; QUINTERO, C. E.; CARRACELAS, G.; CARMONA, L. DE C.; STRECK, N. A. |
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Afiliación : |
LORENZO DALCIN MEUS, Universidade Federal de Santa Maria (UFSM).; MICHEL ROCHA DA SILVA; GIOVANA GHISLENI RIBAS; ALENCAR JUNIOR ZANON; IORAN GUEDES ROSSATO; VLADISON FOGLIATO PEREIRA; ISABELA BULEGON PILECCO; BRUNA SAN MARTIN ROLIM RIBEIRO; PABLO MAZZUCO DE SOUZA; MOISES DE FREITAS DO NASCIMENTO; ABDERSON HAAS POERSCH; ARY JOSÉ DUARTE JUNIOR; CÉSAR EUGENIO QUINTERO; JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCIANO DE CAMPOS CARMONA; NEREU AUGUSTO STRECK. |
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Título : |
Ecofisiología del arroz buscando altos rendimientos. [Ecophysiology of rice for reaching high yield]. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Santa Maria, RS (Brasil): FieldCrops, 2020. 312 p. |
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ISBN : |
978-65-992356-4-1 |
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Idioma : |
Español |
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Contenido : |
Lograr altos rendimientos y rentabilidad en el cultivo del arroz, conocer la ecofisiología de los cultivares actualmente sembrados, el sistema de producción y las particularidades de cada zona de producción, será la línea divisoria entre una cosecha exitosa y una cosecha insatisfactoria. En este sentido, a través de la cooperación y unión de universidades e instituciones públicas de investigación y extensión rural en Brasil, Argentina, Uruguay, Colombia y Estados Unidos, se buscó resumir claramente los conceptos y prácticas de ecofisiología y manejo del arroz, combinados con agricultura digital (4.0) y la infinidad de posibilidades que abren. |
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Palabras claves : |
ARROZ; CULTIVO; ECOFISIOLOGÍA DEL CULTIVO. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 01642nam a2200337 a 4500
001 1062545
005 2022-08-18
008 2020 bl uuuu u00u1 u #d
020 $a978-65-992356-4-1
100 1 $aMEUS, L. D.
245 $aEcofisiología del arroz buscando altos rendimientos. [Ecophysiology of rice for reaching high yield].
260 $aSanta Maria, RS (Brasil): FieldCrops, 2020. 312 p.$c2020
520 $aLograr altos rendimientos y rentabilidad en el cultivo del arroz, conocer la ecofisiología de los cultivares actualmente sembrados, el sistema de producción y las particularidades de cada zona de producción, será la línea divisoria entre una cosecha exitosa y una cosecha insatisfactoria. En este sentido, a través de la cooperación y unión de universidades e instituciones públicas de investigación y extensión rural en Brasil, Argentina, Uruguay, Colombia y Estados Unidos, se buscó resumir claramente los conceptos y prácticas de ecofisiología y manejo del arroz, combinados con agricultura digital (4.0) y la infinidad de posibilidades que abren.
653 $aARROZ
653 $aCULTIVO
653 $aECOFISIOLOGÍA DEL CULTIVO
700 1 $aSILVA, M. R. DA
700 1 $aRIBAS, G. G.
700 1 $aZANON, A. J.
700 1 $aROSSATO, I. G.
700 1 $aPEREIRA, V. F.
700 1 $aPILECCO, I. B.
700 1 $aRIBEIRO, B. SAN MARTIN ROLIM
700 1 $aSOUZA, P. M. DE
700 1 $aNASCIMENTO, M. DE F. DO.
700 1 $aPOERSCH, A. H.
700 1 $aDUARTE JUNIOR, A. J.
700 1 $aQUINTERO, C. E.
700 1 $aCARRACELAS, G.
700 1 $aCARMONA, L. DE C.
700 1 $aSTRECK, N. A.
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Registro original : |
INIA Tacuarembó (TBO) |
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| Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
18/09/2014 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
ROEL, A.; PLANT, R.E. |
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Afiliación : |
ALVARO ROEL DELLAZOPPA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Spatiotemporal analysis of rice yield variability in two California fields |
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Fecha de publicación : |
2004 |
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Fuente / Imprenta : |
Agronomy Journal, 2004, v. 96, no. 1, p. 77-90 |
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ISSN : |
0002-1962 |
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DOI : |
10.2134/agronj2004.7700 |
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Idioma : |
Inglés |
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Contenido : |
Currently, little is known about the spatial and temporal variability of rice (Oryza sativa L.) yield patterns. This information is needed before implementing any site-specific management strategy. The objective of this research was to characterize the spatial and temporal yield variability of rice grown in commercial fields in California. Rice cultivars M-202 and Koshihikari were grown and managed by a cooperating farmer, who collected yield monitor data over a 4-yr period. Alternative methods of data quality analysis were applied to the data. To evaluate temporal variability, yields from different years must be placed on a common grid. The appropriate size for these grids was tested. Large-scale spatial structure was determined using median polish while small-scale spatial structure was evaluated by computing variograms of the yield residuals after subtracting the trends. Temporal variability was determined using two approaches: (i) computation of the variance among years of the original, trend, and residual yield values at fixed points in the field and (ii) cluster analysis of the standardized trend yield values. Results from the study showed that the grid density necessary to capture the spatial variability depended on site and year. Trend surface spatial behaviors depended on year, indicating a lack of temporal stability. Variograms showed strong spatial structure of yield residuals. Cluster analysis reduced the considerable complexity in a sequence of yield maps of these fields to a few general patterns of variations among years. MenosCurrently, little is known about the spatial and temporal variability of rice (Oryza sativa L.) yield patterns. This information is needed before implementing any site-specific management strategy. The objective of this research was to characterize the spatial and temporal yield variability of rice grown in commercial fields in California. Rice cultivars M-202 and Koshihikari were grown and managed by a cooperating farmer, who collected yield monitor data over a 4-yr period. Alternative methods of data quality analysis were applied to the data. To evaluate temporal variability, yields from different years must be placed on a common grid. The appropriate size for these grids was tested. Large-scale spatial structure was determined using median polish while small-scale spatial structure was evaluated by computing variograms of the yield residuals after subtracting the trends. Temporal variability was determined using two approaches: (i) computation of the variance among years of the original, trend, and residual yield values at fixed points in the field and (ii) cluster analysis of the standardized trend yield values. Results from the study showed that the grid density necessary to capture the spatial variability depended on site and year. Trend surface spatial behaviors depended on year, indicating a lack of temporal stability. Variograms showed strong spatial structure of yield residuals. Cluster analysis reduced the considerable complexity in a sequence of yield maps of the... Presentar Todo |
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Palabras claves : |
AGRICULTURA DE PRESICION; ARROZ. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02085naa a2200181 a 4500
001 1050379
005 2019-10-11
008 2004 bl uuuu u00u1 u #d
022 $a0002-1962
024 7 $a10.2134/agronj2004.7700$2DOI
100 1 $aROEL, A.
245 $aSpatiotemporal analysis of rice yield variability in two California fields$h[electronic resource]
260 $c2004
520 $aCurrently, little is known about the spatial and temporal variability of rice (Oryza sativa L.) yield patterns. This information is needed before implementing any site-specific management strategy. The objective of this research was to characterize the spatial and temporal yield variability of rice grown in commercial fields in California. Rice cultivars M-202 and Koshihikari were grown and managed by a cooperating farmer, who collected yield monitor data over a 4-yr period. Alternative methods of data quality analysis were applied to the data. To evaluate temporal variability, yields from different years must be placed on a common grid. The appropriate size for these grids was tested. Large-scale spatial structure was determined using median polish while small-scale spatial structure was evaluated by computing variograms of the yield residuals after subtracting the trends. Temporal variability was determined using two approaches: (i) computation of the variance among years of the original, trend, and residual yield values at fixed points in the field and (ii) cluster analysis of the standardized trend yield values. Results from the study showed that the grid density necessary to capture the spatial variability depended on site and year. Trend surface spatial behaviors depended on year, indicating a lack of temporal stability. Variograms showed strong spatial structure of yield residuals. Cluster analysis reduced the considerable complexity in a sequence of yield maps of these fields to a few general patterns of variations among years.
653 $aAGRICULTURA DE PRESICION
653 $aARROZ
700 1 $aPLANT, R.E.
773 $tAgronomy Journal, 2004$gv. 96, no. 1, p. 77-90
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