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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
03/07/2018 |
Tipo de producción científica : |
Documentos |
Autor : |
VILARÓ, F.; RODRÍGUEZ, G.; VICENTE, E.; PICOS, C. |
Afiliación : |
FRANCISCO LUIS VILARO PAREJA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO ROBERTO RODRÍGUEZ LAGOUTTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS ESTEBAN VICENTE CASTRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS PICOS ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Mejoramiento genético de boniato |
Fecha de publicación : |
1997 |
Fuente / Imprenta : |
In: INIA Las Brujas, Programa Nacional Producción Hortìcola. Resultados experimentales en boniato. Reunión técnica. Canelones (Uruguay): INIA, 1997. |
Páginas : |
p. 33-35 |
Serie : |
(INIA Serie Actividades de Difusión; 144) |
Idioma : |
Español |
Notas : |
INIA Las Brujas |
Thesagro : |
FITOMEJORAMIENTO; IPOMOEA BATATAS. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/10666/1/sad-144-p.-33-35.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/259/1/18429180808151436.pdf
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Marc : |
LEADER 00656naa a2200205 a 4500 001 1006817 005 2018-07-03 008 1997 bl uuuu u00u1 u #d 100 1 $aVILARÓ, F. 245 $aMejoramiento genético de boniato 260 $c1997 300 $ap. 33-35 490 $a(INIA Serie Actividades de Difusión; 144) 500 $aINIA Las Brujas 650 $aFITOMEJORAMIENTO 650 $aIPOMOEA BATATAS 700 1 $aRODRÍGUEZ, G. 700 1 $aVICENTE, E. 700 1 $aPICOS, C. 773 $tIn: INIA Las Brujas, Programa Nacional Producción Hortìcola. Resultados experimentales en boniato. Reunión técnica. Canelones (Uruguay): INIA, 1997.
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INIA Las Brujas (LB) |
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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 : |
18/09/2014 |
Actualizado : |
11/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 2 |
Autor : |
ROEL, A.; PLANT, R.E. |
Afiliación : |
ALVARO ROEL DELLAZOPPA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Spatiotemporal analysis of rice yield variability in two California fields |
Fecha de publicación : |
2004 |
Fuente / Imprenta : |
Agronomy Journal, 2004, v. 96, no. 1, p. 77-90 |
ISSN : |
0002-1962 |
DOI : |
10.2134/agronj2004.7700 |
Idioma : |
Inglés |
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 |
Palabras claves : |
AGRICULTURA DE PRESICION; ARROZ. |
Asunto categoría : |
F01 Cultivo |
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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