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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
18/09/2014 |
Actualizado : |
11/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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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INIA Treinta y Tres (TT) |
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha actual : |
21/02/2014 |
Actualizado : |
04/09/2018 |
Tipo de producción científica : |
Documentos |
Autor : |
BLANCO, P.H.; PÉREZ DE VIDA, F.; CARRACELAS, G. |
Afiliación : |
PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Mejoramiento genetico: evaluacón final. Cinco Sauces, Tacuarembó. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
ln: DÍA DE CAMPO - ARROZ, 11 FEBRERO, PASO FARÍAS, ARTIGAS; 12 FEBRERO, CINCO SAUCES, TACUAREMBÓ (UY), 2014. Día de campo arroz: Zafra 2013 - 2014. Montevideo: INIA, 2014. |
Páginas : |
p. 44 |
Idioma : |
Español |
Notas : |
"Instituto Nacional de Investigación Agropecuaria, Uruguay (INIA); Programa Nacional de Arroz" |
Palabras claves : |
CHILCA; GRAMILLA; RAIGRAS. |
Thesagro : |
CYNODON DACTYLON; MEJORAMIENTO GENETICO. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5069/1/Dia-de-Campo-2014-arroz.pdf
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Marc : |
LEADER 00769nam a2200205 a 4500 001 1027473 005 2018-09-04 008 2014 bl uuuu u0uu1 u #d 100 1 $aBLANCO, P.H. 245 $aMejoramiento genetico$bevaluacón final. Cinco Sauces, Tacuarembó. 260 $aln: DÍA DE CAMPO - ARROZ, 11 FEBRERO, PASO FARÍAS, ARTIGAS; 12 FEBRERO, CINCO SAUCES, TACUAREMBÓ (UY), 2014. Día de campo arroz: Zafra 2013 - 2014. Montevideo: INIA$c2014 300 $ap. 44 500 $a"Instituto Nacional de Investigación Agropecuaria, Uruguay (INIA); Programa Nacional de Arroz" 650 $aCYNODON DACTYLON 650 $aMEJORAMIENTO GENETICO 653 $aCHILCA 653 $aGRAMILLA 653 $aRAIGRAS 700 1 $aPÉREZ DE VIDA, F. 700 1 $aCARRACELAS, G.
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