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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
21/02/2014 |
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Actualizado : |
22/02/2014 |
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Autor : |
Ceretta, S. ; Castro, M. ; Vilaro, D. |
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Título : |
Evaluación de cultivares de Colza : zafra 1992-93 |
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Fecha de publicación : |
1993 |
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Fuente / Imprenta : |
ln: Jornada Cultivos de Invierno, 1993 abr : La Estanzuela [Memorias]. Montevideo (Uruguay): INIA, 1993. |
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Páginas : |
p81-84 |
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Serie : |
Jornada Cultivos de Invierno (INIA) |
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Idioma : |
Español |
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Thesagro : |
BRASSICA NAPUS; ENSAYOS DE VARIEDADES. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 00556naa a2200181 a 4500
001 1046040
005 2014-02-22
008 1993 bl uuuu u00u1 u #d
100 1 $aCERETTA, S.
245 $aEvaluación de cultivares de Colza$bzafra 1992-93
260 $c1993
300 $ap81-84
490 $aJornada Cultivos de Invierno (INIA)
650 $aBRASSICA NAPUS
650 $aENSAYOS DE VARIEDADES
700 1 $aCASTRO, M.
700 1 $aVILARO, D.
773 $tln: Jornada Cultivos de Invierno, 1993 abr : La Estanzuela [Memorias]. Montevideo (Uruguay): INIA, 1993.
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Registro original : |
INIA La Estanzuela (LE) |
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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 : |
21/02/2014 |
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Actualizado : |
03/10/2019 |
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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 : |
ROEL, A.; FIRPO, H.; PLANT, R.E. |
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Afiliación : |
ROEL DELLAZOPPA, ÁLVARO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Why do some farmers get higher yields? Multivariate analysis of a group of Uruguayan rice farmers. |
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Fecha de publicación : |
2007 |
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Fuente / Imprenta : |
Computers and Electronics in Agriculture, 2007, v. 58, no. 1, p. 78-92. |
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ISSN : |
0168-1699 |
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DOI : |
10.1016/j.compag.2006.10.001 |
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Idioma : |
Inglés |
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Contenido : |
Abtract:
The technologies of precision agriculture were developed for application to site-specific crop management. Some of them require a high capital outlay, but two key component technologies, spatial analysis and global positioning systems, may both be obtained at relatively low cost. These technologies may be used profitably to improve crop management practices without the expenditures necessary for a full site-specific management program. In this paper we use exploratory spatial data analysis to study georeferenced rice production data collected on the farms of a group of Uruguayan rice growers. The objective was to identify the management practices that most distinguish farmers producing high yields from those producing low yields. A key challenge was to distinguish those differences in farmers? management practices that were due to their different approaches to farming from those that were due to their responses to differences in the land quality of their individual fields. Using a combination of classification and regression trees and graphical analysis, the most distinguishing factors were identified to be early planting, adequate fertilization, and effective irrigation. |
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Thesagro : |
ARROZ; MANEJO; RENDIMIENTO; URUGUAY. |
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Asunto categoría : |
F06 Riego |
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Marc : |
LEADER 01837naa a2200217 a 4500
001 1032835
005 2019-10-03
008 2007 bl uuuu u00u1 u #d
022 $a0168-1699
024 7 $a10.1016/j.compag.2006.10.001$2DOI
100 1 $aROEL, A.
245 $aWhy do some farmers get higher yields? Multivariate analysis of a group of Uruguayan rice farmers.$h[electronic resource]
260 $c2007
520 $aAbtract: The technologies of precision agriculture were developed for application to site-specific crop management. Some of them require a high capital outlay, but two key component technologies, spatial analysis and global positioning systems, may both be obtained at relatively low cost. These technologies may be used profitably to improve crop management practices without the expenditures necessary for a full site-specific management program. In this paper we use exploratory spatial data analysis to study georeferenced rice production data collected on the farms of a group of Uruguayan rice growers. The objective was to identify the management practices that most distinguish farmers producing high yields from those producing low yields. A key challenge was to distinguish those differences in farmers? management practices that were due to their different approaches to farming from those that were due to their responses to differences in the land quality of their individual fields. Using a combination of classification and regression trees and graphical analysis, the most distinguishing factors were identified to be early planting, adequate fertilization, and effective irrigation.
650 $aARROZ
650 $aMANEJO
650 $aRENDIMIENTO
650 $aURUGUAY
700 1 $aFIRPO, H.
700 1 $aPLANT, R.E.
773 $tComputers and Electronics in Agriculture, 2007$gv. 58, no. 1, p. 78-92.
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INIA Treinta y Tres (TT) |
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