|
|
Registros recuperados : 235 | |
2. |  | BLANCO, P.H. Cultivares de calidad americana E5: Paso Farías, Artigas, 2018. In: INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); INASE (INSTITUTO NACIONAL DE SEMILLAS). Día de campo de arroz: 7 de febrero de 2018 - Zona Norte - Paso Farías - Artigas // 8 de febrero de 2018 - Zona Centro - Pueblo del Barro - Tacuarembó (UY): INIA, 2018. p. 42Biblioteca(s): INIA Tacuarembó. |
|    |
10. |  | BLANCO, P.H.; CARRACELAS, G. Cultivares de calidad americana E5: Paso Farías, Artigas. In: Día de Campo, arroz, 7 de febrero, Zona Norte, Paso Farías, Artigas / 8 de febrero, Zona Centro, Pueblo del Barro, Tacuarembó, 2017. Tacuarembó (Uruguay): INIA, 2017. p. 47Biblioteca(s): INIA Tacuarembó. |
|    |
14. |  | MOLINA, F.; BLANCO, P.H. Híbridos de arroz. In: Zorrilla, G.; Martínez, S.; Terra, J. A. Saravia, H. (Eds.) Arroz 2018. Montevideo (UY): INIA, 2018. p. 29-31. (INIA Serie Técnica; 246)Biblioteca(s): INIA Treinta y Tres. |
|    |
15. |  | BLANCO, P.H.; CARRACELAS, G. Mejoramiento genetico: cultivares de calidad americana E5-1. Paso Farías, Artigas. 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. p. 23-24 "Instituto Nacional de Investigación Agropecuaria, Uruguay (INIA); Programa Nacional de Arroz"Biblioteca(s): INIA Tacuarembó. |
|    |
16. |  | BLANCO, P.H.; CARRACELAS, G. Mejoramiento genetico: cultivares Clearfield. Paso Farías, Artigas. 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. p. 22 "Instituto Nacional de Investigación Agropecuaria, Uruguay (INIA); Programa Nacional de Arroz"Biblioteca(s): INIA Tacuarembó. |
|    |
17. |  | BLANCO, P.H.; MENDEZ, J. Momento de cosecha. ln: INIA Tacuarembó. Arroz: resultados experimentales zafra 1995-1996. Tacuarembó (Uruguay): INIA, 1996. cap. 8, p. 1-13 (INIA Serie Actividades de Difusión ; 107)Biblioteca(s): INIA Tacuarembó. |
|    |
18. |  | BLANCO, P.H.; GAGGERO, M. Selección. Mejoramiento genético. I. Resumen de actividades del Proyecto. ln: INIA TREINTA Y TRES. PROGRAMA NACIONAL DE ARROZ. Investigaciones agronómicas: reporte técnico anual 2003.Área cultivos. Treinta y Tres (Uruguay): INIA, 2003. cap. 6, p. 4-5. (INIA Reporte Técnico Anual; 01)Biblioteca(s): INIA Treinta y Tres. |
|    |
19. |  | Batello, C.; Blanco, P.; Lavecchia, A. El arroz en el norte ln: Congreso Nacional de Ingeniería Agronómica, 6., 1993, Montevideo, Uruguay Trabajos presentados. Montevideo (Uruguay): Asociación de Ingenieros Agrónomos del Uruguay, 1993. p. V- 1-4Biblioteca(s): INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
|   |
Registros recuperados : 235 | |
|
|
 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
21/02/2014 |
Actualizado : |
03/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 1 |
Autor : |
ROEL, A.; FIRPO, H.; PLANT, R.E. |
Afiliación : |
ROEL DELLAZOPPA, ÁLVARO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Why do some farmers get higher yields? Multivariate analysis of a group of Uruguayan rice farmers. |
Fecha de publicación : |
2007 |
Fuente / Imprenta : |
Computers and Electronics in Agriculture, 2007, v. 58, no. 1, p. 78-92. |
ISSN : |
0168-1699 |
DOI : |
10.1016/j.compag.2006.10.001 |
Idioma : |
Inglés |
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. |
Thesagro : |
ARROZ; MANEJO; RENDIMIENTO; URUGUAY. |
Asunto categoría : |
F06 Riego |
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.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Treinta y Tres (TT) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|