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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 : |
16/10/2018 |
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Actualizado : |
11/02/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BORGES, A.; GONZÁLEZ-REYMUNDEZ, A.; ERNST, O.; CADENAZZI, M.; TERRA, J.A.; GUTIÉRREZ, L. |
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Afiliación : |
ALEJANDRA BORGES, Departamento de Estadística. Facultad de Agronomía, UdelaR.; AGUSTÍN GONZÁLEZ-REYMUNDEZ, Departamento de Estadística. Facultad de Agronomía, UdelaR.; OSVALDO, ERNST, Departamento de Producción de Cultivos. EEMAC, Facultad de Agronomía, UdelaR.; MÓNICA CADENAZZI, Departamento de Estadística. Facultad de Agronomía, UdelaR.; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCÍA GUTIÉRREZ, Department of Agronomy, University of Wisconsin. |
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Título : |
Can spatial modeling substitute experimental design in agricultural experiments? |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Crop Science, 2018, v. 59, no. 1, p. 1-10. |
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DOI : |
10.2135/cropsci2018.03.0177 |
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Idioma : |
Inglés |
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Notas : |
Article history: Accepted paper, posted 10/05/18. Published online December, 13. 2018. |
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Contenido : |
Abstract:
One of the most critical aspects of agricultural experimentation is the proper choice of experimental design to control field heterogeneity, especially for large experiments. However, even with complex experimental designs, spatial variability may not be properly controlled if it occurs at scales smaller than blocks. Therefore, modeling spatial variability can be beneficial and some studies even propose spatial modeling instead of experimental design. Our goal was to evaluate the effect of experimental design, spatial modeling, and a combination of both under real field conditions using GIS and simulating experiments. Yield data from cultivars was simulated using real spatial variability from a large uniformity trial of one hundred independent locations and different sizes of experiments for four experimental designs: completely randomized design (CRD), randomized complete block design (RCBD), alpha-lattice incomplete block design (ALPHA), and partially replicated design (PREP). Each realization was analyzed using different levels of spatial correction. Models were compared by precision, accuracy, and the recovery of superior genotypes. For moderate and large experiment sizes, ALPHA was the best experimental design in terms of precision and accuracy. In most situations, models that included spatial correlation were better than models with no spatial correlation but they did not outperformed better experimental designs. Therefore, spatial modeling is not a substitute for good experimental design. MenosAbstract:
One of the most critical aspects of agricultural experimentation is the proper choice of experimental design to control field heterogeneity, especially for large experiments. However, even with complex experimental designs, spatial variability may not be properly controlled if it occurs at scales smaller than blocks. Therefore, modeling spatial variability can be beneficial and some studies even propose spatial modeling instead of experimental design. Our goal was to evaluate the effect of experimental design, spatial modeling, and a combination of both under real field conditions using GIS and simulating experiments. Yield data from cultivars was simulated using real spatial variability from a large uniformity trial of one hundred independent locations and different sizes of experiments for four experimental designs: completely randomized design (CRD), randomized complete block design (RCBD), alpha-lattice incomplete block design (ALPHA), and partially replicated design (PREP). Each realization was analyzed using different levels of spatial correction. Models were compared by precision, accuracy, and the recovery of superior genotypes. For moderate and large experiment sizes, ALPHA was the best experimental design in terms of precision and accuracy. In most situations, models that included spatial correlation were better than models with no spatial correlation but they did not outperformed better experimental designs. Therefore, spatial modeling is not a substitut... Presentar Todo |
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Palabras claves : |
EFFICIENCY STATISTICS; EXPERIMENTAL DESIGN; FIELD VARIABILITY; SPATIAL MODELS; UNIFORMITY TRIAL. |
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Thesagro : |
DISENO ESTADISTICO; DISENO EXPERIMENTAL; MODELOS ESTADISTICOS; VARIABILIDAD. |
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Asunto categoría : |
U30 Métodos de investigación |
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Marc : |
LEADER 02512naa a2200313 a 4500
001 1059193
005 2019-02-11
008 2018 bl uuuu u00u1 u #d
024 7 $a10.2135/cropsci2018.03.0177$2DOI
100 1 $aBORGES, A.
245 $aCan spatial modeling substitute experimental design in agricultural experiments?$h[electronic resource]
260 $c2018
500 $aArticle history: Accepted paper, posted 10/05/18. Published online December, 13. 2018.
520 $aAbstract: One of the most critical aspects of agricultural experimentation is the proper choice of experimental design to control field heterogeneity, especially for large experiments. However, even with complex experimental designs, spatial variability may not be properly controlled if it occurs at scales smaller than blocks. Therefore, modeling spatial variability can be beneficial and some studies even propose spatial modeling instead of experimental design. Our goal was to evaluate the effect of experimental design, spatial modeling, and a combination of both under real field conditions using GIS and simulating experiments. Yield data from cultivars was simulated using real spatial variability from a large uniformity trial of one hundred independent locations and different sizes of experiments for four experimental designs: completely randomized design (CRD), randomized complete block design (RCBD), alpha-lattice incomplete block design (ALPHA), and partially replicated design (PREP). Each realization was analyzed using different levels of spatial correction. Models were compared by precision, accuracy, and the recovery of superior genotypes. For moderate and large experiment sizes, ALPHA was the best experimental design in terms of precision and accuracy. In most situations, models that included spatial correlation were better than models with no spatial correlation but they did not outperformed better experimental designs. Therefore, spatial modeling is not a substitute for good experimental design.
650 $aDISENO ESTADISTICO
650 $aDISENO EXPERIMENTAL
650 $aMODELOS ESTADISTICOS
650 $aVARIABILIDAD
653 $aEFFICIENCY STATISTICS
653 $aEXPERIMENTAL DESIGN
653 $aFIELD VARIABILITY
653 $aSPATIAL MODELS
653 $aUNIFORMITY TRIAL
700 1 $aGONZÁLEZ-REYMUNDEZ, A.
700 1 $aERNST, O.
700 1 $aCADENAZZI, M.
700 1 $aTERRA, J.A.
700 1 $aGUTIÉRREZ, L.
773 $tCrop Science, 2018$gv. 59, no. 1, p. 1-10.
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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
30/09/2021 |
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Actualizado : |
01/10/2021 |
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Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
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Autor : |
GANZÁBAL, A.; MARTÍNEZ, F.; FERREIRA, A.; ARROSPIDE, D.; LADOS, E.; AGUIRRE, M.; PERALTA, M.; CEDRÉS, D.; CAMPANELLA, L.; GARCÍA DA ROSA, D.; URIOSTE, G. |
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Afiliación : |
ANDRES RICARDO GANZÁBAL PLANINICH, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FREDDY MARTÍNEZ, Movimiento de la Juventud Agraria; AUGUSTO FERREIRA, Extensionista Proyecto ANDE; DIEGO ARROSPIDE, Extensionista Proyecto ANDE; ESTEFANÍA LADOS, Extensionista Proyecto ANDE; MACARENA AGUIRRE, Extensionista Proyecto ANDE; MAGDALENA PERALTA, Extensionista Proyecto ANDE; DANIEL CECRÉS, Asociación Rural de Reboledo; LUCÍA CAMPANELLA, Agencia Nacional de Desarrollo; DIEGO GARCÍA DA ROSA, Agencia Nacional de Desarrollo; GONZALO URIOSTE, Intendencia de Florida. |
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Título : |
Majada cooperaria: una nueva herramienta de desarrollo para una ovinocultura emergente. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Revista INIA Uruguay, Setiembre 2021, no.66, p. 21-24. |
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Serie : |
(Revista INIA; 66). |
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ISSN : |
1510-9011 |
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Idioma : |
Español |
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Contenido : |
Este artículo sintetiza las bases y la puesta en funcionamiento de la Majada Cooperaria, como instrumento para el desarrollo del sector ovino en el marco del Proyecto Regional ANDE - MJA. La iniciativa surge como parte de un trabajo interinstitucional, con foco en la pequeña escala productiva y en la mano de obra familiar. |
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Palabras claves : |
COOPERATIVISMO; FONDOS ROTATORIOS DE OVINOS; OVINOS; PROYECTO REGIONAL ANDE. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15997/1/Revista-INIA-66-Setiembre-2021-7.pdf
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Marc : |
LEADER 01207naa a2200313 a 4500
001 1062418
005 2021-10-01
008 2021 bl uuuu u00u1 u #d
022 $a1510-9011
100 1 $aGANZÁBAL, A.
245 $aMajada cooperaria$buna nueva herramienta de desarrollo para una ovinocultura emergente.$h[electronic resource]
260 $c2021
490 $a(Revista INIA; 66).
520 $aEste artículo sintetiza las bases y la puesta en funcionamiento de la Majada Cooperaria, como instrumento para el desarrollo del sector ovino en el marco del Proyecto Regional ANDE - MJA. La iniciativa surge como parte de un trabajo interinstitucional, con foco en la pequeña escala productiva y en la mano de obra familiar.
653 $aCOOPERATIVISMO
653 $aFONDOS ROTATORIOS DE OVINOS
653 $aOVINOS
653 $aPROYECTO REGIONAL ANDE
700 1 $aMARTÍNEZ, F.
700 1 $aFERREIRA, A.
700 1 $aARROSPIDE, D.
700 1 $aLADOS, E.
700 1 $aAGUIRRE, M.
700 1 $aPERALTA, M.
700 1 $aCEDRÉS, D.
700 1 $aCAMPANELLA, L.
700 1 $aGARCÍA DA ROSA, D.
700 1 $aURIOSTE, G.
773 $tRevista INIA Uruguay, Setiembre 2021, no.66, p. 21-24.
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