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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
16/10/2018 |
Actualizado : |
11/02/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
BORGES, A.; GONZÁLEZ-REYMUNDEZ, A.; ERNST, O.; CADENAZZI, M.; TERRA, J.A.; GUTIÉRREZ, L. |
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. |
Título : |
Can spatial modeling substitute experimental design in agricultural experiments? |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Crop Science, 2018, v. 59, no. 1, p. 1-10. |
DOI : |
10.2135/cropsci2018.03.0177 |
Idioma : |
Inglés |
Notas : |
Article history: Accepted paper, posted 10/05/18. Published online December, 13. 2018. |
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 |
Palabras claves : |
EFFICIENCY STATISTICS; EXPERIMENTAL DESIGN; FIELD VARIABILITY; SPATIAL MODELS; UNIFORMITY TRIAL. |
Thesagro : |
DISENO ESTADISTICO; DISENO EXPERIMENTAL; MODELOS ESTADISTICOS; VARIABILIDAD. |
Asunto categoría : |
U30 Métodos de investigación |
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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3. | | Bemhaja, M.; Berretta, E.J.; Zerbino, S.; Cadenazzi, M. Contribución de las raíces de comunidades de campo natural bajo diferentes niveles de NP con pastoreo controlado en Basalto ln: Reunión del grupo técnico en forrajeras del Cono Sur, 22., 2008, Minas, Uruguay Bioma campos: innovando para mantener su sustentabilidad y competitividad. Memorias. Minas (Uruguay): INIA; FAO; PROCISUR, 2008. p. 196 Versión impresa y en CD ROM Instituto Nacional de Investigación Agropecuaria, Uruguay; FAO; PROCISURBiblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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6. | | Bemhaja, M.; Pérez Gomar, E.; Zerbino, S.; Cadenazzi, M. Microcuencas apareadas en Tacuarembó: contribución de raíces de comunidades de campo natural pastoreado y sombreado con Pinus taeda ln: Reunión del grupo técnico en forrajeras del Cono Sur, 22., 2008, Minas, Uruguay Bioma campos: innovando para mantener su sustentabilidad y competitividad. Memorias. Minas (Uruguay): INIA; FAO; PROCISUR, 2008. p. 187 Versión impresa y en CD ROM Instituto Nacional de Investigación Agropecuaria, Uruguay; FAO; PROCISURBiblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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7. | | BORGES, A.; GONZÁLEZ-REYMUNDEZ, A.; ERNST, O.; CADENAZZI, M.; TERRA, J.A.; GUTIÉRREZ, L. Can spatial modeling substitute experimental design in agricultural experiments? Crop Science, 2018, v. 59, no. 1, p. 1-10. Article history: Accepted paper, posted 10/05/18. Published online December, 13. 2018.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Treinta y Tres. |
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8. | | RUSSO, M.; ELICHALT, M.; URRUZOLA, N.; MEDRANO, A.; CADENAZZI, M.; GODIÑO, M.; BATTHYANY, C.; MALACRIDA, L. Caracterización nutricional y en compuestos bioactivos de trigo nacional. Montevideo (UY): INIA, 2021. 38 p. (Serie FPTA-INIA; 92). Proyecto FPTA 323: "Caracterización nutricional y en compuestos bioactivos de trigo en Uruguay. Variabilidad de genotipos y ambientes". Período de ejecución: Junio 2014 -Setiembre 2017. Institución Ejecutora: Universidad de la República,...Biblioteca(s): INIA Las Brujas. |
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9. | | LIZARRALDE, C.; PICASSO, V.; CADENAZZI, M.; MODERNEL, P.; BECOÑA, G.; ASTIGARRAGA, L. Diet and milk yield effect on milk carbon footprint of dairy farms in Uruguay. In: GREENHOUSE GASES AND ANIMAL AGRICULTURE CONFERENCE, 2013, Dublin, IE. [Posters?]. Dublin: GGAA, 2013. p. 384.Biblioteca(s): INIA La Estanzuela. |
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10. | | BAO, L.; MARTÍNEZ, S.; LORENZO, M.E.; CADENAZZI, M.; SEIJAS, L.; CASTIGLIONI, E. Diversidad de insectos en la rotación arroz-pasturas. In: Sociedad Uruguaya de Fitopatología Jornada Uruguaya de Fitopatología, 6., Jornada Uruguaya de Protección Vegetal, 4., 21-22 octubre, 2021, Montevideo, Uruguay. Libro de resúmenes. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2021. p. 64. Financiamiento: ANII POS_NAC_2012_4459 L. Bao.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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11. | | BAO, L.; CADENAZZI, M.; MARTÍNEZ, S.; URRUTIA, M.; SEIJAS, L.; CASTIGLIONI, E. Aquatic insects in rice fields from the east of Uruguay. [Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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12. | | BAO, L.; MARTÍNEZ, S.; CADENAZZI, M.; URRUTIA, M.; SEIJAS, L.; CASTIGLIONI, E. Aquatic macroinvertebrates in Uruguayan rice agroecosystem. Biodiversity Data Journal, 2021, Volume 9, 2021, e60745, pages 1-18. OPEN ACCESS. Doi: https://doi.org/10.3897/BDJ.9.e60745 Article history: Received 13 Nov 2020; Approved 18 Feb 2021; Published: 04 Mar 2021.
Corresponding author: Leticia Bao - Crop Protection Department, University of Republic, Montevideo, Montevideo, Uruguay; email:baoleticia@gmail.comTipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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13. | | VILLAR, H.A.; CADENAZZI, M.; ERNST, O.; VERO, S.; PEREYRA, S.; ALTIER, N.; PÉREZ, C.A. Efecto de la secuencia de cultivos sobre las poblaciones nativas de Trichoderma spp. en sistemas de agricultura continua sin laboreo. In: JORNADA ANUAL DE FITOPATOLOGÍA, 2010, Montevideo, UY. Memorias. Paysandú, UY: SUFIT, 2010. p. 15.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA La Estanzuela. |
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14. | | VILLAR, H.A.; CADENAZZI, M.; ERNST, O.; VERO, S.; PEREYRA, S.; ALTIER, N.; PÉREZ, C. Efecto de la secuencia de cultivos sobre las poblaciones nativas de Trichoderma spp. en sistemas de agricultura sin laboreo. In: CONGRESO ARGENTINO DE FITOPATOLOGÍA, 2., 2011, Mar del Plata, AR. Libro de resúmenes. Mar del Plata: AAF, 2011. p. 348.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA La Estanzuela. |
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15. | | ERNST, O.; NIN, M.; CADENAZZI, M.; BENTANCUR, O.; GODIÑO, M.; SUBURU, G.; VÁZQUEZ, D. Manejo para rendimiento y calidad industrial de trigo : resultado final del relevamiento de chacras por variedades, de tres años sucesivos. ln: JORNADA DE RENDIMIENTO Y CALIDAD DE TRIGO, 4., 2002. Mercedes, Soriano, Uruguay [s.l.]: [s.n.], 2002. p. 1-23. Mesa de Nacional de Trigo, Uruguay.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA La Estanzuela. |
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16. | | BORGES, A.; GONZÁLEZ-REYMÚNDEZ, A.; ERNST, O.; CADENAZZI, M.; TERRA, J.A.; GUTIÉRREZ, LUCÍA Modelación espacial y diseños experimentales en experimentos agrícolas. In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR). FACULTAD DE AGRONOMÍA. Resúmenes. Jornadas de Investigación, 8-9 nov., 2018, Montevideo, Uruguay. Montevideo; FAGRO, 2019. p. 15Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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17. | | BEMHAJA SARAIVA, M.; BERRETTA, E.; ZERBINO, M.; PEREZ GOMAR, E.; BRITO, G.; RODRIGUEZ, A.; CADENAZZI, M. Monitoreo y respuesta de las especies de campo natural con fertilización NP pastoreadas con terneros. ln: INIA Tacuarembó. Unidad Experimental Glencoe. Alternativas de intensificación, especialización, diversificación y valorización de la ganadería ovina y bovina en basalto. Tacuarembó (Uruguay): INIA, 2008. p. 3-8Biblioteca(s): INIA Tacuarembó. |
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18. | | LIZARRALDE, C.; PICASSO, V.; ROTZ, C.A.; CADENAZZI, M.; ASTIGARRAGA, L. Practices to reduce milk carbon footprint on grazing dairy farms in southern Uruguay: case studies Sustainable Agriculture Research, Toronto, ON, CA, 2014, v. 3, n. 2, p. 1-15Tipo: Artículos Indexados |
Biblioteca(s): INIA La Estanzuela. |
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19. | | LIZARRALDE, C.; BAETHGEN, W.; CADENAZZI, M.; CAPURRO, M.C.; SAWCHIK, J. Phosphorus runoff in a non-fertilized soybean production system of SW Uruguay: abstract. Agrociencia Uruguay, v. 19, special issue "Inter-Regional CIGR Conference on Land and Water Challenges, 3., La Estanzuela, Colonia, UY. Tools for developing; "Dr. Mario García Petillo"", p. 24, 2015.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA La Estanzuela. |
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20. | | FEDRIGO, J.; JAURENA, M.; FETT PINTO, M.; DEVINCENZI, T.; CADENAZZI, M.; CARASSAI, I.; NABINGER, C. Spring deferment and N-P fertilization in natural grasslands vulnerable to summer water deficit. [Diferimiento y fertilización N-P en campo natural vulnerable al déficit hídrico de verano.]. [Diferimento e fertilização N-P em campo natural vulnerável ao déficit hídrico de verão.] Section: Natural and environmental resources. Agrociencia Uruguay, 2021, vol. 25, n.2, article e354. Doi: https://doi.org/10.31285/AGRO.25.354 Article history: Received 19 Jan 2018; Accepted 22 Mar 2021; Published 04 Jun 2021.
Editor: Inés Gazzano, Universidad de la República, Montevideo, Uruguay; Mónica Barbazán, Universidad de la República, Montevideo, Uruguay.
Correspondence:...Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : Nacional - -- |
Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 30 | |
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