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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
09/09/2020 |
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Actualizado : |
05/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
RAEGAN HOEFLER; GONZALEZ-BARRIOS , P.; MADHAV BHATTA; NUNES, J.A.R.; BERRO, I.; NALIN, R.S.; BORGES, A.; COVARRUBIAS, E.; DIAZ-GARCIA, L.; QUINCKE, M.; GUTIERREZ, L. |
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Afiliación : |
HOEFLER, R., Department of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; PABLO GONZALEZ-BARRIOS, Dpartment of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; BHATTA, M., Department of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; JOSE A. R. NUNES, Department of Agronomy, University of Wisconsin?Madison, 1575 Linden Dr., Madison, WI, 53706, USA.; INES BERRO, Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI, 53706, USA; RAFAEL S. NALIN, Department of Genetics, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Piracicaba, São Paulo, 131418-900, Brazil.; ALEJANDRA BORGES, Statistics Department, Facultad de Agronomía, Univesidad de la República, Garzón 780, Montevideo, Uruguay.; EDUARDO COVARRUBIAS, CGIAR Excellence in Breeding Platform (EiB), El Batan, Mexico International Maize and Wheat Improvement Center (CIMMYT), El Batan, Mexico.; LUIS DIAZ-GARCIA, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias, 20676, Aguascalientes, Mexico.; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCIA GUTIERREZ, Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI, 53706, USA. |
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Título : |
Do Spatial Designs Outperform Classic Experimental Designs?. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Journal of Agricultural, Biological, and Environmental Statistics, 1 December 2020, volume 25, number 4, pag.523-552, 1 December 2020. OPEN ACCESS. Doi: https://doi.org/10.1007/s13253-020-00406-2 |
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DOI : |
10.1007/s13253-020-00406-2 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 15 October 2019/Accepted 01 July 2020/Published 29 August 2020. This project was partially funded through a USDA_AFRI_NIFA_2018-67013-27620 award and by the Hatch Act Formula Fund WISO1984 and WIS03002. Additionally, JARN received funding from CAPES CAPES_PrInt_UFLA 88887.318846_2019-00 as Senior Visiting Professor at the University of Wisconsin-Madison. |
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Contenido : |
Controlling spatial variation in agricultural field trials is the most important step to compare treatments efficiently and accurately. Spatial variability can be controlled at the experimental design level with the assignment of treatments to experimental units and at the modeling level with the use of spatial corrections and other modeling strategies. The goal of this study was to compare the efficiency of methods used to control spatial variation in a wide range of scenarios using a simulation approach based on real wheat data. Specifically, classic and spatial experimental designs with and without a twodimensional autoregressive spatial correction were evaluated in scenarios that include differing experimental unit sizes, experiment sizes, relationships among genotypes, genotype by environment interaction levels, and trait heritabilities. Fully replicated designs outperformed partially and unreplicated designs in terms of accuracy; the alpha-lattice incomplete block design was best in all scenarios of the medium-sized experiments.
However, in terms of response to selection, partially replicated experiments that evaluate large population sizes were superior in most scenarios. The AR1×AR1 spatial correction had little benefit in most scenarios except for the medium-sized experiments with the largest experimental unit size and low GE. Overall, the results from this study provide a guide to researchers designing and analyzing large field experiments. Supplementary materials accompanying this paper appear online. MenosControlling spatial variation in agricultural field trials is the most important step to compare treatments efficiently and accurately. Spatial variability can be controlled at the experimental design level with the assignment of treatments to experimental units and at the modeling level with the use of spatial corrections and other modeling strategies. The goal of this study was to compare the efficiency of methods used to control spatial variation in a wide range of scenarios using a simulation approach based on real wheat data. Specifically, classic and spatial experimental designs with and without a twodimensional autoregressive spatial correction were evaluated in scenarios that include differing experimental unit sizes, experiment sizes, relationships among genotypes, genotype by environment interaction levels, and trait heritabilities. Fully replicated designs outperformed partially and unreplicated designs in terms of accuracy; the alpha-lattice incomplete block design was best in all scenarios of the medium-sized experiments.
However, in terms of response to selection, partially replicated experiments that evaluate large population sizes were superior in most scenarios. The AR1×AR1 spatial correction had little benefit in most scenarios except for the medium-sized experiments with the largest experimental unit size and low GE. Overall, the results from this study provide a guide to researchers designing and analyzing large field experiments. Supplementary materials ... Presentar Todo |
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Palabras claves : |
AUTOREGRESSIVE PROCESS; EXPERIMENTAL DESIGN; PREDICTION ACCURACY; RANDOMIZATION-BASED EXPERIMENTAL DESIGNS; RESPONSE TO SELECTION; SPATIAL CORRECTION. |
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Thesagro : |
DISENO EXPERIMENTAL. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16700/1/JABES-2020.pdf
https://link.springer.com/content/pdf/10.1007/s13253-020-00406-2.pdf
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Marc : |
LEADER 03067naa a2200349 a 4500
001 1061304
005 2022-09-05
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1007/s13253-020-00406-2$2DOI
100 1 $aRAEGAN HOEFLER
245 $aDo Spatial Designs Outperform Classic Experimental Designs?.$h[electronic resource]
260 $c2020
500 $aArticle history: Received 15 October 2019/Accepted 01 July 2020/Published 29 August 2020. This project was partially funded through a USDA_AFRI_NIFA_2018-67013-27620 award and by the Hatch Act Formula Fund WISO1984 and WIS03002. Additionally, JARN received funding from CAPES CAPES_PrInt_UFLA 88887.318846_2019-00 as Senior Visiting Professor at the University of Wisconsin-Madison.
520 $aControlling spatial variation in agricultural field trials is the most important step to compare treatments efficiently and accurately. Spatial variability can be controlled at the experimental design level with the assignment of treatments to experimental units and at the modeling level with the use of spatial corrections and other modeling strategies. The goal of this study was to compare the efficiency of methods used to control spatial variation in a wide range of scenarios using a simulation approach based on real wheat data. Specifically, classic and spatial experimental designs with and without a twodimensional autoregressive spatial correction were evaluated in scenarios that include differing experimental unit sizes, experiment sizes, relationships among genotypes, genotype by environment interaction levels, and trait heritabilities. Fully replicated designs outperformed partially and unreplicated designs in terms of accuracy; the alpha-lattice incomplete block design was best in all scenarios of the medium-sized experiments. However, in terms of response to selection, partially replicated experiments that evaluate large population sizes were superior in most scenarios. The AR1×AR1 spatial correction had little benefit in most scenarios except for the medium-sized experiments with the largest experimental unit size and low GE. Overall, the results from this study provide a guide to researchers designing and analyzing large field experiments. Supplementary materials accompanying this paper appear online.
650 $aDISENO EXPERIMENTAL
653 $aAUTOREGRESSIVE PROCESS
653 $aEXPERIMENTAL DESIGN
653 $aPREDICTION ACCURACY
653 $aRANDOMIZATION-BASED EXPERIMENTAL DESIGNS
653 $aRESPONSE TO SELECTION
653 $aSPATIAL CORRECTION
700 1 $aGONZALEZ-BARRIOS , P.
700 1 $aMADHAV BHATTA
700 1 $aNUNES, J.A.R.
700 1 $aBERRO, I.
700 1 $aNALIN, R.S.
700 1 $aBORGES, A.
700 1 $aCOVARRUBIAS, E.
700 1 $aDIAZ-GARCIA, L.
700 1 $aQUINCKE, M.
700 1 $aGUTIERREZ, L.
773 $tJournal of Agricultural, Biological, and Environmental Statistics, 1 December 2020, volume 25, number 4, pag.523-552, 1 December 2020. OPEN ACCESS. Doi: https://doi.org/10.1007/s13253-020-00406-2
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INIA La Estanzuela (LE) |
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| Registros recuperados : 271 | |
| 201. |  | Germán, S.; Balbi, M.; Silveira, C.; Tojo, C.; Capdevielle, F.; Pereyra, S.; Berretta, A. Colección nacional de cebada INIA La Estanzuela 1993 ln: Reunión Nacional de Investigadores de Cebada, 4., 1993, Palmar Montevideo (Uruguay): INIA; LATU; SALUS, 1993. p. 177-179| Biblioteca(s): INIA La Estanzuela. |
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| 202. | | TOJO, C.; CAPDEVIELLE, F.; GERMAN, S.; PEREYRA, S.; BERRETTA, A.; SYLVEIRA, C.; BALBI, M. A diversity analysis of a sample of the Uruguayan National Barley Collection at the phenotypic and molecular level. In: INTERNATIONAL OAT CONFERENCE, 5.; INTERNATIONAL BARLEY GENETICS SYMPOSIUM, 7., SASKATOON, SK, CA.; SLINKARD, A.; SCOLES, G.; ROSSNAGEL, B. (Ed.). Proceedings: poster sessions; volume 1. Saskatoon, SK, CA: University Extension Press, 1996. p. 227-229.| Biblioteca(s): INIA La Estanzuela. |
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| 203. | | PÉREZ, C.A.; VILLAR, H.A.; VERO, S.; PEREYRA, S.; ALTIER, N. Efecto de la inoculación a campo de Trichoderma atroviride sobre la presión de inóculo de patógenos del trigo. In: JORNADA NACIONAL DE FITOPATOLOGÍA, 3; JORNADA NACIONAL DE PROTECCIÓN VEGETAL, 1., 3 SETIEMBRE 2015, MONTEVIDEO, URUGUAY. Libro de Resúmenes. Montevideo (Uruguay) : SUFIT, 2015. p. 32 Financiamiento: CSIC VUSP ? Mesa Nacional de Trigo - Lage y Cía.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| 204. | | 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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| 205. | | 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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| 206. | | PEREYRA, S.; PERRACHON, J.; VUILLE, B.; RIOS, A.; ZERBINO, M.S. The effect of cropping sequences on residue-borne pathogens of wheat and Trichoderma spp. under no-till systems in southwestern
Uruguay. In: INTERNATIONAL SOIL TILLAGE RESEARCH ORGANIZATION. 19., SOCIEDAD URUGUAYA DE CIENCIA DEL SUELO, 4., 2012, Montevideo, UY. Poster presentation: 203. Montevideo, UY: ISTRO, 2012.| Biblioteca(s): INIA La Estanzuela. |
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| 207. | | PALLADINO, C.; PÉREZ, C.A.; PAREJA, L.; PÉREZ-PARADA. A.; FRANCO, J.; PEREYRA, S. Fungicide strategies for Ramularia Leaf Spot control recommended in Uruguay and its residues in barley grains. [Estrategias de fungicidas recomendadas para el control de ramulariosis en Uruguay y sus residuos en granos de cebada.]. [Estratégias de fungicidas para o controlo da ramulariose recomendadas no Uruguai e respectivos resíduos nos grãos de cevada.]. Section. Plant protection. Agrociencia Uruguay, 2024, Vol.28, e1262. https://doi.org/10.31285/AGRO.28.1262 -- OPEN ACCESS. Article history: Received 04 October 2023; Accepted 01 December 2023; Published 01 February 2024. -- Editor: María Inés Siri, Universidad de la República, Montevideo, Uruguay. -- Correspondence: Cintia Palladino, cpalladino@cup.edu.uy --...| Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : Nacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 211. | | REBUFFO, M.; PEREIRA [I. E.] PEREYRA, S.; ALTIER, N.; DÍAZ DE ACKERMANN, M. Mejoramiento genético de avena. ln: Día de Campo, 1995, La Estanzuela, Colonia, UY. Pasturas y ovinos. La Estanzuela: INIA, 1995. p. 7. (Serie Actividades de Difusión, 78).| Tipo: Actividades de Difusión |
| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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| 212. | | GERMAN, S.; DÍAZ DE ACKERMANN, M.; SILVA, P.; QUINCKE, M.; PEREYRA, S. Mejoramiento por resistencia a enfermedades de trigo en Uruguay. In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. p. 148-166. (INIA Serie Técnica; 241).| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA La Estanzuela. |
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| 213. | | GERMAN, S.; PEREYRA, S.; DIAZ DE ACKERMANN, M.; SILVA, P.; QUINCKE, M.; VÁZQUEZ, D. Mejoramiento por resistencia a enfermedades de trigo en Uruguay.[Presentación oral]. In: SEMINARIO INTERNACIONAL DE TRIGO, 2014, La Estanzuela, Colonia, UY. GERMÁN, S., et al. (Org.). 1914-2014, un siglo de mejoramiento de trigo en La Estanzuela: un valioso legado para el futuro: presentaciones; resúmenes. La Estanzuela, Colonia, UY: INIA, 2014. p. 45.| Tipo: Presentaciones Orales |
| Biblioteca(s): INIA La Estanzuela. |
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| 214. | | BERBERIAN, N.; CASTRO, A.; CAPETTINI, F.; FROS, D.; GERMAN, S.; PEREYRA, S.; PEREZ, C.; GUTIÉRREZ, L. Modelos mixtos para la identificación de QTL para enfermedades en cebada a traves de mapeo asociativo. In: REUNIÓN CIENTIFICA DEL GRUPO ARGENTINO DE BIOMETRÍA, 16., 2011, Salta, AR. Libro de resúmenes: modelos lineales y generalizados mixtos. La Plata: GAB, 2011. p. 108.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA La Estanzuela. |
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| 215. | | CLAVIJO, F.; PONTET, V.; TOURNÉ, F.; PEREYRA, S.; SIRI, M.I. O2. Desafíos en el cultivo de trigo en Uruguay: análisis genómico y métodos de diagnóstico para enfrentar enfermedades bacterianas. [Presentación oral]. Presentaciones orales. In: Sociedad Uruguaya de Fitopatología (SUFIT). Jornada Uruguaya de Fitopatología, 7., Jornada Uruguaya de Protección Vegetal, 5., 10 noviembre 2023, Montevideo, Uruguay. Libro de resúmenes. 30 años SUFIT, 1993-2023. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2023. p. 16. Financiamiento: Agencia Nacional de Investigación e Innovación (FCE_1_2017_1_135561), Comisión Sectorial de Investigación Científica (CSIC Grupos I+D_2000), Comisión Académica de Posgrado (Beca de Doctorado 2021-2024). -- Autor...| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| 216. | | MADARIAGA, R.; PERELLÓ, A.; CORDO, C.; SIMÓN, M. R.; ANNONE, J.; SANTANA, F. M.; PEREYRA, S. Operativeness of the wheat pathogens teleomorphs from its stubble in South America. In: INTERNATIONAL SYMPOSIUM ON MYCOSPHAERELLA AND STAGONOSPORA DISEASES OF CEREALS, 8.. 2011, México, DF, MX. Book of abstracts: oral presentations; session 2: epidemiology and population biology, 2011. p. 12.| Tipo: Presentaciones Orales |
| Biblioteca(s): INIA La Estanzuela. |
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| 218. | | OLIVERA, L.; PEREYRA, S.; BANCHERO, G.; TELLECHEA, G.; SAWCHIK, J.; AVERY, M.L.; RODRÍGUEZ, E. Nicarbazin as an oral contraceptive in eared doves. Crop Protection, Volume 146, August 2021, 105643.[Article in Press]. Doi: https://doi.org/10.1016/j.cropro.2021.105643 Article history: Received 22 December 2020/ Received in revised form 23 March 2021/ Accepted 27 March 2021/ Available online 1 April 2021. Corresponding author: E-mail address: lourdes.m.olivera@gmail.com| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 271 | |
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