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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
09/09/2020 |
Actualizado : |
05/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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. |
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. |
Título : |
Do Spatial Designs Outperform Classic Experimental Designs?. |
Fecha de publicación : |
2020 |
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 |
DOI : |
10.1007/s13253-020-00406-2 |
Idioma : |
Inglés |
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. |
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 |
Palabras claves : |
AUTOREGRESSIVE PROCESS; EXPERIMENTAL DESIGN; PREDICTION ACCURACY; RANDOMIZATION-BASED EXPERIMENTAL DESIGNS; RESPONSE TO SELECTION; SPATIAL CORRECTION. |
Thesagro : |
DISENO EXPERIMENTAL. |
Asunto categoría : |
-- |
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 : 15 | |
1. | | BENTANCOR, L.; HERNÁNDEZ, J.; DEL PINO, A.; CALIFRA, A.; RESQUÍN, F.; GONZÁLEZ-BARRIOS, P. Evaluation of the biomass production, energy yield and nutrient removal of Eucalyptus dunnii Maiden grown in short rotation coppice under two initial planting densities and harvest systems. Biomass and Bioenergy, 2019, v. 122, p. 165-174. Article history: Received 31 August 2018 // Received in revised form 18 January 2019 // Accepted 21 January 2019.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Tacuarembó. |
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3. | | LADO, B.; GONZÁLEZ BARRIOS, P.; QUINCKE, M.; SILVA, P.; GUTIÉREZ, L. Genomic selection in wheat breeding program modelling genotype by environment interaction using mixed models. In: International Wheat Conference, 9., 2015, Sydney, AU. Program and abstracts: posters. Sidney: ICMS Australasia, 2015. p. 168.Biblioteca(s): INIA La Estanzuela. |
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4. | | MOREIRA, V.; FERRONATO, B.; DE BENEDETTI, F.; GONZÁLEZ-BARRIOS, P.; MONDINO, P.; ALANIZ, S. Incidence of Colletotrichum latent infections during olive fruit development under Uruguayan environmental conditions. International Journal of Pest Management, 2022, vol. 68, issue 4: "Uruguayan Society of Phytopathology (SUFIT): Plant protection for a sustainable agriculture", p.286-294. doi: https://doi.org/10.1080/09670874.2022.2119490 Article history: Received 30 April 2022, Accepted 25 August 2022, Published online 08 September 2022. Corresponding author: Moreira, V.; Departamento de Protección Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo,...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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6. | | GONZÁLEZ BARRIOS, P.; PÉREZ, O.; CASTRO, M.; CERETTA, S.; VILARO, D.; GUTIÉRREZ, L. Identificación de limitantes a la expresión del potencial de rendimiento en girasol en Uruguay mediante GGE biplots y PLS regression. In: IV Encuentro Iberoamericano de Biometría; 4o. y XVIII Reunión Científica del GAB, 17o., Setiembre 2013, Mar del Plata ,ROMERO, M.C.; MARINELLI, C.; CEPEDA, R. Eds., La Plata, Bs As, Argentina: Grupo Argentino de Biometría. p. 236-239Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA La Estanzuela. |
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8. | | ANDINO, M.; GAIERO, P.; GONZÁLEZ-BARRIOS, P.; GALVÁN, G.; VILARÓ, F.; SPERANZA, P. Potato introgressive hybridisation breeding for bacterial wilt resistance using Solanum commersonii Dun. as Donor: genetic and agronomic characterisation of a backcross 3 progeny. Potato Research, 2021. Doi: https://doi.org/10.1007/s11540-021-09512-1 Article history: Received 30 October 2020; Accepted 26 April 2021; Published Online 17 June 2021.
Corresponding author: Gaiero, P., Facultad de Agronomía, Universidad de la República, Garzón 780, Montevideo, Uruguay;...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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9. | | HERNÁNDEZ-LISTA, N.; MOREIRA, V.; GONZÁLEZ-BARRIOS, P.; RODRÍGUEZ, G.; GONZÁLEZ-ARCOS, M.; VILARÓ, F.; GAIERO, P. Evaluación de la resistencia a tizón tardío (Phytophthora infestans) en genotipos de una colección núcleo de parientes silvestres de papa en condiciones controladas. 273. (resúmen Áreas temáticas: Genética. In: Physiological Mini Reviews, 2022, volume 15, Special Issue: III (3er) Congreso Nacional de Biociencias Octubre 2022, Montevideo, Uruguay. p.157. Resumen publicado en las jornadas de BIOCIENCIAS: II Jornadas Binacionales Argentina-Uruguay; III Congreso Nacional 2022 "Ciencia para el desarrollo sustentable".Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Las Brujas. |
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10. | | DE ARMAS, S.; GALVÁN, G. A.; LAPAZ, M. I.; GONZÁLEZ-BARRIOS, P.; VICENTE, E.; PIANZZOLA, M. J.; SIRI, M. I. Phylogeny and identification of Pantoea species associated with bulb rot and bacterial leaf blight of onion crops in Uruguay. Plant Disease, 2022, volume 106, issue 4, pp. 1216-1225. doi: https://doi.org/10.1094/PDIS-06-21-1140-RE Published Online:27 Mar 2022.
Corresponding author: María I. Siri; Email: msiri@fq.edu.uy.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Treinta y Tres. |
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11. | | VIERA, L.; ALCOBA, F.; GONZÁLEZ-BARRIOS, P.; RODRÍGUEZ, G.; GONZÁLEZ-ARCOS, M.; FERREIRA, V.; GALVÁN, G.; SIRI, M.I.; GAIERO, P.; VILARÓ, F. Evaluación de la resistencia a marchitez bacteriana en germoplasma avanzado de Papa (Solanum tuberosum). 153. (resúmen). Áreas temáticas: Genética. In: Physiological Mini Reviews, 2022, volume 15, Special Issue: III (3er) Congreso Nacional de Biociencias Octubre 2022, Montevideo, Uruguay. p.151-152. Resumen publicado en las jornadas de BIOCIENCIAS: II Jornadas Binacionales Argentina-Uruguay; III Congreso Nacional 2022 "Ciencia para el desarrollo sustentable".Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Las Brujas. |
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12. | | GLISON, N.; GONZÁLEZ BARRIOS, P.; CORREA, E.; VIEGA, L.; SALDANHA, S.; REYNO, R.; MUSACCHIO, E.; RUSH, P.; SCHRAUF, G.; SPERANZA, P. Responses of seedling emergence of three Paspalum species to environmental factors. In: International Symposium of Forage Breeding (5., Buenos Aires, AR), 19-21 Octubre, 2015. Abstract.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Tacuarembó. |
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13. | | GLISON, N.; GONZÁLEZ BARRIOS, P.; CORREA, E.; VIEGA, L.; SALDANHA, S.; REYNO, R.; MUSACCHIO, E.; RUSH, P.; SCHRAUF, G.; SPERANZA, P. Responses of seedling emergence of three Paspalum species to environmental factors. [Poster]. In: International Symposium of Forage Breeding (5., Buenos Aires, AR), 19-21 Octubre, 2015.Biblioteca(s): INIA Tacuarembó. |
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14. | | 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. Do Spatial Designs Outperform Classic Experimental Designs?. 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 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....Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA La Estanzuela. |
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15. | | SCARLATO, M.; RIEPPI, M.; ALLIAUME, F.; ILLARZE, G.; BAJSA, N.; BERTONI, P.; BIANCHI, F.J.J.A.; ECHEVERRIBORDA, G.; GALVÁN, G.; GARCÍA DE SOUZA, M.; GILSANZ, J.C.; GONZÁLEZ BARRIOS, P.; DIESTE, J.P.; TRASANTE, T.; ROSSING, W.A.H.; DOGLIOTTI, S. Towards the development of cover crop - reduced tillage systems without herbicides and synthetic fertilizers in onion cultivation: Promising but challenges remain. Soil and Tillage Research. 2024, Volume 240, Article 106061. https://doi.org/10.1016/j.still.2024.106061 --- OPEN ACCESS. Article history: Received 8 May 2023, Revised 15 February 2024, Accepted 20 February 2024, Available online 6 March 2024, Version of Record 6 March 2024. -- Correspondence: Scarlato, M.; Facultad de Agronomía, Universidad de la...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 15 | |
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