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| Registros recuperados : 34 | |
| 22. |  | Calvo, M.V.; Duarte, F.; Borges, A.; García, C.; Núñez, S.; Scatoni, I.B. Use of sex pheromones to characterize the spatial distribution of Argyrotaenia sphaleropa and Bonagota salubricola (Lepidoptera: Tortricidae) in Southern Uruguay ln: Latin American Meeting of Chemical Ecology, 1., 2010, Colonia del Sacramento, Uruguay Chemical ecology: abstracts. Montevideo (Uruguay): Asociación Latino Americana de Ecología Química (ALAEQ), 2010. p. 71 Universidad de la República (Uruguay). Facultad de Química; Laboratory of Chemical Ecology; Latin American Association of Chemical Ecology| Biblioteca(s): INIA Tacuarembó. |
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| 23. | | DOGLIOTTI, S.; SCARLATO, M.; BERRUETA, C.; BARROS, C.; REHERMANN, F.; RIEPPI, M.; INETTI, C.; SOUST, G.; BORGES, A. Análisis y jerarquización de factores determinantes de las brechas de rendimiento y calidad en los principales cultivos hortícolas del Uruguay. Montevideo (UY): INIA, 2021. 81 p. (Serie FPTA-INIA; 91). Proyecto FPTA 288: "Análisis y jerarquización de factores determinantes de las brechas de rendimiento y calidad en los principales cultivos hortícolas del Uruguay." Período de ejecución: Marzo 2014 - Octubre 2017. Institución Ejecutora:...| Biblioteca(s): INIA Las Brujas. |
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| 24. | | DUARTE, F.; CALVO, V.; BORGES, A.; GARCÍA, C.; FRANCO, J.; NUÑEZ, S.; RIBES-DASI, M.; SCATONI, I. Caracterización espacial de Cydia molesta (Busck) (Lepidoptera: Tortricidae) en durazneros de la zona sur de Uruguay mediante métodos geoestadísticos. [resumen] Protección Frutícola. ln: Congreso Nacional de Horti-Fruticultura, 12. Jornadas Regionales de Manejo Poscosecha de Frutas. Seminario Suelos en Horticultura. Seminario Frutales de Pepita. 20-23 octubre 2012, Montevideo (UY) Trabajos presentados. Montevideo (UY): INIA; SUHF, 2010. p.55. Tesis de maestría en Ciencias Agrarias del primer autor, trabajo financiado por el Fondo de Promoción de Tecnología Agropecuaria (FPTA) del Instituto Nacional de Investigación Agropecuaria (INIA) (Proyecto FPTA 207)| Biblioteca(s): INIA Las Brujas. |
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| 25. | | BERRUETA, C.; BORGES, A.; GIMÉNEZ, G.; SENTANARO, G.; LAMMERS, M.; REHERMANN, F.; SOUST, G.; RIEPPI, M.; DOGLIOTTI, S. La producción de tomate bajo invernadero en el sur de Uruguay: caminos para reducir las brechas de rendimiento. Hortifruticultura. Revista INIA Uruguay, 2019, no. 58, p. 31-36. (Revista INIA; 58).| Biblioteca(s): INIA Las Brujas. |
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| 26. | | SPERONI, G.; BONIFACINO, M.; PRITSCH, C.; VAIO, M.; SOUZA-PÉREZ, M.; TRUJILLO, C.; BORGES, A.; IBÁÑEZ, F. Las valiosas particularidades de las poblaciones silvestres de 'ARAZÁ' (Psidium cattleyanum Sabine, Myrtaceae) en Uruguay. [Presentación oral]. Módulo 1. RECURSOS GENÉTICOS. Presentaciones Orales. In: Dini, M.; Speroni, G. (Eds.). Encuentro Nacional sobre Frutos Nativos, 11°. Universidad Tecnológica (UTEC), Durazno, Uruguay, 4 y 5 abril 2024, Libro de resúmenes. Canelones (UY): INIA, 2024. p.4. (Serie Actividades de Difusión; 804) Agradecimientos: A CSIC y CABBIO por la financiación. A las tesistas Jimena Lado, Laura López y María José Peirano. A los productores que generosamente abren sus porteras: Numa Falliveni, Basilio Giménez, Wilman Rodríguez y Joselo Silva.| Biblioteca(s): INIA Las Brujas. |
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| 27. | | KUHN, J.; ROSA, F.Q.; BASSO, C.; NUNES, L.R.; SCOTTA, R.; BECKER, R.; BORGES, A.; BOLZAN, A.S.; JAURENA, M.; BREMM, C.; CARVALHO, P.C.F. Como se comporta o NDVI em diferentes ofertas de forragem? [Resumen]. In: CONGRESO ASOCIACIÓN URUGUAYA DE PRODUCCIÓN ANIMAL (6º, Marzo, 2018, Tacuarembó, Uruguay). Resúmenes. Tacuarembó: AUPA, 2018. p. 77| Biblioteca(s): INIA Tacuarembó. |
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| 28. | | SPERONI, G.; MAZZELLA, C.; PRITSCH, C.; BONIFACINO, M.; VAIO. M.; SOUZA, M.; VÁZQUEZ, S.; GONZÁLEZ, S.; MILLÁN, C.; TRUJILLO, C.; BORGES, A.; VIGNALE, B.; CABRERA, D. Avances en los estudios sobre arazá. [Presentación oral] In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA; MGAP/ DGF (DIRECCIÓN GENERAL FORESTAL); INIA, PROGRAMA NACIONAL PRODUCCIÓN FRUTÍCOLA. 7° Encuentro Nacional sobre Frutos Nativos. Colonia: Estación Experimental "Alberto Boerger", INIA La Estanzuela, 9 y 10 de abril de 2015.| Biblioteca(s): INIA Las Brujas. |
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| 29. | | 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....| Biblioteca(s): INIA La Estanzuela. |
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| 30. | | SPERONI, G.; BONIFACINO, M.; PRITSCH, C.; VAIO, M.; SOUZA-PÉREZ, M.; TRUJILLO, C.; HORMAZA, J. I.; LORA, J.; VIGNALE, B.; CABRERA, D.; IBÁÑEZ, F.; MACHADO, G.; BORGES, A.; TORANZA, C. El arazá en Uruguay: de los bosques nativos al cultivo (CSIC I+D, 2018). In: INIA (Instituto Nacional de Investigación Agropecuaria); Programa Nacional Producción Frutícola. Encuentro Nacional sobre Frutos Nativos, 9°. Fiesta Nacional del Guayabo del País, 1. Centro de Recreación de Paso Severino, Florida; 28-29 de marzo de 2019. Canelones (Uruguay): INIA. p. 9-16. (Serie Actividades de Difusión; 789).| Biblioteca(s): INIA Las Brujas. |
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| 31. | | SPERONI, G.; MAZZELLA, C.; PRITSCH, C.; BONIFACINO, M.; VAIO, M.; SOUZA-PÉREZ, M.; VÁZQUEZ, S.; GONZÁLEZ, S.; MILLÁN, C.; TRUJILLO, C.; QUEZADA, M.; RAFFO, M.; SCALTRITTI, J.; CAZZULLO, Y.; BERNAL, J.; BORGES, A.; VIGNALE, B.; CABRERA, D. Avances en los estudios sobre Arazá. In: INIA (Instituto Nacional de Investigación Agropecuaria), Programa Nacional Producción Frutícola. 7° Encuentro Nacional sobre Frutos Nativos. Colonia (UY): INIA, 2015. p. 1-7 (INIA Serie Actividades de Difusión; 745)| Biblioteca(s): INIA Las Brujas. |
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| 32. | | SPERONI, G.; MAZZELLA, C.; PRITSCH, C.; BONIFACINO, M.; VAIO, M.; SOUZA-PÉREZ, M.; VÁSQUEZ, S.; DA LUZ, C.; TRUJILLO, C.; NÚÑEZ, E.; GONZÁLEZ, M.; ASTIGARRAGA, L.; MACHADO, G.; BORGES, A.; VIGNALE, B.; CABRERA, D. Cuánto conocemos del arazá en Uruguay y sus poblaciones silvestres? In: INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); PROGRAMA NACIONAL PRODUCCIÓN FRUTÍCOLA. 8° Encuentro Nacional sobre Frutos Nativos. Las Brujas, Canelones (Uruguay): INIA, 2017. p. 6-12 (Actividades de Difusión; 772)| Biblioteca(s): INIA Las Brujas. |
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| 33. | | QUEIROZ, C.R.R.; MACHADO, M.; BROMBERGER, C.R; OLIVEIRA-FILHO, J.P.; BORGES, A.S.; SOTO-BLANCO, B.; BORGES, J.R.J.; CÂMARA, A.C.L.; CASTRO, M.B.D. Case report: A possible case of congenital Erythropoietic Porphyria in a gir calf: a clinical, pathological, and molecular approach. Frontiers in Veterinary Science, 12 March 2021, Volume 8, Article number 632762. OPEN ACCESS. Doi: https://doi.org/10.3389/fvets.2021.632762 Article history: Received: 24 November 2020; Accepted: 05 February 2021; Published: 12 March 2021.| Biblioteca(s): INIA Tacuarembó. |
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| 34. | | SOUZA CONGIO, G. F. DE; BANNINK, A.; MAYORGA, MOGOLLÓN, O. L.; NICOLOV HRISTOV, A.; JAURENA, G.; GONDA, H.; GERE, J. I.; CERÓN-CUCCHI, M.E.; ORTIZ-CHURA, A.; TIERI, M.P.; HERNÁNDEZ, O.; RICCI, P.; JULIARENA, M.P.; LOMBARDI, B.; ABDALLA, A.L.; ABDALLA-FILHO, A.L.; BERNDT, A.; ANCHAO OLIVEIRA, P. P.; HENRIQUE, F. L.; GOMEZ MONTEIRO, A.L.; BORGES, L. I.; RIBEIRO-FILHO, H.M.N.; RIBEIRO PEREIRA, L.G.; RIBEIRO TOMICH, T.; MAGALHAES CAMPOS, M.; SAMARINI MACHADO, F.; MARCONDES, M. I.; ZERLOTTI MERCADANTE, M. E.; SANNOMIYA SAKAMOTO, L.; GALVAO ALBUQUERQUE, L.; FACCIO CARVALHO, P. C. DE; ROSSETTO, J.; SAVIAN, J.V.; MAZZA RODRIGUES, P. H.; PERNA JÚNIOR, F.; MOREIRA, T.S.; MAURÍCIO, R. M.; PACHECO RODRIGUES, J.P.; CRUZ BORGES, A.L. DA C.; REIS E SILVA, R.; FERREIRA LAGE, H.; ANDRADE REIS, R.; RUGGIERI, A.C.; CARDOSO, A. DA SILVA; SILVA, S. CARNEIRO DA; BARBOSA CHIAVEGATO, M.; VALADARES-FILHO, S. DE CAMPOS; SILVA, F. A. DE SALES; ZANETTI, D.; BERCHIELLI, T.T.; DUARTE MESSANA, J.; MUÑOZ, C.; ARIZA-NIETO, C.J.; SIERRA-ALARCÓN, L.I.; GUALDRÓN-DUARTE, L.B.; MESTRA-VARGAS, L.I.; MOLINA-BOTERO, I. C.; BARAHONA-ROSALES, R.; ARANGO, J.; GAVIRIA-URIBE, X.; GIRALDO VALDERRAMA, L.A.; ROSERO-NOGUERA, J.R.; POSADA-OCHOA, S.L.; ABARCA-MONGE, SERGIO; SOTO-BLANCO, R.; KU-VERA, J.C.; JIMÉNEZ-OCAMPO, R.; FLORES-SANTIAGO, E. DEL J.; CASTELÁN-ORTEGA, O.A.; VÁZQUEZ-CARRILLO, M.F.; BENAOUDA, M.; GÓMEZ-BRAVO, C. A.; ALVARADO BOLOVICH, V.I.; DÍAZ CÉSPEDES, M.A.; ASTIGARRAGA, L. Enteric methane mitigation strategies for ruminant livestock systems in the Latin America and Caribbean region: a meta-analysis. Journal of Cleaner Production. 2021. v. 312, art. 127693, 13 p. Doi: https://doi.org/10.1016/j.jclepro.2021.127693 Article history: Receiived 22 December 2020; Received in revised form 24 April 2021; Accepted 25 May 2021. Available online 30 May 2021.
Latin America Methane Project Collaborators está integrada por 71 investigadores en este artículo.| Biblioteca(s): INIA Treinta y Tres. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
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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Circulación / Nivel : |
Internacional - -- |
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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 : |
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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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