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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
02/06/2022 |
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Actualizado : |
02/06/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MACHADO, M.; QUEIROZ, CINTIA R.R.; WILSON, T. M.; SOUSA, D.E.R.; SOTO-BLANCO, B.; ARMIÉN, A.G.; BARROS, S.S.; RIET-CORREA, F.; CASTRO, M.B. |
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Afiliación : |
MIZAEL MACHADO DA COSTA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CINTIA R.R.QUEIROZ, Department of Veterinary Clinics and Surgery, Veterinary College, Federal University of Minas Gerais, Minas Gerais, Belo Horizonte, Brazil; TAIS M. WILSON, Veterinary Pathology Laboratory, Veterinary Teaching Hospital, University of Brasilia, Distrito Federal, Brasília, Brazil; C , DAVI E.R. SOUSA, Veterinary Pathology Laboratory, Veterinary Teaching Hospital, University of Brasilia, Distrito Federal, Brasília, Brazil; BENITO SOTO-BLANCO, Department of Veterinary Clinics and Surgery, Veterinary College, Federal University of Minas Gerais, Minas Gerais, Belo Horizonte, Brazil; ANÍBAL G. ARMIÉN, California Animal Health & Food Safety Laboratory System (CAHFS), School of Veterinary Medicine, University of California, Davis, United States; SEVERO S. BARROS, Department of Veterinary Pathology, University of Santa Maria, Rio Grande do Sul, Brazil; FRANKLIN RIET-CORREA AMARAL, Postgraduate Program in Animal Science in the Tropics, Federal University of Bahia, Bahia, Salvador, Brazil; MÁRCIO B. CASTRO, Veterinary Pathology Laboratory, Veterinary Teaching Hospital, University of Brasilia, Brasília, Distrito Federal, Brazil. |
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Título : |
Neurological and gastrointestinal manifestations of spontaneous poisoning by Ricinus communis in goats. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Toxicon, July 2022, vol. 214, pages 74-77. doi: https://doi.org/10.1016/j.toxicon.2022.05.004 |
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ISSN : |
0041-0101 |
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DOI : |
10.1016/j.toxicon.2022.05.004 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 20 April 2022; Received in revised form 4 May 2022; Accepted 13 May 2022; Available online 20 May 2022.
Corresponding author: Machado, M.; Instituto Nacional de Investigación Agropecuaria, Plataforma de Salud Animal, Estación Experimental INIA Tacuarembó, Tacuarembó, Uruguay; email:mizaelmachado@hotmail.com -- This research was financed in part by the Coordination for the Improvement of Higher Education Personnel - Brazil ( CAPES ) - Finance Code 001 . We thank the National Council for Scientific and Technological Development ( CNPq ) for the Research Productivity grant (PQ), process n. 307909/2021-2 . |
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Contenido : |
ABSTRACT - An outbreak of Ricinus communis poisoning in goats with neurological and digestive changes was related to the ingestion of different vegetative parts of the plant. Two poisoned animals died within 5 h of the plant intake showing necrotic gastroenteritis and hepatocytes degeneration and necrosis. Toxicological analysis by HPLC-DAD assay demonstrated 21.1?25.1 μg/g of ricinine in samples of ruminal fluids and 10.1?10.9 μg/g in the liver of poisoned goats. © 2022 |
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Palabras claves : |
Castor oil plant; Gastroenteritis; Neurological signs; PLATAFORMA SALUD ANIMAL; Poisonous plants; Ricinine. |
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Asunto categoría : |
L20 Ecología animal |
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Marc : |
LEADER 02109naa a2200325 a 4500
001 1063195
005 2022-06-02
008 2022 bl uuuu u00u1 u #d
022 $a0041-0101
024 7 $a10.1016/j.toxicon.2022.05.004$2DOI
100 1 $aMACHADO, M.
245 $aNeurological and gastrointestinal manifestations of spontaneous poisoning by Ricinus communis in goats.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 20 April 2022; Received in revised form 4 May 2022; Accepted 13 May 2022; Available online 20 May 2022. Corresponding author: Machado, M.; Instituto Nacional de Investigación Agropecuaria, Plataforma de Salud Animal, Estación Experimental INIA Tacuarembó, Tacuarembó, Uruguay; email:mizaelmachado@hotmail.com -- This research was financed in part by the Coordination for the Improvement of Higher Education Personnel - Brazil ( CAPES ) - Finance Code 001 . We thank the National Council for Scientific and Technological Development ( CNPq ) for the Research Productivity grant (PQ), process n. 307909/2021-2 .
520 $aABSTRACT - An outbreak of Ricinus communis poisoning in goats with neurological and digestive changes was related to the ingestion of different vegetative parts of the plant. Two poisoned animals died within 5 h of the plant intake showing necrotic gastroenteritis and hepatocytes degeneration and necrosis. Toxicological analysis by HPLC-DAD assay demonstrated 21.1?25.1 μg/g of ricinine in samples of ruminal fluids and 10.1?10.9 μg/g in the liver of poisoned goats. © 2022
653 $aCastor oil plant
653 $aGastroenteritis
653 $aNeurological signs
653 $aPLATAFORMA SALUD ANIMAL
653 $aPoisonous plants
653 $aRicinine
700 1 $aQUEIROZ, CINTIA R.R.
700 1 $aWILSON, T. M.
700 1 $aSOUSA, D.E.R.
700 1 $aSOTO-BLANCO, B.
700 1 $aARMIÉN, A.G.
700 1 $aBARROS, S.S.
700 1 $aRIET-CORREA, F.
700 1 $aCASTRO, M.B.
773 $tToxicon, July 2022, vol. 214, pages 74-77. doi: https://doi.org/10.1016/j.toxicon.2022.05.004
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
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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Circulación / Nivel : |
Internacional - -- |
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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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