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Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy.
Registro completo
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 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 :  Presentar Marc Completo
Registro original :  INIA Treinta y Tres (TT)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
TT102587 - 1PXIAP - DDPP/CROP-SCIENCE/2018

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Registro completo
Biblioteca (s) :  INIA La Estanzuela.
Fecha actual :  19/05/2021
Actualizado :  05/09/2022
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  DONCEL, B.; PUENTES, J.D.; CAFFARENA, D.; RIET-CORREA, F.; COSTA, R.A. DA; GIANNITTI, F.
Afiliación :  BENJAMÍN DONCEL DÍAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./ Universidad Nacional de Colombia, Sede Bogotá, Facultad de Medicina Veterinaria y de Zootecnia, Laboratorio de Patología Veterinaria.; JUAN D. PUENTES, Universidad Nacional de Colombia, Sede Bogotá, Facultad de Medicina Veterinaria y de Zootecnia, Laboratorio de Patología Veterinaria; RUBEN DARÍO CAFFARENA LEDESMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./ Departamento de Patología y Clínica de Rumiantes y Suinos, Facultad de Veterinaria, Universidad de la República (UdelaR), Montevideo, Uruguay.; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Graduate Program in Animal Science in the Tropics, Faculdade de Veterinária, Universidade Federal da Bahia (UFBA), Brazil.; RICARDO ALMEIDA DA COSTA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título :  Hypomagnesemia in beef cattle.[Hipomagnesemia em bovinos de corte.]
Fecha de publicación :  2021
Fuente / Imprenta :  Pesquisa Veterinária Brasileira, vol 41:e06826, 2021. Doi:https://doi.org/10.1590/1678-5150-pvb-6826
DOI :  10.1590/1678-5150-pvb-6826
Idioma :  Inglés
Notas :  Article history: Received on December 7, 2020./Accepted for publication on December 21, 2020.
Contenido :  ABSTRACT. Hypomagnesemia is a major cause of death in grazing beef cows in countries of the Southern Hemisphere such as Argentina, Australia and New Zealand. Here we review the literature on hypomagnesemia in beef cattle and describe an outbreak in Uruguay. The disease occurred in late autumn, affecting 6 to 11-year-old Aberdeen Angus and Hereford x Aberdeen Angus lactating multiparous cows in good body condition, grazing on natural grasslands that had been improved by fertilization and sowing of seeds of ryegrass and oat. Approximately 40 out of 225 cows were affected and 24 (10.7%) died. A presumptive diagnosis of hypomagnesemia was established based on sudden death, acute neuromuscular clinical signs, epidemiological data, and the response to Mg administration. The diagnosis was confirmed by detecting low Mg concentrations in serum (0.47-0.57mmol/L), vitreous humor (0.47-0.80mmol/L), aqueous humor (0.66mmol/L) and cerebrospinal fluid (0.59mmol/L). The largest component of the diet corresponding to fast-growing and exuberant forages of ryegrass and oat had high concentrations of K (3.48%), N (4.38%) and P (0.94%), suggesting secondary hypomagnesemia. In addition, the K/(Ca+Mg) ratio was 2.38 in forages of ryegrass and oat (reference value: 2.2), and 0.15 in the soil (reference value: 0.09), which represent risk factors for hypomagnesemia. In conclusion, hypomagnesemia is an important cause of mortality in beef cattle grazing improved natural grasslands in Uruguay and ... Presentar Todo
Palabras claves :  CATTLE; Grazing beef cattle; Hypomagnesemia; Improved natural pastures; MORTALITY; OAT; PLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL; PLATAFORMA DE SALUD ANIMAL; RYEGRASS.
Thesagro :  GANADO DE CORTE; URUGUAY.
Asunto categoría :  L73 Enfermedades de los animales
URL :  http://www.ainfo.inia.uy/digital/bitstream/item/16711/1/Pesq.-Vet.-Bras.-41e06826-2021.pdf
https://www.scielo.br/pdf/pvb/v41/1678-5150-pvb-41-e06826.pdf
Marc :  Presentar Marc Completo
Registro original :  INIA La Estanzuela (LE)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LE103366 - 1PXIAP - DDPP/Pesq. Vet. Bras./vol.41/2021
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