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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
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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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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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
15/08/2022 |
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Actualizado : |
01/12/2022 |
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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 : |
PASSOS, J.R.S.; GUERREIRO, D.D.; KAMILA S. OTÁVIO; DOS SANTOS-NETO, P.C.; SOUZA-NEVES, M.; CUADRO, F.; NUÑEZ?OLIVERA, R.; CRISPO, M.; VASCONCELOS, F.R.; BEZERRA, M.J.B.; SILVA, R.F.; LIMA, L.F.; FIGUEIREDO, J.R.; BUSTAMANTE-FILHO, I.C.; MENCHACA, A.; MOURA, A.A. |
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Afiliación : |
JOSÉ RENATO S. PASSOS, Laboratory of Animal Physiology, Department of Animal Science, Federal University of Ceará, Fortaleza, Brazil.; DENISE D. GUERREIRO, Laboratory of Animal Physiology, Department of Animal Science, Federal University of Ceará, Fortaleza, Brazil.; OTÁVIO, K.S., Laboratory of Animal Physiology, Department of Animal Science, Federal University of Ceará, Fortaleza, Brazil.; PEDRO C. DOS SANTOS-NETO, Instituto de Reproducción Animal Uruguay, Fundación IRAUy, Montevideo, Uruguay.; MARCELA SOUZA-NEVES, Instituto de Reproducción Animal Uruguay, Fundación IRAUy, Montevideo, Uruguay.; FEDERICO CUADRO, Instituto de Reproducción Animal Uruguay, Fundación IRAUy, Montevideo, Uruguay.; RICHARD NUÑEZ?OLIVERA, Instituto de Reproducción Animal Uruguay, Fundación IRAUy, Montevideo, Uruguay.; MARTINA CRIPO, Unidad de Biotecnología en Animales de Laboratorio, Institut Pasteur de Montevideo, Montevideo, Uruguay.; FÁBIO R. VASCONCELOS, Laboratory of Animal Physiology, Department of Animal Science, Federal University of Ceará, Fortaleza, Brazil.; MARIA JULIA B. BEZERRA, Laboratory of Animal Physiology, Department of Animal Science, Federal University of Ceará, Fortaleza, Brazil.; RENATO F. SILVA, Laboratory of Manipulation of Oocyte and Preantral Follicles (LAMOFOPA), Ceará State University, Fortaleza, Brazil.; LARITZA F. LIMA, Laboratory of Manipulation of Oocyte and Preantral Follicles (LAMOFOPA), Ceará State University, Fortaleza, Brazil.; JOSÉ RICARDO FIGUEIREDO, Laboratory of Manipulation of Oocyte and Preantral Follicles (LAMOFOPA), Ceará State University, Fortaleza, Brazil.; IVAN C. BUSTAMANTE-FILHO, Laboratório de Biotecnologia, Universidade do Vale do Taquari, Lajeado, Brazil.; JOSE ALEJO MENCHACA BARBEITO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Instituto de Reproducción Animal Uruguay, Fundación IRAUy, Montevideo, Uruguay.; ARLINDO A. MOURA, Laboratory of Animal Physiology, Department of Animal Science, Federal University of Ceará, Fortaleza, Brazil. |
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Título : |
How in vitro maturation changes the proteome of ovine cumulus-oocyte complexes?. |
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Complemento del título : |
Volume 89, Issue 10, Pages 459 - 470October 2022 |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Molecular reproduction and development, October 2022, Volume 89, Issue 10, pages 459-470. doi: https://doi.org/10.1002/mrd.23638 |
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DOI : |
10.1002/mrd.23638 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 16 February 2022 | Accepted: 21 July 2022. -- Corresponding author: Moura, A.A.; Laboratory of Animal Physiology, Department of Animal Science, Federal University of Ceará, Fortaleza, Brazil; email:arlindo.moura@gmail.com -- Funding: The experiments presently described were conducted at the facilities of the Instituto de Reproducción Animal Uruguay (Fundacion IRAUy, Montevideo, Uruguay) and at the Unidad de Biotecnología en Animales de Laboratorio (UBAL) of the Institut Pasteur de Montevideo, Uruguay. Specially, the authors thank Dr. Rosario Durán and Dr. Alejandro Leyva for kindly assisting us in the proteomic experiment. Financial support was provided by Fundacion IRAUy; PRONEX 02/2015 (Programa de Apoio a Núcleos de Excelência Pronex/Funcap/CNPq); The Brazilian Research Council-CNPq (grants # 313160/2017-1 and 438773/2018-7); Brazilian Commission for Higher Education (CAPES); Ceará State Foundation for the Support of Technology and Scientific Development (FUNCAP), Brazil. |
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Contenido : |
Abstract: The present study evaluated the effects of in vitro maturation (IVM) on the proteome of cumulus-oocyte complexes (COCs) from ewes. Extracted COC proteins were analyzed by LC-MS/MS. Differences in protein abundances (p < 0.05) and functional enrichments in immature versus in vitro-matured COCs were evaluated using bioinformatics tools. There were 2550 proteins identified in the COCs, with 89 and 87 proteins exclusive to immature and mature COCs, respectively. IVM caused downregulation of 84 and upregulation of 34 proteins. Major upregulated proteins in mature COCs were dopey_N domain-containing protein, structural maintenance of chromosomes protein, ubiquitin-like modifier-activating enzyme 2. Main downregulated proteins in mature COCs were immunoglobulin heavy constant mu, inter-alpha-trypsin inhibitor heavy chain 2, alpha-2-macroglobulin. Proteins exclusive to mature COCs and upregulated after IVM related to immune response, complement cascade, vesicle-mediated transport, cell cycle, and extracellular matrix organization. Proteins of immature COCs and downregulated after IVM were linked to metabolic processes, immune response, and complement cascade. KEGG pathways and miRNA-regulated genes attributed to downregulated and mature COC proteins related to complement and coagulation cascades, metabolism, humoral response, and B cell-mediated immunity. Thus, IVM influenced the ovine COC proteome. This knowledge supports the future development of efficient IVM protocols for Ovis aries. © 2022 Wiley Periodicals LLC. MenosAbstract: The present study evaluated the effects of in vitro maturation (IVM) on the proteome of cumulus-oocyte complexes (COCs) from ewes. Extracted COC proteins were analyzed by LC-MS/MS. Differences in protein abundances (p < 0.05) and functional enrichments in immature versus in vitro-matured COCs were evaluated using bioinformatics tools. There were 2550 proteins identified in the COCs, with 89 and 87 proteins exclusive to immature and mature COCs, respectively. IVM caused downregulation of 84 and upregulation of 34 proteins. Major upregulated proteins in mature COCs were dopey_N domain-containing protein, structural maintenance of chromosomes protein, ubiquitin-like modifier-activating enzyme 2. Main downregulated proteins in mature COCs were immunoglobulin heavy constant mu, inter-alpha-trypsin inhibitor heavy chain 2, alpha-2-macroglobulin. Proteins exclusive to mature COCs and upregulated after IVM related to immune response, complement cascade, vesicle-mediated transport, cell cycle, and extracellular matrix organization. Proteins of immature COCs and downregulated after IVM were linked to metabolic processes, immune response, and complement cascade. KEGG pathways and miRNA-regulated genes attributed to downregulated and mature COC proteins related to complement and coagulation cascades, metabolism, humoral response, and B cell-mediated immunity. Thus, IVM influenced the ovine COC proteome. This knowledge supports the future development of efficient IVM protocols ... Presentar Todo |
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Palabras claves : |
FOLLICLE; OVARY; OVINE; PLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL; PLATAFORMA DE SALUD ANIMAL; PROTEINS; REPRODUCTION. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03782naa a2200409 a 4500
001 1063525
005 2022-12-01
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1002/mrd.23638$2DOI
100 1 $aPASSOS, J.R.S.
245 $aHow in vitro maturation changes the proteome of ovine cumulus-oocyte complexes?.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 16 February 2022 | Accepted: 21 July 2022. -- Corresponding author: Moura, A.A.; Laboratory of Animal Physiology, Department of Animal Science, Federal University of Ceará, Fortaleza, Brazil; email:arlindo.moura@gmail.com -- Funding: The experiments presently described were conducted at the facilities of the Instituto de Reproducción Animal Uruguay (Fundacion IRAUy, Montevideo, Uruguay) and at the Unidad de Biotecnología en Animales de Laboratorio (UBAL) of the Institut Pasteur de Montevideo, Uruguay. Specially, the authors thank Dr. Rosario Durán and Dr. Alejandro Leyva for kindly assisting us in the proteomic experiment. Financial support was provided by Fundacion IRAUy; PRONEX 02/2015 (Programa de Apoio a Núcleos de Excelência Pronex/Funcap/CNPq); The Brazilian Research Council-CNPq (grants # 313160/2017-1 and 438773/2018-7); Brazilian Commission for Higher Education (CAPES); Ceará State Foundation for the Support of Technology and Scientific Development (FUNCAP), Brazil.
520 $aAbstract: The present study evaluated the effects of in vitro maturation (IVM) on the proteome of cumulus-oocyte complexes (COCs) from ewes. Extracted COC proteins were analyzed by LC-MS/MS. Differences in protein abundances (p < 0.05) and functional enrichments in immature versus in vitro-matured COCs were evaluated using bioinformatics tools. There were 2550 proteins identified in the COCs, with 89 and 87 proteins exclusive to immature and mature COCs, respectively. IVM caused downregulation of 84 and upregulation of 34 proteins. Major upregulated proteins in mature COCs were dopey_N domain-containing protein, structural maintenance of chromosomes protein, ubiquitin-like modifier-activating enzyme 2. Main downregulated proteins in mature COCs were immunoglobulin heavy constant mu, inter-alpha-trypsin inhibitor heavy chain 2, alpha-2-macroglobulin. Proteins exclusive to mature COCs and upregulated after IVM related to immune response, complement cascade, vesicle-mediated transport, cell cycle, and extracellular matrix organization. Proteins of immature COCs and downregulated after IVM were linked to metabolic processes, immune response, and complement cascade. KEGG pathways and miRNA-regulated genes attributed to downregulated and mature COC proteins related to complement and coagulation cascades, metabolism, humoral response, and B cell-mediated immunity. Thus, IVM influenced the ovine COC proteome. This knowledge supports the future development of efficient IVM protocols for Ovis aries. © 2022 Wiley Periodicals LLC.
653 $aFOLLICLE
653 $aOVARY
653 $aOVINE
653 $aPLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL
653 $aPLATAFORMA DE SALUD ANIMAL
653 $aPROTEINS
653 $aREPRODUCTION
700 1 $aGUERREIRO, D.D.
700 1 $aKAMILA S. OTÁVIO
700 1 $aDOS SANTOS-NETO, P.C.
700 1 $aSOUZA-NEVES, M.
700 1 $aCUADRO, F.
700 1 $aNUÑEZ?OLIVERA, R.
700 1 $aCRISPO, M.
700 1 $aVASCONCELOS, F.R.
700 1 $aBEZERRA, M.J.B.
700 1 $aSILVA, R.F.
700 1 $aLIMA, L.F.
700 1 $aFIGUEIREDO, J.R.
700 1 $aBUSTAMANTE-FILHO, I.C.
700 1 $aMENCHACA, A.
700 1 $aMOURA, A.A.
773 $tMolecular reproduction and development, October 2022, Volume 89, Issue 10, pages 459-470. doi: https://doi.org/10.1002/mrd.23638
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