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| Registros recuperados : 129 | |
| 101. |  | GARCIA-ROCHE, M.; CAÑIBE, G.; ASTESSIANO, A.; TALMON, D.; MENDOZA, A.; CASSINA, A.; QUIJANO, C.; CARRIQUIRY, M. O14 Hepatic energy reserves and carnitine palmitoyltransferase activity in grazing dairy cows of two pasture-based systems during lactation. [conference abstract] Animal - science proceedings, August 2022, Volume 13, Issue 3, pages 260-261. https://doi.org/10.1016/j.anscip.2022.07.024 Article histrory: Available online 16 September 2022, Version of Record 16 September 2022. -- Funding: MGR was supported by CAP fellowship BDDX_2018_1#49004502. The project was funded by CSIC I+D 2018 ID 103 awarded to MC and CQ and by...| Biblioteca(s): INIA Las Brujas. |
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| 104. | | CARTAYA, A.; TECHEIRA, N.; KEEL, K.; GARAY, A.; HARTE, F.; MENDOZA, A.; FARIÑA, S.; LÓPEZ-PEDEMONTE, T. + Pasto = Leche con + ácidos grasos saludables. Agroalimentos. Revista INIA Uruguay, Marzo 2024, no.76, p.42-46. (Revista INIA; 76).| Biblioteca(s): INIA Las Brujas. |
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| 107. | | MENDOZA, A.; CAJARVILLE, C.; PASTORINI, M.; CONSTANTIN, M.; HIRIGOYEN, D.; REPETTO, J. Perfil de ácidos grasos en leche de vacas alimentadas con dietas que combinan forraje fresco y ración totalmente mezclada. In: JORNADAS URUGUAYAS DE BUIATRÍA, 43., 2015, PAYSANDÚ, UY.; GIANNEECHINI, E.; MATTO, C. (Ed.). [Trabajos presentados]. Paysandú: Centro Médico Veterinario de Paysandú/Sociedad Uruguaya de Buiatría. p. 252-254.| Biblioteca(s): INIA La Estanzuela. |
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| 108. | | JORGE-SMEDING, E.; CARRIQUIRY, M.; CANTALAPIEDRA-HIJAR, G.; MENDOZA, A.; ASTESSIANO, A.L. Plasma concentrations of branched-chain amino acids differ with Holstein genetic strain in pasture-based dairy systems.
. Scientific Reports, December 2021, Volume 11, Issue 1, Article number 22414. Open Access. doi: https://doi.org/10.1038/s41598-021-01564-0 Article history: Received 11 May 2021; Accepted 09 September 2021; Published 17 November 2021.
Correspondence author: Astessiano, A.L.; Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República,...| Biblioteca(s): INIA Las Brujas. |
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| 109. | | DE LA QUINTANA, E; MENDOZA, A.; CAJARVILLE, C.; BENTANCUR, O.; REPETTO, J. Post-weaning feeding levels on feeding behavior, growth and development in Holstein dairy heifers. (Efeito dos níveis de alimentação pós-desmame sobre o comportamento ingestivo, crescimento e desenvolvimento em novilhas leiteiras da raça Holandés). Ciencia Rural, 48(3), art. no. e20161083, 2018. Article history: Received on July 3, 2015. //Accepted for publication on August 30, 2016.| Biblioteca(s): INIA La Estanzuela. |
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| 110. | | PASTORINI, M.; POMIÉS, N.; REPETTO, J.; MENDOZA, A.; CAJARVILLE, C. Productive performance and digestive response of dairy cows fed different diets combining a total mixed ration and fresh forage. Journal of Dairy Science, May 2019, Volume 102, Issue 5, Pages 4118-4130. Article history: Received July 16, 2018. //Accepted January 2, 2019.| Biblioteca(s): INIA La Estanzuela. |
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| 111. | | FARIÑA, S.; STIRLING, S.; MARTÍNEZ, R.; MENDOZA, A.; MORALES-PIÑEYRUA, J.; HIRIGOYEN, D.; CARTAYA, A. Proyecto 10-mil: módulos de intensificación lechera Revista INIA Uruguay, 2018, no. 53, p. 22-26. (Revista INIA; 53). Además, en el marco del proyecto participan 5 estudiantes de Maestría, 3 estudiantes de Doctorado y 15 estudiantes realizaron pasantías o trabajos de fin de carrera de Escuelas Agrarias o carreras de UDE y UdelaR.| Biblioteca(s): INIA La Estanzuela. |
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| 113. | | SANTANA,A.; MENDOZA, A.; CAJARVILLE, C.; REPETTO, J.L. ¿Qué debemos cambiar para que la pasturas sigan teniendo una participación importante en la lechería del futuro?. In: Jornadas Uruguayas de Buiatría, 45., 2017, Paysandú, Uy., Matto, C.; Delpiazzo, R.(Ed.). Trabajos presentados. Paysandú: Centro Médico Veterinario de Paysandú/Sociedad Uruguaya de Buiatría, 2017. p.51-57.| Biblioteca(s): INIA La Estanzuela. |
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| 117. | | CAPELESSO, A.; KOZLOSKI, G.; MENDOZA, A.; PLA, M.; REPETTO, J.; CAJARVILLE, C. Reducing milking frequency in early lactation improved the energy status but reduced milk yield during the whole lactation of primiparous Holstein cows consuming a total mixed ration and pasture. Journal of Dairy Science, October 2019, Volume 102, Issue 10, Pages 8919-8930. Article history: Received March 15, 2019. / Accepted June 21, 2019.| Biblioteca(s): INIA La Estanzuela. |
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| 119. | | AGUERRE, M.; REPETTO, J.L.; PÉREZ-RUCHEL, A.; MENDOZA, A.; PINACCHIO, G.; CAJARVILLE, C. Rumen pH and NH3-N concentration of sheep fed temperate pastures and supplemented with sorghum grain. South African Journal of Animal Science, v.39, n.5., p. 246-250, 2009.| Biblioteca(s): INIA La Estanzuela. |
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| 120. | | MENDOZA, A.; CAJARVILLE, C.; REPETTO, J.L. Short communication: Intake, milk production, and milk fatty acid profile of dairy cows fed diets combining fresh forage with a total mixed ration. Journal of Dairy Science, 2016, v.99, no.3, p.1938-1944. Received 14 August 2015, Accepted 15 November 2015, Available online 6 January 2016| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 129 | |
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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 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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