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Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy.
Registro completo
Biblioteca (s) :  INIA La Estanzuela.
Fecha :  01/06/2020
Actualizado :  01/06/2020
Tipo de producción científica :  Abstracts/Resúmenes
Autor :  MORALES-PIÑEYRUA, J.; PLA, M.; FARIÑA, S.; GONZALEZ, D.; BANCHERO, G.; SANT`ANNA, A.C.
Afiliación :  JESSICA TATIANA MORALES PIÑEYRUA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCELO PLA TEJERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria); DAMIAN GASTON GONZALEZ PINO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALINE CRISTINA SANT`ANNA, Departamento de Zoología, Universidad Federal de Juiz de Fora Brasil.
Título :  Dairy cows' behavior during adaptation to a voluntary milking system.
Fecha de publicación :  2019
Fuente / Imprenta :  In: 6th international symposium for farming systems design (FSD6): Agricultural systems designs sustained by nature. Montevideo (Uruguay): Farming Systems Design community; Universidad de la República (Uruguay), 2019.
Idioma :  Inglés
Contenido :  Conclusions: The relocation of the cows from the CMS to the VMS did not affect negatively their behavior The fact that cows initiated their lactation in the CMS could have reduced the cow?s natural reactiveness to the new milking process itself which could be arguably as equal or more stressful than the change of milking system once the cows are already in lactation The behavioral classification in one system (in this case, CMS) allowed to predict the behavior in the other system ( since the differences between categories were maintained The milking reactivity as a measure of temperament appears as a promising powerful tool to identify cows that could adapt more easily to both milking systems However all these topics warrant more research.
Palabras claves :  CONVENTIONAL MILKING SYSTEM(CMS); DAIRY COW; VOLUNTARY MILKING SYSTEM(VMS).
Thesagro :  VACAS LECHERAS.
Asunto categoría :  L01 Ganadería
Marc :  Presentar Marc Completo
Registro original :  INIA La Estanzuela (LE)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LE103132 - 1PXIPC - DD6th/Int.Symp.Farm.Syst.Design/2019

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Registro completo
Biblioteca (s) :  INIA La Estanzuela; INIA Las Brujas; INIA Treinta y Tres.
Fecha actual :  14/02/2022
Actualizado :  14/03/2022
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  GRAHMANN, K.; TERRA, J.A.; ELLERBROCK, R.; RUBIO, V.; BARRO, R.; CAMAÑO, A.; QUINCKE, A.
Afiliación :  KATHRIN GRAHMANN, Leibniz Centre for Agricultural Landscape Research (ZALF); Eberswalder Str.84, 15374 Müncheberg, Germany; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RUTH ELLERBROCK, Leibniz Centre for Agricultural Landscape Research (ZALF); Eberswalder Str.84, 15374 Müncheberg; VALENTINA RUBIO DELLEPIANE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAQUEL BARRO, Postdoctoral Scholarship ANII (National agency of innovation and research, Uruguay); ALEJANDRO CAMAÑO, Service Unit for the Evaluation of Quality and Environmental Control, Department of Environmental Development, Intendancy of Montevideo, Uruguay; JUAN ANDRES QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título :  Data accuracy and method validation of chemical soil properties in long-term experiments: Standard operating procedures for a non-certified soil laboratory in Latin America.
Fecha de publicación :  2022
Fuente / Imprenta :  Geoderma Regional, 2022. Volume 28, Article number e00487. OPEN ACCESS. doi: https://doi.org/10.1016/j.geodrs.2022.e00487
DOI :  10.1016/j.geodrs.2022.e00487
Idioma :  Inglés
Notas :  Article history: Received 9 May 2021, Revised 20 December 2021, Accepted 2 February 2022, Available online 6 February 2022.
Contenido :  ABSTRACT.- Long-term agricultural experiments (LTE) are essential to detect cumulative treatment effects on soil properties and to design sustainable production systems. However, to ensure high quality of long-term soil data and their correct interpretation, several analytical issues regarding the accuracy and analytical laboratory bias need to be considered. This paper aims to (1) evaluate laboratory precision and trueness of analytical soil data for the evaluation of long-term trends in LTE and to (2) assess the limitations and challenges for non-certified soil laboratories that might compromise the quality of analytical soil data. A data set of internal reference soil materials (IRM) collected over 16?years and interlaboratory data from eleven years were analyzed to verify method precision, trueness, and the subsequent long-term dataset reliability for several soil quality parameters: organic carbon (SOC, determined either by wet or dry combustion), pH (water), extractable phosphorous (either Bray I or citric acid; Bray-P or citric acid-P), and exchangeable potassium (Kexch). Results showed that IRM used by the laboratory were homogenous in terms of physical and chemical composition and appropriate to confirm the precision of long-term soil survey data. The relative standard deviation for repeatability and reproducibility (RSDR) ranged from 1.5% for SOC by wet combustion to 9.5% for citric acid-P. HorRat values (the ratio of the estimated standard deviations of reproducib... Presentar Todo
Palabras claves :  Data precision; Internal reference material; Repeatability; Reproducibility; Soil organic carbon; Trueness; URUGUAY.
Asunto categoría :  P30 Ciencia del suelo y manejo del suelo
URL :  https://www.sciencedirect.com/science/article/pii/S2352009422000074/pdf?md5=8d5a81ff8de54639cfdb18c6fdec1c4a&pid=1-s2.0-S2352009422000074-main.pdf
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB102999 - 1PXIAP - DDPP/Geoderma Regiona/2022
LE103493 - 1PXIAP - DDPP/Geoderma Regiona/2022
TT103470 - 1PXIAP - DDPP/Geoderma Regiona/2022
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