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Biblioteca (s) :  INIA Las Brujas.
Fecha :  21/02/2014
Actualizado :  18/12/2018
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Autor :  AGUILAR, I.; MISZTAL, I.
Afiliación :  IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Animal and Dairy Science Department, University of Georgia, United States.; I. MISZTAL, Animal and Dairy Science Department, University of Georgia, United States.
Título :  Technical Note: Recursive Algorithm for Inbreeding Coefficients Assuming Nonzero Inbreeding of Unknown Parents.
Fecha de publicación :  2008
Fuente / Imprenta :  Journal of Dairy Science, 2008, 91 (4): 1669-1672.
ISSN :  0022-0302
DOI :  10.3168/jds.2007-0575
Idioma :  Inglés
Notas :  Article history: Received August 3, 2007. // Accepted December 17, 2007.
Contenido :  ABSTRACT. A recursive algorithm to calculate inbreeding coefficients was modified to account for nonzero inbreeding of unknown parents. The modification was done by changing one part of a recursive formula in which the inbreeding of an animal with at least one unknown parent is not zero and replacing it by the mean inbreeding of all animals born the same year. The algorithm is iterative. Testing involved 17 million US Holsteins. Convergence was reached in 6 rounds. The computing time per round was 4 min, twice as fast as the VanRaden algorithm based on the tabular method. The recursive algorithm is very simple; however, it requires that the recursion takes into account the order of animals. After a simple modification, the algorithm provides a very good approximation of inbreeding when the pedigree is unordered. © American Dairy Science Association, 2008.
Palabras claves :  INBREEDING COEFFICIENT; RECURSIVE ALGORITHM; UNKNOWN PARENT.
Asunto categoría :  --
URL :  http://www.ainfo.inia.uy/digital/bitstream/item/12201/1/Technical-note-recursive-algorithm-for-i.pdf
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB12839 - 1PXIAP - PPPP/JR. DAIRY SCIENCE/2008

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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; INIA Tacuarembó.
Fecha actual :  11/05/2020
Actualizado :  27/01/2021
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  LÓPEZ-GONZÁLEZ, F.A.; RODRIGO ALLENDE, R.; SOARES DE LIMA, J.M.; CANOZZI, M.E.A.; GIL, A.; BARCELLOS, J.O.J.
Afiliación :  FREDY ANDREY LÓPEZ-GONZÁLEZ, Department of Animal Science, Federal University of Rio Grande do Sul, 7.712 Bento Gonçalves Ave., Porto Alegre, Rio Grande do Sul 91540-000, Brazil.; RODRIGO ALLENDE, Department of Animal Science, Faculty of Veterinary Sciences, University of Concepción, Chillán, Chile.; JUAN MANUEL SOARES DE LIMA LAPETINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA EUGENIA ANDRIGHETTO CANOZZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; AMIR GIL, Sessim Department of Animal Science, Federal University of Rio Grande do Sul, 7.712 Bento Gonçalves Ave., Porto Alegre, Rio Grande do Sul 91540-000, Brazil.; JÚLIO OTÁVIO JARDIM BARCELLOS, Department of Animal Science, Federal University of Rio Grande do Sul, 7.712 Bento Gonçalves Ave., Porto Alegre, Rio Grande do Sul 91540-000, Brazil.
Título :  Intensification of cow-calf production: How does the system respond biologically to energy inputs in a long-term horizon?.
Fecha de publicación :  2020
Fuente / Imprenta :  Livestock Science, Volume 237, July 2020, 104058. Doi: https://doi.org/10.1016/j.livsci.2020.104058.
DOI :  10.1016/j.livsci.2020.104058
Idioma :  Inglés
Notas :  Article history: Received 21 August 2019// Received in revised form 22 March 2020// Accepted 9 April 2020 //Available online 26 April 2020- Corresponding author. E-mail address: julio.barcellos@ufrgs.br (J.O.J. Barcellos).This study was ?nanced in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) Finance Code 001.
Contenido :  Abstract: In southern Brazil, beef cattle production systems generally rely on grazing on natural pastures. However, their forage production, and consequently metabolizable energy (ME) production, is seasonal and influenced by climatic events. Thus, there is a scientific and commercial interest in evaluating and understanding the biological impacts of intensification using pasture irrigation and the effects of El Niño-Southern Oscillation (ENSO) phenomena on the long term on the productivity of cow-calf systems. Therefore, our objective was to develop a simulation model to evaluate the effects of intensification levels, using cultivated pastures and irrigation, on the productivity and on the efficiency metabolizable energy utilization of beef cow-calf systems in a 10-year horizon. This period allows capturing the effects of several production cycles as influenced by ENSO events. The model includes three submodels: herd structure, herd ME requirements, and forage ME production. The results of the present study demonstrate that the proposed model is able to evaluate the influence of intensification of grazing systems on metabolizable energy production, carrying capacity, productivity and biological efficiency of beef cow-calf systems over a long-term horizon. Productivity was increased in 15.9% when 20% of the grazing area was intensified and irrigated compared with the modeled non-intensified system, independently of climatic events. The main productive response was the incre... Presentar Todo
Palabras claves :  BIOLOGICAL EFFICENCY; EL NIÑO-SOUTHERN OSCILLATION(ENSO); HERD STRUCTURE; INTENSIFICACIÓN DE LA PRODUCCIÓN; IRRIGATION MODELING.
Asunto categoría :  L01 Ganadería
Marc :  Presentar Marc Completo
Registro original :  INIA La Estanzuela (LE)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LE103116 - 1PXIAP - DDPP/Livestock Science /2020
TBO103198 - 1PXIAP - DDPP/Livestock Science /2020
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