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Biblioteca (s) :  INIA La Estanzuela.
Fecha :  19/03/2021
Actualizado :  22/03/2021
Tipo de producción científica :  Trabajos en Congresos/Conferencias
Autor :  FERNANDEZ, E.; SOARES DE LIMA, J.M.; FERRARO, B.; LANFRANCO, B.
Afiliación :  ENRIQUE GENARO FERNANDEZ RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN MANUEL SOARES DE LIMA LAPETINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO FERRARO ALBERTONI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO ANTONIO LANFRANCO CRESPO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título :  Technology adoption, production performance and factors driving farmers' decision making process in beef cattle farms in Uruguay.
Fecha de publicación :  2019
Fuente / Imprenta :  In: 23rd ICABR (Intenational Consortium on Applied Bioeconomy Research) Conference,4-7 June 2019, Ravello, Italy. [Trabajo en Congreso + Poster + Presentación Oral].
Idioma :  Inglés
Contenido :  Abstract: In 2016, the Sustainable Development Solutions Network (SDSN) project issued the first report with the Agricultural Transformation Pathways (ATP) for Uruguay and two other selected study cases. Beef is one of the main agri-food chains included in Uruguay´s first studies given is the country´s main export, production is the largest in terms of land used (12,6 million ha) and farms involved (44780). After setting Sustainable Development Goals (SDG)-consistent ATPs, the proposed ?backcasting? methodology includes the identification of roadblocks to overcome to transition. Using data from the National Cattle Farm Survey 2016 (1298 farms) this paper addresses the relationship between farm business orientation, farm size, technological level, and production performance. The objective is to understand the main constraints to the adoption of technology and the driving factors to consider in the design of future assistance programs. Cattle farms were classified according to their livestock business main orientation. A Technological Index (TI) was developed and calculated for each farm using data of application of specific production practices, farm production efficiency indicators and the extension and type of improved pastures in the farm. Results show a strong and increasing relationship trend between farm size, technological level, production performance and net income, particularly for cow-calf operations. Available facilities for specific technology implementation a... Presentar Todo
Palabras claves :  DEVELOPMENT; LIVESTOCK PRODUCTION; SDSN; SUSTAINABLE INTENSIFICATION; TECHNOLOGY ADOPTION.
Thesagro :  APPLIED ECONOMY UNIT; BEEF CATTLE; ECONOMY PROGRAM; PRODUCTION SYSTEMS; PROGRAMA DE ECONONÍA; SISTEMAS DE PRODUCCIÓN; UNIDAD ECONOMIA APLICADA - INIA.
Asunto categoría :  A50 Investigación agraria
URL :  http://www.ainfo.inia.uy/digital/bitstream/item/15369/1/ICABR-2019-Paper-225.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/15370/1/Poster-paper-225-Ravello.pdf
Marc :  Presentar Marc Completo
Registro original :  INIA La Estanzuela (LE)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LE103295 - 1PXIPC - DD

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Biblioteca (s) :  INIA La Estanzuela.
Fecha actual :  29/07/2020
Actualizado :  05/09/2022
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  CASTELLS, M.; CAFFARENA, D.; CASAUX, M.L.; SCHILD, C.; MIÑO, S.; CASTELLS, F.; CASTELLS, D.; VICTORIA, M.; RIET-CORREA, F.; GIANNITTI, F.; PAREÑO, V.; COLINA, R.
Afiliación :  MATÍAS CASTELLS BAUER, Laboratorio de Virología Molecular, CENUR Litoral Norte, Centro Universitario de Salto, Universidad de la República, Rivera 1350, Salto 50000, Uruguay./INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RUBEN DARÍO CAFFARENA LEDESMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./ Facultad de Veterinaria, Universidad de la República, Alberto Lasplaces 1620, Montevideo 11600, Uruguay.; MARÍA LAURA CASAUX, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS SCHILD, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SAMUEL MIÑO, Sección de Virus Gastroentéricos, Instituto de Virología, CICVyA, INTA Castelar, Buenos Aires 1686, Argentina.; FELIPE CASTELLS, Doctor en Veterinaria en Ejercicio Libre, Asociado al Laboratorio de Virología Molecular, CENUR Litoral Norte, Centro Universitario de Salto, Universidad de la República, Rivera 1350, Salto 50000, Uruguay.; DANIEL CASTELLS, Centro de Investigación y Experimentación Dr. Alejandro Gallinal, Secretariado Uruguayo de la Lana, Ruta 7 km 140, Cerro Colorado, Florida 94000, Uruguay.; MATIAS VICTORIA, Laboratorio de Virología Molecular, CENUR Litoral Norte, Centro Universitario de Salto, Universidad de la República, Rivera 1350, Salto 50000, Uruguay.; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VIVIANA PAREÑO, Sección de Virus Gastroentéricos, Instituto de Virología, CICVyA, INTA Castelar, Buenos Aires 1686, Argentina; RODNEY COLINA, Laboratorio de Virología Molecular, CENUR Litoral Norte, Centro Universitario de Salto, Universidad de la República, Rivera 1350, Salto 50000, Uruguay.
Título :  Phylogenetic analyses of rotavirus a from cattle in uruguay reveal the circulation of common and uncommon genotypes and suggest interspecies transmisión.
Fecha de publicación :  2020
Fuente / Imprenta :  Pathogens (Basel, Switzerland), July 2020, Volume 9, Issue 7, Article number 570, Pages 1-17. OPEN ACCESS. DOI: https://doi.org/10.3390/pathogens9070570
DOI :  10.3390/pathogens9070570
Idioma :  Inglés
Notas :  Article history: Received: 7 April 2020 / Revised: 20 June 2020 / Accepted: 30 June 2020 / Published: 14 July 2020. This research was funded by Instituto Nacional de Investigación Agropecuaria (INIA), grant number PL_015 N-15156 and N-23398, and by the Universidad de la República Program Polo de Desarrollo Universitario. The APC was funded by Universidad de la República.
Contenido :  Abstract: Uruguay is one of the main exporters of beef and dairy products, and cattle production is one of the main economic sectors in this country. Rotavirus A (RVA) is the main pathogen associated with neonatal calf diarrhea (NCD), a syndrome that leads to significant economic losses to the livestock industry. The aims of this study are to determine the frequency of RVA infections, and to analyze the genetic diversity of RVA strains in calves in Uruguay. A total of 833 samples from dairy and beef calves were analyzed through RT-qPCR and sequencing. RVA was detected in 57.0% of the samples. The frequency of detection was significantly higher in dairy (59.5%) than beef (28.4%) calves (p < 0.001), while it did not differ significantly among calves born in herds that were vaccinated (64.0%) or not vaccinated (66.7%) against NCD. The frequency of RVA detection and the viral load were significantly higher in samples from diarrheic (72.1%, 7.99 log10 genome copies/mL of feces) than non-diarrheic (59.9%, 7.35 log10 genome copies/mL of feces) calves (p < 0.005 and p = 0.007, respectively). The observed G-types (VP7) were G6 (77.6%), G10 (20.7%), and G24 (1.7%), while the P-types were P[5] (28.4%), P[11] (70.7%), and P[33] (0.9%). The G-type and P-type combinations were G6P[11] (40.4%), G6P[5] (38.6%), G10P[11] (19.3%), and the uncommon genotype G24P[33] (1.8%). VP6 and NSP1-5 genotyping were performed to better characterize some strains. The phylogenetic analyses suggested intersp... Presentar Todo
Palabras claves :  BOVINE; DIARRHEA; GENOTYPES; INTERSPECIES TRANSMISSION; PLATAFORMA SALUD ANIMAL; ROTAVIRUS.
Thesagro :  GANADO BOVINO.
Asunto categoría :  --
URL :  http://www.ainfo.inia.uy/digital/bitstream/item/16692/1/pathogens-09-00570.pdf
https://www.mdpi.com/2076-0817/9/7/570/pdf
Marc :  Presentar Marc Completo
Registro original :  INIA La Estanzuela (LE)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LE103160 - 1PXIAP - DDPP/Pathogens/2020
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