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Registros recuperados : 19 | |
1. | | ROVIRA, P.J.; BRAULT, S.A.; COSTARD, S.; MORLEY, P.S.; BELK, K.E. Association between antimicrobial use and antimicrobial resistance in bacteria isolated from feces or respiratory secretions of feedlot cattle: a systematic review and meta-analysis. [Abstract]. ln: Conference of Research Workers in Animal Disease. (3-5 Dec., 2017, Chicago, Illinois, USA) Presentation Abstracts. Chicago, Illinois (USA): CRWAD, 2017. p. 103.Biblioteca(s): INIA Treinta y Tres. |
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2. | | WEINROTH, M.; ROVIRA, P.J.; YANG, X.; PARKER, J.; MORLEY, P.S.; BELK, K.E. Characterization of antibiotic resistance transmission in the beef production system. Abstract. In: RCM Reciprocal Meat Conference, 71, Kansas City, 2018. Kansas, American Meat Science Association (AMSA), 2018.Biblioteca(s): INIA Treinta y Tres. |
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3. | | WEINROTH, M.D.; YANG, X.; NOYES, N.R.; ROVIRA, P.J.; MARTIN, J.N.; MORLEY, P.S.; BELK, K.E. Foodborne pathogens and virulence in the microbiome of cattle grown naturally verses conventionally. In: 63rd International Congress of Meat Science and Technology. Cork. Ireland. 2017. Troy, D.; McDonnell, C.; Hinds, L.; Kerry, J. eds. Nurturing locally, growing globally. The Netherlands: Wageningen Academic Publishers, 2017. p. 505-507Biblioteca(s): INIA Treinta y Tres. |
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5. | | NOYES, N. R.; ABDO, Z.; ROVIRA, P.J.; DOSTER, E.; YANG, X.; LINKE, L. M.; BURGESS, B. A.; MARTIN. J.; BOUCHER, C.; MORLEY, P. S.; BELK, K. E. A bayesian approach to investigating the effect of metaphylaxis on the microbiome-resistance of the commercial feedlot steers. Abstract. In: Plant and Animal Genome Conference, 24. San Diego, USA, 2016.Biblioteca(s): INIA Treinta y Tres. |
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6. | | DOSTER, E.; ROVIRA, P.J.; NOYES, N.R.; BURGESS, B.A.; YANG, X.; WEINROTH, M.D.; LINKE, L.; MAGNUSON, R.; BOUCHER, C.; BELK, K.E.; MORLEY, P.S. A cautionary report for pathogen identification using shotgun metagenomics; a comparison to aerobic culture and polymerase chain reaction for Salmonella enterica identification. Frontier in Microbiology, 2019, 10:2499. doi: 10.3389/fmicb.2019.02499 7 p. Article history: received: 8 July 2019 // Accepted 16 October 2019 // Published 01 November 2019.
Open Access Journal. www.frontiersin.orgBiblioteca(s): INIA Treinta y Tres. |
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7. | | LAKIN, S.M.; DEAN, C.J.; DETTENWANGER, A.; ROSS, A.; DOSTER, E.; ROVIRA, P.J.; ABDO, Z.; JONES, K.L.; BELK, K.E.; MORLEY, P.S.; BOUCHER, C. MEGaRES and AmrPlusPlus, a comprehensive database of antimicrobial resistance genes and user-friendly pipeline for analysis of high-throughput sequencing data.[Abstract]. In: PROCEEDINGS OF THE 96TH ANNUAL CONFERENCE OF RESEARCH WORKERS IN ANIMAL DEISEASES, CHICAGO, USA. 2016. Session Ecology and Management of Foodborne Agents. 065.Biblioteca(s): INIA Treinta y Tres. |
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8. | | VIKRAM, A.; ROVIRA, P.J.; AGGA, G.E.; ARTHUR, T.M.; BOSILEVAC, J.M.; WHEELER, T.L.; MORLEY, P.; BELK, K.; SCHMIDT, J.W. Impact of antimicrobial use during beef production on fecal occurrence of antimicrobial resistance. [Abstract]. In: Meeting Abstract. Beef Industry Safety Summit, February 28-March 2, 2017, Houston, Texas.Biblioteca(s): INIA Treinta y Tres. |
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9. | | VIKRAM, A.; ROVIRA, P.J.; AGGA, G.E.; ARTHUR, T.M.; BOSILEVAC, J.M.; WHEELER, T.L.; MORLEY, P.S.; BELK, K.E.; SCHMIDT, J.W. Impact of "Raised Without Antibiotics" beef cattle production practices on occurrences of antimicrobial resistance. Applied and Environmental Microbiology, 2017, v. 83, no. 22, e01682-17. Article history: Accepted manuscript posted online 8 September 2017// published in november 2017.Biblioteca(s): INIA Treinta y Tres. |
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10. | | DOSTER, E.; ROVIRA, P.J.; NOYES, N.; BURGES, B.; YANG, X.; WEINROTH, M.; LINKE, L.; MAGNUSON, R.; JONES, K.; BOUCHER, C.; RUIZ, J.; MORLEY, P.; BELK, K. Shotgun metagenomic detection of Salmonella enterica in feedlot cattle compared to aerobic culture and PCR techniques. [Abstract]. In: Conference of Research Workers in Animal Diseases, 2016. Chicago (USA): En líneaBiblioteca(s): INIA Treinta y Tres. |
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11. | | ROVIRA, P.J.; MCALLISTER, T.; LAKIN, S.M.; COOK, S.R.; DOSTER, E.; NOYES, N. R.; WEINROTH, M.D.; YANG, X.; PARKER, J. K.; BOUCHER, C.; BOOKER, C. W.; WOENER, D. R.; BELK, K. E.; MORLEY, P. S. Characterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems. Frontier in Microbiology, September 2019. v. 10, article 1980, 11 p. OPEN ACCESS. Received 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019.Biblioteca(s): INIA Treinta y Tres. |
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12. | | WEINROTH, M.D.; SCOTT, H.M.; NORBY, B.; LONERAGAN, G.H.; NOYES, N.R.; ROVIRA, P.J.; DOSTER, E.; YANG, X.; WOERNER, D.R.; MORLEY, P.S.; BELK, K.E. Effects of ceftiofur and chlortetracycline on the resistomes of feedlot cattle. Applied and Environmental Microbiology, July 2018, vol. 84, no.13, e00610-18. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license. Article history: Received 15 March 2018. / Accepted 24 April 2018. / Accepted manuscript posted online 4 May 2018. OPEN ACCESS.Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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13. | | DOSTER, E.; ROVIRA, P.J.; NOYES, N.R.; BURGESS, B. A.; YANG, X.; WEINROTH, M.D.; LAKIN, S.M.; DEAN, C.J.; LINKE, L.; MAGNUSON, R.; JONES, K.I.; BOUCHER, C.; RUIZ, J.; BELK, K.E.; MORLEY, P.S. Investigating effects of tulathromycin metaphylaxis on the fecal resistome and microbiome of commercial feedlot cattle early in the feeding period. Frontier in Microbiology, 2018, 9:1715. 14 p. Article history: Received: 14 April 2018; Accepted: 09 July 2018; Published: 30 July 2018.
Open Access journal.
https://doi.org/10.3389/fmicb.2018.01715Biblioteca(s): INIA Treinta y Tres. |
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14. | | LAKIN, S.M.; DEAN, C.; NOYES, N.R.; DETTENWANGER, A.; ROSS, A. S.; DOSTER, E.; ROVIRA, P.J.; ABDO, Z.; JONES, K.L.; RUIZ, J.; BELK, K.E.; MORLEY, P.S.; BOUCHER, C. MEGARes: an antimicrobial resistance database for high throughput sequencing. Nucleic Acids Research, 2017 v.45 p.574-580. Article History: Published online 2016 Nov 24.
DOI: https://doi.org/10.1093/nar/gkw1009Biblioteca(s): INIA Treinta y Tres. |
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15. | | NOYES, N.R.; PARKER, J.K.; DEAN, C.J.; RAYMOND, R.A.; WEINROTH, M.E.; ROVIRA, P.J.; DOSTER, E.; ABDO, Z.; MARTIN, J.; JONES, K.L.; RUIZ, J.; BOUCHER, C.A.; BELK, K.E.; MORLEY, P.S. Megarich, a pre-sequencing capture system for enriching and counting resistance genes within metagenomic samples. [Abstract]. In: PROCEEDINGS OF THE 96TH ANNUAL CONFERENCE OF RESEARCH WORKERS IN ANIMAL DEISEASES, CHICAGO, USA. 2016. Session Ecology and Management of Foodborne Agents. - 064.Biblioteca(s): INIA Treinta y Tres. |
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16. | | WEINROTH, M.D.; LANKIN, S.M.; NOYES, N.R.; YANG, X.; ROVIRA, P.J.; DOSTER, E.; DEAN, C.; PARKER, J.K.; ANDERSON, C.; ABDO, Z.; BOUCHER, C.; RUIZ, J.; BELK, K.E.; MORLEY, P.S. Metagenomic investigations of antimicrobial resistance in beef, pork, and broiler production systems. [Abstract]. ln: Conference of Research Workers in Animal Disease. (3-5 Dec., 2017, Chicago, Illinois, USA) Presentation Abstracts. Chicago, Illinois (USA): CRWAD, 2017. p. 27.Biblioteca(s): INIA Treinta y Tres. |
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17. | | MORLEY, P.; BELK, K.; DOSTER, E.; LAKIN, S.; DEAN, C.; MUGGLI, M.; NOYES, N.; ROVIRA, P.J.; WEINROTH, M.; YANG, X.; ABDO, Z.; BOUCHER, C.; RUIZ, J.; SCOTT, H.M.; VAN METRE, D.C.; WOERNER, D.E. Metagnomic investigations of antimicrobial resitance in food animal populations. In: USDA NIFA Antimicrobial Resistance Program Project. 2017, Florida, USA. p. 14-15Biblioteca(s): INIA Treinta y Tres. |
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18. | | DOSTER, E.; ROVIRA, P.J.; NOYES, N. R.; BURGESS, B.A.; YANG, X.; WEINROTH, M.; LINKE, L.; MAGNUSON, R.; JONES, K.; BOUCHER, C.; RUIZ, J.; MORLEY, P.S.; BELK, K.E. Use of shotgun metagenomic to evaluate the microbiome in cattle feces following tulathromycin metaphylaxis. [Abstract]. In: Conference of Research Workers in Animal Diseases, 96th, 2015,Chicago (USA): CRWAD, 2015. p. 128.Biblioteca(s): INIA Treinta y Tres. |
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19. | | NOYES, N.R.; WEINROTH, M.E.; PARKER, J.K.; DEAN, C.J.; LAKIN, S.M.; RAYMOND, R.A.; ROVIRA, P.J.; DOSTER, E.; ABDO, Z.; MARTIN, J.N.; JONES, K.L.; RUIZ, J.; BOUCHER, C.A.; BELK, K.E.; MORLEY, P.S. Enrichment allows identification of diverse, rate elements in metagenomic resistome-virulome sequencing. Microbiome, 2017, 5, p. 142 13 p. Article History: Received: 29 May 2017, Accepted: 5 October 2017, Published: 17 October 2017Biblioteca(s): INIA Treinta y Tres. |
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Registros recuperados : 19 | |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
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 and excess stocking rate are some of the main factors constraining productivity. Small farmers´ view of cattle accumulation as a denotation of wealth and a secure readily available savings fund needs to be addressed in future programs seeking higher technology use and production. MenosAbstract:
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 : |
LEADER 02828nam a2200289 a 4500 001 1061847 005 2021-03-22 008 2019 bl uuuu u01u1 u #d 100 1 $aFERNANDEZ, E. 245 $aTechnology adoption, production performance and factors driving farmers' decision making process in beef cattle farms in Uruguay.$h[electronic resource] 260 $aIn: 23rd ICABR (Intenational Consortium on Applied Bioeconomy Research) Conference,4-7 June 2019, Ravello, Italy. [Trabajo en Congreso + Poster + Presentación Oral].$c2019 520 $aAbstract: 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 and excess stocking rate are some of the main factors constraining productivity. Small farmers´ view of cattle accumulation as a denotation of wealth and a secure readily available savings fund needs to be addressed in future programs seeking higher technology use and production. 650 $aAPPLIED ECONOMY UNIT 650 $aBEEF CATTLE 650 $aECONOMY PROGRAM 650 $aPRODUCTION SYSTEMS 650 $aPROGRAMA DE ECONONÍA 650 $aSISTEMAS DE PRODUCCIÓN 650 $aUNIDAD ECONOMIA APLICADA - INIA 653 $aDEVELOPMENT 653 $aLIVESTOCK PRODUCTION 653 $aSDSN 653 $aSUSTAINABLE INTENSIFICATION 653 $aTECHNOLOGY ADOPTION 700 1 $aSOARES DE LIMA, J.M. 700 1 $aFERRARO, B. 700 1 $aLANFRANCO, B.
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