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| 22. |  | CANOZZI, M.E.A.; MEDEROS, A.; ZAGO, D.; PEREIRA, G.R.; BARCELLOS, J.O. A systematic review-meta-analysis of castration and welfare indicators in beef cattle. [Abstract]. J. Anim. Sci Vol. 94, E-Suppl. 5/J. Dairy Sci. Vol. 99, E-Suppl. 1, 2016, 0086, p. 38. Conference, 2016 Joint Annual Meeting (JAM), At Salt Lake City, USA.| Biblioteca(s): INIA Tacuarembó. |
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| 24. | | COCCO, R.; CANOZZI, M.E.A.; VIEIRA, A.C.; FISCHER, V. Time spent feeding as an early indicator of metritis in postpartum dairy cows: systematic review and meta-analysis. Research paper. Animal Production Science, 2023, Volume 63, Issue 12, Pages 1215-1225. Doi: https://doi.org/10.1071/AN22302 Article history: Submitted 6 August 2022; Accepted 9 March 2023; Published 4 April 2023. -- Correspondence: Fischer, V.; Animal Science Department, Federal University of Rio Grande do Sul, Rio Grande do Sul, Porto Alegre, Brazil;...| Biblioteca(s): INIA Las Brujas. |
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| 25. | | CLARIGET, J.M.; PEREZ, E.; UZUCA, J.; BATISTA, E.; GONNET, R.; CANOZZI, M.E.A. TPP 28. Efecto de la caminata pre-faena sobre el peso de la canal caliente en novillos de razas británicas. [resumen]. [Effect of pre-slaughter walking on hot carcass weight in British steers]. [abstract] Tecnología de Productos Pecuarios. En: Congreso Argentino de Producción Animal Virtual, 45, 16 al 18 de noviembre 2022. p.249. (Revista Argentina de Producción Animal ; 42 Suplemento 1). Corresponding author: Clariget, J.M. Instituto Nacional de Investigación Agropecuaria (INIA, Uruguay). E-mail: jclariget@inia.org.uy| Biblioteca(s): INIA Las Brujas. |
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| 29. | | CLARIGET, J.M.; BANCHERO, G.; AZNÁREZ, V.; ROIG, G.; CANOZZI, M.E.A.; PEREZ, E.; FERNANDEZ, E.; LA MANNA, A. Cuando lo que tenemos que suplementar es la fibra. Producción Animal. Revista INIA Uruguay, Marzo 2023, no.72, p.18-21. (Revista INIA; 72).| Biblioteca(s): INIA Las Brujas. |
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| 30. | | CANOZZI, M.E.A.; MEDEROS, A.; TURNER, S.; MANTECA, X.; MCMANNUS, C.; MENEGASSI, S.R.; BARCELLOS, J.O. Dehorning and welfare indicators in beef cattle: A meta-analysis. Review. Animal Production Science, 2019, Volume 59, Issue 5, p. 801-814. doi: https://doi.org/10.1071/AN17752 History Article: Received 27 January 2017 // accepted 11 April 2018 // published online 30 May 2018. -- Corresponding author: Barcellos, J.O.J.; Centre for Research on Production Systems and Beef Cattle Supply Chain (NESPro/UFRGS),...| Biblioteca(s): INIA Tacuarembó. |
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| 32. | | SESSIM, A. G.; CANOZZI, M.E.A.; PEREIRA, G. R.; CASTILHO, E. M.; BARCELLOS, J. O. J. Financial performance and opportunistic commercialization of beef production systems in southern Brazil. Revista Mexicana De Ciencias Pecuarias, 2022, Volume 13, Issue 1, Pages 127 - 144. OPEN ACCESS. doi: https://doi.org/10.22319/rmcp.v13i1.5888 Article history: Received 3 December 2020; Accepted 07 June 2021; Published January 2022.
Publisher: INIFAP-CENID Parasitologia Veterinaria. Corresponding author: Sessim, A.G.; Federal University of Rio Grande do Sul - UFRGS, Faculty of...| Biblioteca(s): INIA Las Brujas. |
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| 33. | | CANOZZI, M.E.A.; CLARIGET, J.M.; ROIG, G.; PEREZ, E.; AZNÁREZ, V.; BANCHERO, G.; LA MANNA, A. ¿Existe estrés por calor en ganado a corral en Uruguay? Resultados y recomendaciones. Revista INIA Uruguay, Setiembre 2021, no.66, p. 29-32. (Revista INIA; 66).| Biblioteca(s): INIA Treinta y Tres. |
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| 35. | | FERNANDES, A.M; TEIXEIRA, O DE S.; RIOS, H.V.; CANOZZI, M.E.A.; SCHULTZ, G.; BARCELLOS, J.O.J. Insights of innovation and competitiveness in meat supply chains. International Food and Agribusiness Management Review, volume 22, Issue 3, 2019 .OPEN ACCESS.
Doi:https://doi.org/ 10.22434/IFAMR2018.0031 Article history: Received: 24 February 2018 / Accepted: 30 November 2018/Published Online: March 04, 2019.| Biblioteca(s): INIA La Estanzuela. |
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| 36. | | FERNANDEZ, E.; CLARIGET, J.M.; ZARZA, R.; LATTANZI, F.; BANCHERO, G.; LA MANNA, A.; CANOZZI, M.E.A. Sistemas ganaderos intensivos de la región suroeste y centro sur del país: ¿cuáles son las prácticas tecnológicas y decisiones de manejo predominantes en las empresas?. Primera parte: Caracterización de los sistemas, especies y manejo del pastoreo. Socio-Economía. Revista INIA Uruguay, 2020, no.63, p.34-38. (Revista INIA; 63).| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| 37. | | FERNANDEZ, E.; CLARIGET, J.M.; ZARZA, R.; LATTANZI, F.; BANCHERO, G.; LA MANNA, A.; CANOZZI, M.E.A. Sistemas ganaderos intensivos de la región suroeste y centro sur del país: ¿cuáles son las prácticas tecnológicas y decisiones de manejo predominantes en las empresas?. Segunda parte: Reservas forrajeras, suplementación y cultivos de cobertura. Socio-Economía. Revista INIA Uruguay, 2021, no.64, p.55-60. (Revista INIA; 64).| Biblioteca(s): INIA Las Brujas. |
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| 38. | | CANOZZI, M.E.A.; CLARIGET, J.M.; ROIG, G.; PEREZ, E.; AZNÁREZ, V.; BANCHERO, G.; LA MANNA, A. Shade effect on behaviour, physiology, performance, and carcass weight of heat-stressed feedlot steers in humid subtropical area. Animal Production Science, 2022, Volume 62, Issue 17, p.1692-1705. Doi: https://doi.org/10.1071/AN22128 Article history: Submitted: 13 October 2021; Accepted: 3 June 2022; Published online: 12 July 2022. -- Correspondence author: La Manna, A.; Instituto Nacional de Investigacíon Agropecuaria, INIA La Estanzuela, Ruta 50 km 11, Colonia,...| Biblioteca(s): INIA La Estanzuela. |
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| 39. | | CANOZZI, M.E.A.; ZARZA, R.; BANCHERO, G.; LA MANNA, A.; FERNANDEZ, E.; PEREZ, E.; CLARIGET, J.M. Suplementación estival de novillos sobre año en pastoreo. Revista INIA Uruguay, Diciembre 2022, no.71, p.25-28. (Revista INIA; 71)| Biblioteca(s): INIA Treinta y Tres. |
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| 40. | | FERNANDEZ, E.; LANFRANCO, B.; BANCHERO, G.; PEREZ, E.; LA MANNA, A.; CANOZZI, M.E.A.; CLARIGET, J.M. Producción y eficiencia en sistemas ganaderos intensivos. Socio-Economía. Revista INIA Uruguay, Marzo 2022, no.68, p.31-35. (Revista INIA; 68).| Biblioteca(s): INIA Las Brujas. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
01/09/2021 |
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Actualizado : |
01/09/2021 |
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Autor : |
VIEIRA, A.C.; FISCHER, V.; CANOZZI, M.E.A.; GARCIA, L.S. |
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Afiliación : |
ALINE C. VIEIRA, Affiliation: Animal Science Post-Graduation Research Program, Brazil.; VIVIAN FISCHER, Animal Science Department, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.; MARÍA EUGENIA ANDRIGHETTO CANOZZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LISIANE S. GARCIA, Animal Science Post-Graduation Research Program, Brazil. |
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Título : |
Motivations and attitudes of Brazilian dairy farmers regarding the use of automated behaviour recording and analysis systems. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Journal of Dairy Research, 2021. [Article in Press]. Doi: https://doi.org/10.1017/S0022029921000662 |
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DOI : |
10.1017/S0022029921000662 |
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Idioma : |
Inglés |
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Notas : |
Article in history: Received: 25 March 2021; Revised: 10 June 2021; Accepted: 21 June 2021
Supplementary material: https://static.cambridge.org/content/id/urn:cambridge.org:id:article:S0022029921000662/resource/name/S0022029921000662sup001.pdf |
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Contenido : |
Abstract:
In this Research Communication we investigate the motivations of Brazilian dairy farmers to adopt automated behaviour recording and analysis systems (ABRS) and their attitudes towards the alerts that are issued. Thirty-eight farmers participated in the study distributed into two groups, ABRS users (USERS, n = 16) and non-users (NON-USERS, n = 22). In the USERS group 16 farmers accepted being interviewed, answering a semi-structured interview conducted by telephone, and the answers were transcribed and codified. In the NON-USERS group, 22 farmers answered an online questionnaire. Descriptive analysis was applied to coded answers. Most farmers were young individuals under 40 years of age, with undergraduate or graduate degrees and having recently started their productive activities, after a family succession process. Herd size varied with an overall average of approximately 100 cows. Oestrus detection and cow's health monitoring were the main reasons given to invest in this technology, and cost was the most important factor that prevented farmers from purchasing ABRS. All farmers in USERS affirmed that they observed the target cows after receiving a health or an oestrus alert. Farmers believed that they were able to intervene in the evolution of the animals' health status, as the alerts gave a window of three to four days before the onset of clinical signs of diseases, anticipating the start of the treatment.The alerts issued by the monitoring systems helped farmers to reduce the number of cows to be observed and to identify pre-clinically sick and oestrous animals more easily. Difficulties in illness detection and lack of definite protocols impaired the decision making process and early treatment, albeit farmers believed ABRS improved the farm's routine and reproductive rates MenosAbstract:
In this Research Communication we investigate the motivations of Brazilian dairy farmers to adopt automated behaviour recording and analysis systems (ABRS) and their attitudes towards the alerts that are issued. Thirty-eight farmers participated in the study distributed into two groups, ABRS users (USERS, n = 16) and non-users (NON-USERS, n = 22). In the USERS group 16 farmers accepted being interviewed, answering a semi-structured interview conducted by telephone, and the answers were transcribed and codified. In the NON-USERS group, 22 farmers answered an online questionnaire. Descriptive analysis was applied to coded answers. Most farmers were young individuals under 40 years of age, with undergraduate or graduate degrees and having recently started their productive activities, after a family succession process. Herd size varied with an overall average of approximately 100 cows. Oestrus detection and cow's health monitoring were the main reasons given to invest in this technology, and cost was the most important factor that prevented farmers from purchasing ABRS. All farmers in USERS affirmed that they observed the target cows after receiving a health or an oestrus alert. Farmers believed that they were able to intervene in the evolution of the animals' health status, as the alerts gave a window of three to four days before the onset of clinical signs of diseases, anticipating the start of the treatment.The alerts issued by the monitoring systems helped farmers... Presentar Todo |
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Palabras claves : |
Farmer's attitudes; Farmer's motivation; Health monitoring; Oestrous monitoring; Sensors. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02847naa a2200241 a 4500
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024 7 $a10.1017/S0022029921000662$2DOI
100 1 $aVIEIRA, A.C.
245 $aMotivations and attitudes of Brazilian dairy farmers regarding the use of automated behaviour recording and analysis systems.$h[electronic resource]
260 $c2021
500 $aArticle in history: Received: 25 March 2021; Revised: 10 June 2021; Accepted: 21 June 2021 Supplementary material: https://static.cambridge.org/content/id/urn:cambridge.org:id:article:S0022029921000662/resource/name/S0022029921000662sup001.pdf
520 $aAbstract: In this Research Communication we investigate the motivations of Brazilian dairy farmers to adopt automated behaviour recording and analysis systems (ABRS) and their attitudes towards the alerts that are issued. Thirty-eight farmers participated in the study distributed into two groups, ABRS users (USERS, n = 16) and non-users (NON-USERS, n = 22). In the USERS group 16 farmers accepted being interviewed, answering a semi-structured interview conducted by telephone, and the answers were transcribed and codified. In the NON-USERS group, 22 farmers answered an online questionnaire. Descriptive analysis was applied to coded answers. Most farmers were young individuals under 40 years of age, with undergraduate or graduate degrees and having recently started their productive activities, after a family succession process. Herd size varied with an overall average of approximately 100 cows. Oestrus detection and cow's health monitoring were the main reasons given to invest in this technology, and cost was the most important factor that prevented farmers from purchasing ABRS. All farmers in USERS affirmed that they observed the target cows after receiving a health or an oestrus alert. Farmers believed that they were able to intervene in the evolution of the animals' health status, as the alerts gave a window of three to four days before the onset of clinical signs of diseases, anticipating the start of the treatment.The alerts issued by the monitoring systems helped farmers to reduce the number of cows to be observed and to identify pre-clinically sick and oestrous animals more easily. Difficulties in illness detection and lack of definite protocols impaired the decision making process and early treatment, albeit farmers believed ABRS improved the farm's routine and reproductive rates
653 $aFarmer's attitudes
653 $aFarmer's motivation
653 $aHealth monitoring
653 $aOestrous monitoring
653 $aSensors
700 1 $aFISCHER, V.
700 1 $aCANOZZI, M.E.A.
700 1 $aGARCIA, L.S.
773 $tJournal of Dairy Research, 2021. [Article in Press]. Doi: https://doi.org/10.1017/S0022029921000662
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