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| 62. |  | NÚÑEZ, L.; ALTIER, N.; PÉREZ, C.; BEYHAUT, E.; ZERBINO, M.S.; STEWART, S.; MARTÍNEZ, S.; VAZ, P. Herramientas para la evaluación de la salud del suelo en la siembre de soja. [Resumen]. In: Libro de resúmenes de las TERCERAS JORNADAS INTERDISCIPLINARIAS EN BIODIVERSIDAD Y ECOLOGIA. "Desafíos socio-ambientales para el Uruguay del futuro" 28 de Noviembre a 2 de Diciembre 2016, Centro Universitario Regional del Este Rocha, Uruguay. p.117.| Biblioteca(s): INIA Las Brujas. |
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| 67. | | LARZÁBAL, J.; YAMANAKA, N.; CERETTA, S.; RODRIGUEZ, M.; STEWART, S. Introgression of Asian soybean rust resistant genes into elite soybean lines from Uruguay. International Journal of Pest Management, 2022, vol. 68, issue 4: "Uruguayan Society of Phytopathology (SUFIT): Plant protection for a sustainable agriculture", p.319-327. doi: https://doi.org/10.1080/09670874.2022.2118894 Article history: Received 03 May 2022, Accepted 23 August 2022, Published online: 11 November 2022. Corresponding author: Silvina Stewart, Instituto Nacional de Investigación Agropecuaria (INIA), Programa Nacional de Cultivos de Secano,...| Biblioteca(s): INIA Las Brujas. |
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| 72. | | DEL PALACIO, A.; CORALLO, B.; CEA, J.; DE AURRECOECHEA, I.; MARTÍNEZ, I.; SÁNCHEZ, A.; STEWART, S.; PAN, D. Major Fusarium species and mycotoxins associated with freshly harvested maize grain in Uruguay. Mycotoxin Research. 2023, https://doi.org/10.1007/s12550-023-00498-y -- [Article in Press]. Article history: Received 5 December 2022, Revised 22 May 2023, Accepted 27 June 2023. -- Correspondence author: Pan, D.; Laboratorio de Micología, Facultad de Ciencias-Facultad de Ingeniería, UdelaR, Julio Herreray Reissig, Montevideo,...| Biblioteca(s): INIA Las Brujas. |
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| 80. | | LARZABAL, J.; YAMANAKA, N.; RODRIGUEZ, M.; CERETTA, S.; STEWART, S. Mejoramiento genético por resistencia a roya asiática en soja. In: Sociedad Uruguaya de Fitopatología Jornada Uruguaya de Fitopatología, 6., Jornada Uruguaya de Protección Vegetal, 4., 21-22 octubre, 2021, Montevideo, Uruguay. Libro de resúmenes. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2021. p. 45 Financiamiento: Parcial por JIRCAS Research project "Development of technologies for the control of migratory plant pest and transboundary diseases".| Biblioteca(s): INIA Treinta y Tres. |
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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
001 1062380
005 2021-09-01
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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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