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| 3. |  | LÓPEZ-CORREA, R.D.; LEGARRA, A.; AGUILAR, I. Modeling missing pedigree with metafounders and validating single-step genomic predictions in a small dairy cattle population with a great influence of foreign genetics. Research. Journal of Dairy Science, July 2024, Volume 107, Issue 7, Pages 4685-4692. https://doi.org/10.3168/jds.2023-23732 -- OPEN ACCESS. Article history: Received 11 May 2023, Accepted 22 December 2023, Available online 2 February 2024, Version of Record 26 June 2024. -- Corresponding author: rlopez@fagro.edu.uy -- Funding: Agencia Nacional de Investigación e Innovación...| Biblioteca(s): INIA Las Brujas. |
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| 5. | | RODRÍGUEZ, J.D.; PERIPOLLI, E.; LONDOÑO-GIL, M.; ESPIGOLAN, R.; LÔBO, R. B.; LÓPEZ-CORREA, R.; AGUILAR, I.; BALDI, F. Effect of minor allele frequency and density of single nucleotide polymorphism marker arrays on imputation performance and prediction ability using the single-step genomic Best Linear Unbiased Prediction in a simulated beef cattle population. Research paper. Animal Production Science. 2023, volume 63, issue 9, p. 844-852. https://doi.org/10.1071/AN21581 Article history: Submitted 1 December 2021, Accepted 1 March 2023, Published 4 April 2023. -- Correspondence to: Juan Diego Rodríguez,
Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrarias e Veterinárias, Departamento...| Biblioteca(s): INIA Las Brujas. |
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| 6. | | LONDOÑO-GIL, M.; LÓPEZ-CORREA, R.; AGUILAR, I.; MAGNABOSCO, C.U.; HIDALGO, J.; BUSSIMAN, F.; BALDI, F.; LOURENCO, D. Strategies for genomic predictions of an indicine multi-breed population using single-step GBLUP. Journal of Animal Breeding and Genetics, 2024. https://doi.org/10.1111/jbg.12882 - [Early view] Article history: Received 22 March 2024, Revised 10 May 2024, Accepted 15 May 2024. -- Corresponding author: Londoño-Gil, M.; Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de Mesquita Filho, Via de...| Biblioteca(s): INIA Las Brujas. |
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| 7. | | LOPES, R.B.; CANOZZI, M.E.A.; CANELLAS, L.C; GONZALEZ, F.A.L.; CORRÊA, R.F.; PEREIRA, P.R.R.X; BARCELLOS, J.O.J. Bioeconomic simulation of compensatory growth in beef cattle production systems. Livestock Science, October 2018, v.216,p.165-173. Article history: Received 20 December 2017//Revised 23 August 2018// Accepted 23 August 2018 // Available online 24 August 2018.| Biblioteca(s): INIA La Estanzuela. |
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| 8. | | CARDONA-CIFUENTES, D.; NEIRA, J. D. R.; ALBUQUERQUE, L. G.; ESPIGOLAN, R.; GONZALEZ-HERRERA, L. G.; AMORIM, S. T.; LÓPEZ-CORREA, R. D.; AGUILAR, I.; BALDI, F. Influence of variance component estimates on genomic predictions for growth and reproductive-related traits in Nellore cattle. Original article. Journal of Animal Breeding and Genetics, May 2025, Volume 142, Issue 3, Pages 263-276. https://doi.org/10.1111/jbg.12900 Article history: Received 29 March 2024, Revised 23 July 2024, Accepted 20 August 2024, First published 18 September 2024 -- Correspondence: Fernando Baldi, Departamento de Zootecnia, Universidade Estadual Paulista (UNESP), Via de Acesso...| Biblioteca(s): INIA Las Brujas. |
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| 9. | | RODRÍGUEZ NEIRA, J.D.; PERIPOLLI, E.; DE NEGREIROS M.P.M.; ESPIGOLAN, R.; LÓPEZ-CORREA R.; AGUILAR, I.; LOBO R.B.; BALDI, F. Prediction ability for growth and maternal traits using SNP arrays based on different marker densities in Nellore cattle using the ssGBLUP. Journal of Applied Genetics, 2022, Volume 63, Issue 2, pages 389-400. doi: https://doi.org/10.1007/s13353-022-00685-0 Article history: Received 26 September 2021; Revised 25 January 2022; Accepted 2 February 2022.
Corresponding author: Rodriguez Neira, J.D.; Departamento de Zootecnia, Faculdade de Ciências Agrarias e Veterinárias, Universidade...| Biblioteca(s): INIA Las Brujas. |
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| 10. | | Silva, J.J.C.da; Coelho, R.W.; Souza, R.M.de; Gomes, A.da S.; Rodrigues, R.C.; Raupp, A.A.; Corrêa, R.; Silva, A.C.da; Pereira, R.D. Implantação de pastagem cultivada em camalhão permamente Fazenda Branqueada do Salso, Rio Grande, RG=Rio Grande do Sul, 2003 ln: Reunión del Grupo Técnico Regional del Cono Sur en Mejoramiento y Utilización de los Recursos Forrajeros del Area Tropical y Subtropical, Grupo Campos, 20., 2004, Salto, UY Saldanha, S.; Bemhaja, M.; Moliterno, E.; Olmos, F.; Uriarte, G., ed. Sustentabilidad, desarrollo y conservación de los ecosistemas : memorias. Salto: UdelaR. Regional Norte, 2004. p. 358-359| Biblioteca(s): INIA La Estanzuela. |
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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
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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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