Guided classification measurement of body condition in beef cows
The use of predictive techniques based on image acquisition at field level is presented to improve livestock production. With this, the farmer can plan the management of the herd and the need for supplemental feeding. The use of the Body Condition Score (BCS) measured by visual assessment has been p...
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| Dil: | İngilizce |
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2023
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| Online Erişim: | https://hdl.handle.net/20.500.12008/39780 |
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| _version_ | 1868890181460819968 |
|---|---|
| author | Espasandin, Ana Carolina |
| author2 | Larracharte Cardoso, Andrea Gimena Pérez López, Nicolás |
| author2_role | author author |
| author_browse | Espasandin, Ana Carolina Larracharte Cardoso, Andrea Gimena Pérez López, Nicolás |
| author_facet | Espasandin, Ana Carolina Larracharte Cardoso, Andrea Gimena Pérez López, Nicolás |
| author_role | author |
| collection | COLIBRI |
| dc.contributor.none.fl_str_mv | Espasandin Ana Carolina, Universidad de la República, Facultad de Agronomía, Montevideo, Uruguay https://orcid.org/0000-0003-2233-4290 Larracharte Cardoso Andrea Gimena, Universidad de la República, Facultad de Agronomía, Montevideo, Uruguay https://orcid.org/0000-0002-3934-1078 Pérez López Nicolás, Universidad de la República, Facultad de Ingeniería, Montevideo, Uruguay https://orcid.org/0000-0002-8043-5383 |
| dc.creator.none.fl_str_mv | Espasandin, Ana Carolina Larracharte Cardoso, Andrea Gimena Pérez López, Nicolás |
| dc.date.none.fl_str_mv | 2023-09-04T15:04:59Z 2023-09-04T15:04:59Z 2023 |
| dc.format.none.fl_str_mv | e1165 application/pdf |
| dc.identifier.none.fl_str_mv | Espasandin, A. C., Larracharte Cardoso, A. G., & Pérez López, N. (2023). Guided classification measurement of body condition in beef cows. Agrociencia Uruguay, 27, e1165. https://doi.org/10.31285/AGRO.27.1165 2730-5066 https://hdl.handle.net/20.500.12008/39780 10.31285/AGRO.27.1165 |
| dc.language.none.fl_str_mv | en eng |
| dc.publisher.none.fl_str_mv | Facultad de Agronomía, Universidad de la República - INIA |
| dc.relation.none.fl_str_mv | Agrociencia Uruguay, 2023 27:e1165 |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess Licencia Creative Commons Atribución (CC - By 4.0) |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.none.fl_str_mv | Beef Cattle Body Condition Score Condição Corporal Condición Corporal Digital Imaging Imágenes Digitales Imagens Digitais Information Technology Tecnologia da Informação Tecnología de la Información Vacas de Corte Vacas de Cría |
| dc.title.none.fl_str_mv | Guided classification measurement of body condition in beef cows Guía de clasificación de la condición corporal en vacas de cría Guia de classificação da condição corporal em vacas de corte |
| dc.type.none.fl_str_mv | Artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | The use of predictive techniques based on image acquisition at field level is presented to improve livestock production. With this, the farmer can plan the management of the herd and the need for supplemental feeding. The use of the Body Condition Score (BCS) measured by visual assessment has been proposed as a method of subjective evaluation of the nutritional status of cattle. Studies show that a good BCS at calving allows increases in the order of 10 to 15% in the following pregnancy rate of the herd. This increase has a significant impact on farm productivity. Although the benefits of the visual assessment scale are recognized, the percentage of breeders using this tool is still low, the main reason being the lack of trained raters to record the BCS. The objective of this study was to develop a practical, repetitive, and non-invasive method to evaluate BCS through a guided grading process using images taken in the field. The results show that the BCS determination method proposed in this paper is presented as a simple and economical tool to evaluate BCS, so that it can be accepted by the breeder for its simplicity and benefits. Additionally, it can serve as a tutorial for the acquisition of experience in calibrating BCS in breeding cows. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | anni_bfc03df87726dfd83b94226741c7e27c |
| identifier_str_mv | Espasandin, A. C., Larracharte Cardoso, A. G., & Pérez López, N. (2023). Guided classification measurement of body condition in beef cows. Agrociencia Uruguay, 27, e1165. https://doi.org/10.31285/AGRO.27.1165 2730-5066 10.31285/AGRO.27.1165 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | anni |
| network_name_str | oai-lr-anni |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/39780 |
| publishDate | 2023 |
| publishDateSort | 2023 |
| publisher.none.fl_str_mv | Facultad de Agronomía, Universidad de la República - INIA |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| spelling | Guided classification measurement of body condition in beef cowsGuía de clasificación de la condición corporal en vacas de críaGuia de classificação da condição corporal em vacas de corteEspasandin, Ana CarolinaLarracharte Cardoso, Andrea GimenaPérez López, NicolásBeef CattleBody Condition ScoreCondição CorporalCondición CorporalDigital ImagingImágenes DigitalesImagens DigitaisInformation TechnologyTecnologia da InformaçãoTecnología de la InformaciónVacas de CorteVacas de CríaThe use of predictive techniques based on image acquisition at field level is presented to improve livestock production. With this, the farmer can plan the management of the herd and the need for supplemental feeding. The use of the Body Condition Score (BCS) measured by visual assessment has been proposed as a method of subjective evaluation of the nutritional status of cattle. Studies show that a good BCS at calving allows increases in the order of 10 to 15% in the following pregnancy rate of the herd. This increase has a significant impact on farm productivity. Although the benefits of the visual assessment scale are recognized, the percentage of breeders using this tool is still low, the main reason being the lack of trained raters to record the BCS. The objective of this study was to develop a practical, repetitive, and non-invasive method to evaluate BCS through a guided grading process using images taken in the field. The results show that the BCS determination method proposed in this paper is presented as a simple and economical tool to evaluate BCS, so that it can be accepted by the breeder for its simplicity and benefits. Additionally, it can serve as a tutorial for the acquisition of experience in calibrating BCS in breeding cows.El uso de técnicas predictivas basadas en la toma de imágenes de campo es propuesto como un método de auxilio en la cría animal, en donde el productor podría planificar el manejo de la nutrición del rodeo. La condición corporal (CC) medida en vacas de cría mediante apreciación visual ha sido propuesta como un buen estimador del estado nutricional del rodeo. Estudios previos demuestran que en vacas con mayores CC al parto la preñez al siguiente servicio se incrementa de 10 a 15%, teniendo este resultado gran impacto en la producción de los sistemas. Aunque se reconocen los beneficios de la escala de CC, el porcentaje de criadores que utilizan esta herramienta sigue siendo bajo, siendo la razón principal la falta de calificadores formados para registrarla. El objetivo de este estudio fue desarrollar un método práctico, repetitivo y no invasivo para evaluar la CC mediante un proceso de calificación guiada, utilizando imágenes tomadas en el campo. Los resultados muestran que el método de determinación de la CC propuesto se comporta como una herramienta sencilla y económica para evaluar el estado nutricional, por lo que puede ser aceptado por el criador dada su sencillez y los beneficios obtenidos. Adicionalmente, esta herramienta también puede constituir un tutorial para la generación de experiencia en la calificación de la CC en vacas de cría.O uso de técnicas preditivas baseadas em imagens de campo é proposto como um auxílio na criação de animais, onde o produtor poderia planejar o manejo nutricional do rebanho. A condição corporal (CC) medida em vacas mediante avaliação visual foi proposta como um bom estimador do estado nutricional do rebanho. Estudos prévios mostram que em vacas com maiores CC ao momento do parto, a gravidez no próximo serviço é aumentada de 10 a 15%, tendo um grande impacto na produtividade dos sistemas. Embora os benefícios da escala CC sejam reconhecidos, a percentagem de criadores que adotam esta ferramenta ainda é baixa, sendo a principal razão a falta de avaliadores treinados para registrá-la. O objetivo deste estudo foi desenvolver um método prático, repetível e não-invasivo para avaliar a CC através de um processo guiado, utilizando imagens tomadas no campo. Os resultados mostram que o método de determinação proposto comporta-se como uma ferramenta simples e barata para avaliar o estado nutricional, podendo ser aceito pelo criador dada à sua simplicidade assim como aos benefícios obtidos. Além disso, esta ferramenta também pode constituir um tutorial para a geração de experiência na qualificação de CC em vacas reprodutoras.Facultad de Agronomía, Universidad de la República - INIAEspasandin Ana Carolina, Universidad de la República, Facultad de Agronomía, Montevideo, Uruguay https://orcid.org/0000-0003-2233-4290Larracharte Cardoso Andrea Gimena, Universidad de la República, Facultad de Agronomía, Montevideo, Uruguay https://orcid.org/0000-0002-3934-1078Pérez López Nicolás, Universidad de la República, Facultad de Ingeniería, Montevideo, Uruguay https://orcid.org/0000-0002-8043-53832023-09-04T15:04:59Z2023-09-04T15:04:59Z2023Artículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersione1165application/pdfEspasandin, A. C., Larracharte Cardoso, A. G., & Pérez López, N. (2023). Guided classification measurement of body condition in beef cows. Agrociencia Uruguay, 27, e1165. https://doi.org/10.31285/AGRO.27.11652730-5066https://hdl.handle.net/20.500.12008/3978010.31285/AGRO.27.1165reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengAgrociencia Uruguay, 2023 27:e1165Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)oai:colibri.udelar.edu.uy:20.500.12008/397802026-04-14T10:32:40Z |
| spellingShingle | Guided classification measurement of body condition in beef cows Espasandin, Ana Carolina Beef Cattle Body Condition Score Condição Corporal Condición Corporal Digital Imaging Imágenes Digitales Imagens Digitais Information Technology Tecnologia da Informação Tecnología de la Información Vacas de Corte Vacas de Cría |
| status_str | publishedVersion |
| title | Guided classification measurement of body condition in beef cows |
| title_full | Guided classification measurement of body condition in beef cows |
| title_fullStr | Guided classification measurement of body condition in beef cows |
| title_full_unstemmed | Guided classification measurement of body condition in beef cows |
| title_short | Guided classification measurement of body condition in beef cows |
| title_sort | Guided classification measurement of body condition in beef cows |
| topic | Beef Cattle Body Condition Score Condição Corporal Condición Corporal Digital Imaging Imágenes Digitales Imagens Digitais Information Technology Tecnologia da Informação Tecnología de la Información Vacas de Corte Vacas de Cría |
| url | https://hdl.handle.net/20.500.12008/39780 |