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Biblioteca(s):  Embrapa Gado de Leite.
Data corrente:  08/02/2021
Data da última atualização:  06/02/2024
Tipo da produção científica:  Artigo em Periódico Indexado
Autoria:  CAIRO, F. C.; PEREIRA, L. G. R.; CAMPOS, M. M.; TOMICH, T. R.; COELHO, S. G.; LAGE, C. F. A.; FONSECA, A. P.; BORGES, A. M.; ALVES, B. R. C.; DOREA, J. R. R.
Afiliação:  F. C. Cairo, Universidade Estadual do Sudoeste da Bahia, Itapetinga, BA; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; MARIANA MAGALHAES CAMPOS, CNPGL; THIERRY RIBEIRO TOMICH, CNPGL; S. G. Coelho, UFMG; C. F. A. Lage, UFMG; A. P. Fonseca, UFMG; A. M. Borges, UFMG; B. R. C. Alves, University of Nevada, Reno, USA; J. R. R. Dorea, University of Wisconsin, Madison, USA.
Título:  Applying machine learning techniques on feeding behavior data for early estrus detection in dairy heifers.
Ano de publicação:  2020
Fonte/Imprenta:  Computers and Electronics in Agriculture, v. 179, 105855, 2020.
DOI:  https://doi.org/10.1016/j.compag.2020.105855
Idioma:  Inglês
Conteúdo:  The recent advances in sensor technology have allowed accurate predictions of estrus events using animal behavior information. Behavioral variables generated by electronic feed and water bins have not been explored as potential predictors for estrus detection. The objectives of this study were: (i) to evaluate the effect of estrus expression on feed intake and animal behavior (feeding and drinking) and (ii) to develop and evaluate predictive approaches to detect estrus expression using electronic feed and water bins data. Feed intake, animal behavior, and estrus events were measured in 57 Holstein × Gyr heifers (374 ± 21.2 kg and 22.6 ± 0.60 months). Previous to each estrus event, the following covariates were computed: total feed intake (FI, as-fed basis), number of visits at the feed bins (VF) and water bins (VW), time spent eating (TE), and time spent drinking water (TD). Three predictive approaches were evaluated: Generalized Linear Models (GLM), Artificial Neural Network (ANN), and Random Forest (RF). Twelve covariate sets were established to investigate: (ii.a) the prediction quality for estrus detection when long (−174 to 0 h) or short (−24 to 0 h) time series were used as predictors (6 h of time window, with estrus event at 0 h); (ii.b) the ability of machine learning algorithms to predict estrus 6 and 12 h in advance; and (ii.c) the predictive quality for estrus detection when only feeding and drinking behavior data (without intake variables) were includ... Mostrar Tudo
Palavras-Chave:  Artificial neural network; Heat detection; Machine learning; Precision livestock; Random forest.
Categoria do assunto:  --
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Gado de Leite (CNPGL)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CNPGL25090 - 1UPCAP - DD
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Registro Completo

Biblioteca(s):  Embrapa Unidades Centrais.
Data corrente:  16/06/2016
Data da última atualização:  29/12/2017
Autoria:  OLINDA, R. G.; VIANA, G. A.; RODRIGUES, C. M. F.; SILVA, T. M. F.; LUCENA, R. B.; BEZERRA, F. S. B.; BATISTA, J. S.
Afiliação:  ROBERIO G. OLINDA, UFCG; GEYSA A. VIANA, Universidade Federal Rural do Semi-árido; CARLA M. F. RODRIGUES, Universidade Federal Rural do Semi-árido; TACIANA M. F. SILVA, Universidade Federal Rural do Semi-árido; RICARDO B. LUCENA, UFPB; FRANCISCO S. B. BEZERRA, Universidade Federal Rural do Semi-árido; JAEL S. BATISTA, Universidade Federal Rural do Semi-árido.
Título:  Extramedullary plasmacytoma in a captive collared peccary (Pecari tajacu).
Ano de publicação:  2016
Fonte/Imprenta:  Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 36, n. 6, p. 516-519, junho. 2016.
Idioma:  Inglês
Conteúdo:  An extramedullary plasmacytoma case in a captive collared peccary (Pecari tajacu) is reported. The animal, a female aging three years old, had a medical history of diffusely distributed skin and mucocutaneous junction lesions, associated with swollen lymph nodes. Clinical examination and complementary exams (complete blood count, biochemical analysis, skin scraping to search mites and fungal culture) were performed. Thirty days after examination, the animal died. At necropsy, multiple consistent nodules, aseptic pustules and swollen lymph nodes were found. On histological exams of the skin and oral mucosa, we observed a large number of round cells forming masses organized in nests, sheets, and cords of cells in a well-vascularized fibrovascular tissue. Neoplastic plasma cells infiltrated between the fibers and the lamina propria of smooth muscle. Spaces among the cell masses were filled with some eosinophil and fluid. Most of the cells were well differentiated, presenting a perinuclear clear zone. In some points, the cells were pleomorphic. The plasma cells presented eccentric, basophilic and spherical nuclei, showing a dense to organized chromatin with distinct nucleoli. Binucleate cells were observed, but multinucleated giant cells were rare. Oral mucosa and lymph nodes tested by immunohistochemical analyses were positive for Mb-1, with a multifocal distribution. In regard to Bcl-2, the neoplastic cells were intermittent weakly positive. So, an extramedullary plasmacytoma ... Mostrar Tudo
Palavras-Chave:  Cateto; Imuno-histoquímica; Mucocutaneous plasmacytoma; Pecari tajacu; Plasmocitoma mucocutâneo.
Thesagro:  Porco selvagem; Tayassu Tajacu.
Thesaurus NAL:  Immunohistochemistry.
Categoria do assunto:  --
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/144477/1/Extramedullary-plasmacytoma.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Unidades Centrais (AI-SEDE)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
AI-SEDE59646 - 1UPEAP - PP636.08905P474
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