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| Freitas,Letícia Cibele da Silva Ramos; Tinôco,Ilda de Fátima Ferreira; Gates,Richard Stephen; Souza,Cecília de Fátima; barbari,Matteo; Teles Junior,Carlos Gutemberg de Souza. |
| ABSTRACT The facilities for laying hens should be designed to provide thermal comfort and satisfactory luminosity for the production of quality eggs. The objective of this study was to evaluate the spatial behavior of thermal conditions and light intensity of facilities for laying hens with vertical cages naturally conditioned during winter and summer. Air temperature, air relative humidity and light intensity data were collected in 75 points distributed evenly through the longitudinal direction of the installation in three tiers of cages (first, third and sixth). Each point represented a set of coordinates (x, y, z), being the x-axis the lines (L1, L2, L3, L4, L5), y-axis the sections (S1, S2, S3, S4, S5) and z-axis the tiers (N1, N2, N3). The spatial... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Characterization of the environment; Thermal variability; Light intensity.. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000500550 |
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| Ferraz,Patricia Ferreira Ponciano; Yanagi Junior,Tadayuki; Hernández Julio,Yamid Fabián; Castro,Jaqueline de Oliveira; Gates,Richard Stephen; Reis,Gregory Murad; Campos,Alessandro Torres. |
| The objective of this work was to develop, validate, and compare 190 artificial intelligence-based models for predicting the body mass of chicks from 2 to 21 days of age subjected to different duration and intensities of thermal challenge. The experiment was conducted inside four climate-controlled wind tunnels using 210 chicks. A database containing 840 datasets (from 2 to 21-day-old chicks) - with the variables dry-bulb air temperature, duration of thermal stress (days), chick age (days), and the daily body mass of chicks - was used for network training, validation, and tests of models based on artificial neural networks (ANNs) and neuro-fuzzy networks (NFNs). The ANNs were most accurate in predicting the body mass of chicks from 2 to 21 days of age... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Animal welfare; Artificial neural network; Broiler; Modeling; Neuro-fuzzy network; Thermal comfort. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000700559 |
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| Santos,Tatiany Carvalho dos; Gates,Richard Stephen; Tinôco,Ilda de Fátima Ferreira; Zolnier,Sérgio; Baêta,Fernando da Costa. |
| Abstract: The objective of this work was to evaluate the combined effects of air temperature and air velocity on the behavior of Japanese quail (Coturnix coturnix japonica). A total of 216 Japanese quail in their initial laying phase were used. Bird behavior was categorized with an ethogram (eat, drink, stop, open wings/shiver, others). The experimental design was a randomized complete block, in a 4x4 factorial arrangement, with four air velocities (0, 1, 2, and 3 m s-1) and air temperatures (17, 23, 29, and 35°C). The behavior “stop” was greater when the birds were subjected to 17°C. At 35°C, a significant reduction (p<0.05) was observed in the behavior “eat” at 0 m s-1, compared with the other velocities. The behaviors of laying quail are similar in... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Coturnix coturnix japonica; Cold stress; Ethology; Heat stress; Thermal sensation. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000500344 |
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