Spatial behavior of the thermo-luminous conditions of facility laying hens in naturally ventilated vertical system

• Autor(a) principal: Freitas,Letícia Cibele da Silva Ramos
• Data de Publicação: 2018
• Outros Autores: Tinôco,Ilda de Fátima Ferreira, Gates,Richard Stephen, Souza,Cecília de Fátima, barbari,Matteo, Teles Junior,Carlos Gutemberg de Souza
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Ciência e Agrotecnologia (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000500550
• topic: Characterization of the environment; thermal variability; light intensity.

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 behavior of the thermal conditions of the facility was held during the coldest period of winter and the warmest period of summer. The experimental design was completely randomized in a factorial scheme. In the winter, the temperature showed homogeneous behavior among sections and variable among lines. In the summer, the spatial variability of temperature and humidity was more accentuated than in the winter, mainly among tiers. For both seasons, the center of the facility presented lower light intensity than the lateral. From the spatial behavior of the thermal conditions of the facility laying hens, it is possible to verify the magnitude and variability of temperature, relative humidity and light intensity, identify vulnerable and deficit thermal regions and contribute to decision-making related to thermal conditioning and luminosity of the facility.