Hatching results are directly related to environmental and biological surroundings. This research study aimed at evaluating the influence of incubation environmental conditions on hatchability and one-day-old chickling quality of five production flocks using multivariable analysis tool. The experiment was carried out in a commercial hatchery located in the state of São Paulo, Brazil. Environmental variables such as dry bulb temperature, relative humidity, carbon dioxide concentration, and number of colony forming units of fungi were recorded inside a broiler multi-stage setter, a hatcher after eggs transference, and a chick-processing room. The homogeneity of parameter distribution among quadrants inside the setter, the hatcher, and the chick room was tested using the non-parametric test of Kruskal-Wallis, and the fit analysis was applied. The multivariate analysis was applied using the Main Component Technique in order to identify possible correlations between environmental and production parameters. Three different groups were identified: the first group is represented by temperature, which was positively correlated both with good hatchability and good chick quality; the second group indicates that poor chick quality was positively correlated with air velocity and relative humidity increase. The third group, represented by carbon dioxide concentration and fungi colonies forming units, presented strong positive association with embryo mortality increase.

Intensive broiler production in tropical climates requires adequate air circulation to control heat stress. Excess of air speed may lead to dust production and reduction of air quality and, consequently, production parameters. Brazilian regulations prohibit the presence of pathogens that may deteriorate air quality, and the presence of fungi in the air inside the poultry houses is limited to 750CFU/m³. The aim of this study was to evaluate the presence of fungi in two distinct types of broiler houses. The research compared two types of air ventilation: conventional (G1) and positive tunnel ventilation (G2). The fungi were collected using a dust sampling pump, with the air flow calibrated to 1.5 L/min. The filter impregnated with dust was submitted to growth for two days using five Petri dishes. Microbiology analysis showed that there were 1,239 CFU and 2,011 CFU in G1 and G2, respectively. The different genera of fungi found and their percentages were: Penicillium 29.16%, Aspergillus 37.5% and Fusarium 29.16% in G1 and Penicillium 33.34%, Aspergillus 26.64%, Fusarium 23.34% and Neurospora 3.34% in G2.