Abstract

Precision poultry farming is related to effective monitoring of production stages and product quality. This work evaluated the influence of temperature, air humidity, and luminosity variables on chicken egg production and quality (internal and external), under uncontrolled environment and natural lighting, using precision poultry techniques. One hundred and sixty birds of Embrapa 51 line, reared in cages, were assessed with 24, 30, 50, and 70 weeks of life. Values of temperature, relative humidity, luminosity, and the samples for productivity and egg quality determination were collected in predefined locations in a poultry house belonging to IFMS, Nova Andradina/MS Campus. Spatial maps were generated using the inverse distance weighted interpolation (IDW). Environmental variables show significant correlations with production and internal/external quality parameters of chicken egg raised in uncontrolled environments. The use of spatial maps for environmental characteristics of the poultry house, production, and internal/external chicken egg quality provides better visualization of the variations and correlations among the investigated variables, assisting the process of decision-making related to appropriate management and optimization of the poultry house.

Highlights

  • Chicken egg production in the second trimester of2019 (930.93 million of dozens) represented an increment of 5.8% concerning the same period of 2018 (857.60 million of dozens) and a 2% increase comparing the production of the first trimester of 2019 (IBGE, 2019)

  • Thermal factors such as temperature, humidity, thermal radiation, and air movement are fundamental for the vital function of birds, directly affecting egg production and sometimes may be considered even more important than homeothermy itself

  • The environmental variables have a significant correlation with the production and external and internal quality of chicken eggs reared in uncontrolled environments

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Summary

Introduction

Chicken egg production in the second trimester of2019 (930.93 million of dozens) represented an increment of 5.8% concerning the same period of 2018 (857.60 million of dozens) and a 2% increase comparing the production of the first trimester of 2019 (IBGE, 2019). Being a grain producer country attributes positive values to the national trade balance, even considering aspects associated with population distribution, making Brazilian agricultural production reach positive rates. These previous conditions make precision poultry farming favorable (Albino et al, 2014). It is possible to provide comfort to layers throughout the precise management of environmental variables (temperature, relative humidity) because climate conditions interfere with the egg production quality. The decision-making process becomes more effective through the analysis of the set of data obtained in the poultry house, as it is possible to optimize production time and identify internal and external factors that affect the productive results, deriving in economic gains (Revista Rural, 2019)

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