STATISTICAL MODELING OF CLIMATIC AND INCUBATOR CONDITIONS FOR HATCHABILITY OF JAPANESE QUAIL (COTURNIX COTURNIX JAPONICA) EGGS
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Date
2017
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Publisher
Nigerian Journal of Genetics
Abstract
The study was undertaken to verify the relationship between hatchability of quail eggs and environmental temperature and humidity (ET, EH) as well as incubator temperature and humidity (IT, IH), and to predict the hatchability of the eggs using ET, EH, IT, IH. A total number of 1421 and 2393 quail eggs were set in the late rainy and dry cold season respectively. Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) were
sed to predict hatchability while correlation studies were computed for the relationship. There were moderate negative relationships between hatchability of quail eggs and ET and EH. The four factors ET, EH, IT and IH could account for 95 and 30 percent of hatchability of the eggs using the ANN and MLR in the rainy season but 21 percent using ANN and MLR in dry season.