Application of logistic model to predict egg production pattern of quails given a low-energy diet supplemented with methionine

Abstract

Tropical countries such as Indonesia face high temperatures, which impact the energy utilization in poultry. This study aims to predict the egg production pattern of quail supplemented with methionine in a low-energy diet. In total, 204 laying quails were divided into two treatments: Control (T0) and 0.12% methionine supplementation (T1). After three weeks adaptation period, daily egg production data were collected for two periods of four weeks each (treatment period week 4-11). The t-test was applied to analyze the egg production data. Egg production patterns were predicted using logistic regression. The egg production pattern of T1 showed a significant increase compared to T0 during the treatment period (p<0.01) and overall period (p<0.01). Peak production from T0 and T1 was 59.14% vs. 66.82%, with a production rate of 0.22 vs. 0.18 and prediction accuracy of 91% vs. 86%, respectively. In conclusion, methionine supplementation to a low-energy diet increased egg production of quails.