Open AccessFitness of logistics model for predicting quails egg production reared in a tropical environment with dietary betaine supplementation
Author(s) -
Ahmad Masykur,
Aini Azizah,
N Widyas,
Sigit Prastowo,
Adı Ratriyanto
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/902/1/012020
Subject(s) - betaine , quail , zoology , biology , osmolyte , logistic regression , veterinary medicine , mathematics , ecology , biochemistry , statistics , medicine
Betaine is a methyl group donor and organic osmolyte, optimizing quail’s performance, particularly in a tropical environment. This study determined the fitness of the logistic model to predict the quail egg production with dietary betaine supplementation. Two hundred and four quails were divided into two dietary treatments, and six replicates with 17 quails each. The treatment diets were control (CTR) and 0.12% betaine supplementation (BET). Egg production data were collected for eleven weeks, and a T-test was performed. Next, the data is plotted to get the actual egg production curve. The fit of the logistic model is calculated according to the coefficient of determination (R 2 ). Quail that received betaine supplementation produced more eggs than control (P<0.05). The actual egg production curve shows the effect of betaine supplementation seen after the fourth week. The logistic model predicts CTR to reach peak production faster than BET but to have lower peak production than BET (56.63% vs. 63.56%). Prediction of egg production both CTR and BET showed high accuracy with a relatively high R 2 (0.88; CTR and 0.87; BET). Thus, the logistic model accurately predicted quails egg production reared in a tropical environment with betaine supplementation.