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Eggs are one of the consumed foods that contain many essential amino acid nutrients such as lysine, tryptophan, and methionine. Egg quality can be seen from the storability of eggs after they are produced. This study aims to evaluate the effect of various storage lengths on the external and internal quality of chicken egg consumption of the Isa Brown strain at the beginning of production at room temperature. The research method is a Laboratories experiment using a Complete Randomized Design. The study treatment consisted of egg storage duration for 0 days (P0), 7 days (P1), 14 days (P2), and 21 days (P3) with 4 repeats and each test unit of 4 eggs. The research variables include external qualities: egg weight, egg index, shell weight, and eggshell thickness, then internal qualities: egg white index, yolk index, yolk color, and egg pH. The data obtained in this study were analyzed with ANOVA, if there are differences between treatments, then proceed with the the Least Significant Differenttest. The results showed that the duration of deviation had a very noticeable influence (P0.01) on the egg index. The length of storage also has a very noticeable influence on the internal quality of eggs (P

ABSTRACT: In most countries, ostrich farming is considered a developing branch of the efficient poultry industry. The profitability of ostrich farm requires specific consideration of productions features such as the female fertility, egg production, hatchability, and growth performance. Hence, this study aimed to fit nonlinear functions to describe the ostrich egg production pattern to achieve the most appropriate and recommendable mathematical function for future studies. For this purpose, 14,507 daily records of 184 female ostriches in 5 production seasons (periods) during 2016 to 2021 were used. Five nonlinear functions including Incomplete gamma (Wood function), Corrected gamma (McNally), nonlinear Logistic (Yang), Logistic (Nelder), and Lokhorst were fitted for modeling the egg production curve in ostrich. The goodness of fit criteria's including Mean Square Error (MSE), Likelihood Ratio Test (LRT), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC) were used to evaluate and selection of the best function. The results indicated that the Wood and the McNally functions with a slight difference in all fitting criteria were the best-fitted functions and the Yang function with the highest values of MSE, LRT, AIC, BIC, were the most inappropriate function to describe the ostrich egg production curve. The McNally and the Wood can be recommended as appropriate functions to describe egg production during 5 production seasons in the studied ostrich flock.