Betaine plays a vital role in forming amino acids to compose proteins, converted into structural tissue in poultry. This study aimed to predict the growth pattern of quails fed diet supplemented with betaine using a logistic regression model. In total, 84 10-day-old quails were divided into two treatments (T0: control, T1: betaine supplementation 0.12%). The diets were given in 2 phases (starter: 22% crude protein; layer: 20% crude protein), where weekly bodyweight data was recorded in each phase. The t-test was conducted to see the effect between treatments, while logistic regression was used to predict the pattern of bodyweight growth. The result showed no effect of betaine in bodyweight parameters (p>0.05) between T0 and T1 both for the starter and layer phases which might be associated with the nutrient sufficiency in the diet, particularly dietary protein. The logistic model’s bodyweight prediction has high accuracy with the fitness value for T0=99% and T1=98%. It can be concluded that betaine supplementation in high nutritional diets could not modify the growth pattern of quails.

Cecum microbes are important in utilizing feed nutrients and immunity systems in poultry. This study strived to define the composition of the genus Collinsella, Coriobacteriaceae UCG-002, and Olsenella in the quail cecum supplemented with different betaine schemes. The treatment consisted of 3 levels, namely: control (C); C+0.12% betaine supplementation (B1); and B1–0.12% betaine supplementation (B2). This study used a completely randomized design with three replications. The next-generation sequencing method of the 16S rRNA gene region V3-V4 was applied to view the taxonomy profile of microbes (Threshold: 0.8~1). The relative abundance of the genera Collinsella, Coriobacteriaceae UCG-002, and Olsenella were analyzed using ANOVA and Duncan’s test on R software. The results showed that the provision of B1 increased genus Collinsella and Coriobacteriaceae UCG-002 more than C and B2 (p<0.05). A significant decrease occurred in treatment B1 compared to treatment C indicated in the genus Olsenella as a pathogenic bacterium in the quail cecum (p<0.05). The B2 treatment showed the relative abundance of the genera Collinsella, Coriobacteriaceae UCG-002, and Olsenella tended to return to the microbial composition of treatment C. This study concluded that giving B1 improved the genus Collinsella, Coriobacteriaceae UCG-002, and Olsenella in the quail cecum tract.

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.

This study aims to estimate the Most Probable Producing Ability (MPPA) values of semen quality in five Bali cattle bull that collected from January to October 2016 at Singosari AI Center. The semen quality parameter consists of semen volume (ml), motility (%), concentration (x106), and total sperm (x106/ml) observed in rainy and dry season. Data were analyzed using intraclass correlation to estimate the repeatability and MPPA values. The average of semen quality in rainy and dry seasons, respectively, in volume were 3.91-6.24 ml and 4.38-6.84 ml, motility was 46.31-70.00% and 48.26-70.45%, semen concentrations were 844.78-1059.02 × 106/ml and 1033.15-1260.16 × 106/ml, and total sperm were 3280.58-5964.50 × 106 and 4493.31-7206.96×106. In this study, dry season shows better semen quality parameter as well as the repeatability value, therefore the estimation of MPPA in dry season is more accurate compared to rainy season.

Predicting cattle’s body weight is a common practice considering various reasons. This paper revisits four classical formulas commonly found in papers published by Indonesian researchers in predicting cattle’s body weight based on their body measurements namely Schoorl, Winter, Smith and Lambourne models. Data on body weight (BW) and body measurements (Chest Girth=CG and Body Length=BL) of 118 male and 106 female Bali cattle (2-3 yo) were collected from Bali cattle Breeding Center. The estimates from the prediction formulas were compared to the actual body weight. We run 10-folds cross validation procedure to obtain the predictive ability parameters. The mean BW, CG and BL for male cattle were 199.19±51.51 Kg; 144.55±13.43 cm and 107.86±9.30 cm; whereas for females were 161.34±34.35 Kg; 134.25±10.26 cm and 101.48±3.60 cm respectively. All four formulas have the accuracy between 84.90 to maximum of 89.68% in both male and female cattle groups. RMSE were considerably high in both male group (17.64 – 45.31) and female group (11.52 – 26.61). Although the correlations between actual and predicted BW are high, further study need to be done to determine whether the utilization of these predicted values as a response variable will introduce enough bias to affect the results of a research.