This study was conducted to assess the effect of dietary supplementation of vitamin E and selenium on Japanese quail broilers. This trial was conducted in 525 Japanese quail birds from day- old to five weeks of age. Experimental birds were randomly divided into seven groups viz.T1Control:  Basal diet (standard Japanese quail ration), T2 Basal diet with vitamin E 150mg/kg, T3 Basal diet with vitamin E 300 mg/kg, T4 Basal diet with selenium 0.3mg/kg, T5 Basal diet with selenium 0.6mg/kg,T6 Basal diet with combination of vitamin E 150mg/kg and selenium 0.3mg/kg, T7 Basal diet with combination of vitamin E 300mg/kg and selenium 0.6mg/kg. Dietary supplementation with the combination of vitamin E 300mg/kg and selenium 0.6mg/kg resulted in significantly higher body weight, better feed efficiency, livability percentage and also enrichment of alpha-tocopherol and selenium level of liver, thigh and breast muscles in the Japanese quail broilers.

Objective: This study aimed to develop a method for predicting the body weight of beef cattle using meta-analysis based on digital image processing. Materials and Methods: The meta-analysis process commenced by collecting studies with the keywords "beef cattle," "correlation," "digital image," and "body weight" from Google Scholar and Science Direct. The obtained studies were reviewed papers based on their titles, abstracts, and content, and then categorized by authors, year, country, sample size, and correlation coefficient. A digital image of body measurements used included wither and hip height, chest depth, heart girth, body length, and top view. The statistical analysis was conducted by calculating effect sizes using the correlation coefficient and sample sizes. Results: The results of the meta-analysis, based on 3,017 cattle from 13 selected studies, showed the highest and lowest correlation coefficients for the top view variable and hip height. Based on cattle breed, significant differences (p < 0.05) were observed in the wither height variable with correlation coefficients of 0.94, 0.79, and 0.66 for Hanwoo, Holstein, and Simmental, respectively. Based on sex, significant differences (p < 0.05) were seen in the wither height variable, with correlation coefficients of 0.73 for males and 0.90 for females, while for hip height, the values were 0.70 and 0.87, respectively. Conclusion: In conclusion, to achieve the best accuracy in predicting the body weight of beef cattle based on a digital image, the top view variable can be used. However, for ease of field experimentation, body length or chest depth can also be used while taking breed and sex categories into the model. [J Adv Vet Anim Res 2024; 11(1.000): 153-160]

Objective: The aim of this study was to predict the body weight (BW) of a Belgian Blue X Friesian Holstein (BB X FH) crossbred in Indonesia based on morphometrics using random forest. Materials and Methods: A total of 26 BB X FH crossbreds were observed for BW, chest weight (CW), body length (BL), hip height (HH), wither height (WH), and chest girth (CG) from 0, 30, 60, 90, 120, 150, 180, 210, 240, 270, and 300 days of age. Stepwise regression and random forest were performed using R 3.6.1. Results: The random forest results show that CG is an important variable in estimating BW, with an important variable value of 24.49%. Likewise, the results obtained by stepwise regression show that CG can be an indicator of selection for the BB X FH crossbred. The R squared value obtained from the regression is 0.83, while the R squared value obtained from the random forest (0.86) is greater than the regression. Conclusion: In conclusion, random forest produces a better model than stepwise regression. However, a good simple equation to use to estimate BW is CG. [J Adv Vet Anim Res 2024; 11(1.000): 181-184]