RESUMEN
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.
RESUMEN
Objective: The aim of the study was to use a meta-analysis to identify the correlation between linear body measurements, including body length (BL), wither height (WH), heart girth (HG), and body volume (BV), and body weight in beef cattle by breed, sex, and age as categories. Materials and methods: These results can be used as a method for predicting beef cattle body weight. This study used systematic review and meta-analysis guidelines to create a checklist. The first stage was searching for papers relevant to the study objectives. The second stage was searching using the keywords beef cattle, body weight, body measurement, and correlation. The third stage was reviewing the title and abstract. The fourth stage was abstracting information from selected papers, and the last stage was tabulating data. Results: The results from this study were obtained, and 32 papers were eligible for the meta-analysis stage. The correlation between linear body measurement and body weight of beef cattle showed that HG (r = 0.88) and BV (r = 0.97) were significantly (p < 0.05) different compared to BL (r = 0.74) and WH (r = 0.72). The correlation between HG and body weight, and the categorization of cattle breeds showed significantly (p < 0.05) different results. The correlation between BV and body weight of cattle according to breed categories showed results that were not significantly (p > 0.05) different, while age was significantly (p < 0.05). Conclusion: In conclusion, to predict beef cattle body weight, it is necessary to use HG or BV, with breed, sex, and age of cattle as categories.
RESUMEN
BACKGROUND AND AIM: Lecithin based diluent such as AndroMed, is a semen diluent made without animal components to prevent the risk of disease transmission, while glutathione (GSH) is an intracellular non-enzymatic antioxidant that prevents cell damage due to reactive oxygen species. Meanwhile, the specific impact of AndroMed and GSH combinations on spermatozoa abnormalities has not been fully studied. Therefore, this study aims to determine the effect of using cauda epididymal plasma-2 (CEP-2) and AndroMed diluents with or without the addition of GSH on the abnormalities of sexing semen of Ongole crossbred bulls in cold storage. MATERIALS AND METHODS: This study used a factorial completely randomized design 2×2, the first factor was types of diluent and the second was with or without the addition of GSH. Observation of spermatozoa abnormalities was carried out at a storage time of 0-5 days using 297 ejaculations of liquid semen, with 100 spermatozoa observed per smear of each ejaculate. Furthermore, the data were analyzed using a two-way analysis of variance and the significant threshold (p-value) for statistical analysis was set at <0.05. RESULTS: The results showed that there was a significant difference (p<0.05) between AndroMed and CEP-2 in minimizing the abnormalities of upper layer spermatozoa (X), with parameters DH and AD on day 0, damage of spermatozoa (DMR) on days 1-5, and dag-like defect (DLD) on day 5. Furthermore, spermatozoa abnormalities in the lower layer (Y) showed a significant difference between diluents in the parameters of AD on day 1, DMR on days 0-5, and DLD on days 1-5. The significant difference between with or without the addition of GSH in the X sperm was observed in the DH parameters on day 0 and DMR on 5, while there was no significant difference in the Y sperm. CONCLUSION: Based on the results, AndroMed has the potential to minimize spermatozoa abnormalities compared to CEP-2 diluent in sexed liquid semen. Therefore, AndroMed diluents with or without the addition of 1 mM GSH have no significant effect on spermatozoa abnormalities.
