The objective of this study was to determine the relationship between the MRF gene family members and slaughter characteristics in Saanen kids with varying slaughter weights. Twenty male kids of the Turkish Saanen breed were individually fattened for 60 days after weaning under an intensive management system. The kids were divided into two groups: low slaughter weight (L; n = 11; ≤29 kg) and high slaughter weight (H; n = 13; >29) at the end of the fattening. After slaughter, muscle samples from Longissimus-dorsi (LD) and Semitendinosus (ST) muscles were obtained. Carcass characteristics were higher in H than in L kids (p < 0.05). Myogenic Factor 5 gene expression level in the LD muscle of H kids was higher (p < 0.05) than that of L kids. A similar trend was observed regarding Myogenic Factor 6 and Myoblast Determination Factor gene expression levels in the LD muscle (p < 0.05). Also, the Myogenin gene expression level of H kids was higher than that of L kids in both muscles (p < 0.05). There were positive correlations among the slaughter weight, carcass characteristics, and some MRF gene expression levels in both muscles (p < 0.05) that the higher gene expression increases the weight and affects the carcass characteristics. The study results suggest that the difference in slaughter weight at the end of fattening in Saanen kids may be due to the expression level of myogenic regulatory factor (MRF) genes. Fattening performance and MRF genes may have a positive correlation.

The aim of this study is to evaluate the model performance in the classification of FAMACHA© scores using Support Vector Machines (SVMs) with a focus on the estimation of the FAMACHA© scoring system used for early diagnosis and treatment management of parasitic infections. FAMACHA© scores are a color-based visual assessment system used to determine parasite load in animals, and in this study, the accuracy of the model was investigated. The model’s accuracy rate was analyzed in detail with metrics such as sensitivity, specificity, and positive/negative predictive values. The results showed that the model had high sensitivity and specificity rates for class 1 and class 3, while the performance was relatively low for class 2. These findings not only demonstrate that SVM is an effective method for classifying FAMACHA© scores but also highlight the need for improvement for class 2. In particular, the high accuracy rate (97.26%) and high kappa value (0.9588) of the model indicate that SVM is a reliable tool for FAMACHA© score estimation. In conclusion, this study demonstrates the potential of SVM technology in veterinary epidemiology and provides important information for future applications. These results may contribute to efforts to improve scientific approaches for the management of parasitic infections.

Fiber and cellular characteristics of skeletal muscle mass are directly related to growth in farm animals. Therefore, this study aimed to examine the DNA,

Morphometric measurements can be used for the separation of animal breeds. The hypothesis of this manuscript is based on the assumption that the discriminatory power of morphometric features can change during the growth process. For this aim Angora, Hair, Kilis, and Honamlı goat breeds in three different ages that at birth, weaning (90 days of age), and mature (one year old) animals from were evaluated. For dimension reduction Principal Component Analysis was used and Multivariate Discriminant Stepwise Analysis Method (MDASM) was used to determine the differences and grouping levels in terms of biometric measurements of nine animals per genotype such as height at wither (HW), height at sacrum (HS), body length (BL), chest girth (CG), chest width (CW), and chest circumference (CC) for discrimination of goat genotypes. Our results showed that there were differences among ages that at birth, weaning, and mature in spite of discrimination according to biometric measurements. The highest correct classification rate obtained for mature age (91.18%) which was 25.66% higher than age of birth. These findings supported that the measurements taken at mature age should be used for robust discrimination. The chest girth, chest circumference, and chest width were found the most significant variables for classification.