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Background and Aim: Global warming challenges cattle productivity and welfare since it affects heat stress and scarce feed. The heat-shock protein 70 (HSP70) gene is essential in cytoprotection against stressors, protecting cells from dysregulated gene expression and apoptosis. This study aimed to identify significant genetic markers of the HSP70.1 gene that can be leveraged genetically to enhance thermotolerance and production in Bali cattle further. Materials and Methods: Animals were sampled from three different rearing systems. In this study, 83 healthy adult male Bali cattle without abnormalities were utilized. Single-nucleotide polymorphism (SNP) diversity associated with the physiological and physical traits of Bali cattle was assessed using SNPStat online software. Gene expression for putative SNPs and their genotypic groups was further evaluated. Results: There were 15 polymorphic SNPs (c.-185G>A, c.-69T>G, c.10G>C, c.19A>G, c.45C>T, c.101INS, c.115T>C, c.130T>C, c.136G>T, c.159G>C, c.164G>T, c.234G>A, c.303G>A, c.333C>A, and c.456C>T) identified, of which 12 were associated with the assessed trait. Nine SNPs were associated with physiological traits, while eight were with physical traits. The c.136G>T as a novel, high minor allele frequency, and associative SNP was selected for HSP70 gene expression. Individuals with the TT genotype have a trim physique, susceptible physiology, and high HSP70 mRNA expression. On the other hand, the GG genotype was significantly associated with larger physique, lower physiology, and low HSP70 mRNA expression. The higher expression may indicate that HSP70.1 is involved in mitigating the deleterious effects of stress. As a result, the animal experienced negative energy balance, decreasing body size. Conclusion: Single-nucleotide polymorphism c.136G>T is a candidate biomarker for heat resistance traits in Bali cattle.

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To assess their potential for beef production, this study describes the morphometrics, physical traits, and body weight of 1034 Indonesian beef cattle from eight breeds, namely Bali, Rambon, Madura, Ongole Grade, Kebumen Ongole Grade, Sasra, Jabres, and Pasundan. An analysis of variance in addition to cluster, Euclidean distance, dendrogram, discriminant function, stepwise linear regression, and morphological index analyses were performed to describe the differences in traits among breeds. The morphometric proximity analysis revealed two distinct clusters with a common ancestor, where the first cluster included Jabres, Pasundan, Rambon, Bali, and Madura cattle and the second included Ongole Grade, Kebumen Ongole Grade, and Sasra cattle, with an average suitability value of 93.20 %. This showed that the classification and validation methods can be used to distinguish breeds. The most important factor in estimating body weight was the heart girth circumference. Ongole Grade cattle had the highest cumulative index, followed by Sasra, Kebumen Ongole Grade, Rambon, and Bali cattle. A cumulative index value >3 can be used as a threshold for determining the type and function of beef cattle.

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Growth curves are important for understanding the growth phase and specific characteristics of farm animals. This study evaluated growth curve models to predict the age at puberty and growth rate of Ongole Grade cattle. The study used the weights of cattle from birth to 5 years old in 2011 to 2019 obtained from the Beef Cattle Research Station. The data were analyzed using four non-linear growth curve models: Brody, von Bertalanffy, logistic, and Gompertz. The coefficients of determination (R2) of the growth equation for the respective models were in the high range. The lowest Akaike's information criterion (AIC) value for males and females was obtained by the Brody and logistic models, respectively. Males with the von Bertalanffy, logistic, and Gompertz models had an estimated age and body weight at puberty of 12.56 months and 198.93 kg, 21.46 months and 298.43 kg, and 15.71 months and 235.49 kg, respectively, while females had an estimated age and body weight of 11.79 months and 166.44 kg, 13.94 months and 164.08 kg, and 11.76 months and 169.57 kg, respectively. The Brody function best fit the growth rate and exhibited the smallest mean deviation.

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Determining double muscle based on the myostatin (MSTN) gene in Belgian blue (BB), Peranakan Ongole (PO) and BB × PO crossbred cattle is very important for crossbreeding programs. This study aimed to investigate single-nucleotide polymorphisms (SNPs) and 11-bp deletions in the coding region of the MSTN gene and their relationship with the double-muscled phenotype in BB × PO crossbred cattle. A total of 86 blood samples were collected from 28 individual BB, 43 individual PO, and 15 individual BB × PO crossbred cattle. SNPs and indel 11-bp variation in the coding region of the MSTN gene were found using the sequencing method, followed by the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. The MSTN gene in the coding region was detected in four SNPs found in PO cattle and its crossbreed. However, the four SNPs could not differentiate normal and double-muscled phenotypes although they are polymorphic. Moreover, in this study, an 11-bp deletion in exon 3 of the MSTN gene in BB cattle was found. In this case, by applying the PCR-RFLP technique using the restriction enzyme NmuCI (Tsp45I) in indel 11-bp, the genotypes that were successfully observed were +/+, +/del.11, and del.11/del.11.

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