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This study aims to determine the impact of different GDF9 genotypes on feed intake, nutrient digestibility, and nitrogen balance in Kacang goats by examining various metabolic processes. Twenty-nine Kacang goats were genotyped using PCR-RFLP DNA at position g.3855A/C of the GDF9 gene in exon 2. A 2 x 2 factorial design with two factors, namely, diet type (diets 1 and 2) and genotype (homozygote AA and heterozygote AC), was adopted. Diet 1 group comprised 11 goats with the AA genotype and 4 goats with the AC genotype, and the diet 2 group consisted of 9 goats with the AA genotype and 5 goats with the AC genotype. Both diets had the same protein content (isoprotein) and consisted of free-choice Napier grass (Pennisetum purpureum). Diet 1 had an additional 400 g of concentrate containing 11.25% crude protein (CP) and 55.86% total digestible nutrients (TDN). Diet 2 was a total mixed ration (TMR) containing 12.46% crude protein and 67.92% TDN. Results demonstrated a significant interaction (p<0.05) effect between diet and genotype on crude protein (CP) digestibility, neutral detergent fiber (NDF) digestibility, fecal nitrogen (N feces), urinary nitrogen (N urine), nitrogen retention (%), and blood urea nitrogen (BUN). However, no significant interaction effect was observed on the consumption of dry matter (DM), CP, crude fiber (CF), nitrogen free extract (NFE), and NDF and the digestibility of DM, CF, and NFE. TMR resulted in a 9% higher consumption of NDF, higher nutrient digestibility, improved nitrogen balance, average daily gain (ADG), and elevated glucose levels compared with diet 1. Kacang goats with the AC genotype exhibited better CP digestibility and increased nitrogen intake than those with the AA genotype. In conclusion, the GDF9 genotype influences the nutrient digestibility in Kacang goats, and those with the AC genotype utilize feed nutrients more efficiently than those with the AA genotype. The AC genotype resulting from the GDF9 gene mutation at position g.3855A>C can be used for genomic marker selection of high-quality Kacang goats in nutrient digestibility. [ABSTRACT FROM AUTHOR]

Bligon goat is one of the crossbred goats raised in Indonesia, which has a prolific nature, potentially increasing the economic benefits. The gene that particularly influences prolific traits is Growth Differentiation Factor 9 (GDF9). This study aims to identify the mutation analysis (SNPs and amino acid changes) and restriction enzymes map in the GDF9 of Bligon goats. Six pairs of primers were used to amplify target sequences of GDF9 by polymerase chain reaction method and continued by sequencing. The sequence products were analyzed to get information on the SNPs and restriction enzyme (RE) around the SNPs for genotyping by PCR-RFLP method. A total of 15 SNPs were found in position g.1956A>C, g.2248G>T, g.2470A>T, g.2172DelA (shift T, Heterozygote), g.2807C>T, g.2919C>T, g.2996C>T, g.3615T>C, g.3855A>C, g.3879A>G, g.3924A>G, g.3943G>T, g.3969G>A, g.3981G>A, and g.4314C>T. Eight out of fifteen SNPs are located at the exon. Thus, the amino acid shows one synonymous at Exon 1 (Leucine to Leucine) and seven non synonymous at exon 2 with varied amino acid alteration (Valine to Alanine, Glutamine to Proline, Lysine to Arginine, Lysine to Arginine, Glutamine to Histidine, Arginine to Lysine, and Serine to Asparagine, respectively). Two SNPs at position g.1956A>C in Exon 1 and g.3855A>C in exon 2 show the homozygote CC and heterozygote AC. The most sample at those two position 67% and 83% homozygote type, respectively. Recognitions of site restriction enzymes BsaI and BsmAI were found at g.1956A>C or g.667C>M (Exon I). SNP g.3855A>C or g.2566C>M was recognized by three restriction enzymes (MspI, HapII, and HpaII). Two SNPs were not recognized by the restriction enzyme, and two other SNPs have more than 12 fragmented sequences, and as a consequence, it is very difficult to analyze the genotype. In conclusion, fifteen site mutations were identified; however, only two potential genetic markers with transversion mutations in Exon 1 and Exon 2 were recognized by restriction enzymes (BsaI, HapII, and MspI). These enzymes were recommended as candidate markers for further genotype identification using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. [ABSTRACT FROM AUTHOR]

Objective: Sumba Ongole (SO) cattle are valuable breed due to their important role in the development of Indonesian cattle. Despite rapid advances in molecular technology, no genomic studies on SO cattle have been conducted to date. The aim of this study is to provide genomic profile related to the population diversity, admixture, and demographic trends of SO cattle., Methods: Genomic information was gathered from 79 SO cattle using the Illumina Bovine SNP50 v3 Beadchip, and for comparative purposes, additional genotypes from 209 cattle populations worldwide were included. The expected and observed heterozygosity, inbreeding coefficient, pairwise fixation indices between-population, and Nei's genetic distance were examined. Multidimensional scaling, admixture, and treemix analyses were used to investigate the population structure. Based on linkage disequilibrium and effective population size calculations, the demographic trend was observed., Results: The findings indicated that the genetic diversity of SO cattle was similar to that of other indicine breeds. SO cattle were genetically related to indicines but not to taurines or Bali cattle. The study further confirmed the close relationship between SO, Ongole, and Nellore cattle. Additionally, a small portion of the Ongole mixture were identified dominant in the SO population at the moment. The study also discovered that SO and Bali cattle (Bos javanicus) could have been ancestors in the development of Ongole Grade cattle, which corresponds to the documented history of Ongolization. Our finding indicate that SO cattle have maintained stability and possess unique traits separate from their ancestors., Conclusion: In conclusion, the genetic diversity of the SO cattle has been conserved as a result of the growing significance of the present demographic trend. Consistent endeavors are necessary to uphold the fitness of the breed.

Objective: This study aimed to establish and focus on the implications of precise energy and protein levels on reproductive performance. This study based on field facts showed that excessive feed intake, especially protein intake, to increase productivity will lead to some decreased reproductive efficiency through disruption of reproductive hormonal compound biosynthesis or increasing blood urea nitrogen (BUN), which has rarely been studied., Materials and Methods: Healthy and mature Saanen crossbred goats raised by traditional farmers (2-4 years old; ± 45 kg) were divided into three experimental groups [T0 = basal feed according to the feed provided by farmers, T1 = protein and energy balanced feed according to National Research Council (NRC) (±5%), T2 = feed >20% excess protein, and excess energy from NRC] ( n = 75). The factorial method was used in the experimental design with a post-hoc least significant difference test., Results: The data showed a significant difference ( p < 0.05) in the biochemical or hormonal parameters between the control and the treatment groups. Also, T1 showed leads in any blood profile and reproductive hormone parameters such as total protein (79.6 ± 5.3 gm/dl), cholesterol (3.26 ± 0.47 mmol/l), progesterone (1.79 ± 2.21 ng/ml), and estrogen (47.85 ± 5.51 pg/ml), as well as the lowest levels of BUN (11.6 ± 1.59 mmol/l) and cortisol (25.07 ± 14.85 ng/ml) levels. T1 had the highest reproductive potential after treatment., Conclusion: The adverse effects of high and low protein consumption on reproductive hormones seem to be related to the blood profile and ovarian function, as hormone concentrations change significantly and lead to reproductive impairment. The data showed that balanced nutrient levels (5%/T1) resulted in excellent blood and hormone parameters., Competing Interests: We confirm that no competing interests exist with any company or institution mentioned in the manuscript., (Copyright: © Journal of Advanced Veterinary and Animal Research.)

&lt;b&gt;Background and Objective:&lt;/b&gt; Early detection of DNA defects in spermatozoa is vital because genetic abnormalities are associated with infertility and miscarriage. Eosin is an acidic stain with negatively charged chromatolytic components also found in the cytoplasm of spermatozoa. This study aimed to observe the effectiveness of eosin staining in detecting spermatozoa DNA deterioration. &lt;b&gt;Materials and Methods:&lt;/b&gt; A total of four-hundred frozen beef straws from Simmental, Limousin and Brahman cattle and Ongole crossbreeds, were obtained from the Singosari National Artificial Insemination Center, Malang, Indonesia.Hydrogen peroxide was used to degrade frozen sperm. In addition, the sperm was subjected to three treatments: Agarose trapping, membrane lysis and eosin staining. &lt;b&gt;Results:&lt;/b&gt; Damaged bull spermatozoa stained with eosin were bright red in color around the head and mid piece, whereas the head of undamaged spermatozoa were darker red. The average value of damaged DNA was 89.08±3.27% as assessed with eosin staining. &lt;b&gt;Conclusion:&lt;/b&gt; Eosin staining effectively detects DNA damage in bull spermatozoa, but extended effectiveness tests are considered necessary.

Background and Aim: Body condition scores (BCSs) assessment can be a potential management tool for the improvement of animal performance. The study investigated whether blood metabolic (protein, glucose, blood urea nitrogen, and cholesterol) and steroid hormonal (progesterone, estrogen, and cortisol) parameters are affected by the BCS and estrous status in Saanen goat., Materials and Methods: Blood samples were collected from three groups of mature, dry, and non-pregnant female goats with different BCSs: 2-2.9 (BCS 2), 3-3.9 (BCS 3), and 4-4.9 (BCS 4) on a BCS scale ranged from 1 to 5. Blood serum was collected (n = 160) to determine the blood metabolic profile and steroid hormone levels, depending on the follicular status., Results: The results demonstrate a variation in the serum metabolite and hormone (glucose, BUN, protein, estrogen, and cortisol) levels at different BCSs and at different phases of the estrous cycle. The hormonal profiles were significantly different (p<0.05) between the estrous cycle phases. The results suggest that BCSs were associated with blood metabolic profiles and steroid hormone levels., Conclusion: As it can be concluded, an association between steroid hormone levels and the phases of the estrous cycle existed in Saanen goats., (Copyright: © Sitaresmi, et al.)

Background and Objective: In goats, weak estrus behavior is potentially caused by a decline in reproductive efficiency. In the present study, aim was to measure the vaginal pH to determine the accuracy of lust detection in Saanen Etawah crossbreed goats., Materials and Methods: Thirteen Saanen Etawah crossbred does (Capra hircus) with body condition score of 2-3 were used. The dose were fed concentrate, provided forage and water ad libitum. The experiment was conducted during the natural estrous cycle. Vaginal smears were collected from each dose every day over a 60 days period to determine the time of each phase of the estrous cycle. The vaginal pH was measured using pH indicator paper; simultaneously, the blood was sampled from the caudal vein into anticoagulant-coated tubes following estrous cycle, covering estrus (E/day-0), metestrus (M/day-3), diestrus (D/day-12) and proestrus (P/day-15). The concentration of plasma estrogen and cortisol was determined by solid phase competitive enzyme-linked immune sorbent assay and the correlation between vaginal pH with each phase of estrous cycle and estrogen level was found., Results: The changes in vaginal pH were confirmed with estrogen and cortisol profile at each estrous phase. The highest vaginal pH and estrogen content were found during estrus, whereas, the lowest vaginal pH and estrogen content was found during diestrus. Furthermore, the cortisol level was significantly different in each phase of the estrous cycle; the highest level of cortisol was observed during proestrus., Conclusion: The correlation between vaginal pH and estrous phase indicates that the vaginal pH can be a useful parameter for estrus detection.