Association of polymorphism in the promotor area of the caprine BMPR1B gene with litter size and body measurement traits in Damani goats.

This study aimed to explore polymorphisms in the promoter region of the caprine BMPR1B (Bone morphogenetic protein receptor 1 beta) gene and its association with body measurement and litter size traits in Damani does. A total of 53 blood samples were collected to analyze the association between the BMPR1B gene polymorphism and 11 phenotypic traits in Damani female goats. The results revealed that three novel SNPs were identified in the promoter region of the caprine BMPR1B gene, including g.67 A > C (SNP1), g.170 G > A(SNP2), and g.501A > T (SNP3), among which the SNP1 and SNP2 were significantly (p < 0.05) associated with litter size and body measurement traits in Damani goats. In SNP1 the AC genotype could be used as a marker for litter size, and the CC genotype for body weight in Damani goats. In SNP2, the genotype GG was significantly (p < 0.05) associated with ear and head length. Therefore, we can conclude from the present study, that genetic variants AC and CC of the caprine BMPR1B gene could be used as genetic markers for economic traits through marker-assisted selection for the breed improvement program of the Damani goat.

Bioinformatics and genetic variants analysis of FGF10 gene promoter with their association at carcass quality and body measurement traits in Qinchuan beef cattle.

The fibroblast growth factor 10 (FGF10) gene regulates adipogenesis and myogensis. In this study, sequencing of FGF10 prompter region identified three SNPs at loci g.78G > A, g.116C > T and g.201A > T. Each SNP yields three genotypes as GG, GA and AA at loci g.78G > A, CC, CT and TT at loci g.116C > T and AA, AT and TT at loci g.201A > T. Allelic and genotypic frequencies of all three SNPs deviated from the Hardy-Weinberg equilibrium (HWE) (P < 0.05) and were found highly polymorphic as PIC (0.25 < PIC < 0.50). Moreover, we found highest LD (D'/γ2) between SNP2 and SNP3 (0.989/0.909), followed by SNP1 and SNP3 (0.944/0.796). Moreover, three variants of FGF10 gene promoter exhibited significant (P < 0.05) association with body measurement and carcass quality traits in Qinchuan beef cattle. At loci g.78G > A, the genotype GG showed significantly (P < 0.01) larger body length (BL), rump length (RL), chest depth (CD), chest circumference (CC) and ultrasound loin area (ULA). The genotype TC at loci g.116C > T showed significantly (P < 0.01 and 0.05) larger body measurement and intramuscular fat, and ultrasound loin area (ULA). In addition to that, at loci g.201A > T, genotype TT showed significantly (P < 0.01 and P < 0.05) larger body length (BL), rump length (RL), hip width (HW), chest circumference (CC) and ultrasound loin area (ULA). Additionally, screening of promoter sequence of FGF10 gene explored loss of four TFs binding sites (KLF3, ZNF37α, GLIS2 and BCL11A) at g.116C > T because of SNP2. However, a single TF binding site was lost at g.202A > T due to SNP3. Interestingly, none of TF binding site was lost at g.78G > A in SNP1; however, one new TF binding site was gained at this location due to SNP1. These findings conclude that genotype GG, TC and TT could be used as genetic markers of FGF10 gene for body measurement and carcass quality traits in Qinchuan beef cattle.

Genetic variants of TORC1 gene promoter and their association with carcass quality and body measurement traits in Qinchuan beef cattle.

In the present study, sequencing of TORC1 prompter region explored three SNPs at loci g.80G>T, g.93A>T, and g.1253G>A. The SNP1 produced GG, GT and TT, SNP2 AA, AT and TT, and SNP3 produced GG, GA and AA genotypes. Allelic and genotypic frequencies analysis exhibited that SNP1 is within Hardy-Weinberg equilibrium (HWE). All three SNPs were found highly polymorphic as PIC value (0.25 < PIC < 0.50). At loci g.80G>T the cattle with genotype GG showed significantly (P <0.01) larger body length (BL), Wither height (WH), Hip height (HH), Rump length (RL), Hip width (HW), Chest depth (CD), and Chest circumference (CC). The genotype AA at g.93A>T showed significantly (P< 0.01 and 0.05) Larger body length (BL), Wither height (WH), Hip height, Rump length (RL), Hip width (HW), Chest depth (CD), and Chest circumference (CC). Interestingly, the carcass quality parameters such as Ultrasound loin area (ULA) and Intramuscular fat percentage (IF%) was highest in genotype GG at loci g.1253G>A. These findings conclude that genotype GG at loci g.80 G>T and AA at loci g.93A>T could be used as genetic markers for body measurement and genotype GG at loci g.1253G>A for carcass quality traits of TORC1 gene in Qinchuan beef cattle.

The growth curve determination and economic trait correlation for Qinchuan bull population.

Carcass weight, as a measure of meat yield, and body measurements are directly correlated traits in livestock. However, longitudinally collected phenotype records of local breeds are not comprehensive. The research was performed on Qinchuan bull population to understand their growth and development, and data from Qinchuan bull that was weighed and measured at birth, 6, 12, 18, and 24 months of age was analyzed. Furthermore, Logistic, Brody, Gompertz, and Bertallanffy were used to fit the growth curves for weight and body size traits. The results showed that the four curve models have good fitting degrees for the weight and body size (R2 > 0.99), and the Bertallanffy model exhibited a good fit to the measured data of body weight, and the model estimated the inflection point of body weight as (5.43 months of age, 122.01 kg). Particularly, the limited mature body weight can reach 557.8 kg by the Brody model. Body weight was significantly positively correlated with body height, hip height, body length, chest circumference, abdominal girth, and calf girth (p < 0.0001), and the correlation between body weight and body length was the highest (r = 0.975). The regression equation predicting body weight was Y = -275.691 + 3.28 X3 + 1.311 X4 - 0.397 X5.

Assessment of semen quality and anti-oxidative enzyme activity between bovine sex-sorted and non-sex-sorted frozen-thawed semen.

In the current study, the difference between the sex-sorted and non-sex-sorted frozen semen of Holstein Friesian breed cattle was investigated. Significant variation (p < .05) was found in the semen quality parameters such as motility; vitality; acrosome integrity rate; the anti-oxidative enzyme activity including GSH (glutathione); SOD (superoxide dismutase); CAT (catalase); GSH-Px (glutathione peroxidase) and the rate of fertilization. The results showed that the sperm acrosome integrity and motility of the non-sorted sperm were higher compared to sex-sorted sperm (p < .05). The linearity index and mean coefficient analysis revealed that the percentage of 'grade a' in sex-sorted sperm were significantly (p < .05) lower than non-sorted sperm. Interestingly, low SOD level and high CAT level was found in the non-sexed semen than in the sexed semen (p < .05). Furthermore, the GSH and GSH-Px activity in the sexed semen was found lower than the non-sexed semen (p < .05). In conclusion, sperm motility characteristics were lower in sex-sorted semen than in non-sex-sorted semen. This might be related to the complex process of sexed semen production, which could reduce sperm motility and movement characteristics, acrosomal integrity, CAT, SOD, GSH and GSH-Px, and finally lead to the decline in the fertilization rate.

Polymorphism and association study of lactoferrin (LF) gene with milk yield, milk composition, and somatic cell count in Beetal goats.

The sequence analysis of PCR product exhibited four novel SNPs in the promoter region of the LF gene at loci g.98T>C, g.143T>A, g.189AC>A, and g.346A>G. Each SNP yielded three genotypes; the genotypes TT (SNP1), AA (SNP3), and GG (SNP4) decreased SCC and increase milk quality traits such as density, protein, and milk yield (P < 0.01). The genotype CC (SNP2) and CA (SNP4) significantly (P < 0.01) decreased the milk quality parameters, while genotypes TC (SNP2) and GG (SNP4) showed significantly (P < 0.01) less SCC and increase lactose % in milk. Furthermore, screening of the LF promoter sequence explored the gain of four TF binding sites at locus g.98T˃C and three TF binding sites at g.346A˃G. However, the loss of four and two TF binding sites was seen at locus g.143T˃A and g.189C˃A, respectively. We can conclude from the present study that the GG, TT, and AA genotype might be utilized as genetic markers in marker-assisted selection for the breed improvement program of Beetal goats.

Effect of dietary inclusion of mealworm frass on growth, hematology, and serum biochemistry of sheep.

Frass is the main component of worm by-product which exhibit anti-microbial and anti-pathogenic properties. In the present study, we assessed the possibility of mealworm frass in sheep feeding regime and evaluated its effect on health and growth performance of sheep. A total of 09 experimental sheep (18-24 months of age) were grouped into three categories (T1, T3, and T3); each group comprised 3 animals including 2 males and 1 female. Group T1 was considered control, group T2 contains 75% commercial feed and 25 mealworm frass, and T3 was 50:50 of commercial feed and mealworm frass. The sheep in group T2 showed average weight gain of 2.9 kg; however, when the dietary inclusion increased up to 50% of mealworm frass or decreased up to 50% of concentrate feed, the average weight gain decreased up to 2.01 kg (group T3). Moreover, the sheep fed with 25% mealworm frass exhibited the lowest feed refusal percentage (6.33%) in total duration of the dietary period (6 weeks). The highest volume of RBC was found in blood collected from sheep fed within group T2 (10.22 1012/L ± 0.34), followed by sheep fed in group T3 (8.96 × 1012/L ± 0.99) (P < 0.05). Significantly (P < 0.05) highest MCV volume in fL (femtoliter) was found in group T2 (32.83 ± 0.44) followed by group T3 (31.23 ± 0.23). The animals in group T3 showed significantly (P < 0.05) highest MCHC volume (40.47 g/dL ± 0.62) followed by group T2 (38.77 ± 0.97). Similar trend was found in MPV (fL); significantly (P < 0.05) highest MPV volume was found in group T3 (12.63 ± 0.09) followed by group T2 (12.53 ± 0.33). Significantly (P < 0.05) high serum phosphorous (P) (6.00 ± 0.29), TG (60.03 ± 3.11), and TP (7.63 g/dL ± 0.23) levels were found in group T3, followed by animals in group T2. We can conclude that inclusion of mealworm frass to replace 25% commercial concentrate feed improved the growth rate and overall health status of the sheep. The present study laid a foundation for the utilization of the mealworm frass (waste product) in ruminant feeding.

Roles of MEF2A and HOXA5 in the transcriptional regulation of the bovine FoxO1 gene.

The Forkhead box factor 1 (FoxO1) gene plays a vital role in the growth and development of skeletal muscle. In the present study, expression analysis of the bovine FoxO1 gene exhibited the highest expression in longissimus dorsi muscle followed by its expression in adipose tissue. Moreover, high mRNA expression of FoxO1 gene was found in differentiated bovine myoblasts and adipocytes at day 6 of induced differentiation (p < 0.05). The regulatory pattern of the bovine FoxO1 gene was investigated through screening and dual-luciferase activity of the 1.7 kb 5'UTR (untranslated region) within pGL3-basic vector and a core promoter region was explored at (-285/-27) upstream of the transcription start site. The transcription factors (TFs) MEF2A and HOXA5 within the core promoter region (-285/-27) were found as the regulatory cis-acting element. The siRNA interference of the TFs, chromatin immunoprecipitation (ChIP) assay, and site-directed mutation validated that MEF2A and HOXA5 binding occurs in the region -285/-27 bp and performs an essential role in the transcriptional regulation of bovine FoxO1 gene. These findings explored the regulatory network mechanism of the FoxO1 gene in skeletal muscle development and adipogenesis for the bovine breed improvement program.

Bioinformatics analysis and the association of polymorphisms within the caprine GDF9 gene promoter with economically useful traits in Damani goats.

The blood sample from 60 Damani does were collected and genomic DNA was extracted, and DNA integrity were investigated. A 447 bp promoter fragment of the GDF9 gene was amplified and Sanger sequenced for the identification of GDF9 gene polymorphism. Three novel SNPs were identified at positions g. 97(T > A), g. 142 (G > G) and g. 313(C > T) in the promoter region of the caprine GDF9 gene which significantly (P < 0.05) influenced litter size, body measurement, and milk production traits in Damani goats. The genotype CT of SNP1 significantly (P < 0.05) improved litter size, genotype GG of SNP2 significantly (P < 0.05) enhanced milk production, while the genotypes CC of SNP3 significant (P < 0.05) increased body measurement traits in Damani goats. Moreover, in SNP1 loss of 3 transcription factors (TF) binding sites occurred, SNP2 caused loss of two TFs binding sites, and SNP3 caused loss of a single TF binding site. Similarly, SNP1 and SNP2 caused the gain of three new potential TF binding sites, and SNP3 caused gain of two new TF binding sites. It is concluded that caprine GDF9 gene could be used as a candidate gene for litter size, milk production and body measurement traits in Damani goats through marker-assisted selection for future breeding program.

Molecular epidemiology and characterization of Babesia bovis in cattle of Khyber Pakhtunkhwa province, Pakistan.

Babesiosis is a tick-borne disease found globally but most prominent in tropical and subtropical regions. It is responsible for huge mortality and morbidity, especially in developing countries like Pakistan. The current study was designed to determine the molecular epidemiology and characterization of Babesia bovis (B. bovis) infection in cattle populations of districts Mardan, Kohat and Swat of Khyber Pakhtunkhwa (KP) province of Pakistan. A total of 434 tick-infested animals were sampled. Blood samples were collected, processed and then examined initially by microscopy for the presence of Babesia and were later confirmed through PCR by targeting cytochrome b gene, and the PCR products were sequenced. Phylogenetic analysis of sequenced isolates of the current study showed close sequence similarity with the reported strain of China. A non-significant association (p > 0.05) was observed between the prevalence of infections and risk factors. The overall prevalence of infection in all three districts was 10.11%. In district Swat (12.61%), the prevalence was recorded as the highest for B. bovis infection followed by district Mardan (10.60%) and district Kohat (06.90%). The Friesian breed of cattle, females and adult animals were highly susceptible to B. bovis infection. The prevalence of infection was recorded highest during the summer season and lowest during the winter season. This study concludes that B. bovis infection is prevalent in three studied districts of KP province and the sequenced isolates of the current study showed close sequence similarity with the reported strain of China.

Memory type Bayesian adaptive max-EWMA control chart for weibull processes.

The simultaneous monitoring of both the process mean and dispersion has gained considerable attention in statistical process control, especially when the process follows the normal distribution. This paper introduces a novel Bayesian adaptive maximum exponentially weighted moving average (Max-EWMA) control chart, designed to jointly monitor the mean and dispersion of a non-normal process. This is achieved through the utilization of the inverse response function, particularly suitable for processes conforming to a Weibull distribution. To assess the effectiveness of the proposed control chart, we employed the average run length (ARL) and the standard deviation of run length (SDRL). Subsequently, we compared the performance of our proposed control chart with that of an existing Max-EWMA control chart. Our findings suggest that the proposed control chart demonstrates a higher level of sensitivity in detecting out-of-control signals. Finally, to illustrate the effectiveness of our Bayesian Max-EWMA control chart under various Loss Functions (LFs) for a Weibull process, we present a practical case study focusing on the hard-bake process in the semiconductor manufacturing industry. This case study highlights the adaptability of the chart to different scenarios. Our results provide compelling evidence of the exceptional performance of the suggested control chart in rapidly detecting out-of-control signals during the hard-bake process, thereby significantly contributing to the improvement of process monitoring and quality control.

Risk adjusted EWMA control chart based on support vector machine with application to cardiac surgery data.

In the current study, we demonstrate the use of a quality framework to review the process for improving the quality and safety of the patient in the health care department. The researchers paid attention to assessing the performance of the health care service, where the data is usually heterogeneous to patient's health conditions. In our study, the support vector machine (SVM) regression model is used to handle the challenge of adjusting the risk factors attached to the patients. Further, the design of exponentially weighted moving average (EWMA) control charts is proposed based on the residuals obtained through SVM regression model. Analyzing real cardiac surgery patient data, we employed the SVM method to gauge patient condition. The resulting SVM-EWMA chart, fashioned via SVM modeling, revealed superior shift detection capabilities and demonstrated enhanced efficacy compared to the risk-adjusted EWMA control chart.

A redescending M-estimator approach for outlier-resilient modeling.

The OLS model is built on the assumption of normality in the distribution of error terms. However, this assumption can be easily violated, especially when there are outliers in the data. A single outlier can disrupt the normality assumption of error terms, making the OLS model less effective. In such situations, M-estimators (MEs) come into play to obtain reliable estimates. We introduce a redescending M-estimators (RME) for robust regression to handle datasets with outliers. The proposed RME produces more robust estimates by effectively managing the influence of outliers, even at lower values of the tuning constant. We compared the performance of this estimator with existing RMEs using real-life data examples and an extensive simulation study. The results show that our suggested RME is more efficient than the compared ME in various situations.