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In the present study, genetic screening of Sahiwal and Holstein Friesian (HF) cattle and its crosses was conducted using the PCR-RFLP technique to detect the presence of CVM and DUMPS disorders. Genomic DNA was extracted from 50 Sahiwal and 100 HF animals and its crosses using commercially available kits. Gene-specific primers were utilized for in vitro amplification of SLC35A3 and UMPS genes by PCR, followed by RFLP analysis using PstI and AvaI restriction endonucleases for CVM and DUMPS, respectively. Subsequently, the PCR products were purified and sequenced to confirm any mutations in the DNA target sequences. Notably, no affected or carrier animals for CVM and DUMPS disorders were identified among the screened animals. Thus, the gene and genotype frequency of CVM and DUMPS carriers was zero, indicating a 100% frequency of normal animals. The study underscores the importance of continued screening for these genetic disorders, involving a larger sample size across the state, and advocates for mandatory screening before utilizing animals for breeding purposes, in adherence to minimum standard protocols.

Good quality of single droplet image acquisition in imaging flow cytometry (IFC) is crucial for a wide range of biological analyses. Recently, there have been significant advances in droplet microfluidic data analysis; however, acquiring blur-free single object images is still a great challenge because of the tradeoff between high flow rate and hardware setup complexity and cost. State-of-the-art hardware setups for blur-free single image acquisition are often complex, cumbersome, and not portable, limiting their suitability for point-of-care diagnostics. Moreover, motion blur and duplicate droplet image acquisition can occur with flow rate variation. To address these issues, this paper proposes a lightweight imaging pipeline for acquiring blur-free single droplet images for portable applications; this pipeline is capable of acquiring every single droplet image. While most of the existing literature focuses on complex hardware setups, utilizing high frame rate cameras that are not cost effective and complex optical solutions for droplet focusing, our pipeline utilizes minimum hardware and a lightweight algorithm for detecting, counting, and acquiring single object images from the video stream. The proposed pipeline was evaluated experimentally using videos of fast-moving droplets in which the input fluid flow rate was as high as $67.7~\mu $ L/min. The proposed pipeline achieves 100% counting accuracy on the tested videos and 2 ms, 25 ms and 10 ms processing time for each droplet on a desktop PC, single-board computer Raspberry Pi-4, and Nvidia Jetson Nano, respectively. This yields a maximum of 500, 40, and 100 blur free detected droplets per second (DPS), respectively. The Jetson Nano implementation, achieving 100 DPS with processing time of 10 ms, is faster than existing similar studies and fast enough for the target application. The results suggest that the proposed lightweight pipeline is suitable for efficient single object image acquisition in IFC on an embedded portable platform.

Droplet microfluidics enables studying large cell populations in chemical isolation, at a single-cell resolution. Applications include studying cellular response to drugs, cell-to-cell interaction studies. Such applications need a reliable and repeatable droplet generation with high monodispersity. Most systems used in research rely on manual tuning of flow parameters on off-the-shelf instruments. Setups are highly customized, limiting reproduction of experimental results. We propose an integrated, modular system for automated aqueous droplet generation with high monodispersity. The system provides dynamic feedback control of droplet size and input pressure. Input pressure is generated by two piezoelectric micropumps. Droplet sizes are determined via light intensity measurement in an LED-photodiode setup. The system is capable of wireless communication and has a low enough power consumption for battery-powered operation. We report on the assembly and the underlying working principle, as well as an in-depth experimental evaluation of the performance of the proof-of-concept prototype in aqueous droplet generation. Evaluation was performed on a modular as well as on a system level. During module-level evaluations, aqueous droplets were generated in a light mineral oil + Span 80 surfactant carrier medium, using 3 different flow-focusing junction geometries. The presented prototype had a significantly faster pressure stabilization time (10 s) compared to a syringe pump-based reference setup (120 s). During system-level evaluation, deionized water droplets were generated in a carrier medium of HFE7500 + PEG-PFPE triblock surfactant. Resultant droplet sizes were benchmarked with microscopy. The system was able to repeatedly generate mono- and polydisperse droplets on demand, with CVs between 5-10% in the $\sim $ 50- $200 \mu \text{m}$ droplet diameter range.

This study describes the construction of a droplet generation speed compact empirical mathematical model for a flow-focusing microfluidic droplet generator. The application case is a portable, low-cost flow cytometry system for microbiological applications, with water droplet sizes of 50-70 micrometer range and droplet generation rates of 500-1500 per second. In this study, we demonstrate that for the design of reliable microfluidic systems, the availability of an empirical model of droplet generation is a mandatory precondition that cannot be achieved by time-consuming simulations based on detailed physical models. When introducing the concept of a compact empirical model, we refer to a mathematical model that considers general theoretical estimates and describes experimental behavioral trends with a minimal set of easily measurable parameters. By interpreting the experimental results for different water- and oil-phase flow rates, we constructed a minimal 3-parameter droplet generation rate model for every fixed water flow rate by relying on submodels of the water droplet diameter and effective ellipticity. As a result, we obtained a compact model with an estimated 5-10% accuracy for the planned typical application modes. The main novelties of this study are the demonstration of the applicability of the linear approximation model for droplet diameter suppression by the oil flow rate, introduction of an effective ellipticity parameter to describe the droplet form transformation from a bullet-like shape to a spherical shape, and introduction of a machine learning correction function that could be used to fine-tune the model during the real-time operation of the system.

Present study includes the effect of inbreeding on expected genetic gain and estimation of regression with respect to first lactation production, reproduction and lifetime traits in Karan Fries crossbred cattle maintained at ICAR-NDRI, Karnal. Out of total, only 36.97% were found to be inbred with an average inbreeding coefficient 3.68%. Overall least squares mean for reproduction traits (days) AFC, SP, DP and CI were 1020.41 ± 5.49, 141.42± 3.86, 74.54 ± 2.04 and 421.20 ± 3.81 respectively. For production traits (kg) were 305MY, LL, LTMY, FY and SNFY were 3169.15 ± 37.87, 353.25 ± 4.18, 3686.10 ± 55.10, 266.19 ± 4.66 and 127.81 ± 2.26 respectively and lifetime traits like LTMY and stayability were 14588.47 ± 486.09 (kg) and 2444.69 ± 41.26 (days) respectively. Among reproduction traits (days), AFC increased by +3.70, DP +3.66 and CI +68.44 however SP decreased by -0.85 d and production traits (kg), 305MY decreased by -10.2 TMY -16.09, LL -1.23 d, 305FY -1.75, 305SNFY - 0.26, LTMY 202.02 and stayability -17.37 days per unit increase in the inbreeding coefficient. Although there was no inbreeding depression in any of the traits except AFC. The expected genetic gain of AFC increased two folds in IBL2 (Fx >5%) as compared to IBL1 (Fx

The present experiment was conducted at Bull Mother Experimental Farm (BMEF), College of Veterinary Science and Animal Husbandry, Anjora to study the relationship between skin thickness and milk yield of Sahiwal cows. The overall mean skin thickness of neck, dewlap, chest, abdomen, flank, hind quarter, udder and rump was 3.44±0.06, 3.49±0.06, 3.53±0.06, 4.53±0.08, 5.62±0.12, 4.07±0.07, 2.45±0.04 and 6.63±0.17 mm respectively. Analysis of variance showed that that the effect of skin thickness was statistically significant (P

High-throughput microflow cytometry has become a focal point of research in recent years. In particular, droplet microflow cytometry (DMFC) enables the analysis of cells reacting to different stimuli in chemical isolation due to each droplet acting as an isolated microreactor. Furthermore, at high flow rates, the droplets allow massive parallelization, further increasing the throughput of droplets. However, this novel methodology poses unique challenges related to commonly used fluorometry and fluorescent microscopy techniques. We review the optical sensor technology and light sources applicable to DMFC, as well as analyze the challenges and advantages of each option, primarily focusing on electronics. An analysis of low-cost and/or sufficiently compact systems that can be incorporated into portable devices is also presented.

There are 23 descript breeds of goat in India. However there is no recognized breed of goat registered by Chhattisgarh state hence requires systematic study for their characterization. The present study was undertaken to establish the norms of different physical characteristics, reproductive and productive performance traits and haematological profile of local goats of Chhattisgarh plains. Information was collected from Raipur, Durg, Rajnandgaon and Kanker districts of Chhattisgarh plain region. The average measurement for body weight, body length, height, ear length, face length, horn length and tail length for adult male were 31.05±0.49kg, 71.26±0.6, 74.44±0.91, 45.35±0.71, 16.14±0.21, 19.47± 0.18, 15.85±0.43 and 16.05 cm respectively. The corresponding values in adult female were 24.55±0.47 kg, 61.13±0.90, 64.74±0.73, 37.37±0.52, 15.74±0.24, 18.41±0.18, 11.72±0.57, and 14.58±0.22 cm respectively. The mean values for the reproductive performance traits i.e. age at first mating in male, age at first mating in female, age at first kidding and kidding interval were observed as 184±0.05, 216±0.04, 370±0.4 and 184±0.03 days, respectively, and average litter size 1.5. The mean values for the productive performance traits daily milk yield, total lactation milk yield and lactation length were recorded as 307.25±13.16 ml, 32.29±2.65 litres, and 105.75±2.48 days, respectively. Different haematological parameters such as haemoglobin, packed cell volume, total erythrocytes count, total leukocytes count, mean corpuscular haemoglobin, mean corpuscular volume and mean corpuscular haemoglobin concentration were considered and value estimated as 9.35±0.20 (g%), 28.9±0.66 (%), 8.45+0.17 (million/μl), 9,660±256.33 (thousand/μl), 9.1± 0.22 (pg), 27.79±0.0 (fl), and 32.39±0.27(%) respectively. Hence this study was aimed to phenotypically characterize the local goat in view of establishing a database for the breed and undertaking conservation programme for preserving rich indigenous genetic resources biodiversity.