• Journal of Veterinary Clinics
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• v.37 no.6
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• pp.297-300
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• 2020

Lameness is a variation of normal gait in an animal, and it means that one or more limbs cannot be used correctly to allow the animal to walk. In the usual context, the incidence of hindlimb lameness in dogs is most likely the result of trauma, joint diseases, and/or congenital diseases. Generally speaking, the factors influencing hindlimb lameness include the animal's specific breed, size, weight, and whether it engages in frequent or strenuous activities. Many studies have investigated the incidence of lameness of large breed dogs, as compared to small breed dogs. Considering that many domestic dogs are small breeds, the lameness of small breed dogs with a high population in Korea was evaluated. The major causes of hindlimb lameness were found to be joint, musculoskeletal, and neurological abnormalities and the most were identified as joint diseases. Among the joint diseases, it was noted that a patellar luxation was the most common, of which the grade 3 medial patellar luxation was the highest rated type of joint disease noted.

• Animal Bioscience
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• v.35 no.7
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• pp.949-954
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• 2022

Objective: The present study is aimed at phenotypic characterization and mitochondrial d-loop analysis of indigenous "Diara" buffalo population, which are mostly confined to the villages on the South and North Gangetic marshy plains in the Bihar state of India. These buffaloes are well adapted and are best suited for ploughing and puddling the wet fields meant for paddy cultivation. Methods: Biometric data on 172 buffaloes were collected using a standard flexible tape measure. Animals are medium in size; the typical morphometric features are long head with a broad forehead and moderately long and erect ears. Genomic DNA was isolated from unrelated animals. The mtDNA d-loop 358-bp sequence data was generated and compared with 338 sequences belonging to riverine and swamp buffaloes. Results: Based on the mitochondrial d-loop analysis the Diara buffaloes were grouped along with the haplotypes reported for riverine buffalo. Sequence analysis revealed the presence of 7 mitochondrial D loop haplotypes with haplotype diversity of 0.9643. Five of the haplotypes were shared with established swamp breeds and with Buffalo population of Orissa in India. Conclusion: Morphometric analyses clearly shows distinguishing features like long and broad forehead which may be useful in identification. The germplasm of Diara buffalo is much adapted to the marshy banks of river Ganga and its tributaries. It constitutes a valuable genetic resource which needs to be conserved on priority basis.

• Food Science of Animal Resources
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• v.42 no.1
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• pp.111-127
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• 2022

This study examined how chicken breed affects consumer behavior. The breeds evaluated were a Korean native chicken (KNC) and a commercial broiler (CB). Consumer behavior was measured by evaluating sensory attributes (taste, odor, and texture) and purchase behaviors [satisfaction, purchase intention, and willingness to pay (WTP)]. The sensory evaluation was conducted using healthy Korean consumers (n=100). The chicken was cooked in baeksuk (Korean traditional chicken soup), which is a seasonal summer health food in Korea. The participants evaluated sensory attributes and purchase behaviors between blinded samples of baeksuk (CB) and unblinded samples of baeksuk (KNC). The sensory evaluation involved chicken breasts and legs. The participants considered KNC as having a more umami taste, a chewier and juicer texture, and a less metallic odor than CB. Moreover, when participants were given KNC breed information, they expressed higher satisfaction, purchase intention, and WTP. The results of this study contribute to consumer behavior literature by revealing the effects of breed information on consumer sensory perceptions and purchase behaviors. Furthermore, the findings provide evidence that branding KNC is one way to increase its demand and low market share while contributing to sustainable consumption.

• Animal Bioscience
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• v.35 no.11
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• pp.1635-1648
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• 2022

Thermal stress due to extreme changes in the thermal environment is a critical issue in cattle production. Many previous findings have shown a decrease in feed intake, milk yield, growth rate, and reproductive efficiency of cattle when subjected to thermal stress. Therefore, selecting thermo-tolerant animals is the primary goal of the efficiency of breeding programs to reduce those adverse impacts. The recent advances in molecular genetics have provided significant breeding advantages that allow the identification of molecular markers in both beef and dairy cattle breeding, including marker-assisted selection (MAS) as a tool in selecting superior thermo-tolerant animals. Single-nucleotide polymorphisms (SNPs), which can be detected by DNA sequencing, are desirable DNA markers for MAS due to their abundance in the genome's coding and non-coding regions. Many SNPs in some genes (e.g., HSP70, HSP90, HSF1, EIF2AK4, HSBP1, HSPB8, HSPB7, MYO1A, and ATP1A1) in various breeds of cattle have been analyzed to play key roles in many cellular activities during thermal stress and protecting cells against stress, making them potential candidate genes for molecular markers of thermotolerance. This review highlights the associations of SNPs within these genes with thermotolerance traits (e.g., blood biochemistry and physiological responses) and suggests their potential use as MAS in thermotolerant cattle breeding.

• Journal of Animal Science and Technology
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• v.64 no.1
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• pp.155-165
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• 2022

As pork consumption increases, rapid and accurate determination of porcine carcass grades at abattoirs has become important. Non-destructive, automated inspection methods have improved slaughter efficiency in abattoirs. Furthermore, the development of a calibration equation suitable for non-destructive inspection of domestic pig breeds may lead to rapid determination of pig carcass and more objective pork grading judgement. In order to increase the efficiency of pig slaughter, the correct estimation of the automated-method that can accommodate the existing pig carcass judgement should be made. In this study, the previously developed calibration equation was verified to confirm whether the estimated traits accord with the actual measured traits of pig carcass. A total of 1,069,019 pigs, to which the developed calibration equation, was applied were used in the study and the optimal estimated regression equation for actual measured two traits (backfat thickness and hot carcass weight) was proposed using the estimated traits. The accuracy of backfat thickness and hot carcass weight traits in the estimated regression models through stepwise regression analysis was 0.840 (R²) and 0.980 (R²), respectively. By comparing the actually measured traits with the estimated traits, we proposed optimal estimated regression equation for the two measured traits, which we expect will be a cornerstone for the Korean porcine carcass grading system.

• Journal of Veterinary Clinics
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• v.39 no.6
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• pp.287-293
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• 2022

Radiographic left atrial dimension (RLAD) is a useful measurement to assess left atrial enlargement in dogs. There are studies on the use of RLAD on various breeds of dogs, but no study on a specific breed with myxomatous mitral valve disease (MMVD). This study was conducted to compare RLAD measurements in Maltese dogs with MMVD ACVIM stage B1 and B2, and also to investigate the correlation of RLAD with the LA:Ao ratio. A total of 29 Maltese dogs were the subjects of this study. Each dog was diagnosed with MMVD ACVIM stage B1 or B2 based on physical examination, thoracic radiography, and echocardiography. The vertebral heart size (VHS), RLAD, LVIDDn, and LA:Ao ratio were measured and compared to evaluate the differences. There were significant differences in the RLAD, LVIDDn, and LA:Ao ratio between dogs with MMVD ACVIM stage B1 and those with stage B2. There was a significant correlation between the LA:Ao ratio and both the RLAD and VHS measurements, but the correlation coefficient was higher for RLAD. The RLAD scores exhibited a significant difference between dogs with ACVIM Stage B1 and with those with B2, and these scores had a higher correlation with the LA:Ao ratio measured by echocardiography than with VHS.

• Journal of Environmental Science International
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• v.31 no.2
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• pp.131-139
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• 2022

This study aimed to evaluate the effects of four types of environmental enrichment on the improvement of companion dogs' behavioral problems due to separation anxiety. A total of 21 dogs of various breeds were included in the study. Data were collected to investigate the behaviors associated with anxiety in dogs, including vocalization, elimination, escape attempts, and destructiveness. A first stage, in which the dog and owner were together (P0), lasted 15 min, and a second stage, in which the dog and owner were separated (P1), lasted 15 min. After the dog and owner were separated (P1), the third stage (P2), during which the environment was enriched, lasted 20 min, and the fourth stage, following environment enrichment (P3), lasted 15 min. The results of the study indicated that compared to P0, the frequency of problematic behavior was highest during the 15 min following separation from the owner (P1). Following environmental enrichment, the average frequency of problematic behaviors in P2 decreased (P < 0.001) compared to P1. Environmental enrichment can also be used appropriately in the case of companion dogs, including shelter dogs or experimental dogs that use a limited kennel, and is a particularly effective means of improving the quality of life of dogs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.141-143
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• 2021

The Activity patterns of animal species are difficult to access and the behavior of freely moving individuals can not be assessed by direct observation. As it has become large challenge to understand the activity pattern of animals such as dogs, and cats etc. One approach for monitoring these behaviors is the continuous collection of data by human observers. Therefore, in this study we assess the activity patterns of dog using the wearable sensors data such as accelerometer and gyroscope. A wearable, sensor -based system is suitable for such ends, and it will be able to monitor the dogs in real-time. The basic purpose of this study was to develop a system that can detect the activities based on the accelerometer and gyroscope signals. Therefore, we purpose a method which is based on the data collected from 10 dogs, including different nine breeds of different sizes and ages, and both genders. We applied six different state-of-the-art classifiers such as Random forests (RF), Support vector machine (SVM), Gradient boosting machine (GBM), XGBoost, k-nearest neighbors (KNN), and Decision tree classifier, respectively. The Random Forest showed a good classification result. We achieved an accuracy 86.73% while the detecting the activity.

• Animal Bioscience
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• v.37 no.5
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• pp.807-816
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• 2024

Objective: This study aims to identify the significant regions and candidate genes of growth-related traits (adjusted backfat thickness [ABF], average daily gain [ADG], and days to 90 kg [DAYS90]) in Korean commercial GGP pig (Duroc, Landrace, and Yorkshire) populations. Methods: A genome-wide association study (GWAS) was performed using single-nucleotide polymorphism (SNP) markers for imputation to Illumina PorcineSNP60. The BayesB method was applied to calculate thresholds for the significance of SNP markers. The identified windows were considered significant if they explained ≥1% genetic variance. Results: A total of 28 window regions were related to genetic growth effects. Bayesian GWAS revealed 28 significant genetic regions including 52 informative SNPs associated with growth traits (ABF, ADG, DAYS90) in Duroc, Landrace, and Yorkshire pigs, with genetic variance ranging from 1.00% to 5.46%. Additionally, 14 candidate genes with previous functional validation were identified for these traits. Conclusion: The identified SNPs within these regions hold potential value for future marker-assisted or genomic selection in pig breeding programs. Consequently, they contribute to an improved understanding of genetic architecture and our ability to genetically enhance pigs. SNPs within the identified regions could prove valuable for future marker-assisted or genomic selection in pig breeding programs.