• Title/Summary/Keyword: animal statistics

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Data analysis for improving population management in animal shelters in Seoul

  • Cho, Yoon Ju;Lee, Young-Ah;Hwang, Bo Ram;Kim, Hyung Joon;Han, Jin Soo
    • Korean Journal of Veterinary Research
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    • v.55 no.2
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    • pp.125-131
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    • 2015
  • A total of 11,395 animals were impounded in shelters in Seoul in 2013. The Animal Protection Division of the Seoul metropolitan government has annual contracts with local veterinary associations as well as Korean animal rescue and management organizations for providing shelter to animals, and collects monthly statistics from these groups. In 2013, the collected intake and outcome data for 25 districts were reviewed to analyze shelter capacity in terms of housing capacity (monthly daily average intake, required holding capacity, and adoption-driven capacity), staff capacity (staff hours required for daily care), and live release rate. Seasonal variations in the monthly daily average intake were observed, indicating that management of these shelters requires various strategies. This study was performed to analyze and interpret meaningful statistics for improving the efficiency of animal shelters in Seoul. However, inconsistent collection of animal statistics limited data compilation. Creation of a basic animal statistics matrix with reference to well-designed matrices from recognized professional animal shelters is essential. These complied statistical data will help plan for future animal shelter needs in Seoul.

Jeju Animal Shelter abandoned animals status and actual condition analysis (제주동물보호소 유기동물 현황 및 실태분석)

  • Oh, Myoungoon;Ko, Kyoung Bo;Cho, Seong Cheol;Ko, Jin-A;Ryu, YounChul
    • Korean Journal of Veterinary Service
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    • v.44 no.4
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    • pp.175-183
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    • 2021
  • This study investigated the status and analyzed of stray dogs, stray cats admitted to the Jeju Animal Shelter during the year of 2015 to 2019, and the infection rates of specific diseases for abandoned dogs. In addition, in 2017 to 2019, the collected intake and outcome data were reviewed to analyze shelter capacity in terms of housing capacity (monthly daily average intake, required holding capacity, and adoption-driven capacity), staff capacity (staff hours required for daily care). Out of 24,557 dogs admitted to the shelter, owners of 1,808 dogs (7.4%) visited the shelter and found their lost dogs, while 3,612 dogs (14.7%) were adopted to new families. However, the number of puppies that were euthanized was the highest at 12,266 (49.9%), and 6,876 (28%) died either death from disease or natural causes because they were detained in shelters. The monthly daily average (MDA), which is one of the indicators for efficient population management of Jeju Animal Shelter, was found to be 17.4 for abandoned dogs and 1.7 for abandoned cats. Seasonal variations were observed for MDA, RHC, MDA adoptions, ADC, and RSDC, indicating that various strategies are needed for shelter management. This study was performed to analyze and interpret meaningful statistics for improving the efficiency of animal shelters in Jeju. However, inconsistent collection of animal statistics limited data compilation. Creation of a basic animal statistics matrix with reference to well-designed matrices from recognized professional animal shelters is essential.

Estimation of Genetic Parameters for Economic Traits in Korean Native Chickens

  • Sang, Byung Don;Kong, Hong Sik;Kim, Hak Kyu;Choi, Chul Hwan;Kim, Si Dong;Cho, Yong Min;Sang, Byung Chan;Lee, Jun Heon;Jeon, Gwang Joo;Lee, Hak Kyo
    • Asian-Australasian Journal of Animal Sciences
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    • v.19 no.3
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    • pp.319-323
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    • 2006
  • Heritabilities and genetic correlations of economic traits were estimated with a multiple-trait animal model on 5 different strains of Korea Native Chickens (KNC): Red Brown (RB), Yellow Brown (YB), Gray Brown (GB), Black (B) and White (W). The data used for this study were collected from the Daejeon branch of the National Livestock Research Institute and included 11,233 performance records and 12,729 individual animals. DFREML and SAS BASE/STAT packages were used to estimate genetic parameters and descriptive statistics. The estimated heritabilities for strain RB, YB, GB, B and W, respectively, for age at 1st egg were 0.24, 0.27, 0.12, 0.32 and 0.18; for body weight at first egg were 0.39, 0.43, 0.38, 0.52 and 0.57; for body weight at age of 270 days were 0.43, 0.51, 0.30, 0.52 and 0.67; for egg weight at first egg were 0.08, 0.13, 0.07, 0.06 and 0.07; for egg weight at age of 270 days were 0.37, 0.43, 0.22, 0.34 and 0.41; and for number of eggs laid by age of 270 days were 0.24, 0.25, 0.37, 0.36 and 0.30. The genetic and phenotypic correlations were also estimated.

Hanwoo(Korean Cattle) Traceability Using DNA Markers

  • Yeo, Jung-Sou;Rhee, Sung-Won;Choi, Yu-Mi;Kwon, Jae-Chul;Lee, Jea-Young
    • Communications for Statistical Applications and Methods
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    • v.13 no.3
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    • pp.733-743
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    • 2006
  • To apply and evaluate the effectiveness of genetic markers on Hanwoo traceability systems, samples of 33 Hanwoo individuals from Korean elite sire families were used, and five microsatellite markers were selected finally, which were located on chromosomes different chromosomes with the end sequencing of 100 HW-YUBAC that were recorded in the NCBI by Yeungnam University. Ten major microsatellite markers were selected from alleles amplified, their frequencies, H(Heterozygosity) and PIC(Polymorphism information content) with Hardy-Weinberg equilibrium. Next, in order to evaluate the power of the markers selected on the individual animal identification, the match probability(MP) and the relatedness coefficient(R) were computed.

Construction of DNA marker for traceability in Hanwoo

  • Kwon, Jae-Chul;Choi, Yu-Mi;Rhee, Sung-Won;Yeo, Jung-Sou;Lee, Jea-Young
    • 한국데이터정보과학회:학술대회논문집
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    • 2006.04a
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    • pp.213-219
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    • 2006
  • Considering all the factors involved in beef production individual identification using DNA marker testing is the most appropriate solution to give all the breeders' information to the consumers. After taking into account the genealogical information from the Hanwoo, only animals that did not share some parent or grandparent were analysed 33 from the 305 initially sampled. Ten major microsatellite markers were selected from allele amplified and their frequencies, H(Heterozygosity) and PIC(Polymorphism information content) with Hardy-Weinberg equilibrium. Next, in order to evaluate the power of the markers selected on the individual animal identification, the match probability(MP) and the relatedness coefficient(R) were computed.

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Hanwoo individual identification with DNA marker information

  • Lee, Jea-Young;Choi, Yu-Mi
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.3
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    • pp.599-608
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    • 2007
  • This study was conducted to establish an individual identification system in Hanwoo cattle. Samples of 33 Hanwoo individuals from Korean elite sire families were used. Thirteen major microsatellite markers were selected from alleles amplified, their frequencies, H(Heterozygosity) and PIC(Polymorphism Information Content) with Hardy-Weinberg equilibrium. Next, in order to evaluate the power of the markers selected on the individual animal identification, MP(Match probability) and R(Relatedness coefficient) with the percentage of animal incorrectly identified were computed. Finally nine microsatellite markers were selected and discussed.

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Genomic Selection for Adjacent Genetic Markers of Yorkshire Pigs Using Regularized Regression Approaches

  • Park, Minsu;Kim, Tae-Hun;Cho, Eun-Seok;Kim, Heebal;Oh, Hee-Seok
    • Asian-Australasian Journal of Animal Sciences
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    • v.27 no.12
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    • pp.1678-1683
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    • 2014
  • This study considers a problem of genomic selection (GS) for adjacent genetic markers of Yorkshire pigs which are typically correlated. The GS has been widely used to efficiently estimate target variables such as molecular breeding values using markers across the entire genome. Recently, GS has been applied to animals as well as plants, especially to pigs. For efficient selection of variables with specific traits in pig breeding, it is required that any such variable selection retains some properties: i) it produces a simple model by identifying insignificant variables; ii) it improves the accuracy of the prediction of future data; and iii) it is feasible to handle high-dimensional data in which the number of variables is larger than the number of observations. In this paper, we applied several variable selection methods including least absolute shrinkage and selection operator (LASSO), fused LASSO and elastic net to data with 47K single nucleotide polymorphisms and litter size for 519 observed sows. Based on experiments, we observed that the fused LASSO outperforms other approaches.

Multilocus Genotyping to Study Population Structure in Three Buffalo Populations of India

  • Tantia, M.S.;Vijh, R.K.;Mishra, Bina;Kumar, S.T. Bharani;Arora, Reena
    • Asian-Australasian Journal of Animal Sciences
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    • v.19 no.8
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    • pp.1071-1078
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    • 2006
  • Three buffalo populations viz. Bhadawari, Tarai and local buffaloes of Kerala were genotyped using 24 heterologous polymorphic microsatellite loci. A total of 140 alleles were observed with an average observed heterozygosity of 0.63. All the loci were neutral and 18 out of the 24 loci were in Hardy Weinberg Equilibrium. The $F_{IS}$ values (estimate of inbreeding) for 16 loci in all the three populations were negative. This indicated lack of population structure in the three populations. The effective number of immigrants was 5.88 per generation between the Tarai and Bhadawari populations which was quite high suggesting substantial gene flow. The genetic distances revealed closeness between the Tarai and Bhadawari populations which was expected from geographical contiguity. The FST values were not significantly different from zero showing no population differentiation. The Correspondence Analysis based on the allelic frequency data clustered the majority of the Tarai and Bhadawari individuals as an admixture.

Bayesian Analysis of Multivariate Threshold Animal Models Using Gibbs Sampling

  • Lee, Seung-Chun;Lee, Deukhwan
    • Journal of the Korean Statistical Society
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    • v.31 no.2
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    • pp.177-198
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    • 2002
  • The estimation of variance components or variance ratios in linear model is an important issue in plant or animal breeding fields, and various estimation methods have been devised to estimate variance components or variance ratios. However, many traits of economic importance in those fields are observed as dichotomous or polychotomous outcomes. The usual estimation methods might not be appropriate for these cases. Recently threshold linear model is considered as an important tool to analyze discrete traits specially in animal breeding field. In this note, we consider a hierarchical Bayesian method for the threshold animal model. Gibbs sampler for making full Bayesian inferences about random effects as well as fixed effects is described to analyze jointly discrete traits and continuous traits. Numerical example of the model with two discrete ordered categorical traits, calving ease of calves from born by heifer and calving ease of calf from born by cow, and one normally distributed trait, birth weight, is provided.