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  • 1
    In: Pediatrics & Therapeutics, OMICS Publishing Group, Vol. 07, No. 03 ( 2017)
    Type of Medium: Online Resource
    ISSN: 2161-0665
    Language: Unknown
    Publisher: OMICS Publishing Group
    Publication Date: 2017
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  • 2
    In: Animal Biotechnology, Informa UK Limited, Vol. 33, No. 6 ( 2022-11-18), p. 1065-1072
    Type of Medium: Online Resource
    ISSN: 1049-5398 , 1532-2378
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2043243-4
    detail.hit.zdb_id: 1071461-3
    SSG: 12
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  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2023
    In:  Journal of Animal Science Vol. 101, No. Supplement_3 ( 2023-11-06), p. 350-351
    In: Journal of Animal Science, Oxford University Press (OUP), Vol. 101, No. Supplement_3 ( 2023-11-06), p. 350-351
    Abstract: Mink is an important fur animal species; however, little is known about the genomics of complex traits in mink. The development of single nucleotide polymorphism (SNP) array has accelerated genomics application in animal breeding by facilitating genotyping and associated analyses. The current project aimed to design a medium-density SNP array in American mink for genomic studies and selection in this species. For this purpose, whole genome sequence with 30x coverage was generated for 100 individuals from the Canadian Centre for Fur Animal Research (CCFAR) at the Dalhousie Faculty of Agriculture (Truro, NS, Canada) and Millbank Fur Farm (Rockwood, ON, Canada). Variant calling was done using Samtools and GATK pipelines. A total of 8,373,854 bi-allelic SNPs identified by both pipelines were used for an initial selection of 91K SNPs for submission to the Affymetrix scoring system. After filtering, 62,375 SNPs were selected for probe design and production of an Axiom Mink Genotyping Array 70K. This 70K SNP array was used to genotype 2,973 mink for validation. After quality control of genotypes, 47,159 SNPs were classified as high-resolution SNPs, and among them 24,237 were polymorphic. A preliminary genome-wide association study of 1,356 mink for body length at harvest identified a SNP (AX-647623051) significantly associated (P & lt; 1.26 × 10-5) with the trait. In conclusion, this 70K mink SNP array could be used for genomic studies and potentially as a starting point for genomic selection programs in American mink.
    Type of Medium: Online Resource
    ISSN: 0021-8812 , 1525-3163
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 390959-1
    detail.hit.zdb_id: 1490550-4
    SSG: 12
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  • 4
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2015
    In:  Journal of Animal Science Vol. 93, No. 5 ( 2015-05-01), p. 2056-2063
    In: Journal of Animal Science, Oxford University Press (OUP), Vol. 93, No. 5 ( 2015-05-01), p. 2056-2063
    Type of Medium: Online Resource
    ISSN: 0021-8812 , 1525-3163
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2015
    detail.hit.zdb_id: 390959-1
    detail.hit.zdb_id: 1490550-4
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2020
    In:  Journal of Animal Science Vol. 98, No. Supplement_4 ( 2020-11-30), p. 347-347
    In: Journal of Animal Science, Oxford University Press (OUP), Vol. 98, No. Supplement_4 ( 2020-11-30), p. 347-347
    Abstract: Feed cost is the major input cost in the mink industry and thus improvement of feed efficiency through selection for high feed efficient mink is necessary for the mink farmers. The objective of this study was to estimate the heritability, phenotypic and genetic correlations for different feed efficiency measures, including final body weight (FBW), daily feed intake (DFI), average daily gain (ADG), feed conversion ratio (FCR) and residual feed intake (RFI). For this purpose, 1,088 American mink from the Canadian Center for Fur Animal Research at Dalhousie Faculty of Agriculture were recorded for daily feed intake and body weight from August 1 to November 14 in 2018 and 2019. The univariate models were used to test the significance of sex, birth year and color as fixed effects, and dam as a random effect. Genetic parameters were estimated via bivariate models using ASReml-R version 4. Estimates of heritabilities (±SE) were 0.41±0.10, 0.37±0.11, 0.33±0.14, 0.24±0.09 and 0.22±0.09 for FBW, DFI, ADG, FCR and RFI, respectively. The genetic correlation (±SE) was moderate to high between FCR and RFI (0.68±0.15) and between FCR and ADG (-0.86±0.06). In addition, RFI had low non-significant (P & gt; 0.05) genetic correlations with ADG (0.04 ± 0.26) and BW (0.16 ± 0.24) but significant (P & lt; 0.05) high genetic correlation with DFI (0.74 ± 0.11) indicating that selection for lower RFI will reduce feed intake without adverse effects on the animal size and growth rate. The results suggested that RFI can be implemented in genetic/genomic selection programs to reduce feed intake in the mink production system.
    Type of Medium: Online Resource
    ISSN: 0021-8812 , 1525-3163
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 390959-1
    detail.hit.zdb_id: 1490550-4
    SSG: 12
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  • 6
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2023
    In:  Journal of Animal Science Vol. 101, No. Supplement_3 ( 2023-11-06), p. 351-352
    In: Journal of Animal Science, Oxford University Press (OUP), Vol. 101, No. Supplement_3 ( 2023-11-06), p. 351-352
    Abstract: The genome-wide analysis of runs of homozygosity (ROH) islands can be an effective strategy to detect the variants shared among the individuals of a population, and thereby to reveal important genomic regions for complex traits. The current study performed ROH analysis to characterize the genome-wide patterns of homozygosity, ROH islands, and the gene content of those candidate regions using whole-genome sequencing data of 100 American mink (Neogale vison). After sequence processing, variants were called using GATK and Samtools pipelines. After quality control, 8,373,854 bi-allelic variants identified by both pipelines remained for subsequent analysis. A total of 34,652 ROH segments were identified in all individuals, among which shorter segments (0.3–1 Mb) were abundant throughout the genome, approximately accounting for 84.39% of all ROH. We identified 63 ROH islands that harbored 156 annotated genes. The genes located in ROH islands were associated with fur quality (EDNRA, FGF2, FOXA2, SLC24A4, SLC24A3, PDE5A), body size/body weight (MYLK4, PRIM2, FABP2, BBS7, EYS, PHF3), immune capacity (IL2, PTP4A1, SEMA4C, CD274, JAK2, MAD2L1, CCNA2, TNIP3), and reproduction (ADAD1, KHDRBS2, INSL6, PGRMC2, LARP1B, HSPA4L, CAMK2D). Furthermore, Gene Ontology and KEGG pathway enrichment analyses revealed multiple significant terms (P ≤ 0.05), among which cGMP-PKG signaling pathway, regulation of actin cytoskeleton, and calcium signaling pathway were highlighted due to their functional roles in growth and fur characteristics. This is the first study to present ROH islands in American mink. The candidate genes from ROH islands and functional enrichment analysis suggest possible signatures of selection in response to the mink breeding targets, such as increased body length, reproductive performance and fur quality. These findings contribute to an understanding of genetic characteristics, and provide complementary information to assist with implementation of breeding strategies for genetic improvement in American mink.
    Type of Medium: Online Resource
    ISSN: 0021-8812 , 1525-3163
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 390959-1
    detail.hit.zdb_id: 1490550-4
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2020
    In:  Journal of Animal Science Vol. 98, No. Supplement_4 ( 2020-11-30), p. 17-18
    In: Journal of Animal Science, Oxford University Press (OUP), Vol. 98, No. Supplement_4 ( 2020-11-30), p. 17-18
    Abstract: Aleutian disease brings tremendous financial losses to the mink industry. The ineffective immunoprophylaxis, medication, and culling strategies have urged the mink industry to select mink with low quantitative enzyme-linked immunosorbent assay (qELISA) score or negative counterimmunoelectrophoresis (CIEP) test result. However, little is known about the heritabilities of qELISA and CEIP as well as their relationships with growth and pelt quality traits. The traits, including qELISA, CIEP, body length at harvest (HLEN), the size of dried pelt (SIZE), the overall quality of dried pelt (QUA), and the nap length of dried pelt (NAP), were measured on 1,683 American mink from the Canadian Center for Fur Animal Research (Nova Scotia, Canada) and Millbank Fur Farm (Ontario, Canada). Significance (P & lt; 0.05) of fixed effects (sex, farm, age, and color) and random effects (common litter, permanent environment, and dam) were determined by univariate analyses, while genetic and phenotypic parameters for all traits were estimated under bivariate analyses using ASREML 4.1. Estimated heritabilities (±SE) were 0.41±0.07 for qELISA, 0.06±0.06 for CIEP, 0.39±0.06 for HLEN, 0.46±0.07 for SIZE, 0.25±0.06 for QUA, and 0.46±0.08 for NAP. The qELISA showed non-significant (P & gt; 0.05) genetic correlations with HLEN (0.05±0.13) and dried pelt traits (0.02±0.18 with SIZE, -0.21±0.20 with QUA, and -0.13±0.16 with NAP). The CIEP only showed a significant (P & lt; 0.05) negative genetic correlation with SIZE (-0.85±0.33). The moderate-to-high heritabilities of qELISA, HLEN, SIZE, QUA, and NAP indicated that these traits can be genetically improved through a genetic/genomic selection. The low and non-significant heritability of CIEP indicated the ineffectiveness of direct selection for this trait. The estimated genetic parameters for qELISA suggested that selection for lower qELISA scores may not interfere with the selection of pelt size and quality in the genetic improvement programs of American mink.
    Type of Medium: Online Resource
    ISSN: 0021-8812 , 1525-3163
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 390959-1
    detail.hit.zdb_id: 1490550-4
    SSG: 12
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  • 8
    In: Journal of Animal Science, Oxford University Press (OUP), Vol. 99, No. 8 ( 2021-08-01)
    Abstract: Aleutian disease (AD), caused by the Aleutian mink disease virus (AMDV), is a major health concern that results in global economic losses to the mink industry. The unsatisfactory outcome of the culling strategy, immunoprophylaxis, and medical treatment in controlling AD have urged mink farmers to select AD resilient mink based on several detection tests, including enzyme-linked immunosorbent assay (ELISA), counterimmunoelectrophoresis (CIEP), and iodine agglutination test (IAT). However, the genetic analysis of these AD tests and their correlations with pelt quality, reproductive performance, packed-cell volume (PCV), and harvest length (HL) have not been investigated. In this study, data on 5,824 mink were used to estimate the genetic and phenotypic parameters of four AD tests, including two systems of ELISA, CIEP, and IAT, and their genetic and phenotypic correlations with two pelt quality, five female reproductive performance, PCV, and HL traits. Significances (P & lt; 0.05) of fixed effects (sex, year, dam age, and color type), covariates (age at harvest and blood sampling), and random effects (additive genetic, permanent environmental, and maternal effects) were determined under univariate models using ASReml 4.1 software. The genetic and phenotypic parameters for all traits were estimated under bivariate models using ASReml 4.1 software. Estimated heritabilities (±SE) were 0.39 ± 0.06, 0.61 ± 0.07, 0.11 ± 0.07, and 0.26 ± 0.05 for AMDV antigen-based ELISA (ELISA-G), AMDV capsid protein-based ELISA, CIEP, and IAT, respectively. The ELISA-G also showed a moderate repeatability (0.58 ± 0.04) and had significant negative genetic correlations (±SE) with reproductive performance traits (from −0.41 ± 0.16 to −0.49 ± 0.12), PCV (−0.53 ± 0.09), and HL (−0.45 ± 0.16). These results indicated that ELISA-G had the potential to be applied as an indicator trait for genetic selection of AD resilient mink in AD endemic ranches and therefore help mink farmers to reduce the adverse effects caused by AD.
    Type of Medium: Online Resource
    ISSN: 0021-8812 , 1525-3163
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 390959-1
    detail.hit.zdb_id: 1490550-4
    SSG: 12
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  • 9
    In: Animals, MDPI AG, Vol. 12, No. 22 ( 2022-11-17), p. 3184-
    Abstract: Understanding the genetics of fur characteristics and skin size is important for developing effective breeding programs in the mink industry. Therefore, the objectives of this study were to estimate the genetic and phenotypic parameters for pelt quality traits including live grading overall quality (LQU), live grading nap size (LNAP), dried pelt size (DPS), dried pelt nap size (DNAP) and overall quality of dried pelt (DQU), and body length and weight traits, including November body weight (Nov_BW), November body length (Nov_BL), harvest weight (HW) and harvest length (HL) in American mink. Dried pelt quality traits on 1195 mink and pelt quality traits on live animals on 1680 were collected from mink raised at two farms, in Nova Scotia and Ontario. A series of univariate analyses were implemented in ASReml 4.1 software to identify the significance (p 〈 0.05) of random effects (maternal genetic effects, and common litter effects) and fixed effects (farm, sex, color type, year, and age) for each trait. Subsequently, bivariate models were used to estimate the genetic and phenotypic parameters using ASReml 4.1. Heritability (±SE) estimates were 0.41 ± 0.06 for DPS, 0.23 ± 0.10 for DNAP, 0.12 ± 0.04 for DQU, 0.28 ± 0.06 for LQU, 0.44 ± 0.07 for LNAP, 0.29 ± 0.10 for Nov_BW, 0.28 ± 0.09 for Nov_BL, 0.41 ± 0.07 for HW and 0.31 ± 0.06 for HL. DPS had high positive genetic correlations (±SE) with Nov_BW (0.89 ± 0.10), Nov_BL (0.81 ± 0.07), HW (0.85 ± 0.05) and HL (0.85 ± 0.06). These results suggested that body weight and length measured on live animals in November of the first year were reliable indicators of dried pelt size. DQU had favorable genetic correlations with Nov_BL (0.55 ± 0.24) and HL (0.46 ± 0.20), and nonsignificant genetic correlations with DNAP (0.13 ± 0.25), Nov_BW (0.25 ± 0.25) and HW (0.06 ± 0.20), which made body length traits an appealing trait for selection for increased pelt size. High positive genetic correlation (±SE) was observed between LNAP and DNAP (0.82 ± 0.22), which revealed that nap size measurement on live animals is a reliable indicator trait for dried pelt nap size. However, nonsignificant (p 〉 0.05) low genetic correlation (±SE) was obtained between LQU and DQU (0.08 ± 0.45), showing that indirect selection based on live grading might not lead to the satisfactory improvement of dried pelt overall quality. The estimated genetic parameters for live grading, dried pelt quality, and body weight and body length traits may be incorporated into breeding programs to improve fur characteristics in Canadian mink populations.
    Type of Medium: Online Resource
    ISSN: 2076-2615
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2606558-7
    SSG: 23
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  • 10
    Online Resource
    Online Resource
    MDPI AG ; 2020
    In:  Animals Vol. 10, No. 9 ( 2020-09-22), p. 1717-
    In: Animals, MDPI AG, Vol. 10, No. 9 ( 2020-09-22), p. 1717-
    Abstract: Disease is a global problem for animal farming industries causing tremendous economic losses ( 〉 USD 220 billion over the last decade) and serious animal welfare issues. The limitations and deficiencies of current non-selection disease control methods (e.g., vaccination, treatment, eradication strategy, genome editing, and probiotics) make it difficult to effectively, economically, and permanently eliminate the adverse influences of disease in the farm animals. These limitations and deficiencies drive animal breeders to be more concerned and committed to dealing with health problems in farm animals by selecting animals with favorable health traits. Both genetic selection and genomic selection contribute to improving the health of farm animals by selecting certain health traits (e.g., disease tolerance, disease resistance, and immune response), although both of them face some challenges. The objective of this review was to comprehensively review the potential of selecting health traits in coping with issues caused by diseases in farm animals. Within this review, we highlighted that selecting health traits can be applied as a method of disease control to help animal agriculture industries to cope with the adverse influences caused by diseases in farm animals. Certainly, the genetic/genomic selection solution cannot solve all the disease problems in farm animals. Therefore, management, vaccination, culling, medical treatment, and other measures must accompany selection solution to reduce the adverse impact of farm animal diseases on profitability and animal welfare.
    Type of Medium: Online Resource
    ISSN: 2076-2615
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2606558-7
    SSG: 23
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