Genetic and Phenotypic Parameters for Pelt Quality and Body Length and Weight Traits in American Mink.

American mink body size genetic parameters heritability pelt quality

Journal

Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614

Informations de publication

Date de publication:
17 Nov 2022
Historique:
received: 11 10 2022
revised: 03 11 2022
accepted: 14 11 2022
entrez: 26 11 2022
pubmed: 27 11 2022
medline: 27 11 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 36428411
pii: ani12223184
doi: 10.3390/ani12223184
pmc: PMC9686488
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Shafagh Valipour (S)

Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS B2N 5E3, Canada.

Karim Karimi (K)

Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS B2N 5E3, Canada.

David Barrett (D)

Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS B2N 5E3, Canada.

Duy Ngoc Do (DN)

Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS B2N 5E3, Canada.

Guoyu Hu (G)

Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS B2N 5E3, Canada.

Mehdi Sargolzaei (M)

Department of Pathobiology, University of Guelph, Guelph, ON N1G 2W1, Canada.
Select Sires Inc., Plain City, OH 43064, USA.

Zhiquan Wang (Z)

Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AL T6G 2H1, Canada.

Younes Miar (Y)

Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS B2N 5E3, Canada.

Classifications MeSH