Genetic and phenotypic parameters for feed efficiency and component traits in American mink.

American mink Kleiber ratio genetic correlation heritability residual feed intake

Journal

Journal of animal science
ISSN: 1525-3163
Titre abrégé: J Anim Sci
Pays: United States
ID NLM: 8003002

Informations de publication

Date de publication:
01 Aug 2022
Historique:
received: 27 02 2022
accepted: 08 06 2022
pubmed: 9 7 2022
medline: 30 8 2022
entrez: 8 7 2022
Statut: ppublish

Résumé

Feed cost is the largest expense of mink production systems, and, therefore, improvement of feed efficiency (FE) through selection for high feed-efficient mink is a practical way to increase the mink industry's sustainability. In this study, we estimated the heritability, phenotypic, and genetic correlations for different FE measures and component traits, including harvest weight (HW), harvest length (HL), final body length (FBL), final body weight (FBW), average daily gain (ADG), daily feed intake (DFI), feed conversion ratio (FCR), residual feed intake (RFI), residual gain (RG), residual intake and gain (RIG), and Kleiber ratio (KR), using data from 2,288 American mink (for HW and HL), and 1,038 to 1,906 American mink (for other traits). Significance (P < 0.05) of fixed effects (farm, sex, and color type), a covariate (age of animal), and random effects (additive genetic, maternal, and common litter) were evaluated through univariate models implemented in ASReml-R version 4. Genetic parameters were estimated via fitting a set of bivariate models using ASReml-R version 4. Estimates of heritabilities (±SE) were 0.28 ± 0.06, 0.23 ± 0.06, 0.28 ± 0.10, 0.27 ± 0.11, 0.25 ± 0.09, 0.26 ± 0.09, 0.20 ± 0.09, 0.23 ± 0.09, 0.21 ± 0.10, 0.25 ± 0.10, and 0.26 ± 0.10 for HW, HL, FBL, FBW, ADG, DFI, FCR, RFI, RG, RIG, and KR, respectively. RIG had favorable genetic correlations with DFI (-0.62 ± 0.24) and ADG (0.58 ± 0.21), and nonsignificant (P > 0.05) genetic correlations with FBW (0.14 ± 0.31) and FBL (-0.15 ± 0.31). These results revealed that RIG might be a superior trait as it guarantees reduced feed intake with faster-growing mink yet with no negative impacts on body weight and length. In addition, the strong positive genetic correlations (±SE) between KR with component traits (0.88 ± 0.11 with FBW, 0.68 ± 0.17 with FBL, and 0.97 ± 0.02 with ADG) suggested KR as an applicable indirect measure of FE for improvement of component traits as it did not require the individual feed intake to be measured. Overall, our results confirmed the possibility of including FE traits in mink breeding programs to effectively select feed-efficient animals. Improvement of feed efficiency (FE) in American mink is highly beneficial, as feed costs comprise the largest expense of mink production systems. The present study estimated the heritability, phenotypic and genetic correlations for different FE measures and component traits in mink. The residual intake and gain can be applied as FE measurement in selection programs as it will guarantee faster-growing mink with reduced feed intake, yet without negative impacts on growth traits. In addition, Kleiber ratio had strong positive genetic correlations with component traits, which made this trait an appealing indirect FE trait for mink breeding programs, knowing the fact that this trait was not dependent on feed intake records. Overall, our results suggested that including FE traits can assist mink breeding programs to develop an index for the selection of feed-efficient mink and, therefore, reduce the cost of mink production.

Autres résumés

Type: plain-language-summary (eng)
Improvement of feed efficiency (FE) in American mink is highly beneficial, as feed costs comprise the largest expense of mink production systems. The present study estimated the heritability, phenotypic and genetic correlations for different FE measures and component traits in mink. The residual intake and gain can be applied as FE measurement in selection programs as it will guarantee faster-growing mink with reduced feed intake, yet without negative impacts on growth traits. In addition, Kleiber ratio had strong positive genetic correlations with component traits, which made this trait an appealing indirect FE trait for mink breeding programs, knowing the fact that this trait was not dependent on feed intake records. Overall, our results suggested that including FE traits can assist mink breeding programs to develop an index for the selection of feed-efficient mink and, therefore, reduce the cost of mink production.

Identifiants

pubmed: 35801647
pii: 6633851
doi: 10.1093/jas/skac216
pmc: PMC9412173
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Natural Sciences and Engineering Research Council
Organisme : Canada Mink Breeders Association
Organisme : Nova Scotia Mink Breeders Association
Organisme : Mink Veterinary Consulting Research and Services

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Références

J Anim Sci. 2017 Aug;95(8):3370-3380
pubmed: 28805927
Arch Tierernahr. 1984 Oct;34(10):739-47
pubmed: 6517695
J Anim Sci. 2018 Jun 29;96(7):2596-2606
pubmed: 29726960
Animals (Basel). 2019 Dec 20;10(1):
pubmed: 31877627
J Anim Sci. 2013 Jul;91(7):3121-8
pubmed: 23658340
Genomics. 2009 Sep;94(3):204-10
pubmed: 19520153
Animal. 2015 Oct;9(10):1597-604
pubmed: 26051560
Animals (Basel). 2021 May 16;11(5):
pubmed: 34065657
Sci Rep. 2019 Mar 14;9(1):4581
pubmed: 30872653
Animal. 2020 Sep;14(9):1793-1801
pubmed: 32321621
J Anim Sci. 1994 May;72(5):1126-37
pubmed: 8056657
Anim Biosci. 2021 Jun;34(6):967-974
pubmed: 32898957
Sci Rep. 2017 Sep 29;7(1):12461
pubmed: 28963476
J Anim Sci. 2015 Aug;93(8):3773-82
pubmed: 26440156
J Anim Sci. 2013 Apr;91(4):1594-613
pubmed: 23345557
Genet Sel Evol. 2007 Jul-Aug;39(4):431-46
pubmed: 17612482
Poult Sci. 2004 Jun;83(6):860-7
pubmed: 15206610
J Anim Sci. 2001 Nov;79(11):2805-11
pubmed: 11768108
J Anim Sci. 2012 Jan;90(1):109-15
pubmed: 21890504
J Anim Sci. 2013 Sep;91(9):4069-79
pubmed: 23825329
Animal. 2010 Feb;4(2):183-8
pubmed: 22443871
J Anim Sci. 2021 Sep 1;99(9):
pubmed: 34370859
J Anim Sci. 2010 Mar;88(3):885-94
pubmed: 19966161
J Anim Breed Genet. 2019 Nov;136(6):474-483
pubmed: 31020712
Euro Surveill. 2020 Jun;25(23):
pubmed: 32553059
Animals (Basel). 2021 Jan 12;11(1):
pubmed: 33445704
J Anim Sci. 2014 Jun;92(6):2377-86
pubmed: 24671579
J Anim Breed Genet. 2017 Aug;134(4):322-331
pubmed: 28295659
J Anim Sci. 2004 Mar;82(3):654-60
pubmed: 15032421
J Anim Sci. 2021 Mar 1;99(3):
pubmed: 33585905
Poult Sci. 2015 Jul;94(7):1470-5
pubmed: 26009751
Genet Sel Evol. 2013 Jul 16;45:26
pubmed: 23865507
J Anim Sci. 2014 Jul;92(7):2869-84
pubmed: 24778330
J Dairy Sci. 2016 Jan;99(1):443-57
pubmed: 26547641
J Anim Sci. 2005 Apr;83(4):777-85
pubmed: 15753331
J Anim Sci. 1993 Dec;71(12):3239-50
pubmed: 8294275
Life (Basel). 2021 Aug 13;11(8):
pubmed: 34440573
Br Poult Sci. 2005 Feb;46(1):43-53
pubmed: 15835251
Physiol Rev. 1947 Oct;27(4):511-41
pubmed: 20267758
Animal. 2021 Mar;15(3):100160
pubmed: 33546982
J Dairy Sci. 2011 Apr;94(4):2108-13
pubmed: 21427002
Animal. 2020 Apr;14(4):681-687
pubmed: 31640830

Auteurs

Pourya Davoudi (P)

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

Duy Do (D)

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

Stefanie M Colombo (SM)

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

Bruce Rathgeber (B)

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

Guoyu Hu (G)

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

Mehdi Sargolzaei (M)

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

Zhiquan Wang (Z)

Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.

Graham Plastow (G)

Livestock Gentec, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.

Younes Miar (Y)

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

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Classifications MeSH