Genetic analysis of morphological and functional traits in Campolina horses using Bayesian multi-trait model

被引:19
|
作者
Bussiman, Fernando de Oliveira [1 ]
Perez, Bruno da Costa [1 ]
Ventura, Ricardo Vieira [2 ,3 ,4 ]
Fonseca e Silva, Fabyano [5 ]
Campolina Diniz Peixoto, Maria Gabriela [6 ]
Vizona, Rafael Guimaraes [2 ]
Mattos, Elisangela Chicaroni [7 ]
Sterman Ferraz, Jose Bento [7 ]
Eler, Joanir Pereira [7 ]
Curi, Rogerio Abdallah [8 ]
de Carvalho Balieiro, Julio Cesar [2 ]
机构
[1] Univ Sao Paulo FZEA USP, Dept Anim Sci, Coll Anim Sci & Food Engn, Pirassununga, SP, Brazil
[2] Univ Sao Paulo FMVZ USP, Coll Vet Med & Anim Sci, Dept Anim Nutr & Prod, Pirassununga, SP, Brazil
[3] BIO, Elora, ON, Canada
[4] Univ Guelph, Dept Anim & Poultry Sci, Guelph, ON, Canada
[5] Fed Univ Vicosa DZO UFV, Dept Anim Sci, Vicosa, MG, Brazil
[6] Brazilian Agr Res Corp CNPGL EMBRAPA, Natl Ctr Res Dairy Cattle, Juiz De Fora, MG, Brazil
[7] Univ Sao Paulo GMAB FZEA USP, Coll Anim Sci & Food Engn, Grp Genet Improvement & Biotechnol, Dept Vet Sci, Pirassununga, SP, Brazil
[8] Sao Paulo State Univ FMVZ UNESP, Dept Genet Improvement & Anim Nutr, Coll Vet Med & Anim Sci, Botucatu, SP, Brazil
关键词
Gaited horse; Quantitative genetics; Genetic correlations; Multi-trait models; Bayesian inference; LINEAR TYPE; PARAMETERS; SELECTION; PREDICTION;
D O I
10.1016/j.livsci.2018.08.002
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
In general, is said that functional traits have a positive genetic correlation with conformation in horses but, this hypothesis has never been investigated in the Brazilian Campolina breed. We aimed to estimate genetic parameters (heritabilities and genetic correlations) for these traits based on genealogical records from 107,951 animals, in which 43,159 were phenotyped. A total of 16 morphological traits (MT); one gaits score (GtS) and two traits related to conformation harmony (CH), were simultaneously analysed under a Bayesian multi-trait model framework. Genetic trends were estimated over the years of birth for animals born between 1951 and 2016. MT were all genetically positively associated (from 0.05 to 0.98). CH traits presented positive and negative genetic correlations, but all favourable to the selection goals. GtS was negatively associated with all MT, except for Chest Width (0.08). CH and GtS presented lower positive genetic correlation (0.10 and 0.01, for the ratio between Height at Withers and Height at Back, and ratio of Back-Loins Length over Body Length, respectively). Observed results indicated the existence of sufficient additive genetic variance (heritability estimates ranged from 0.07 to 0.43) for the studied traits, benefiting the implementation of a breeding program, if the desired is to select animals for morphology or gaits. All genetic trends were favorable despite of the phenotypic selection in the Campolina breed. These trends presented low regression coefficients, but the increase on average predicted breeding values for the investigated period was 137.9%.
引用
收藏
页码:119 / 129
页数:11
相关论文
共 50 条
  • [41] Multi-Trait Genetic Analysis Identifies Autoimmune Loci Associated with Cutaneous Melanoma
    Liyanage, Upekha E.
    MacGregor, Stuart
    Bishop, D. Timothy
    Shi, Jianxin
    An, Jiyuan
    Ong, Jue Sheng
    Han, Xikun
    Scolyer, Richard A.
    Martin, Nicholas G.
    Medland, Sarah E.
    Byrne, Enda M.
    Green, Adele C.
    Saw, Robyn P. M.
    Thompson, John F.
    Stretch, Jonathan
    Spillane, Andrew
    Jiang, Yunxuan
    Tian, Chao
    Gordon, Scott G.
    Duffy, David L.
    Oslen, Catherine M.
    Whiteman, David C.
    Long, Georgina V.
    Iles, Mark M.
    Landi, Maria Teresa
    Law, Matthew H.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2022, 142 (06) : 1607 - 1616
  • [42] Estimation of genetic parameters for litter size in pigs using multi-trait analyses
    Barbosa, Leandro
    Lopes, Paulo Savio
    Regazzi, Adair Jose
    Torres, Robledo de Almeida
    Santana, Mario Luiz, Jr.
    Veroneze, Renata
    REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2008, 37 (11): : 1947 - 1952
  • [43] Genetic analysis of live weight of Sardi sheep using random regression and multi-trait animal models
    Jannoune, A.
    Boujenane, I.
    Falaki, M.
    Derqaoui, L.
    SMALL RUMINANT RESEARCH, 2015, 130 : 1 - 7
  • [44] Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice
    Azevedo, Camila Ferreira
    Valiati Barreto, Cynthia Aparecida
    Suela, Matheus Massariol
    Nascimento, Moyses
    da Silva Junior, Antonio Carlos
    Campana Nascimento, Ana Carolina
    Cruz, Cosme Damiao
    Soraes, Plinio Cesar
    SCIENTIA AGRICOLA, 2023, 80
  • [45] Multi-trait genetic evaluation for horn traits of economic importance in the Cape buffalo (Syncerus caffer caffer)
    Lepori, A. A.
    Josling, G. C.
    Neser, F. W. C.
    Lubout, P. C.
    van Wyk, J. B.
    SOUTH AFRICAN JOURNAL OF ANIMAL SCIENCE, 2019, 49 (02) : 363 - 370
  • [46] Sensitivity of response of multi-trait index selection to changes in genetic correlations between production traits in sheep
    Safari, E
    Fogarty, NM
    Gilmour, AR
    AUSTRALIAN JOURNAL OF EXPERIMENTAL AGRICULTURE, 2006, 46 (03) : 283 - 290
  • [47] Subset scanning for multi-trait analysis using GWAS summary statistics
    Cao, Rui
    Olawsky, Evan
    McFowland III, Edward
    Marcotte, Erin
    Spector, Logan
    Yang, Tianzhong
    BIOINFORMATICS, 2024, 40 (01)
  • [48] A multi-trait GWAS-based genetic association network controlling soybean architecture and seed traits
    Niu, Mengrou
    Tian, Kewei
    Chen, Qiang
    Yang, Chunyan
    Zhang, Mengchen
    Sun, Shiyong
    Wang, Xuelu
    FRONTIERS IN PLANT SCIENCE, 2024, 14
  • [49] CONSTRUCTION OF MULTI-TRAIT SELECTION INDEXES AND EVALUATION OF GENETIC COST OF IMPOSING RESTRICTIONS ON CONSTITUENT TRAITS IN BROILERS
    AKHTAR, SMH
    VERMA, SK
    MISHRA, HR
    INDIAN JOURNAL OF ANIMAL SCIENCES, 1993, 63 (07): : 754 - 760
  • [50] Identification of novel genetic sources for agronomic and quality traits in soybean using multi-trait allele specific genic marker assays
    Giriraj Kumawat
    Shivakumar Maranna
    Sanjay Gupta
    Rachana Tripathi
    Nisha Agrawal
    Vijayata Singh
    Vangala Rajesh
    Subhash Chandra
    Viraj Kamble
    Vennampally Nataraj
    Abhishek Bharti
    Mahaveer P. Sharma
    Pravin V. Jadhav
    Milind B. Ratnaparkhe
    Gyanesh K. Satpute
    Virender S. Bhatia
    Journal of Plant Biochemistry and Biotechnology, 2021, 30 : 160 - 171