Reduced-rank estimation of genetic parameters for egg production traits and cluster analyses with predicted breeding values

被引:2
作者
de Freitas, Luara Afonso [1 ,4 ]
Savegnago, Rodrigo Pelicioni [1 ,5 ]
Grupioni, Natalia Vinhal [1 ]
Ramos, Salvador Boccaletti [2 ]
Stafuzza, Nedenia Bonvino [1 ]
Pereira de Figueiredo, Elsio Antonio [3 ]
Schmidt, Gilberto Silber [3 ]
Ledur, Monica Correa [3 ]
Munari, Danisio Prado [1 ]
机构
[1] Univ Estadual Paulista, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP, Brazil
[2] Univ Franca, Programa Posgrad Promocao Saude, Franca, Brazil
[3] Embrapa Suinos & Aves, Concordia, Brazil
[4] Univ Sao Paulo, Fac Med Ribeirao Preto, Dept Genet, Ribeirao Preto, Brazil
[5] Ctr Pesquisa Bovinos Corte, Inst Zootecnia, Sertaozinho, Brazil
来源
ACTA AGRICULTURAE SCANDINAVICA SECTION A-ANIMAL SCIENCE | 2018年 / 68卷 / 02期
基金
巴西圣保罗研究基金会;
关键词
Genetic correlation; heritability; k-means; laying hens; Ward clustering; PRINCIPAL COMPONENTS;
D O I
10.1080/09064702.2019.1580308
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The aims of this study were to compare the suitability of the multi-trait (MUT) model to estimate genetic parameters with that of 13 reduced-rank principal component models (PC1 to PC13), and then to explore the additive genetic patterns of the breeding values obtained from these using clustering analyses of egg production traits. A total of 1,212 records were used to estimate genetic parameters using the MUT and PC models. The PC4 model was the best representation of the data since it had a lower AIC value and was more parsimonious than the MUT model. The estimated heritability of the age at the first egg (AFE) trait from this model was 0.28 +/- 0.06, and the estimated genetic correlation between AFE and total egg production (TP) was -0.52 +/- 0.23. Potentially animals from cluster 2 are more likely to be in the selected group to help improve the egg production.
引用
收藏
页码:81 / 86
页数:6
相关论文
共 17 条
  • [1] Akaike H., 1973, 2 INT S INFORM THEOR, P267
  • [2] Genetic and phenotypic parameters for monthly egg production in White Leghorn hens
    Anang, A
    Mielenz, N
    Schüler, L
    [J]. JOURNAL OF ANIMAL BREEDING AND GENETICS-ZEITSCHRIFT FUR TIERZUCHTUNG UND ZUCHTUNGSBIOLOGIE, 2000, 117 (06): : 407 - 415
  • [3] [Anonymous], R LANG ENV STAT COMP
  • [4] [Anonymous], 2012, Technical Report No. 597
  • [5] Charrad M, 2014, J STAT SOFTW, V61, P1
  • [6] Fairfull RW, 1990, POULTRY BREEDING GEN, P705
  • [7] Phenotypic production characteristics from different breeds of laying hens through data mining
    Ferreira, Priscila Becker
    do Vale, Marcos Martinez
    Macedo, Andre
    Boemo, Lenise Shroder
    Nogara Rorato, Paulo Roberto
    Beck, Tamiris Barbosa
    [J]. CIENCIA RURAL, 2013, 43 (01): : 164 - 171
  • [8] Model-based clustering, discriminant analysis, and density estimation
    Fraley, C
    Raftery, AE
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2002, 97 (458) : 611 - 631
  • [9] WOMBAT: a tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML).
    Meyer K.
    [J]. Journal of Zhejiang University SCIENCE B, 2007, 8 (11): : 815 - 821
  • [10] A presentation of the differences between the sheep and goat genetic maps
    Maddox, JF
    [J]. GENETICS SELECTION EVOLUTION, 2005, 37 : S1 - S10