Persistence of accuracy of genomic estimated breeding values over generations in layer chickens

被引:72
作者
Wolc, Anna [1 ,2 ,3 ]
Arango, Jesus [5 ]
Settar, Petek [5 ]
Fulton, Janet E. [5 ]
O'Sullivan, Neil P. [5 ]
Preisinger, Rudolf [4 ]
Habier, David [2 ,3 ]
Fernando, Rohan [2 ,3 ]
Garrick, Dorian J. [2 ,3 ]
Dekkers, Jack C. M. [2 ,3 ]
机构
[1] Poznan Univ Life Sci, Dept Anim Breeding & Genet, PL-60637 Poznan, Poland
[2] Iowa State Univ, Dept Anim Sci, Ames, IA 50011 USA
[3] Iowa State Univ, Ctr Integrated Anim Genom, Ames, IA 50011 USA
[4] Lohmann Tierzucht GmbH, D-27472 Cuxhaven, Germany
[5] Hy Line Int, Dallas Ctr, IA 50063 USA
基金
美国食品与农业研究所;
关键词
GENETIC-RELATIONSHIP INFORMATION; SELECTION; PREDICTION; IMPACT; TRAITS; CATTLE; BULLS;
D O I
10.1186/1297-9686-43-23
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Background: The predictive ability of genomic estimated breeding values (GEBV) originates both from associations between high-density markers and QTL (Quantitative Trait Loci) and from pedigree information. Thus, GEBV are expected to provide more persistent accuracy over successive generations than breeding values estimated using pedigree-based methods. The objective of this study was to evaluate the accuracy of GEBV in a closed population of layer chickens and to quantify their persistence over five successive generations using marker or pedigree information. Methods: The training data consisted of 16 traits and 777 genotyped animals from two generations of a brown-egg layer breeding line, 295 of which had individual phenotype records, while others had phenotypes on 2,738 non-genotyped relatives, or similar data accumulated over up to five generations. Validation data included phenotyped and genotyped birds from five subsequent generations (on average 306 birds/generation). Birds were genotyped for 23,356 segregating SNP. Animal models using genomic or pedigree relationship matrices and Bayesian model averaging methods were used for training analyses. Accuracy was evaluated as the correlation between EBV and phenotype in validation divided by the square root of trait heritability. Results: Pedigree relationships in outbred populations are reduced by 50% at each meiosis, therefore accuracy is expected to decrease by the square root of 0.5 every generation, as observed for pedigree-based EBV (Estimated Breeding Values). In contrast the GEBV accuracy was more persistent, although the drop in accuracy was substantial in the first generation. Traits that were considered to be influenced by fewer QTL and to have a higher heritability maintained a higher GEBV accuracy over generations. In conclusion, GEBV capture information beyond pedigree relationships, but retraining every generation is recommended for genomic selection in closed breeding populations.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Effect of prior distributions on accuracy of genomic breeding values for two dairy traits
    Nicolazzi, Ezequiel L.
    Negrini, Riccardo
    Chamberlain, Amanda J.
    Goddard, Michael E.
    Marsan, Paolo Ajmone
    Hayes, Ben J.
    ITALIAN JOURNAL OF ANIMAL SCIENCE, 2013, 12 (04) : 555 - 561
  • [22] Accuracy of genomic breeding values for residual feed intake in crossbred beef cattle
    Mujibi, F. D. N.
    Nkrumah, J. D.
    Durunna, O. N.
    Stothard, P.
    Mah, J.
    Wang, Z.
    Basarab, J.
    Plastow, G.
    Crews, D. H., Jr.
    Moore, S. S.
    JOURNAL OF ANIMAL SCIENCE, 2011, 89 (11) : 3353 - 3361
  • [23] A note on genetic parameters and accuracy of estimated breeding values in honey bees
    Brascamp, Evert W.
    Bijma, Piter
    GENETICS SELECTION EVOLUTION, 2019, 51 (01)
  • [24] The impact of information quantity and strength of relationship between training set and validation set on accuracy of genomic estimated breeding values
    Saatchi, M.
    Miraei-Ashtiani, S. R.
    Javaremi, A. Nejati
    Moradi-Shahrebabak, M.
    Mehrabani-Yeghaneh, H.
    AFRICAN JOURNAL OF BIOTECHNOLOGY, 2010, 9 (04): : 438 - 442
  • [25] Use of Genomic Estimated Breeding Values Results in Rapid Genetic Gains for Drought Tolerance in Maize
    Vivek, B. S.
    Krishna, Girish Kumar
    Vengadessan, V.
    Babu, R.
    Zaidi, P. H.
    Le Quy Kha
    Mandal, S. S.
    Grudloyma, P.
    Takalkar, S.
    Krothapalli, K.
    Singh, I. S.
    Ocampo, Eureka Teresa M.
    Xingming, F.
    Burgueno, J.
    Azrai, M.
    Singh, R. P.
    Crossa, J.
    PLANT GENOME, 2017, 10 (01):
  • [26] Preliminary investigation on reliability of genomic estimated breeding values in the Danish Holstein population
    Su, G.
    Guldbrandtsen, B.
    Gregersen, V. R.
    Lund, M. S.
    JOURNAL OF DAIRY SCIENCE, 2010, 93 (03) : 1175 - 1183
  • [27] Investigating the persistence of accuracy of genomic predictions over time in broilers
    Hidalgo, Jorge
    Lourenco, Daniela
    Tsuruta, Shogo
    Masuda, Yutaka
    Breen, Vivian
    Hawken, Rachel
    Bermann, Matias
    Misztal, Ignacy
    JOURNAL OF ANIMAL SCIENCE, 2021, 99 (09)
  • [28] Accuracy of genomic breeding values for meat tenderness in Polled Nellore cattle
    Magnabosco, C. U.
    Lopes, F. B.
    Fragoso, R. R.
    Eifert, E. C.
    Valente, B. D.
    Rosa, G. J. M.
    Sainz, R. D.
    JOURNAL OF ANIMAL SCIENCE, 2016, 94 (07) : 2752 - 2760
  • [29] Accuracy of predicting genomic breeding values for residual feed intake in Angus and Charolais beef cattle
    Chen, L.
    Schenkel, F.
    Vinsky, M.
    Crews, D. H., Jr.
    Li, C.
    JOURNAL OF ANIMAL SCIENCE, 2013, 91 (10) : 4669 - 4678
  • [30] Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models
    Cappa, Eduardo P.
    El-Kassaby, Yousry A.
    Munoz, Facundo
    Garcia, Martin N.
    Villalba, Pamela V.
    Klapste, Jaroslav
    Marcucci Poltri, Susana N.
    MOLECULAR BREEDING, 2017, 37 (10)