Literature DB >> 24782393

Genomic prediction in Japanese Black cattle: application of a single-step approach to beef cattle.

A Onogi1, A Ogino, T Komatsu, N Shoji, K Simizu, K Kurogi, T Yasumori, K Togashi, H Iwata.   

Abstract

The implementation of genomic selection for Japanese Black cattle, known for rich marbling of their meat, is now being explored. Although multiple-step methods are often adopted for dairy cattle, they present shortcomings such as bias and loss of information in addition to operational complexity. These can be avoided using single-step genomic BLUP (ssGBLUP) based on the relationship matrix H, which is constructed from the numerator relationship matrix (A) augmented by the genomic relationship matrix (G). This study assessed the use of ssGBLUP for 3 economically important traits in Japanese Black cattle. Three aspects of ssGBLUP that are important for practical use were examined specifically: the mixing proportions of blending G with A, selection of subsets of genotyped animals used for constructing H, and prediction ability for ungenotyped animals. Different mixing proportions were tested to assess the influence of these proportions on variance component estimation and prediction accuracy. For all traits, the highest or nearly highest accuracy was obtained when the adopted mixing proportion provided heritability closest to that inferred based on A. However, the accuracy did not increase greatly under adjustment of the mixing proportion, thereby suggesting that the influence of the mixing proportion on the accuracy was limited. Genotype data of influential bulls showed a greater contribution to accuracy than that of bulls that were less influential. Genotyping animals with phenotypic records increased the accuracy. It can be prioritized over genotyping bulls that are not influential on the population. These results are expected to present good guides to the future expansion of genotyped populations. Even for animals without genotype data but with genotyped sires, ssGBLUP provided more accurate prediction than BLUP did. For both phenotype and breeding value prediction, ssGBLUP provides more accurate prediction than BLUP, suggesting its usefulness in genomic selection in Japanese Black cattle.

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Year:  2014        PMID: 24782393     DOI: 10.2527/jas.2014-7168

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  15 in total

1.  Genomic prediction with non-additive effects in beef cattle: stability of variance component and genetic effect estimates against population size.

Authors:  Akio Onogi; Toshio Watanabe; Atsushi Ogino; Kazuhito Kurogi; Kenji Togashi
Journal:  BMC Genomics       Date:  2021-07-07       Impact factor: 3.969

2.  Genetic association among feeding behavior, feed efficiency, and growth traits in growing indicine cattle.

Authors:  Lorena Ferreira Benfica; Leandro Sannomiya Sakamoto; Ana Fabrícia Braga Magalhães; Matheus Henrique Vargas de Oliveira; Lúcia Galvão de Albuquerque; Roberto Cavalheiro; Renata Helena Branco; Joslaine Noely Dos Santos Goncalves Cyrillo; Maria Eugênia Zerlotti Mercadante
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

3.  Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture.

Authors:  Hossein Mehrban; Deuk Hwan Lee; Mohammad Hossein Moradi; Chung IlCho; Masoumeh Naserkheil; Noelia Ibáñez-Escriche
Journal:  Genet Sel Evol       Date:  2017-01-04       Impact factor: 4.297

4.  Evaluation of GBLUP, BayesB and elastic net for genomic prediction in Chinese Simmental beef cattle.

Authors:  Xiaoqiao Wang; Jian Miao; Tianpeng Chang; Jiangwei Xia; Binxin An; Yan Li; Lingyang Xu; Lupei Zhang; Xue Gao; Junya Li; Huijiang Gao
Journal:  PLoS One       Date:  2019-02-28       Impact factor: 3.240

5.  Comparison of conventional BLUP and single-step genomic BLUP evaluations for yearling weight and carcass traits in Hanwoo beef cattle using single trait and multi-trait models.

Authors:  Hossein Mehrban; Deuk Hwan Lee; Masoumeh Naserkheil; Mohammad Hossein Moradi; Noelia Ibáñez-Escriche
Journal:  PLoS One       Date:  2019-10-14       Impact factor: 3.240

6.  Single-step genomic prediction of fruit-quality traits using phenotypic records of non-genotyped relatives in citrus.

Authors:  Atsushi Imai; Takeshi Kuniga; Terutaka Yoshioka; Keisuke Nonaka; Nobuhito Mitani; Hiroshi Fukamachi; Naofumi Hiehata; Masashi Yamamoto; Takeshi Hayashi
Journal:  PLoS One       Date:  2019-08-29       Impact factor: 3.240

7.  Application of single-step genomic evaluation using social genetic effect model for growth in pig.

Authors:  Joon Ki Hong; Young Sin Kim; Kyu Ho Cho; Deuk Hwan Lee; Ye Jin Min; Eun Seok Cho
Journal:  Asian-Australas J Anim Sci       Date:  2019-08-26       Impact factor: 2.509

8.  Improving the accuracy of genomic evaluation for linear body measurement traits using single-step genomic best linear unbiased prediction in Hanwoo beef cattle.

Authors:  Masoumeh Naserkheil; Deuk Hwan Lee; Hossein Mehrban
Journal:  BMC Genet       Date:  2020-12-02       Impact factor: 2.797

9.  Impact of QTL minor allele frequency on genomic evaluation using real genotype data and simulated phenotypes in Japanese Black cattle.

Authors:  Yoshinobu Uemoto; Shinji Sasaki; Takatoshi Kojima; Yoshikazu Sugimoto; Toshio Watanabe
Journal:  BMC Genet       Date:  2015-11-19       Impact factor: 2.797

10.  Accuracies of genomic prediction for twenty economically important traits in Chinese Simmental beef cattle.

Authors:  B Zhu; P Guo; Z Wang; W Zhang; Y Chen; L Zhang; H Gao; Z Wang; X Gao; L Xu; J Li
Journal:  Anim Genet       Date:  2019-09-09       Impact factor: 3.169

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