Literature DB >> 21524554

Multiple trait genomic evaluation of conception rate in Holsteins.

I Aguilar1, I Misztal, S Tsuruta, G R Wiggans, T J Lawlor.   

Abstract

A national data set of artificial inseminations in US Holsteins was used to obtain genetic evaluations for conception rate (CR). The objective of this study was to investigate the feasibility and resulting accuracy from using all available phenotypic, pedigree, and genomic information. Evaluations were performed by regular BLUP or by BLUP with the traditional pedigree and genomic relationships combined in a unified single-step procedure (SSP). Genetic parameters of CR in the first 3 parities were estimated with data from New York State only. Heritability estimates were around 2% and genetic correlations between CR in different parities were >0.73. The R(2) obtained with the SSP were almost twice as large as those achieved with regular BLUP. Computing the SSP took 2h, and it was 33% slower than a regular BLUP. A multiple-trait evaluation of CR using the SSP is both possible and advantageous.
Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21524554     DOI: 10.3168/jds.2010-3893

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  11 in total

1.  Comparison of genetic parameters and estimated breeding values for worm resistance in meat sheep obtained using traditional and genomic models.

Authors:  Gleyson Vieira Dos Santos; Natanael Pereira da Silva Santos; Luiz Antonio Silva Figueiredo Filho; Fábio Barros Britto; Luciano Silva Sena; Tatiana Saraiva Torres; Paulo Luiz Souza Carneiro; José Lindenberg Rocha Sarmento
Journal:  Trop Anim Health Prod       Date:  2021-04-23       Impact factor: 1.559

2.  Estimation of Genetic Parameters for Female Fertility Traits in the Polish Holstein-Friesian Population.

Authors:  Agnieszka Otwinowska-Mindur; Ewa Ptak; Wojciech Jagusiak; Andrzej Zarnecki
Journal:  Animals (Basel)       Date:  2022-06-08       Impact factor: 3.231

Review 3.  Methods to address poultry robustness and welfare issues through breeding and associated ethical considerations.

Authors:  William M Muir; Heng-Wei Cheng; Candace Croney
Journal:  Front Genet       Date:  2014-11-26       Impact factor: 4.599

4.  Genome-wide association between single nucleotide polymorphisms with beef fatty acid profile in Nellore cattle using the single step procedure.

Authors:  Marcos V A Lemos; Hermenegildo Lucas Justino Chiaia; Mariana Piatto Berton; Fabieli L B Feitosa; Carolyn Aboujaoud; Gregório M F Camargo; Angélica S C Pereira; Lucia G Albuquerque; Adrielle M Ferrinho; Lenise F Mueller; Monica R Mazalli; Joyce J M Furlan; Roberto Carvalheiro; Daniel M Gordo; Rafael Tonussi; Rafael Espigolan; Rafael Medeiros de Oliveira Silva; Henrique Nunes de Oliveira; Susan Duckett; Ignacio Aguilar; Fernando Baldi
Journal:  BMC Genomics       Date:  2016-03-09       Impact factor: 3.969

5.  A predictive assessment of genetic correlations between traits in chickens using markers.

Authors:  Mehdi Momen; Ahmad Ayatollahi Mehrgardi; Ayoub Sheikhy; Ali Esmailizadeh; Masood Asadi Fozi; Andreas Kranis; Bruno D Valente; Guilherme J M Rosa; Daniel Gianola
Journal:  Genet Sel Evol       Date:  2017-02-01       Impact factor: 4.297

6.  Using Different Single-Step Strategies to Improve the Efficiency of Genomic Prediction on Body Measurement Traits in Pig.

Authors:  Hailiang Song; Jinxin Zhang; Qin Zhang; Xiangdong Ding
Journal:  Front Genet       Date:  2019-01-14       Impact factor: 4.599

7.  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

8.  Using imputation-based whole-genome sequencing data to improve the accuracy of genomic prediction for combined populations in pigs.

Authors:  Hailiang Song; Shaopan Ye; Yifan Jiang; Zhe Zhang; Qin Zhang; Xiangdong Ding
Journal:  Genet Sel Evol       Date:  2019-10-21       Impact factor: 4.297

9.  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

10.  Comparison of single-trait and multiple-trait genomic prediction models.

Authors:  Gang Guo; Fuping Zhao; Yachun Wang; Yuan Zhang; Lixin Du; Guosheng Su
Journal:  BMC Genet       Date:  2014-03-04       Impact factor: 2.797

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