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Genomic evaluation for two-way crossbred performance in cattle

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

Standard

Genomic evaluation for two-way crossbred performance in cattle. / Mei, Quanshun; Liu, Huiming; Xiang, Tao et al.

WCGALP 2022 Programme book. Wageningen Academic Publishers, 2022.

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

Harvard

Mei, Q, Liu, H, Xiang, T & Christensen, OF 2022, Genomic evaluation for two-way crossbred performance in cattle. i WCGALP 2022 Programme book. Wageningen Academic Publishers, World Congress on Genetics Applied to Livestock Production, Rotterdam, Holland, 03/07/2022. <https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_002.pdf>

APA

CBE

Mei Q, Liu H, Xiang T, Christensen OF. 2022. Genomic evaluation for two-way crossbred performance in cattle. I WCGALP 2022 Programme book. Wageningen Academic Publishers.

MLA

Mei, Quanshun et al. "Genomic evaluation for two-way crossbred performance in cattle". WCGALP 2022 Programme book. Wageningen Academic Publishers. 2022.

Vancouver

Mei Q, Liu H, Xiang T, Christensen OF. Genomic evaluation for two-way crossbred performance in cattle. I WCGALP 2022 Programme book. Wageningen Academic Publishers. 2022

Author

Mei, Quanshun ; Liu, Huiming ; Xiang, Tao et al. / Genomic evaluation for two-way crossbred performance in cattle. WCGALP 2022 Programme book. Wageningen Academic Publishers, 2022.

Bibtex

@inproceedings{b9aa5d08f68e4d9aa27ffe6ced9b696e,
title = "Genomic evaluation for two-way crossbred performance in cattle",
abstract = "Dairy cattle production systems are mostly based on using purebreds, but recently crossbreeding has received increased interest. For genetic evaluation including crossbreds, ideally, models accounting for breed specific effects should perform better compared with simple models. A novel single-step best linear unbiased prediction method provides an opportunity to combine purebred and crossbred information when breed specific effects are accounted for. In this study, we applied this single-step method to evaluate two-way crossbredperformance for average daily gain in crossbred beef on dairy. Results showed that the singlestep method, which accounted for breed specific effects, had a higher predictive ability. We conclude that this method is useful in the genetic evaluation for crossbred performance in cattle production system.",
author = "Quanshun Mei and Huiming Liu and Tao Xiang and Christensen, {Ole Fredslund}",
year = "2022",
month = jul,
language = "English",
booktitle = "WCGALP 2022 Programme book",
publisher = "Wageningen Academic Publishers",
note = "null ; Conference date: 03-07-2022 Through 08-07-2022",
url = "https://wcgalp.com/",

}

RIS

TY - GEN

T1 - Genomic evaluation for two-way crossbred performance in cattle

AU - Mei, Quanshun

AU - Liu, Huiming

AU - Xiang, Tao

AU - Christensen, Ole Fredslund

N1 - Conference code: 12

PY - 2022/7

Y1 - 2022/7

N2 - Dairy cattle production systems are mostly based on using purebreds, but recently crossbreeding has received increased interest. For genetic evaluation including crossbreds, ideally, models accounting for breed specific effects should perform better compared with simple models. A novel single-step best linear unbiased prediction method provides an opportunity to combine purebred and crossbred information when breed specific effects are accounted for. In this study, we applied this single-step method to evaluate two-way crossbredperformance for average daily gain in crossbred beef on dairy. Results showed that the singlestep method, which accounted for breed specific effects, had a higher predictive ability. We conclude that this method is useful in the genetic evaluation for crossbred performance in cattle production system.

AB - Dairy cattle production systems are mostly based on using purebreds, but recently crossbreeding has received increased interest. For genetic evaluation including crossbreds, ideally, models accounting for breed specific effects should perform better compared with simple models. A novel single-step best linear unbiased prediction method provides an opportunity to combine purebred and crossbred information when breed specific effects are accounted for. In this study, we applied this single-step method to evaluate two-way crossbredperformance for average daily gain in crossbred beef on dairy. Results showed that the singlestep method, which accounted for breed specific effects, had a higher predictive ability. We conclude that this method is useful in the genetic evaluation for crossbred performance in cattle production system.

M3 - Article in proceedings

BT - WCGALP 2022 Programme book

PB - Wageningen Academic Publishers

Y2 - 3 July 2022 through 8 July 2022

ER -