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Short Communication: Investigation of the feasibility of genomic selection in Icelandic Cattle

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Short Communication : Investigation of the feasibility of genomic selection in Icelandic Cattle. / Gautason, Egill; Sahana, Goutam; Su, Guosheng; Benjamínsson, Baldur Helgi; Jóhannesson, Guðmundur; Guldbrandtsen, Bernt.

In: Journal of Animal Science, Vol. 99, No. 7, skab139, 07.2021.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Gautason, E, Sahana, G, Su, G, Benjamínsson, BH, Jóhannesson, G & Guldbrandtsen, B 2021, 'Short Communication: Investigation of the feasibility of genomic selection in Icelandic Cattle', Journal of Animal Science, vol. 99, no. 7, skab139. https://doi.org/10.1093/jas/skab139

APA

Gautason, E., Sahana, G., Su, G., Benjamínsson, B. H., Jóhannesson, G., & Guldbrandtsen, B. (2021). Short Communication: Investigation of the feasibility of genomic selection in Icelandic Cattle. Journal of Animal Science, 99(7), [skab139]. https://doi.org/10.1093/jas/skab139

CBE

Gautason E, Sahana G, Su G, Benjamínsson BH, Jóhannesson G, Guldbrandtsen B. 2021. Short Communication: Investigation of the feasibility of genomic selection in Icelandic Cattle. Journal of Animal Science. 99(7):Article skab139. https://doi.org/10.1093/jas/skab139

MLA

Vancouver

Gautason E, Sahana G, Su G, Benjamínsson BH, Jóhannesson G, Guldbrandtsen B. Short Communication: Investigation of the feasibility of genomic selection in Icelandic Cattle. Journal of Animal Science. 2021 Jul;99(7). skab139. https://doi.org/10.1093/jas/skab139

Author

Gautason, Egill ; Sahana, Goutam ; Su, Guosheng ; Benjamínsson, Baldur Helgi ; Jóhannesson, Guðmundur ; Guldbrandtsen, Bernt. / Short Communication : Investigation of the feasibility of genomic selection in Icelandic Cattle. In: Journal of Animal Science. 2021 ; Vol. 99, No. 7.

Bibtex

@article{a8e12eeeb716442684e14e7c41ae2e51,
title = "Short Communication: Investigation of the feasibility of genomic selection in Icelandic Cattle",
abstract = "Icelandic Cattle is a local dairy cattle breed in Iceland. With about 26,000 breeding females, it is by far the largest among the indigenous Nordic cattle breeds. The objective of this study was to investigate the feasibility of genomic selection in Icelandic Cattle. Pedigree-based best linear unbiased prediction (PBLUP) and single-step genomic best linear unbiased prediction (ssGBLUP) were compared. Accuracy, bias, and dispersion of estimated breeding values (EBV) for milk yield (MY), fat yield (FY), protein yield (PY), and somatic cell score (SCS) were estimated in a cross validation-based design. Accuracy (r) was estimated by the correlation between EBV and corrected phenotype in a validation set. The accuracy (r) of predictions using ssGBLUP increased by 13, 23, 19 and 20 percentage points for MY, FY, PY, and SCS for genotyped animals, compared to PBLUP. The accuracy of non-genotyped animals was not improved for MY and PY, but increased by 0.9 and 3.5 percentage points for FY and SCS. We used the linear regression (LR) method to quantify relative improvements in accuracy, bias (∆), and dispersion (b) of EBV. Using the LR method, the relative improvements in accuracy of validation from PBLUP to ssGBLUP were 43%, 60%, 50%, and 48% for genotyped animals for MY, FY, PY, and SCS. Single-step GBLUP EBV were less underestimated (∆), and less over-dispersed (b) than PBLUP EBV for FY and PY. Pedigree-based BLUP EBV were close to unbiased for MY and SCS. Single-step GBLUP underestimated MY EBV but overestimated SCS EBV. Based on the average accuracy of 0.45 for ssGBLUP EBV obtained in this study, selection intensities according to the breeding scheme of Icelandic Cattle, and assuming a generation interval of 2.0 years for sires of bulls, sires of dams and dams of bulls, genetic gain in Icelandic Cattle could be increased by about 50% relative to the current breeding scheme.",
keywords = "accuracy, bias, cattle, genetic gain, selection, single-step",
author = "Egill Gautason and Goutam Sahana and Guosheng Su and Benjam{\'i}nsson, {Baldur Helgi} and Gu{\dh}mundur J{\'o}hannesson and Bernt Guldbrandtsen",
note = "{\textcopyright} The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.",
year = "2021",
month = jul,
doi = "10.1093/jas/skab139",
language = "English",
volume = "99",
journal = "Journal of Animal Science",
issn = "0021-8812",
publisher = "AMER SOC ANIMAL SCIENCE",
number = "7",

}

RIS

TY - JOUR

T1 - Short Communication

T2 - Investigation of the feasibility of genomic selection in Icelandic Cattle

AU - Gautason, Egill

AU - Sahana, Goutam

AU - Su, Guosheng

AU - Benjamínsson, Baldur Helgi

AU - Jóhannesson, Guðmundur

AU - Guldbrandtsen, Bernt

N1 - © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

PY - 2021/7

Y1 - 2021/7

N2 - Icelandic Cattle is a local dairy cattle breed in Iceland. With about 26,000 breeding females, it is by far the largest among the indigenous Nordic cattle breeds. The objective of this study was to investigate the feasibility of genomic selection in Icelandic Cattle. Pedigree-based best linear unbiased prediction (PBLUP) and single-step genomic best linear unbiased prediction (ssGBLUP) were compared. Accuracy, bias, and dispersion of estimated breeding values (EBV) for milk yield (MY), fat yield (FY), protein yield (PY), and somatic cell score (SCS) were estimated in a cross validation-based design. Accuracy (r) was estimated by the correlation between EBV and corrected phenotype in a validation set. The accuracy (r) of predictions using ssGBLUP increased by 13, 23, 19 and 20 percentage points for MY, FY, PY, and SCS for genotyped animals, compared to PBLUP. The accuracy of non-genotyped animals was not improved for MY and PY, but increased by 0.9 and 3.5 percentage points for FY and SCS. We used the linear regression (LR) method to quantify relative improvements in accuracy, bias (∆), and dispersion (b) of EBV. Using the LR method, the relative improvements in accuracy of validation from PBLUP to ssGBLUP were 43%, 60%, 50%, and 48% for genotyped animals for MY, FY, PY, and SCS. Single-step GBLUP EBV were less underestimated (∆), and less over-dispersed (b) than PBLUP EBV for FY and PY. Pedigree-based BLUP EBV were close to unbiased for MY and SCS. Single-step GBLUP underestimated MY EBV but overestimated SCS EBV. Based on the average accuracy of 0.45 for ssGBLUP EBV obtained in this study, selection intensities according to the breeding scheme of Icelandic Cattle, and assuming a generation interval of 2.0 years for sires of bulls, sires of dams and dams of bulls, genetic gain in Icelandic Cattle could be increased by about 50% relative to the current breeding scheme.

AB - Icelandic Cattle is a local dairy cattle breed in Iceland. With about 26,000 breeding females, it is by far the largest among the indigenous Nordic cattle breeds. The objective of this study was to investigate the feasibility of genomic selection in Icelandic Cattle. Pedigree-based best linear unbiased prediction (PBLUP) and single-step genomic best linear unbiased prediction (ssGBLUP) were compared. Accuracy, bias, and dispersion of estimated breeding values (EBV) for milk yield (MY), fat yield (FY), protein yield (PY), and somatic cell score (SCS) were estimated in a cross validation-based design. Accuracy (r) was estimated by the correlation between EBV and corrected phenotype in a validation set. The accuracy (r) of predictions using ssGBLUP increased by 13, 23, 19 and 20 percentage points for MY, FY, PY, and SCS for genotyped animals, compared to PBLUP. The accuracy of non-genotyped animals was not improved for MY and PY, but increased by 0.9 and 3.5 percentage points for FY and SCS. We used the linear regression (LR) method to quantify relative improvements in accuracy, bias (∆), and dispersion (b) of EBV. Using the LR method, the relative improvements in accuracy of validation from PBLUP to ssGBLUP were 43%, 60%, 50%, and 48% for genotyped animals for MY, FY, PY, and SCS. Single-step GBLUP EBV were less underestimated (∆), and less over-dispersed (b) than PBLUP EBV for FY and PY. Pedigree-based BLUP EBV were close to unbiased for MY and SCS. Single-step GBLUP underestimated MY EBV but overestimated SCS EBV. Based on the average accuracy of 0.45 for ssGBLUP EBV obtained in this study, selection intensities according to the breeding scheme of Icelandic Cattle, and assuming a generation interval of 2.0 years for sires of bulls, sires of dams and dams of bulls, genetic gain in Icelandic Cattle could be increased by about 50% relative to the current breeding scheme.

KW - accuracy

KW - bias

KW - cattle

KW - genetic gain

KW - selection

KW - single-step

U2 - 10.1093/jas/skab139

DO - 10.1093/jas/skab139

M3 - Journal article

C2 - 33942082

VL - 99

JO - Journal of Animal Science

JF - Journal of Animal Science

SN - 0021-8812

IS - 7

M1 - skab139

ER -