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Nina Aagaard Poulsen

Short communication: Multi-trait estimation of genetic parameters for milk protein composition in the Danish Holstein

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Short communication : Multi-trait estimation of genetic parameters for milk protein composition in the Danish Holstein. / Gebreyesus, G; Lund, M S; Janss, L; Poulsen, N A; Larsen, L B; Bovenhuis, H; Buitenhuis, A J.

I: Journal of Dairy Science, Bind 99, Nr. 4, 21.01.2016, s. 2863-2866.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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@article{8b286b63f3e444468dde486bb9c568bb,
title = "Short communication: Multi-trait estimation of genetic parameters for milk protein composition in the Danish Holstein",
abstract = "Genetic parameters were estimated for the major milk proteins using bivariate and multi-trait models based on genomic relationships between animals. The analyses included, apart from total protein percentage, αS1-casein (CN), αS2-CN, β-CN, κ-CN, α-lactalbumin, and β-lactoglobulin, as well as the posttranslational sub-forms of glycosylated κ-CN and αS1-CN-8P (phosphorylated). Standard errors of the estimates were used to compare the models. In total, 650 Danish Holstein cows across 4 parities and days in milk ranging from 9 to 481 d were selected from 21 herds. The multi-trait model generally resulted in lower standard errors of heritability estimates, suggesting that genetic parameters can be estimated with high accuracy using multi-trait analyses with genomic relationships for scarcely recorded traits. The heritability estimates from the multi-trait model ranged from low (0.05 for β-CN) to high (0.78 for κ-CN). Genetic correlations between the milk proteins and the total milk protein percentage were generally low, suggesting the possibility to alter protein composition through selective breeding with little effect on total milk protein percentage.",
author = "G Gebreyesus and Lund, {M S} and L Janss and Poulsen, {N A} and Larsen, {L B} and H Bovenhuis and Buitenhuis, {A J}",
note = "Copyright {\textcopyright} 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.",
year = "2016",
month = jan,
day = "21",
doi = "10.3168/jds.2015-10501",
language = "English",
volume = "99",
pages = "2863--2866",
journal = "Journal of Dairy Science",
issn = "0022-0302",
publisher = "Elsevier Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Short communication

T2 - Multi-trait estimation of genetic parameters for milk protein composition in the Danish Holstein

AU - Gebreyesus, G

AU - Lund, M S

AU - Janss, L

AU - Poulsen, N A

AU - Larsen, L B

AU - Bovenhuis, H

AU - Buitenhuis, A J

N1 - Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

PY - 2016/1/21

Y1 - 2016/1/21

N2 - Genetic parameters were estimated for the major milk proteins using bivariate and multi-trait models based on genomic relationships between animals. The analyses included, apart from total protein percentage, αS1-casein (CN), αS2-CN, β-CN, κ-CN, α-lactalbumin, and β-lactoglobulin, as well as the posttranslational sub-forms of glycosylated κ-CN and αS1-CN-8P (phosphorylated). Standard errors of the estimates were used to compare the models. In total, 650 Danish Holstein cows across 4 parities and days in milk ranging from 9 to 481 d were selected from 21 herds. The multi-trait model generally resulted in lower standard errors of heritability estimates, suggesting that genetic parameters can be estimated with high accuracy using multi-trait analyses with genomic relationships for scarcely recorded traits. The heritability estimates from the multi-trait model ranged from low (0.05 for β-CN) to high (0.78 for κ-CN). Genetic correlations between the milk proteins and the total milk protein percentage were generally low, suggesting the possibility to alter protein composition through selective breeding with little effect on total milk protein percentage.

AB - Genetic parameters were estimated for the major milk proteins using bivariate and multi-trait models based on genomic relationships between animals. The analyses included, apart from total protein percentage, αS1-casein (CN), αS2-CN, β-CN, κ-CN, α-lactalbumin, and β-lactoglobulin, as well as the posttranslational sub-forms of glycosylated κ-CN and αS1-CN-8P (phosphorylated). Standard errors of the estimates were used to compare the models. In total, 650 Danish Holstein cows across 4 parities and days in milk ranging from 9 to 481 d were selected from 21 herds. The multi-trait model generally resulted in lower standard errors of heritability estimates, suggesting that genetic parameters can be estimated with high accuracy using multi-trait analyses with genomic relationships for scarcely recorded traits. The heritability estimates from the multi-trait model ranged from low (0.05 for β-CN) to high (0.78 for κ-CN). Genetic correlations between the milk proteins and the total milk protein percentage were generally low, suggesting the possibility to alter protein composition through selective breeding with little effect on total milk protein percentage.

U2 - 10.3168/jds.2015-10501

DO - 10.3168/jds.2015-10501

M3 - Journal article

C2 - 26805988

VL - 99

SP - 2863

EP - 2866

JO - Journal of Dairy Science

JF - Journal of Dairy Science

SN - 0022-0302

IS - 4

ER -