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Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs

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Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs. / Gao, Hongding; Su, Guosheng; Jensen, Just; Madsen, Per; Christensen, Ole F.; Ask, Birgitte; Poulsen, Bjarke G.; Ostersen, Tage; Nielsen, Bjarne.

In: Genetics Selection Evolution, Vol. 53, No. 1, 33, 04.2021.

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@article{552c9fd8aed542aba9009a91d971500c,
title = "Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs",
abstract = "In breeding programs, recording large-scale feed intake (FI) data routinely at the individual level is costly and difficult compared with other production traits. An alternative approach could be to record FI at the group level since animals such as pigs are normally housed in groups and fed by a shared feeder. However, to date there have been few investigations about the difference between group- and individual-level FI recorded in different environments. We hypothesized that group- and individual-level FI are genetically correlated but different traits. This study, based on the experiment undertaken in purebred DanBred Landrace (L) boars, was set out to estimate the genetic variances and correlations between group- and individual-level FI using a bivariate random regression model, and to examine to what extent prediction accuracy can be improved by adding information of individual-level FI to group-level FI for animals recorded in groups. For both bivariate and univariate models, single-step genomic best linear unbiased prediction (ssGBLUP) and pedigree-based BLUP (PBLUP) were implemented and compared.",
author = "Hongding Gao and Guosheng Su and Just Jensen and Per Madsen and Christensen, {Ole F.} and Birgitte Ask and Poulsen, {Bjarke G.} and Tage Ostersen and Bjarne Nielsen",
year = "2021",
month = apr,
doi = "10.1186/s12711-021-00624-3",
language = "English",
volume = "53",
journal = "Genetics Selection Evolution",
issn = "0999-193X",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Genetic parameters and genomic prediction for feed intake recorded at the group and individual level in different production systems for growing pigs

AU - Gao, Hongding

AU - Su, Guosheng

AU - Jensen, Just

AU - Madsen, Per

AU - Christensen, Ole F.

AU - Ask, Birgitte

AU - Poulsen, Bjarke G.

AU - Ostersen, Tage

AU - Nielsen, Bjarne

PY - 2021/4

Y1 - 2021/4

N2 - In breeding programs, recording large-scale feed intake (FI) data routinely at the individual level is costly and difficult compared with other production traits. An alternative approach could be to record FI at the group level since animals such as pigs are normally housed in groups and fed by a shared feeder. However, to date there have been few investigations about the difference between group- and individual-level FI recorded in different environments. We hypothesized that group- and individual-level FI are genetically correlated but different traits. This study, based on the experiment undertaken in purebred DanBred Landrace (L) boars, was set out to estimate the genetic variances and correlations between group- and individual-level FI using a bivariate random regression model, and to examine to what extent prediction accuracy can be improved by adding information of individual-level FI to group-level FI for animals recorded in groups. For both bivariate and univariate models, single-step genomic best linear unbiased prediction (ssGBLUP) and pedigree-based BLUP (PBLUP) were implemented and compared.

AB - In breeding programs, recording large-scale feed intake (FI) data routinely at the individual level is costly and difficult compared with other production traits. An alternative approach could be to record FI at the group level since animals such as pigs are normally housed in groups and fed by a shared feeder. However, to date there have been few investigations about the difference between group- and individual-level FI recorded in different environments. We hypothesized that group- and individual-level FI are genetically correlated but different traits. This study, based on the experiment undertaken in purebred DanBred Landrace (L) boars, was set out to estimate the genetic variances and correlations between group- and individual-level FI using a bivariate random regression model, and to examine to what extent prediction accuracy can be improved by adding information of individual-level FI to group-level FI for animals recorded in groups. For both bivariate and univariate models, single-step genomic best linear unbiased prediction (ssGBLUP) and pedigree-based BLUP (PBLUP) were implemented and compared.

U2 - 10.1186/s12711-021-00624-3

DO - 10.1186/s12711-021-00624-3

M3 - Journal article

C2 - 33832423

VL - 53

JO - Genetics Selection Evolution

JF - Genetics Selection Evolution

SN - 0999-193X

IS - 1

M1 - 33

ER -