Non-additive genetic effects for fertility traits in Canadian Holstein cattle (<it>Open Access publication </it>)

<p>Abstract</p> <p>The effects of additive, dominance, additive by dominance, additive by additive and dominance by dominance genetic effects on age at first service, non-return rates and interval from calving to first service were estimated. Practical considerations of computing a...

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Main Authors: Miglior Filippo, Schaeffer Lawrence R, Palucci Valentina, Osborne Vern
Format: Article
Language:deu
Published: BMC 2007-02-01
Series:Genetics Selection Evolution
Subjects:
Online Access:http://www.gse-journal.org/content/39/2/181
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spelling doaj-5a548f8202a1426f915300e2ef64a0742020-11-25T00:52:16ZdeuBMCGenetics Selection Evolution0999-193X1297-96862007-02-0139218119310.1186/1297-9686-39-2-181Non-additive genetic effects for fertility traits in Canadian Holstein cattle (<it>Open Access publication </it>)Miglior FilippoSchaeffer Lawrence RPalucci ValentinaOsborne Vern<p>Abstract</p> <p>The effects of additive, dominance, additive by dominance, additive by additive and dominance by dominance genetic effects on age at first service, non-return rates and interval from calving to first service were estimated. Practical considerations of computing additive and dominance relationships using the genomic relationship matrix are discussed. The final strategy utilized several groups of 1000 animals (heifers or cows) in which all animals had a non-zero dominance relationship with at least one other animal in the group. Direct inversion of relationship matrices was possible within the 1000 animal subsets. Estimates of variances were obtained using Bayesian methodology <it>via </it>Gibbs sampling. Estimated non-additive genetic variances were generally as large as or larger than the additive genetic variance in most cases, except for non-return rates and interval from calving to first service for cows. Non-additive genetic effects appear to be of sizeable magnitude for fertility traits and should be included in models intended for estimating additive genetic merit. However, computing additive and dominance relationships for all possible pairs of individuals is very time consuming in populations of more than 200 000 animals.</p> http://www.gse-journal.org/content/39/2/181fertilitygene interactionsdairy cattlenon-additive models
collection DOAJ
language deu
format Article
sources DOAJ
author Miglior Filippo
Schaeffer Lawrence R
Palucci Valentina
Osborne Vern
spellingShingle Miglior Filippo
Schaeffer Lawrence R
Palucci Valentina
Osborne Vern
Non-additive genetic effects for fertility traits in Canadian Holstein cattle (<it>Open Access publication </it>)
Genetics Selection Evolution
fertility
gene interactions
dairy cattle
non-additive models
author_facet Miglior Filippo
Schaeffer Lawrence R
Palucci Valentina
Osborne Vern
author_sort Miglior Filippo
title Non-additive genetic effects for fertility traits in Canadian Holstein cattle (<it>Open Access publication </it>)
title_short Non-additive genetic effects for fertility traits in Canadian Holstein cattle (<it>Open Access publication </it>)
title_full Non-additive genetic effects for fertility traits in Canadian Holstein cattle (<it>Open Access publication </it>)
title_fullStr Non-additive genetic effects for fertility traits in Canadian Holstein cattle (<it>Open Access publication </it>)
title_full_unstemmed Non-additive genetic effects for fertility traits in Canadian Holstein cattle (<it>Open Access publication </it>)
title_sort non-additive genetic effects for fertility traits in canadian holstein cattle (<it>open access publication </it>)
publisher BMC
series Genetics Selection Evolution
issn 0999-193X
1297-9686
publishDate 2007-02-01
description <p>Abstract</p> <p>The effects of additive, dominance, additive by dominance, additive by additive and dominance by dominance genetic effects on age at first service, non-return rates and interval from calving to first service were estimated. Practical considerations of computing additive and dominance relationships using the genomic relationship matrix are discussed. The final strategy utilized several groups of 1000 animals (heifers or cows) in which all animals had a non-zero dominance relationship with at least one other animal in the group. Direct inversion of relationship matrices was possible within the 1000 animal subsets. Estimates of variances were obtained using Bayesian methodology <it>via </it>Gibbs sampling. Estimated non-additive genetic variances were generally as large as or larger than the additive genetic variance in most cases, except for non-return rates and interval from calving to first service for cows. Non-additive genetic effects appear to be of sizeable magnitude for fertility traits and should be included in models intended for estimating additive genetic merit. However, computing additive and dominance relationships for all possible pairs of individuals is very time consuming in populations of more than 200 000 animals.</p>
topic fertility
gene interactions
dairy cattle
non-additive models
url http://www.gse-journal.org/content/39/2/181
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