Literature DB >> 18479267

Genetic (co)variances and breeding value estimation of Gompertz growth curve parameters in Finnish Yorkshire boars, gilts and barrows.

M Koivula1, M-L Sevón-Aimonen, I Strandén, K Matilainen, T Serenius, K J Stalder, E A Mäntysaari.   

Abstract

This paper's objectives were to estimate the genetic (co)variance components of the Gompertz growth curve parameters and to evaluate the relationship of estimated breeding values (EBV) based on average daily gain (ADG) and Gompertz growth curves. Finnish Yorkshire central test station performance data was obtained from the Faba Breeding (Vantaa, Finland). The final data set included 121,488 weight records from 10,111 pigs. Heritability estimates for the Gompertz growth parameters mature weight (alpha), logarithm of mature weight to birth weight ratio (beta) and maturation rate (kappa) were 0.44, 0.55 and 0.31, respectively. Genotypic and phenotypic correlations between the growth curve parameters were high and mainly negative. The only positive relationship was found between alpha and beta. Pearson and Spearman rank correlation coefficients between EBV for ADG and daily gain calculated from Gompertz growth curves were 0.79. The Spearman rank correlation between the sire EBV for ADG and Gompertz growth curve parameter-based ADG for all sires with at least 15 progeny was 0.86. Growth curves differ significantly between individuals and this information could be utilized for selection purposes when improving growth rate in pigs.

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Year:  2008        PMID: 18479267     DOI: 10.1111/j.1439-0388.2008.00726.x

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  5 in total

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Journal:  Theranostics       Date:  2020-06-19       Impact factor: 11.556

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Journal:  Animals (Basel)       Date:  2022-06-22       Impact factor: 3.231

5.  Effects of correcting missing daily feed intake values on the genetic parameters and estimated breeding values for feeding traits in pigs.

Authors:  Tetsuya Ito; Kazuo Fukawa; Mai Kamikawa; Satoshi Nikaidou; Masaaki Taniguchi; Aisaku Arakawa; Genki Tanaka; Satoshi Mikawa; Tsutomu Furukawa; Kensuke Hirose
Journal:  Anim Sci J       Date:  2017-08-30       Impact factor: 1.749

  5 in total

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