Erratum: Genetic parameters of a random regression model for daily feed intake of performance tested French Landrace and Large White growing pigs

Schnyder, U. W.; Höfer, Andreas; Labroue, F.; Künzi, N.

doi:10.1186/1297-9686-34-2-269

Cited by 8 publications

(13 citation statements)

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“…Owing to convergence problems, feed intake was analyzed with a first-order Legendre polynomial. Other models, such as splines (Huisman et al, 2002), fitting other mathematical functions or using Gibbs sampling for the estimation of parameters (Schnyder et al, 2001) could have been tested; however, we did not expect the low order of fit for feed intake to affect the genetic correlations.…”

Section: Discussionmentioning

confidence: 99%

“…-E-mail: marte.wetten@norsvin.no Several studies have associated the changes in pattern of growth or feed intake with genetic factors using random regressions (Veerkamp and Thompson, 1999;Schnyder et al, 2001;Huisman et al, 2002). In pigs, Schulze et al (2002) estimated genetic correlations between growth and feed intake using a multiple trait animal model.…”

Section: Introductionmentioning

confidence: 99%

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Simultaneous estimation of daily weight and feed intake curves for growing pigs by random regression

Wetten

Ødegård

Vangen

et al. 2012

Animal

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In this study, random regression models were used to estimate covariance functions between feed intake and BW in boars from the two breeds: the Norwegian Landrace and the Norwegian Duroc. In total, 1476 animals of the Norwegian Landrace breed and 1300 animals of the Norwegian Duroc breed had registrations on daily feed intake and growth from 54 to 180 days of age. Random regressions on the Legendre polynomials of age were used to describe genetic and permanent environmental curves in BW (up to the second order) and feed intake (up to the first order) for both the breeds. Heritabilities on BW increased over time for the Landrace (0.18 to 0.24), but were approximately constant for the Duroc (0.33 to 0.35). Average heritabilities for feed intake were approximately the same in both the breeds (0.09 to 0.11), and the estimates decreased over time, most pronounced in Duroc. On the basis of the current data, daily feed intake was seemingly controlled by the same genetic factors throughout the test period for Duroc; however, for Landrace, genetic correlations between test days decreased with increasing distance in time. For BW, the genetic correlations between test days were in general high, and did not go below 0.8 for any of the two breeds in this study. For both feed intake and BW, permanent environmental correlations between start and end of the test were reduced with increasing difference in days, most pronounced in Duroc. This study indicates that weight of the animal at the end of the test was more closely genetically correlated to feed intake of earlier periods compared with later periods of growth for both the breeds. This may be explained by the fact that BW is the cumulative growth of an individual, which is likely to be heavily affected by the feed intake during the most intense growth period.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simultaneous estimation of daily weight and feed intake curves for growing pigs by random regression

Wetten

Ødegård

Vangen

et al. 2012

Animal

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“…Models including additional random effects have been used in the analysis of data measured on pigs where litter effects were to be modelled (Schnyder et al 2001;Huisman et al 2002), and growth data from beef cattle (e.g. Albuquerque & Meyer 2001;Meyer 2001a;Nobre et al 2003), where both additive genetic and permanent environmental effects of the dam needed to be taken into account.…”

Section: Extensionsmentioning

confidence: 99%

Up hill, down dale: quantitative genetics of curvaceous traits

Meyer

Kirkpatrick

2005

Phil. Trans. R. Soc. B

100

107

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'Repeated' measurements for a trait and individual, taken along some continuous scale such as time, can be thought of as representing points on a curve, where both means and covariances along the trajectory can change, gradually and continually. Such traits are commonly referred to as 'functionvalued' (FV) traits. This review shows that standard quantitative genetic concepts extend readily to FV traits, with individual statistics, such as estimated breeding values and selection response, replaced by corresponding curves, modelled by respective functions. Covariance functions are introduced as the FV equivalent to matrices of covariances.Considering the class of functions represented by a regression on the continuous covariable, FV traits can be analysed within the linear mixed model framework commonly employed in quantitative genetics, giving rise to the so-called random regression model. Estimation of covariance functions, either indirectly from estimated covariances or directly from the data using restricted maximum likelihood or Bayesian analysis, is considered. It is shown that direct estimation of the leading principal components of covariance functions is feasible and advantageous. Extensions to multidimensional analyses are discussed.

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“…RRM accommodates repeated records for traits that change, gradually and continually, over time and do not require stringent assumptions about constancy of variances and correlations (Meyer, 2000). Most of the application of RRM to feed intake data has been on pigs (Schnyder et al, 2001) and dairy cattle (Veerkamp and Thompson, 1999). However, application of RRM to feed intake of beef bulls is still limited.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Feed Intake of Individually Fed Beef Bulls Using Random Regression Models

Selapa

Nephawe

Maiwashe

et al. 2009

Journal of Applied Animal Research

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Erratum: Genetic parameters of a random regression model for daily feed intake of performance tested French Landrace and Large White growing pigs

Abstract: Some misprints appeared on page 640, in Table II and in the last paragraph of Section 2.2 (line 9). One should read: "3.075 × 10 -2 ", "-4.900 × 10 -4 ", "1.440 × 10 -5 ", "2.500 × 10 -9 " and "1.0 × 10 -8 ", respectively (there are not exponential functions).

Cited by 8 publications

References 0 publications

Simultaneous estimation of daily weight and feed intake curves for growing pigs by random regression

Simultaneous estimation of daily weight and feed intake curves for growing pigs by random regression

Up hill, down dale: quantitative genetics of curvaceous traits

Analysis of Feed Intake of Individually Fed Beef Bulls Using Random Regression Models

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