Genetic parameters related to environmental variability of weight traits in a selection experiment for weight gain in mice; signs of correlated canalised response

Ibáñez‐Escriche, Noelia; Mínguez, Almudena Moreno; Nieto, B.; Piqueras, Pepa; Salgado, C.; Gutiérrez, Juan Pablo

doi:10.1051/gse:2008003

Cited by 23 publications

(36 citation statements)

References 27 publications

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“…In this case, most of the estimates were obtained by using maternal models because previously published results (Pun et al, 2013) showed the convenience of analysing BW environmental variability as a maternal trait. The maternal heritability obtained for the traits were within the range of previous results published on mice (Ibáñez-Escriche et al, 2008). The estimate of maternal heritability for SW was slightly lower than the value of 0.10 reported in pigs (Mesa et al, 2006).…”

Section: Discussionsupporting

confidence: 57%

“…The three-way cross-population was previously maintained in panmixia during 40 generations ensuring high levels of both genetic and phenotypic variability. This high-variability population was also the origin for other selection experiments (Fernández et al, 1998;Gutiérrez et al, 2006;Ibáñez-Escriche et al, 2008;Moreno et al, 2011;Pun et al, 2013). To set up the low and high-variability lines, initially a total of 64 males and females were randomly mated one male to one female having two litters in order to evaluate the mothers for the environmental BW variability of their offspring.…”

Section: Datamentioning

confidence: 99%

“…where A is the additive genetic relationship matrix; σ cÃ are the litter effect variances affecting, respectively, the mean of the trait and its environmental variability (Ibáñez-Escriche et al, 2008). The systematic effects (b and/or b*) of the applied models included generation (eight levels), LS (from 2 to 17, 16 levels) except for LS and SDLS, sex (male and female for WW and also unknown for BW) and parity number (two levels).…”

Section: Modelsmentioning

confidence: 99%

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Correlated genetic trends for production and welfare traits in a mouse population divergently selected for birth weight environmental variability

García-Rebollar¹,

Cervantes²,

Ibáñez‐Escriche

et al. 2016

Animal

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The objective of this work was to study the changes that, selecting for environmental variability of birth weight (BW), could bring to other interesting traits in livestock such as: survivability at weaning (SW), litter size (LS) and weaning weight (WW), their variability assessed from standard deviations of LS, standard deviation of WW (SDWW) and also the total litter weight at birth (TLBW) and total litter weight at weaning. Data were registered after eight generations of a divergent selection experiment for BW environmental variability in mice. Genetic parameters and phenotypic and genetic evolution were assessed using linear homoscedastic and heteroscedastic models in which the traits were attributed to the female, except BW and WW that were in some models also attributed to the pup. Genetic correlation between the trait and variability levels was −0.81 for LS and −0.33 for WW. Clear divergent phenotypic trends were observed between lines for LS, WW and SDWW. Although animals were heavier in the high line, TLBW and at weaning was greater in the low line. Despite the negative genetic correlation that was obtained, SDWW was also higher in the high line. Heritabilities were 0.21 and 0.06, respectively, for LS and SW. Both phenotypic and genetic trends showed clear superiority of the low line over the high line for these traits, but inferior for WW. Heteroscedastic model performed similar to the homoscedastic model when there was enough information. Considering LS and survival, the low line was preferred from a welfare point of view, but its superiority from the productivity perspective was not clear. Robustness seemed higher as shown by a low variation and having a benefit to the animal welfare, but this still remains unclear. It was concluded that low variation benefits the welfare of animals.

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Section: Discussionsupporting

confidence: 57%

Section: Datamentioning

confidence: 99%

Section: Modelsmentioning

confidence: 99%

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Correlated genetic trends for production and welfare traits in a mouse population divergently selected for birth weight environmental variability

García-Rebollar¹,

Cervantes²,

Ibáñez‐Escriche

et al. 2016

Animal

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“…Iba´n˜ez-Escriche et al (2008 b) consider the optimization and concluded that such a selection experiment to estimate the genetic variance in V Ew would also have to be large, particularly when n is small (e.g. n=2, for bilateral traits).…”

Section: (Iii) Selection Experimentsmentioning

confidence: 99%

Genetic analysis of environmental variation

2010

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SummaryEnvironmental variation (V E ) in a quantitative trait -variation in phenotype that cannot be explained by genetic variation or identifiable genetic differences -can be regarded as being under some degree of genetic control. Such variation may be either between repeated expressions of the same trait within individuals (e.g. for bilateral traits), in the phenotype of different individuals, where variation within families may differ, or in both components. We consider alternative models for defining the distribution of phenotypes to include a component due to heterogeneity of V E . We review evidence for the presence of genetic variation in V E and estimates of its magnitude. Typically the heritability of V E is under 10 %, but its genetic coefficient of variation is typically 20 % or more. We consider experimental designs appropriate for estimating genetic variance in V E and review alternative methods of estimation. We consider the effects of stabilizing and directional selection on V E and review both the forces that might be maintaining levels of V E and heritability found in populations. We also evaluate the opportunities for reducing V E in breeding programmes. Although empirical and theoretical studies have increased our understanding of genetic control of environmental variance, many issues remain unresolved.

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“…SanCristobal-Gaudy et al (2001), Sorensen and Waagepetersen (2003), Ros et al (2004), Gutierrez et al (2006) and Ibanez-Escriche et al (2008a and2008b) used a structural model for heterogeneous residual variance and found substantial genetic variation in residual variance for litter size in sheep, litter size in pigs, body weight in snails, litter size and weight in mice, body weight traits in mice, and slaughter weight in pigs, respectively. Rowe et al (2006) found substantial genetic heterogeneity of residual variance between sire families in body weight of broilers.…”

Section: Introductionmentioning

confidence: 99%

Estimation of genetic variation in residual variance in female and male broiler chickens

Mulder¹,

Hill

Vereijken

et al. 2009

Animal

108

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In breeding programs, robustness of animals and uniformity of end product can be improved by exploiting genetic variation in residual variance. Residual variance can be defined as environmental variance after accounting for all identifiable effects. The aims of this study were to estimate genetic variance in residual variance of body weight, and to estimate genetic correlations between body weight itself and its residual variance and between female and male residual variance for broilers. The data sets comprised 26 972 female and 24 407 male body weight records. Variance components were estimated with ASREML. Estimates of the heritability of residual variance were in the range 0.029 (s.e. 5 0.003) to 0.047 (s.e. 5 0.004). The genetic coefficients of variation were high, between 0.35 and 0.57. Heritabilities were higher in females than in males. Accounting for heterogeneous residual variance increased the heritabilities for body weight as well. Genetic correlations between body weight and its residual variance were 20.41 (s.e. 5 0.032) and 20.45 (s.e. 5 0.040), respectively, in females and males. The genetic correlation between female and male residual variance was 0.11 (s.e. 5 0.089), indicating that female and male residual variance are different traits. Results indicate good opportunities to simultaneously increase the mean and improve uniformity of body weight of broilers by selection.

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Genetic parameters related to environmental variability of weight traits in a selection experiment for weight gain in mice; signs of correlated canalised response

Cited by 23 publications

References 27 publications

Correlated genetic trends for production and welfare traits in a mouse population divergently selected for birth weight environmental variability

Correlated genetic trends for production and welfare traits in a mouse population divergently selected for birth weight environmental variability

Genetic analysis of environmental variation

Estimation of genetic variation in residual variance in female and male broiler chickens

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