Multivariate restricted  maximum likelihood estimation  of genetic parameters for growth,  carcass and meat quality traits  in French Large White  and French Landrace pigs

Ducos, Alain; Bidanel, J. P.; Ducrocq, V.; Boichard, D.; Groeneveld, E.

doi:10.1051/gse:19930506

Cited by 18 publications

(29 citation statements)

References 24 publications

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“…It can be noted that values were generally lower for body composition traits than for growth and feed intake traits. This indicates no significant genotype by sex interaction for these traits, as was reported previously for FCR between females and castrates (Smith & Ross 1965), for ADG between boars on one hand and castrates and females on the other hand (Ducos et al 1993) and for carcass BFT between females and castrates (Jonsson 1971). Only the genetic correlation of BFT between males and castrates and between males and females, respectively 0.65 ± 0.14 and 0.69 ± 0.20, might suggest the presence of genotype by sex interactions, as found by Smith & Ross (1965) and McKay & Rahnefeld (1986).…”

Section: Resultssupporting

confidence: 79%

Genetic correlations between males, females and castrates for residual feed intake, feed conversion ratio, growth rate and carcass composition traits in Large White growing pigs

Saintilan

Sellier

Billon

et al. 2011

J Animal Breeding Genetics

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Data were collected in the course of a divergent selection experiment for residual feed intake (RFI) of Large White growing pigs. This data set was used to estimate (i) heritability for RFI and genetic correlations of RFI with growth and carcass traits within the three sexes (male, castrate and female) and (ii) genetic correlations between sexes for these traits. Individual feed intake of animals raised in collective pens was measured by single-place electronic feeders on 1121 males (candidates for selection), 508 females and 535 castrates (sibs of candidates). Variance components were estimated using the REML methodology applied to a multitrait animal model. Estimates of heritability for RFI were 0.16 ± 0.04, 0.16 ± 0.08 and 0.23 ± 0.10 for males, females and castrates, respectively. Estimates of genetic correlations between sexes for homologous traits were not significantly different from 1 (0.88 to 0.99 for RFI, 0.79 to 0.99 for growth traits and 0.65 to 0.99 for carcass composition traits). The relatively low genetic correlations between castrates and males or females for backfat thickness (0.65 and 0.69, respectively) suggest the presence of genotype by sex interactions for this trait.

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Section: Resultssupporting

confidence: 79%

Genetic correlations between males, females and castrates for residual feed intake, feed conversion ratio, growth rate and carcass composition traits in Large White growing pigs

Saintilan

Sellier

Billon

et al. 2011

J Animal Breeding Genetics

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“…Pooled heritability estimate of 0.47 for back fat thickness was reported across Australian Y (Large White) and L performance-tested boars with feed ad libitum (McPhee et al 1979). Higher estimates of 0.56 and 0.64 for back fat thickness were obtained in French L and Y (Large White) (Ducos et al 1993). Furthermore, Hicks et al (1999) reported heritability estimates from a Japanese Large White population of 0.43 for ADG and 0.69 for back fat.…”

Section: Heritability Of Growth Traitsmentioning

confidence: 93%

Genetic correlations between male reproductive traits and growth traits in growth performance tested Duroc, Landrace and Yorkshire breed boars

HsiuLuan

Lai

et al. 2017

Animal Science Journal

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Male-related traits at 180-225 days of age for 6464 grow-finish performance tested boars were measured from 2000 to 2016. Heritability estimates and genetic correlations among average daily gain, feed efficiency, back fat thickness, teat counts, mounting libido, leg locomotion, penile length, sperm motility, sperm concentration and total sperm counts were estimated by VCE software using a multiple traits animal model in each breed. Growth-tested boars had heritability estimates of male reproductive traits in 0.34-0.56 of teat counts, 0.12-0.20 of libido, 0.08-0.12 of locomotion, 0.17-0.58 of penile length, 0.04-0.21 of sperm motility and concentration, 0.17-0.30 of total sperm counts. Total sperm counts were genetically positively correlated with penile length in all breeds. Boars with higher total sperm counts had genetically better libido and locomotion. Genetic correlation between feed efficiency and sperm motility and feed efficiency and sperm concentration were positive in Duroc and negative in Landrace and Yorkshire. Sperm motility and concentration were genetically negatively correlated with average daily gain in Yorkshire. Male reproductive traits of imported breeds could be improved with care in the change of growth traits, especially in Yorkshire.

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“…The latter estimates were obtained by a multivariate derivative free REML program that is compatible with a wide variety of statistical models (Groeneveld, 1991, Ducos el al;1992, Bergfeld and Groeneveld;, Tixier-Boichard el al, 1992Bidanel el al, 1992;Groeneveld el al., 1992;Spilke el al, 1993;Ducos et al, 1993;Dietl el al, 1993;Brade and Groeneveld, 1993;Spilke and Groeneveld, 1994;Groeneveld, 1994a;Groeneveld, 1994b). With this package, residual and additive genetic covariance matrices could be estimated for all 5 traits simultaneously.…”

Section: Introductionmentioning

confidence: 92%

Simultaneous estimation of variances and covariances using REML and Henderson 3 in a selected population of white leghorns

Mielenz

Groeneveld²,

Müller

et al. 1994

British Poultry Science

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1. Genetic and residual variances and covariances were estimated on performance data from 5943 lyaing hens from a 7 generation selection experiment for the traits: egg number up to day 270 (EN270), egg weight (EW), body weight at day 215 (BW), egg mass 100 g of food (EMFC), and residual food consumption (RFC) by a Henderson 3 and REML procedure. 2. Simultaneous REML estimates of all 30 components were obtained by a software package is based on numerical optimisation of the log likelihood using a multivariate animal model. Henderson 3 estimates were computed on the basis of a hierarchical sire-dam model. Estimates were generated beginning with a data set comprising only the first generation, and then successively adding one generation after the other. 3. REML estimates for heritabilities h2 on the basis of all performance records were 0.40, 0.75, 0.62, 0.21 and 0.22 for traits EN270, EW, BW, EMFC, and RFC, respectively. The corresponding Henderson 3 estimates were: 0.30, 0.57, 0.43, 0.21, and 0.20. 4. The results indicate that some REML h2 estimates are substantially different from those obtained by Henderson 3 once the data set included three generations as opposed to those based on Henderson 3.

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Multivariate restricted maximum likelihood estimation of genetic parameters for growth, carcass and meat quality traits in French Large White and French Landrace pigs

Cited by 18 publications

References 24 publications

Genetic correlations between males, females and castrates for residual feed intake, feed conversion ratio, growth rate and carcass composition traits in Large White growing pigs

Genetic correlations between males, females and castrates for residual feed intake, feed conversion ratio, growth rate and carcass composition traits in Large White growing pigs

Genetic correlations between male reproductive traits and growth traits in growth performance tested Duroc, Landrace and Yorkshire breed boars

Simultaneous estimation of variances and covariances using REML and Henderson 3 in a selected population of white leghorns

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