Genetic correlations between test station and on-farm performance traits in Large White and French Landrace pig breeds

Bidanel, J. P.; Ducos, Alain

doi:10.1016/0301-6226(95)00079-8

Cited by 20 publications

(19 citation statements)

References 15 publications

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“…The estimated parameters in this study clearly show the unfavourable connection between ADG2 and NCG. NCG has not been discussed in earlier studies, but our results are in accordance with Bidanel and Ducos (1996) and Norsvin's selection parameters, in which unfavourable genetic correlations between growth and dressing percentage were estimated. Dressing percentage is almost the inverse trait to the percentage of noncarcass tissues.…”

Section: Discussionsupporting

confidence: 91%

Genetic parameters between slaughter pig efficiency and growth rate of different body tissues estimated by computed tomography in live boars of Landrace and Duroc

Gjerlaug-Enger

Kongsro

Ødegård

et al. 2012

Animal

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In this study, computed tomography (CT) technology was used to measure body composition on live pigs for breeding purposes. Norwegian Landrace (L; n 5 3835) and Duroc (D; n 5 3139) boars, selection candidates to be elite boars in a breeding programme, were CT-scanned between August 2008 and August 2010 as part of an ongoing testing programme at Norsvin's boar test station. Genetic parameters in the growth rate of muscle (MG), carcass fat (FG), bone (BG) and non-carcass tissue (NCG), from birth to ,100 kg live weight, were calculated from CT data. Genetic correlations between growth of different body tissues scanned using CT, lean meat percentage (LMP) calculated from CT and more traditional production traits such as the average daily gain (ADG) from birth to 25 kg (ADG1), the ADG from 25 kg to 100 kg (ADG2) and the feed conversion ratio (FCR) from 25 kg to 100 kg were also estimated from data on the same boars. Genetic parameters were estimated based on multi-trait animal models using the average information-restricted maximum likelihood (AI-REML) methodology. The heritability estimates (s.e. These results showed the difficulty in jointly improving LMP and ADG2. ADG2 was unfavourably correlated with FG (L: 0.84 and D: 0.72), thus indicating to a large extent that selection for increased growth implies selection for fatness under an ad libitum feeding regime. Selection for MG is not expected to increase ADG2, but will yield faster growth of the desired tissues and a better carcass quality. Hence, we consider MG to be a better biological trait in selection for improved productivity and carcass quality. CT is a powerful instrument in conjunction with breeding, as it combines the high accuracy of CT data with measurements taken from the selection candidates. CT also allows the selection of new traits such as real body composition, and in particular, the actual MG on living animals.

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Section: Discussionsupporting

confidence: 91%

Genetic parameters between slaughter pig efficiency and growth rate of different body tissues estimated by computed tomography in live boars of Landrace and Duroc

Gjerlaug-Enger

Kongsro

Ødegård

et al. 2012

Animal

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“…The result about the age is not in agreement with other literature references where LW are generally reported to grow faster than Landrace pigs (GU et al, 1989, FERRAZ andJOHNSON, 1993;BIDANEL et al, 1994;DUCOS and BIDANEL, 1996). Furthermore, LD pigs are reported to be leaner (GU et al, 1989) or fatter at standardized liveweight (FERRAZ and JOHNSON, 1993;BIDANEL and DUCOS, 1996;DUCOS and BIDANEL, 1996) as in the present study. Since the animals of the present study were kept under the same environmental conditions the observed differences may reflect strain differences of the breeds used.…”

Section: Discussion Breed and Sex Differencescontrasting

confidence: 89%

Genetic parameters of production and reproduetive traits in on a farm tested Danish Large White and Landrace swine in Greece

et al. 2000

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SummaryProduction and reproduetive traits in Danish Landrace (LD) and Large White (LW) swine were analysed by restricted maximum likelihood methods to obtain heritabilities as well as genetic and phenotypic correlations. Production traits were: age, backfat thickness (BT), muscle depth (MD) and the ratio BT/MD, adjusted to Standard bodyweight of 85 kg. Reproduction traits were: number of pigs born (NB) and number of pigs weaned (NW) per sow and parity. Heritabilities for age, BT, MD and BT/MD were 0.60, 0.44, 0.51 and 0.42 for LD and 0.36, 0.44, 0.37 and 0.45 for LW, respectively. Genetic correlations between age and BT were -0.22 in LD and -0.44 in LW. The genetic correlation between age and MD was close to zero in both breeds. Genetic correlation between BT and MD were -0.36 and -0.25 in LD and LW, respectively. Heritabilities for NB were 0.25 in LD and 0.13 in LW while heritabilities for NW were close to zero in both breeds. Genetic correlation between NB and NW was 0.46 and 0.70 in LD and LW, respectively. Die geschätzte genetische Korrelation zwischen dem Alter und der BT betrug -0,22 bei den LD-und -0,44 bei den LW-Schweinen, während die entsprechende Korrelation zwischen dem Alter und der MD in beiden Rassen nahe Null lag. Die geschätzte genetische Korrelation zwischen der BT and der MD betrug -0,36 bei den LD-und -0,25 bei den LW-Schweinen. Die Heritabilitätswerte für die NB betrug 0,25 bei den LD-und 0,13 bei den LWSchweinen, während die entsprechenden Werte für die NW bei beiden Rassen gleich Null waren. Zwischen der NB und der NW wurde eine genetische Korrelation von 0,46 bei den LD-und von 0,70 bei den LW-Schweinen ermittelt.

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“…Moreover, combining purebred and crossbred data to estimate genetic merit of purebred animals for crossbred performance increases the accuracy of EBV (Lutaaya et al, 2001;Habier et al, 2007). Several authors (Bidanel and Ducos, 1996;Peskovicová et al, 2002) proposed the joint use of test station and on-farm data if available; that is the case in the Walloon Region of Belgium.…”

Section: Introductionmentioning

confidence: 97%

Using test station and on-farm data for the genetic evaluation of Piétrain boars used on Landrace sows for growth performance1

Dufrasne

Rustin

Jaspart

et al. 2011

Journal of Animal Science

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The aim of this study was to develop a new genetic evaluation model to estimate the genetic merit of boars for growth based on 1) performance of their crossbred progeny fattened in the test station and 2) their own performance or those of relatives from the on-farm testing system. The model was a bivariate random regression animal model with linear splines and was applied to Piétrain boars from the Walloon Region of Belgium mated with Landrace sows. Data contained 1) 12,610 BW records from the test station collected on 1,435 crossbred pigs from Piétrain boars and Landrace sows, and 2) 52,993 BW records from the on-farm testing system collected on 50,670 pigs with a breed composition of at least 40% Piétrain or Landrace. Since 2007, 56 Piétrain boars have been tested in the station. Data used to estimate variance components and breeding values were standardized for the age to take into account heterogeneity of variances and then pre-adjusted at 210 d of age to put all records on the same scale. Body weight records from the test station and from the on-farm testing system were considered as 2 different traits. The heterosis effect was modeled as fixed regression on the heterozygosity coefficient. As all test station animals were similarly crossbred, smaller variation in heterozygosity caused the sampling error of the regression estimate at 210 d to be larger in the test station than in on-farm data with estimates of 28.35 ± 14.55 kg and 9.02 ± 0.67 kg, respectively. Therefore, the most likely reason for the large differences in estimates was sampling. Heritability estimates ranged from 0.37 to 0.60 at 210 and 75 d, respectively, for test station BW and from 0.42 to 0.60 at 210 d and 175 d, respectively, for on-farm BW. Genetic correlation decreased when the age interval between records increased, and were greater between ages for test station than for on-farm data. Genetic correlations between test station and on-farm BW at the same age were high: 0.90 at 175 d and 0.85 at 210 d. For the 56 boars tested in the station, the average reliability of their EBV for ADG between 100 and 210 d was improved from 0.60 using only test station data to 0.69 using jointly test station and on-farm data. Based on these results, the new model developed was considered as a good method of detection of differences in growth potential of Piétrain boars based on test station and on-farm data.

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Genetic correlations between test station and on-farm performance traits in Large White and French Landrace pig breeds

Cited by 20 publications

References 15 publications

Genetic parameters between slaughter pig efficiency and growth rate of different body tissues estimated by computed tomography in live boars of Landrace and Duroc

Genetic parameters between slaughter pig efficiency and growth rate of different body tissues estimated by computed tomography in live boars of Landrace and Duroc

Genetic parameters of production and reproduetive traits in on a farm tested Danish Large White and Landrace swine in Greece

Using test station and on-farm data for the genetic evaluation of Piétrain boars used on Landrace sows for growth performance1

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