Performance Testing of Pigs for Lean Tissue Growth Rate in a Selection Experiment with Low and High Protein Diets: 1. Experimental Design and Efficiency of Selection

Stern, Susanne; Johansson, Kjell; Rydhmer, Lotta; Andersson, Kjell

doi:10.1080/09064709309410157

Cited by 8 publications

(16 citation statements)

References 16 publications

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“…Nevertheless, the lean meat content can be predicted from ultrasound measurements of backfat and loin, which can then be used for the prediction of lean meat growth (PLMG). In studies of PLMG, heritability estimates range from 0.37 to 0.47 (Stern et al, 1993;Cameron, 1994;Chen et al, 2002). These estimates are in the range of our estimate for Duroc, whereas Cameron and Curran (1994) found a lower heritability (0.25) at the same magnitude as our estimate for Landrace.…”

Section: Discussionsupporting

confidence: 59%

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: 59%

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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“…Larzul et al (1997). O ganho médio diário de peso e a taxa de crescimento em músculo, também apresentaram valores semelhantes aos observados na literatura, sendo que para estes últi-mos, variaram de 0,26 a 0,37 kg/dia (Bereskin, 1987;Stern et al, 1993;Larzul et al, 1997).…”

Section: Resultsunclassified

“…As estimativas de herdabilidade obtidas para GPMD e TCM foram elevadas, sendo semelhantes às encontradas por Stern et al (1993), Chen et al (1994) e Cameron (1994, evidenciando a possibilidade de haver grande progresso genético neste rebanho, em programas de melhoramento com o propósito de se aumentar o ganho de peso e a taxa de deposição de carne na carcaça.…”

Section: Resultsunclassified

Estimativa de parâmetros genéticos para características de carcaça em um rebanho de suínos Large White

et al. 2004

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Com o objetivo de estimar parâmetros genéticos para características de carcaça de suínos, foram utilizados dados de rendimento de carcaça (RC), comprimentos de carcaça pelo método Brasileiro (CCMB) e pelo método americano (CCMA), espessuras de toucinho média (ETM) e a 6,5 cm da linha dorsal (P2), área de olho de lombo (AOL), relação carne:gordura (RCG), rendimento de pernil (RP), porcentagens de carne (PC), gordura (PG) e cortes magros (PCM), relação peso da gordura/peso da carne (RGC) e taxa de crescimento em músculo (TCM), obtidos de 711 suínos Large White. Os componentes de (co)variância foram estimados pelo método da Máxima Verossimilhança Restrita (REML), incluindo no modelo efeitos fixos (sexo e grupo contemporâneo) e aleatórios (efeitos genéticos e residuais). Utilizou-se a covariável "peso de abate" para RC e "peso da carcaça fria" para CCMB, CCMA, ETM, P2, AOL e RCG. Estimativas de h² para RC, CCMB, CCMA, ETM, P2, AOL, RCG, RP, PC, PG, PCM, RGC e TCM foram, respectivamente, 0,39, 0,34, 0,19, 0,17, 0,16, 0,27, 0,15, 0,12, 0,45, 0,36, 0,32, 0,39 e 0,37. Espessura de toucinho média, P2 e RCG foram as características mais correlacionadas geneticamente com carne e gordura da carcaça, seguidas da AOL, CCMA e RP, com tendência similar para as correlações fenotípicas. AOL e RCG tiveram maiores correlações genéticas e fenotípicas com TCM, ou seja, melhoram, por intermédio de seleção, a qualidade da carcaça do animal e a taxa de produção de carne.

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“…Both selection lines were tested on low, medium and high dietary protein levels, respectively. It was concluded that selection for increased LTGR in swine ought to be performed under a high protein feeding regime rather than under a low one because of the faster genetic progress achieved (Johansen et al, 1993;Stern et al, 1993). The genetic difference between the selection lines did not result in any interactions between test diets and selection lines (diet x genotype) regarding important production traits.…”

Section: Introductionmentioning

confidence: 99%

“…Selection was made for increased lean tissue growth rate (LTGR) in two lines, fed diets with either low or high protein levels (Stern, 1993). Both selection lines were tested on low, medium and high dietary protein levels, respectively.…”

Section: Introductionmentioning

confidence: 99%

Effect on Carcass Traits of Selection for Increased Lean Tissue Growth Rate in Swine on Low or High Dietary Protein Levels

Johansen

Håkansson

Andersson

1993

Acta Agriculturae Scandinavica, Section A - Animal Science

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Lovsta Research Station, S-755 97 Uppsala, Sweden). Effect on carcass traits of selection for increased lean tissue growth rate in swine on low or high dietary protein levels.Pigs were selected for lean tissue growth rate (LTGR) in two lines, fed low (LP line) or high (HP line) protein levels. This investigation comprised 92 and 95 pigs, respectively, from generation 3 of the two lines, tested on low, medium and high protein diets between 25 and 105 kg body weight. HP compared to LP line pigs had higher ham percentage (P=0.02), thinner backfat (P=0.003) and lower intramuscular fat content ( P = 0.01). A positive correlated response (P=0.02) in osteochondrosis score of femur (OCD,) was found in the HP line. There were unfavourable correlations (P

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Performance Testing of Pigs for Lean Tissue Growth Rate in a Selection Experiment with Low and High Protein Diets: 1. Experimental Design and Efficiency of Selection

Cited by 8 publications

References 16 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

Estimativa de parâmetros genéticos para características de carcaça em um rebanho de suínos Large White

Effect on Carcass Traits of Selection for Increased Lean Tissue Growth Rate in Swine on Low or High Dietary Protein Levels

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