Within-litter variation of birth weight in hyperprolific Czech Large White sows and its relation to litter size traits, stillborn piglets and losses until weaning

Wolf, Jochen B. W.; Žáková, Eliška; Groeneveld, Eildert

doi:10.1016/j.livsci.2007.07.009

Cited by 144 publications

(183 citation statements)

References 25 publications

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“…This issue justifies the association of variability with mean value within litter. Hermesch et al (2001) analysed the coefficient of within-litter variation and estimated a heritability of 11%, whereas Wolf et al (2008) reported a low heritability of 5%.…”

Section: Discussionmentioning

confidence: 99%

Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs

Wittenburg

Guiard

Teuscher

et al. 2008

Animal

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Genetics affects not only the weight of piglets at birth but also the variability of birth weight within litter. Previous studies on this topic assigned the sample standard deviation of piglet birth weights within litter as an observation to the sow. However, the contribution of the difference in mean birth weight per sex on the within-litter variance has been neglected so far. This work deals with the genetic effect on within-litter variance when different statistical models with different distributional assumptions are used and considers the sex effect and appropriate weights per trait. Traits were formed from the pooled sample variance of male and female birth weights within litter. A linear model approach was fitted to the logarithmized within-litter variance and the sample standard deviation. A generalized linear model with gamma-distributed residuals and log-link function was applied to the untransformed sample variance. Models were compared by analysing data from 9439 litters from Landrace and Large White of a commercial breeding programme. The estimates of heritability for different traits ranged from 7% to 11%. Although the generalized linear mixed model is preferred from a mathematical view, the rank correlations between breeding values of the linear mixed models and the generalized linear mixed model were relatively high, i.e. 94% to 98%. By residual diagnostics, a linear mixed model using the weighted and pooled within-litter standard deviation was identified as most suitable.

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Section: Discussionmentioning

confidence: 99%

Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs

Wittenburg

Guiard

Teuscher

et al. 2008

Animal

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“…Among factors common to preweaning mortality in all systems, as previous work has reported (Van der Lende and de Jager 1991, Daza, Evangelista et al 1999, Hogberg and Rydhmer 2000, Koketsu, Takenobu et al 2006, Cecchinato, Maretto et al 2007, Su, Lund et al 2007, Wolf, Zakova et al 2008, there was an increased risk of piglet mortality in larger litters. Associations between litter size and mortality are thought to occur because parturition is longer, piglets are smaller and competition for food is increased.…”

Section: Discussionmentioning

confidence: 62%

“…In all farrowing systems, piglet mortality is affected by litter size (Wolf et al, 2008), fostering practice (Robert and Martineau, 2001), sow parity (Tubbs et al, 1993), disease status and treatment and vaccination regimes (Wittum et al, 1995). Provision of assistance by farm workers to new born piglets, such as drying the piglet or moving it to the teat, has also been reported to reduce preweaning piglet mortality (Andersen et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Risks associated with preweaning mortality in 855 litters on 39 commercial outdoor pig farms in England

Kilbride

Mendl

Statham

et al. 2014

Preventive Veterinary Medicine

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litters. Overall, 1274 liveborn piglets (13.5%) died before weaning. A mixed effect binomial model was used to investigate the associations between preweaning mortality and farm and litter level factors, controlling for litter size and number of piglets stillborn and fostered. Increased risk of mortality was associated with fostering piglets over 24 hours of age, organic certification or membership of an assurance scheme with higher welfare standards, farmers' perception that there was a problem with pest birds, use of medication to control coccidiosis and presence of lame sows on the farm. Reduced mortality was associated with insulated farrowing huts and door flaps, women working on the farm and the farmer reporting a problem with foxes.

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“…Program seleksi berdasarkan heritabilitas akan sangat rumit karena pada sifat reproduksi terutama bobot lahir dan litter size anak babi saling ada korelasi negatif (Wolf et al, 2008)000 piglets. Pada babi lokal Nigeria, seleksi individu mungkin diperkirakan untuk meningkatkan genetik dari bobot lahir lebih efektif bila dibandingkan bobot lahir sekelahiran dan bobot anak saat disapih (Ajayi and Akinokun, 2013).…”

Section: Nilai Pemuliaanunclassified

Estimation of Heritability and Breeding Value of Piglet Birth Weight

Soewandi¹,

Nurgiartiningsih

Kuswati

2017

j. widyariset

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Article historyBerat lahir anak babi memiliki nilai ekonomis dan memiliki korelasi dengan berat sapi, sehingga seleksi berat lahir anak babi diperlukan untuk peningkatan genetik. Penelitian ini bertujuan untuk mengestimasi peningkatan genetik berat lahir anak babi berdasarkan nilai heritabilitas dan nilai pemuliaan. Sampel pada penelitian adalah 154 ekor anak babi yang berasal dari enam ekor pejantan dan 14 ekor induk babi. Analisis dilakukan untuk mengetahui heritabilitas (metode nested classification), nilai pemuliaan, respon seleksi, dan estimasi kemajuan genetik. Hasil penelitian menunjukkan bahwa nilai heritabilitas jantan 0,24±0,15, Berdasarkan nilai pemuliaan, pejantan dengan bobot lahir tinggi dapat digunakan dalam ranking pejantan. Nilai respon seleksi diketahui sebesar 0,06 kg. Berdasarkan nilai respon seleksi tersebut dapat diperkirakan kemajuan bobot lahir anak babi berdasarkan penggunaan pejantan.

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Within-litter variation of birth weight in hyperprolific Czech Large White sows and its relation to litter size traits, stillborn piglets and losses until weaning

Cited by 144 publications

References 25 publications

Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs

Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs

Risks associated with preweaning mortality in 855 litters on 39 commercial outdoor pig farms in England

Estimation of Heritability and Breeding Value of Piglet Birth Weight

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